Xiuwen Zheng
| Snapshot Date: 2024-03-27 14:00:18 -0400 (Wed, 27 Mar 2024) |
| git_url: https://git.bioconductor.org/packages/SNPRelate |
| git_branch: devel |
| git_last_commit: dd437f1 |
| git_last_commit_date: 2024-03-09 04:07:20 -0400 (Sat, 09 Mar 2024) |
| Back to Multiple platform build/check report for BioC 3.19: simplified long |
|
This page was generated on 2024-03-28 11:41:21 -0400 (Thu, 28 Mar 2024).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 22.04.3 LTS) | x86_64 | R Under development (unstable) (2024-03-18 r86148) -- "Unsuffered Consequences" | 4708 |
| palomino3 | Windows Server 2022 Datacenter | x64 | R Under development (unstable) (2024-03-16 r86144 ucrt) -- "Unsuffered Consequences" | 4446 |
| lconway | macOS 12.7.1 Monterey | x86_64 | R Under development (unstable) (2024-03-18 r86148) -- "Unsuffered Consequences" | 4471 |
| kunpeng2 | Linux (openEuler 22.03 LTS-SP1) | aarch64 | R Under development (unstable) (2024-03-19 r86153) -- "Unsuffered Consequences" | 4426 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
| Package 1990/2270 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| SNPRelate 1.37.3 (landing page) Xiuwen Zheng
| nebbiolo1 | Linux (Ubuntu 22.04.3 LTS) / x86_64 | OK | OK | OK | | ||||||||
| palomino3 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | | ||||||||
| lconway | macOS 12.7.1 Monterey / x86_64 | OK | OK | OK | OK | | ||||||||
| kunpeng2 | Linux (openEuler 22.03 LTS-SP1) / aarch64 | OK | OK | OK | ||||||||||
|
To the developers/maintainers of the SNPRelate package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/SNPRelate.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. - See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host. |
| Package: SNPRelate |
| Version: 1.37.3 |
| Command: /home/biocbuild/R/R-4.4-devel-2024.03.20/bin/R CMD check --install=check:SNPRelate.install-out.txt --library=/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library --no-vignettes --timings SNPRelate_1.37.3.tar.gz |
| StartedAt: 2024-03-28 09:48:47 -0000 (Thu, 28 Mar 2024) |
| EndedAt: 2024-03-28 09:53:09 -0000 (Thu, 28 Mar 2024) |
| EllapsedTime: 262.4 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: SNPRelate.Rcheck |
| Warnings: 0 |
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###
### Running command:
###
### /home/biocbuild/R/R-4.4-devel-2024.03.20/bin/R CMD check --install=check:SNPRelate.install-out.txt --library=/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library --no-vignettes --timings SNPRelate_1.37.3.tar.gz
###
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* using log directory ‘/home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck’
* using R Under development (unstable) (2024-03-19 r86153)
* using platform: aarch64-unknown-linux-gnu
* R was compiled by
gcc (GCC) 10.3.1
GNU Fortran (GCC) 10.3.1
* running under: openEuler 22.03 (LTS-SP1)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘SNPRelate/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘SNPRelate’ version ‘1.37.3’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘SNPRelate’ can be installed ... OK
* used C compiler: ‘gcc (GCC) 10.3.1’
* used C++ compiler: ‘g++ (GCC) 10.3.1’
* checking installed package size ... NOTE
installed size is 6.6Mb
sub-directories of 1Mb or more:
libs 4.7Mb
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... NOTE
checkRd: (-1) snpgdsGRM.Rd:52: Lost braces; missing escapes or markup?
52 | $G_{ij} = avg_l [(g_{il} - 2*p_l)*(g_{jl} - 2*p_l) / 2*p_l*(1 - p_l)]$ for
| ^
checkRd: (-1) snpgdsGRM.Rd:52: Lost braces; missing escapes or markup?
52 | $G_{ij} = avg_l [(g_{il} - 2*p_l)*(g_{jl} - 2*p_l) / 2*p_l*(1 - p_l)]$ for
| ^
checkRd: (-1) snpgdsGRM.Rd:52: Lost braces; missing escapes or markup?
52 | $G_{ij} = avg_l [(g_{il} - 2*p_l)*(g_{jl} - 2*p_l) / 2*p_l*(1 - p_l)]$ for
| ^
checkRd: (-1) snpgdsGRM.Rd:56: Lost braces; missing escapes or markup?
56 | $G_{ij} = avg_l [(g_{il} - 2*p_l)*(g_{jl} - 2*p_l) / 2*p_l*(1 - p_l)]$ for
| ^
checkRd: (-1) snpgdsGRM.Rd:56: Lost braces; missing escapes or markup?
56 | $G_{ij} = avg_l [(g_{il} - 2*p_l)*(g_{jl} - 2*p_l) / 2*p_l*(1 - p_l)]$ for
| ^
checkRd: (-1) snpgdsGRM.Rd:56: Lost braces; missing escapes or markup?
56 | $G_{ij} = avg_l [(g_{il} - 2*p_l)*(g_{jl} - 2*p_l) / 2*p_l*(1 - p_l)]$ for
| ^
checkRd: (-1) snpgdsGRM.Rd:62: Lost braces; missing escapes or markup?
62 | $G_{ij} = [sum_l (g_{il} - 2*p_l)*(g_{jl} - 2*p_l)] / [sum_l 2*p_l*(1 - p_l)]$
| ^
checkRd: (-1) snpgdsGRM.Rd:62: Lost braces; missing escapes or markup?
62 | $G_{ij} = [sum_l (g_{il} - 2*p_l)*(g_{jl} - 2*p_l)] / [sum_l 2*p_l*(1 - p_l)]$
| ^
checkRd: (-1) snpgdsGRM.Rd:62: Lost braces; missing escapes or markup?
62 | $G_{ij} = [sum_l (g_{il} - 2*p_l)*(g_{jl} - 2*p_l)] / [sum_l 2*p_l*(1 - p_l)]$
| ^
checkRd: (-1) snpgdsGRM.Rd:66: Lost braces; missing escapes or markup?
66 | beta-based GRM is $grm_{ij} = 2 * (beta_{ij} - beta_{min}) / (1 - beta_{min})$ for $i!=j$,
| ^
checkRd: (-1) snpgdsGRM.Rd:66: Lost braces; missing escapes or markup?
66 | beta-based GRM is $grm_{ij} = 2 * (beta_{ij} - beta_{min}) / (1 - beta_{min})$ for $i!=j$,
| ^
checkRd: (-1) snpgdsGRM.Rd:66: Lost braces; missing escapes or markup?
66 | beta-based GRM is $grm_{ij} = 2 * (beta_{ij} - beta_{min}) / (1 - beta_{min})$ for $i!=j$,
| ^
checkRd: (-1) snpgdsGRM.Rd:66: Lost braces; missing escapes or markup?
66 | beta-based GRM is $grm_{ij} = 2 * (beta_{ij} - beta_{min}) / (1 - beta_{min})$ for $i!=j$,
| ^
checkRd: (-1) snpgdsGRM.Rd:67: Lost braces; missing escapes or markup?
67 | $grm_{ij} = 1 + (beta_{i} - beta_{min}) / (1 - beta_{min})$ for $i=j$. It is relative to
| ^
checkRd: (-1) snpgdsGRM.Rd:67: Lost braces; missing escapes or markup?
67 | $grm_{ij} = 1 + (beta_{i} - beta_{min}) / (1 - beta_{min})$ for $i=j$. It is relative to
| ^
checkRd: (-1) snpgdsGRM.Rd:67: Lost braces; missing escapes or markup?
67 | $grm_{ij} = 1 + (beta_{i} - beta_{min}) / (1 - beta_{min})$ for $i=j$. It is relative to
| ^
checkRd: (-1) snpgdsGRM.Rd:67: Lost braces; missing escapes or markup?
67 | $grm_{ij} = 1 + (beta_{i} - beta_{min}) / (1 - beta_{min})$ for $i=j$. It is relative to
| ^
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking use of PKG_*FLAGS in Makefiles ... OK
* checking compiled code ... NOTE
Note: information on .o files is not available
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
snpgdsMergeGRM 10.639 0.040 10.699
snpgdsGRM 6.968 0.008 6.990
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘runTests.R’
OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: 3 NOTEs
See
‘/home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/00check.log’
for details.
SNPRelate.Rcheck/00install.out
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###
### Running command:
###
### /home/biocbuild/R/R-4.4-devel-2024.03.20/bin/R CMD INSTALL SNPRelate
###
##############################################################################
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* installing to library ‘/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library’
* installing *source* package ‘SNPRelate’ ...
** using staged installation
** libs
using C compiler: ‘gcc (GCC) 10.3.1’
using C++ compiler: ‘g++ (GCC) 10.3.1’
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c ConvToGDS.cpp -o ConvToGDS.o
gcc -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c R_SNPRelate.c -o R_SNPRelate.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c SNPRelate.cpp -o SNPRelate.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c ThreadPool.cpp -o ThreadPool.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c dGenGWAS.cpp -o dGenGWAS.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c dVect.cpp -o dVect.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genBeta.cpp -o genBeta.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genEIGMIX.cpp -o genEIGMIX.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genFst.cpp -o genFst.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genHWE.cpp -o genHWE.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genIBD.cpp -o genIBD.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genIBS.cpp -o genIBS.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genKING.cpp -o genKING.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genLD.cpp -o genLD.o
genLD.cpp:749:8: warning: ‘LD::CThreadPoolLD’ declared with greater visibility than the type of its field ‘LD::CThreadPoolLD::thpool’ [-Wattributes]
749 | class CThreadPoolLD
| ^~~~~~~~~~~~~
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genPCA.cpp -o genPCA.o
g++ -std=gnu++17 -I"/home/biocbuild/R/R-4.4-devel-2024.03.20/include" -DNDEBUG -DUSING_R -DUSE_FC_LEN_T -I. -I'/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/gdsfmt/include' -I/usr/local/include -fPIC -g -O2 -Wall -c genSlideWin.cpp -o genSlideWin.o
g++ -std=gnu++17 -shared -L/home/biocbuild/R/R-4.4-devel-2024.03.20/lib -L/usr/local/lib -o SNPRelate.so ConvToGDS.o R_SNPRelate.o SNPRelate.o ThreadPool.o dGenGWAS.o dVect.o genBeta.o genEIGMIX.o genFst.o genHWE.o genIBD.o genIBS.o genKING.o genLD.o genPCA.o genSlideWin.o -lpthread -lopenblas -lgfortran -lm -L/home/biocbuild/R/R-4.4-devel-2024.03.20/lib -lR
installing to /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/00LOCK-SNPRelate/00new/SNPRelate/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (SNPRelate)
SNPRelate.Rcheck/tests/runTests.Rout
R Under development (unstable) (2024-03-19 r86153) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> BiocGenerics:::testPackage("SNPRelate")
SNPRelate
Genetic Relationship Matrix (GRM, GCTA):
Excluding 8,088 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 1,000
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 282597
CPU capabilities:
Thu Mar 28 09:50:36 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:50:39 2024 Done.
Genetic Relationship Matrix (GRM, GCTA):
Excluding 7,088 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 2,000
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 559412
CPU capabilities:
Thu Mar 28 09:50:39 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 4s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:50:43 2024 Done.
Genetic Relationship Matrix (GRM, GCTA):
Excluding 5,288 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 3,800
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 1066957
CPU capabilities:
Thu Mar 28 09:50:43 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:50:46 2024 Done.
GRM merging:
open 'tmp1.gds' (1,000 variants)
open 'tmp2.gds' (2,000 variants)
open 'tmp3.gds' (3,800 variants)
Weight: 0.147059, 0.294118, 0.558824
Output: tmp.gds
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Genetic Relationship Matrix (GRM, GCTA):
Excluding 2,288 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 6,800
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 1908966
CPU capabilities:
Thu Mar 28 09:50:46 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 4s
Thu Mar 28 09:50:50 2024 Done.
Genetic Relationship Matrix (GRM, IndivBeta):
Excluding 8,088 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 1,000
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 282597
CPU capabilities:
Thu Mar 28 09:50:50 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:50:50 2024 Done.
Genetic Relationship Matrix (GRM, IndivBeta):
Excluding 7,088 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 2,000
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 559412
CPU capabilities:
Thu Mar 28 09:50:51 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:50:51 2024 Done.
Genetic Relationship Matrix (GRM, IndivBeta):
Excluding 5,288 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 3,800
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 1066957
CPU capabilities:
Thu Mar 28 09:50:51 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:50:52 2024 Done.
GRM merging:
open 'tmp1.gds' (1,000 variants)
open 'tmp2.gds' (2,000 variants)
open 'tmp3.gds' (3,800 variants)
Weight: 0.147059, 0.294118, 0.558824
Output: tmp.gds
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Writing ...
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Genetic Relationship Matrix (GRM, IndivBeta):
Excluding 2,288 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 6,800
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 1908966
CPU capabilities:
Thu Mar 28 09:50:52 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Thu Mar 28 09:50:53 2024 Done.
Linkage Disequilibrium (LD) estimation on genotypes:
# of samples: 279
# of SNPs: 1,000
using 1 thread
method: covariance
LD matrix: the sum of all selected genotypes (0,1,2) = 283058
Linkage Disequilibrium (LD) estimation on genotypes:
# of samples: 279
# of SNPs: 1,000
using 1 thread
method: correlation
LD matrix: the sum of all selected genotypes (0,1,2) = 283058
FUNCTION: SNPGDSFileClass
FUNCTION: SNPRelate-package
Start file conversion from PLINK BED to SNP GDS ...
BED file: '/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/plinkhapmap.bed.gz'
SNP-major mode (Sample X SNP), 45.7K
FAM file: '/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/plinkhapmap.fam.gz'
BIM file: '/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/plinkhapmap.bim.gz'
Thu Mar 28 09:51:45 2024 (store sample id, snp id, position, and chromosome)
start writing: 60 samples, 5000 SNPs ...
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Thu Mar 28 09:51:46 2024 Done.
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'HapMap.gds' (98.1K)
# of fragments: 38
save to 'HapMap.gds.tmp'
rename 'HapMap.gds.tmp' (97.8K, reduced: 240B)
# of fragments: 18
Principal Component Analysis (PCA) on genotypes:
Excluding 203 SNPs on non-autosomes
Excluding 28 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 60
# of SNPs: 4,769
using 1 thread
# of principal components: 32
PCA: the sum of all selected genotypes (0,1,2) = 124273
CPU capabilities:
Thu Mar 28 09:51:46 2024 (internal increment: 68676)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:51:46 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:51:46 2024 Done.
IBD analysis (PLINK method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
PLINK IBD: the sum of all selected genotypes (0,1,2) = 2446510
Thu Mar 28 09:51:46 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Thu Mar 28 09:51:47 2024 Done.
Identity-By-State (IBS) analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
IBS: the sum of all selected genotypes (0,1,2) = 2446510
Thu Mar 28 09:51:47 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Thu Mar 28 09:51:48 2024 Done.
Linkage Disequilibrium (LD) estimation on genotypes:
# of samples: 279
# of SNPs: 200
using 1 thread
method: composite
LD matrix: the sum of all selected genotypes (0,1,2) = 55417
FUNCTION: hapmap_geno
FUNCTION: snpgdsAdmixPlot
Eigen-analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Eigen-analysis: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:51:48 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:51:51 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:51:51 2024 Done.
FUNCTION: snpgdsAdmixProp
Eigen-analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Eigen-analysis: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:51:52 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:51:55 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:51:55 2024 Done.
FUNCTION: snpgdsAlleleSwitch
Strand-switching at 50 SNP locus/loci.
Unable to determine switching at 10 SNP locus/loci.
FUNCTION: snpgdsApartSelection
Thu Mar 28 09:51:55 2024 Chromosome 1, # of SNPs: 367
Thu Mar 28 09:51:55 2024 Chromosome 2, # of SNPs: 367
Thu Mar 28 09:51:55 2024 Chromosome 3, # of SNPs: 317
Thu Mar 28 09:51:55 2024 Chromosome 4, # of SNPs: 295
Thu Mar 28 09:51:55 2024 Chromosome 5, # of SNPs: 295
Thu Mar 28 09:51:55 2024 Chromosome 6, # of SNPs: 283
Thu Mar 28 09:51:55 2024 Chromosome 7, # of SNPs: 245
Thu Mar 28 09:51:55 2024 Chromosome 8, # of SNPs: 234
Thu Mar 28 09:51:55 2024 Chromosome 9, # of SNPs: 202
Thu Mar 28 09:51:55 2024 Chromosome 10, # of SNPs: 224
Thu Mar 28 09:51:55 2024 Chromosome 11, # of SNPs: 223
Thu Mar 28 09:51:55 2024 Chromosome 12, # of SNPs: 208
Thu Mar 28 09:51:55 2024 Chromosome 13, # of SNPs: 172
Thu Mar 28 09:51:55 2024 Chromosome 14, # of SNPs: 147
Thu Mar 28 09:51:55 2024 Chromosome 15, # of SNPs: 121
Thu Mar 28 09:51:55 2024 Chromosome 16, # of SNPs: 129
Thu Mar 28 09:51:55 2024 Chromosome 17, # of SNPs: 116
Thu Mar 28 09:51:55 2024 Chromosome 18, # of SNPs: 129
Thu Mar 28 09:51:55 2024 Chromosome 19, # of SNPs: 73
Thu Mar 28 09:51:55 2024 Chromosome 20, # of SNPs: 106
Thu Mar 28 09:51:55 2024 Chromosome 21, # of SNPs: 62
Thu Mar 28 09:51:55 2024 Chromosome 22, # of SNPs: 51
Thu Mar 28 09:51:55 2024 Chromosome 23, # of SNPs: 204
Total # of SNPs selected:4570
FUNCTION: snpgdsBED2GDS
Start file conversion from PLINK BED to SNP GDS ...
BED file: '/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/plinkhapmap.bed.gz'
SNP-major mode (Sample X SNP), 45.7K
FAM file: '/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/plinkhapmap.fam.gz'
BIM file: '/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/plinkhapmap.bim.gz'
Thu Mar 28 09:51:55 2024 (store sample id, snp id, position, and chromosome)
start writing: 60 samples, 5000 SNPs ...
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:51:55 2024 Done.
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'HapMap.gds' (98.1K)
# of fragments: 38
save to 'HapMap.gds.tmp'
rename 'HapMap.gds.tmp' (97.8K, reduced: 240B)
# of fragments: 18
FUNCTION: snpgdsClose
FUNCTION: snpgdsCombineGeno
Create a GDS genotype file:
The new dataset consists of 10 samples and 3000 SNPs
write sample.id
write snp.id
write snp.rs.id
write snp.position
write snp.chromosome
write snp.allele
SNP genotypes are stored in SNP-major mode (Sample X SNP).
Create a GDS genotype file:
The new dataset consists of 20 samples and 3000 SNPs
write sample.id
write snp.id
write snp.rs.id
write snp.position
write snp.chromosome
write snp.allele
SNP genotypes are stored in SNP-major mode (Sample X SNP).
Merge SNP GDS files:
open 't1.gds' ...
10 samples, 3000 SNPs
open 't2.gds' ...
20 samples, 3000 SNPs
Concatenating samples (mapping to the first GDS file) ...
reference: 3000 SNPs (100.0%)
file 2: 0 allele flips, 0 ambiguous locus/loci
[no flip]: 3000
create 'test.gds': 30 samples, 3000 SNPs
FileFormat = SNP_ARRAY
writing genotypes ...
Clean up the fragments of GDS file:
open the file 'test.gds' (46.2K)
# of fragments: 32
save to 'test.gds.tmp'
rename 'test.gds.tmp' (46.0K, reduced: 204B)
# of fragments: 15
Done.
Create a GDS genotype file:
The new dataset consists of 279 samples and 100 SNPs
write sample.id
write snp.id
write snp.rs.id
write snp.position
write snp.chromosome
write snp.allele
SNP genotypes are stored in SNP-major mode (Sample X SNP).
Create a GDS genotype file:
The new dataset consists of 279 samples and 200 SNPs
write sample.id
write snp.id
write snp.rs.id
write snp.position
write snp.chromosome
write snp.allele
SNP genotypes are stored in SNP-major mode (Sample X SNP).
Merge SNP GDS files:
open 't1.gds' ...
279 samples, 100 SNPs
open 't2.gds' ...
279 samples, 200 SNPs
Concatenating SNPs ...
create 'test.gds': 279 samples, 300 SNPs
FileFormat = SNP_ARRAY
writing genotypes ...
Clean up the fragments of GDS file:
open the file 'test.gds' (19.1K)
# of fragments: 32
save to 'test.gds.tmp'
rename 'test.gds.tmp' (18.9K, reduced: 204B)
# of fragments: 15
Done.
FUNCTION: snpgdsCreateGeno
Principal Component Analysis (PCA) on genotypes:
Excluding 42 SNPs on non-autosomes
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 958
using 1 thread
# of principal components: 32
PCA: the sum of all selected genotypes (0,1,2) = 264760
CPU capabilities:
Thu Mar 28 09:51:56 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:51:59 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:51:59 2024 Done.
FUNCTION: snpgdsCreateGenoSet
SNP pruning based on LD:
Excluding 365 SNPs on non-autosomes
Excluding 139 SNPs (monomorphic: TRUE, MAF: 0.005, missing rate: 0.05)
# of samples: 279
# of SNPs: 8,584
using 1 thread
sliding window: 500,000 basepairs, Inf SNPs
|LD| threshold: 0.2
method: composite
|====================|====================|
Chromosome 1: 74.30%, 532/716
|====================|====================|
Chromosome 2: 71.97%, 534/742
|====================|====================|
Chromosome 3: 73.73%, 449/609
|====================|====================|
Chromosome 4: 72.78%, 409/562
|====================|====================|
Chromosome 5: 75.80%, 429/566
|====================|====================|
Chromosome 6: 74.34%, 420/565
|====================|====================|
Chromosome 7: 75.21%, 355/472
|====================|====================|
Chromosome 8: 69.67%, 340/488
|====================|====================|
Chromosome 9: 77.16%, 321/416
|====================|====================|
Chromosome 10: 73.29%, 354/483
|====================|====================|
Chromosome 11: 76.73%, 343/447
|====================|====================|
Chromosome 12: 74.94%, 320/427
|====================|====================|
Chromosome 13: 76.16%, 262/344
|====================|====================|
Chromosome 14: 75.89%, 214/282
|====================|====================|
Chromosome 15: 75.57%, 198/262
|====================|====================|
Chromosome 16: 71.58%, 199/278
|====================|====================|
Chromosome 17: 73.43%, 152/207
|====================|====================|
Chromosome 18: 72.93%, 194/266
|====================|====================|
Chromosome 19: 82.50%, 99/120
|====================|====================|
Chromosome 20: 70.74%, 162/229
|====================|====================|
Chromosome 21: 75.40%, 95/126
|====================|====================|
Chromosome 22: 74.14%, 86/116
6,467 markers are selected in total.
Create a GDS genotype file:
The new dataset consists of 279 samples and 6467 SNPs
write sample.id
write snp.id
write snp.rs.id
write snp.position
write snp.chromosome
write snp.allele
SNP genotypes are stored in SNP-major mode (Sample X SNP).
FUNCTION: snpgdsCutTree
Individual dissimilarity analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Dissimilarity: the sum of all selected genotypes (0,1,2) = 2446510
Dissimilarity: Thu Mar 28 09:51:59 2024 0%
Dissimilarity: Thu Mar 28 09:52:01 2024 100%
Determine groups by permutation (Z threshold: 15, outlier threshold: 5):
Create 3 groups.
Create 4 groups.
FUNCTION: snpgdsDiss
Individual dissimilarity analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Dissimilarity: the sum of all selected genotypes (0,1,2) = 2446510
Dissimilarity: Thu Mar 28 09:52:02 2024 0%
Dissimilarity: Thu Mar 28 09:52:04 2024 100%
Determine groups by permutation (Z threshold: 15, outlier threshold: 5):
Create 3 groups.
FUNCTION: snpgdsDrawTree
Individual dissimilarity analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Dissimilarity: the sum of all selected genotypes (0,1,2) = 2446510
Dissimilarity: Thu Mar 28 09:52:05 2024 0%
Dissimilarity: Thu Mar 28 09:52:07 2024 100%
Determine groups by permutation (Z threshold: 15, outlier threshold: 5):
Create 3 groups.
FUNCTION: snpgdsEIGMIX
Eigen-analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Eigen-analysis: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:08 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:52:11 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:52:11 2024 Done.
FUNCTION: snpgdsErrMsg
FUNCTION: snpgdsExampleFileName
FUNCTION: snpgdsFst
Fst estimation on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
Method: Weir & Cockerham, 1984
# of Populations: 4
CEU (92), HCB (47), JPT (47), YRI (93)
Fst estimation on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
Method: Weir & Hill, 2002
# of Populations: 4
CEU (92), HCB (47), JPT (47), YRI (93)
FUNCTION: snpgdsGDS2BED
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: 0.95)
Converting from GDS to PLINK binary PED:
Working space: 279 samples, 8722 SNPs
Output a BIM file.
Output a BED file ...
Thu Mar 28 09:52:11 2024 0%
Thu Mar 28 09:52:11 2024 100%
Done.
FUNCTION: snpgdsGDS2Eigen
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: 0.95)
Converting from GDS to EIGENSOFT:
save to *.snp: 8722 snps
save to *.ind: 279 samples
Output: Thu Mar 28 09:52:11 2024 0%
Output: Thu Mar 28 09:52:11 2024 100%
Done.
FUNCTION: snpgdsGDS2PED
Converting from GDS to PLINK PED:
Output a MAP file DONE.
Output a PED file ...
Output: Thu Mar 28 09:52:11 2024 0%
Output: Thu Mar 28 09:52:12 2024 100%
FUNCTION: snpgdsGEN2GDS
running snpgdsGEN2GDS ...
FUNCTION: snpgdsGRM
Genetic Relationship Matrix (GRM, GCTA):
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:12 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:52:15 2024 Done.
Genetic Relationship Matrix (GRM, GCTA):
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:15 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 4s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:19 2024 Done.
FUNCTION: snpgdsGetGeno
Genotype matrix: 1000 SNPs X 279 samples
Genotype matrix: 279 samples X 1000 SNPs
FUNCTION: snpgdsHCluster
Individual dissimilarity analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Dissimilarity: the sum of all selected genotypes (0,1,2) = 2446510
Dissimilarity: Thu Mar 28 09:52:19 2024 0%
Dissimilarity: Thu Mar 28 09:52:21 2024 100%
Determine groups by permutation (Z threshold: 15, outlier threshold: 5):
Create 3 groups.
FUNCTION: snpgdsHWE
Keeping 716 SNPs according to chromosome 1
Excluding 160 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
FUNCTION: snpgdsIBDKING
IBD analysis (KING method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1,217 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 92
# of SNPs: 7,506
using 1 thread
No family is specified, and all individuals are treated as singletons.
Relationship inference in the presence of population stratification.
KING IBD: the sum of all selected genotypes (0,1,2) = 702139
CPU capabilities:
Thu Mar 28 09:52:22 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:22 2024 Done.
IBD analysis (KING method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1,217 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 92
# of SNPs: 7,506
using 1 thread
No family is specified, and all individuals are treated as singletons.
Relationship inference in the presence of population stratification.
KING IBD: the sum of all selected genotypes (0,1,2) = 702139
CPU capabilities:
Thu Mar 28 09:52:22 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:22 2024 Done.
IBD analysis (KING method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1,217 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 92
# of SNPs: 7,506
using 1 thread
# of families: 20, and within- and between-family relationship are estimated differently.
Relationship inference in the presence of population stratification.
KING IBD: the sum of all selected genotypes (0,1,2) = 702139
CPU capabilities:
Thu Mar 28 09:52:23 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:23 2024 Done.
IBD analysis (KING method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1,217 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 92
# of SNPs: 7,506
using 1 thread
Relationship inference in a homogeneous population.
KING IBD: the sum of all selected genotypes (0,1,2) = 702139
Thu Mar 28 09:52:23 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Thu Mar 28 09:52:24 2024 Done.
IBD analysis (KING method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1,217 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 92
# of SNPs: 7,506
using 1 thread
Relationship inference in a homogeneous population.
KING IBD: the sum of all selected genotypes (0,1,2) = 702139
Thu Mar 28 09:52:24 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:24 2024 Done.
FUNCTION: snpgdsIBDMLE
SNP pruning based on LD:
Excluding 365 SNPs on non-autosomes
Excluding 1,581 SNPs (monomorphic: TRUE, MAF: 0.05, missing rate: 0.05)
# of samples: 30
# of SNPs: 7,142
using 1 thread
sliding window: 500,000 basepairs, Inf SNPs
|LD| threshold: 0.2
method: composite
|====================|====================|
Chromosome 1: 54.75%, 392/716
|====================|====================|
Chromosome 2: 54.31%, 403/742
|====================|====================|
Chromosome 3: 55.99%, 341/609
|====================|====================|
Chromosome 4: 56.58%, 318/562
|====================|====================|
Chromosome 5: 56.36%, 319/566
|====================|====================|
Chromosome 6: 52.74%, 298/565
|====================|====================|
Chromosome 7: 56.14%, 265/472
|====================|====================|
Chromosome 8: 51.84%, 253/488
|====================|====================|
Chromosome 9: 54.81%, 228/416
|====================|====================|
Chromosome 10: 49.90%, 241/483
|====================|====================|
Chromosome 11: 54.81%, 245/447
|====================|====================|
Chromosome 12: 54.57%, 233/427
|====================|====================|
Chromosome 13: 53.49%, 184/344
|====================|====================|
Chromosome 14: 56.03%, 158/282
|====================|====================|
Chromosome 15: 54.58%, 143/262
|====================|====================|
Chromosome 16: 54.68%, 152/278
|====================|====================|
Chromosome 17: 55.56%, 115/207
|====================|====================|
Chromosome 18: 55.64%, 148/266
|====================|====================|
Chromosome 19: 66.67%, 80/120
|====================|====================|
Chromosome 20: 53.28%, 122/229
|====================|====================|
Chromosome 21: 50.79%, 64/126
|====================|====================|
Chromosome 22: 51.72%, 60/116
4,762 markers are selected in total.
Identity-By-Descent analysis (MLE) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 30
# of SNPs: 250
using 1 thread
MLE IBD: the sum of all selected genotypes (0,1,2) = 7859
MLE IBD: Thu Mar 28 09:52:24 2024 0%
MLE IBD: Thu Mar 28 09:52:25 2024 100%
Identity-By-Descent analysis (MLE) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 250
using 1 thread
Specifying allele frequencies, mean: 0.525, sd: 0.288
MLE IBD: the sum of all selected genotypes (0,1,2) = 6545
MLE IBD: Thu Mar 28 09:52:25 2024 0%
MLE IBD: Thu Mar 28 09:52:25 2024 100%
FUNCTION: snpgdsIBDMLELogLik
SNP pruning based on LD:
Excluding 365 SNPs on non-autosomes
Excluding 1,581 SNPs (monomorphic: TRUE, MAF: 0.05, missing rate: 0.05)
# of samples: 30
# of SNPs: 7,142
using 1 thread
sliding window: 500,000 basepairs, Inf SNPs
|LD| threshold: 0.2
method: composite
|====================|====================|
Chromosome 1: 54.75%, 392/716
|====================|====================|
Chromosome 2: 54.31%, 403/742
|====================|====================|
Chromosome 3: 55.99%, 341/609
|====================|====================|
Chromosome 4: 56.58%, 318/562
|====================|====================|
Chromosome 5: 56.36%, 319/566
|====================|====================|
Chromosome 6: 52.74%, 298/565
|====================|====================|
Chromosome 7: 56.14%, 265/472
|====================|====================|
Chromosome 8: 51.84%, 253/488
|====================|====================|
Chromosome 9: 54.81%, 228/416
|====================|====================|
Chromosome 10: 49.90%, 241/483
|====================|====================|
Chromosome 11: 54.81%, 245/447
|====================|====================|
Chromosome 12: 54.57%, 233/427
|====================|====================|
Chromosome 13: 53.49%, 184/344
|====================|====================|
Chromosome 14: 56.03%, 158/282
|====================|====================|
Chromosome 15: 54.58%, 143/262
|====================|====================|
Chromosome 16: 54.68%, 152/278
|====================|====================|
Chromosome 17: 55.56%, 115/207
|====================|====================|
Chromosome 18: 55.64%, 148/266
|====================|====================|
Chromosome 19: 66.67%, 80/120
|====================|====================|
Chromosome 20: 53.28%, 122/229
|====================|====================|
Chromosome 21: 50.79%, 64/126
|====================|====================|
Chromosome 22: 51.72%, 60/116
4,762 markers are selected in total.
Identity-By-Descent analysis (MLE) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 30
# of SNPs: 250
using 1 thread
MLE IBD: the sum of all selected genotypes (0,1,2) = 7859
MLE IBD: Thu Mar 28 09:52:25 2024 0%
MLE IBD: Thu Mar 28 09:52:25 2024 100%
Identity-By-Descent analysis (MLE) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 250
using 1 thread
Specifying allele frequencies, mean: 0.525, sd: 0.288
MLE IBD: the sum of all selected genotypes (0,1,2) = 6545
MLE IBD: Thu Mar 28 09:52:26 2024 0%
MLE IBD: Thu Mar 28 09:52:26 2024 100%
FUNCTION: snpgdsIBDMoM
IBD analysis (PLINK method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1,217 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 92
# of SNPs: 7,506
using 1 thread
PLINK IBD: the sum of all selected genotypes (0,1,2) = 702139
Thu Mar 28 09:52:26 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:26 2024 Done.
IBD analysis (PLINK method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 563 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 93
# of SNPs: 8,160
using 1 thread
PLINK IBD: the sum of all selected genotypes (0,1,2) = 755648
Thu Mar 28 09:52:26 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:26 2024 Done.
IBD analysis (PLINK method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 563 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 93
# of SNPs: 8,160
using 1 thread
Specifying allele frequencies, mean: 0.500, sd: 0.315
*** A correction factor based on allele count is not used, since the allele frequencies are specified.
PLINK IBD: the sum of all selected genotypes (0,1,2) = 755648
Thu Mar 28 09:52:26 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:26 2024 Done.
IBD analysis (PLINK method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 563 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 8,160
using 1 thread
Specifying allele frequencies, mean: 0.500, sd: 0.315
*** A correction factor based on allele count is not used, since the allele frequencies are specified.
PLINK IBD: the sum of all selected genotypes (0,1,2) = 203285
Thu Mar 28 09:52:26 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:26 2024 Done.
FUNCTION: snpgdsIBDSelection
IBD analysis (PLINK method of moment) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 563 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 93
# of SNPs: 8,160
using 1 thread
PLINK IBD: the sum of all selected genotypes (0,1,2) = 755648
Thu Mar 28 09:52:26 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:26 2024 Done.
FUNCTION: snpgdsIBS
Identity-By-State (IBS) analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
IBS: the sum of all selected genotypes (0,1,2) = 2446510
Thu Mar 28 09:52:26 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Thu Mar 28 09:52:27 2024 Done.
FUNCTION: snpgdsIBSNum
Identity-By-State (IBS) analysis on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
IBS: the sum of all selected genotypes (0,1,2) = 2446510
Thu Mar 28 09:52:27 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:27 2024 Done.
FUNCTION: snpgdsIndInb
Estimating individual inbreeding coefficients:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
FUNCTION: snpgdsIndInbCoef
FUNCTION: snpgdsIndivBeta
Individual Inbreeding and Relatedness (beta estimator):
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
Individual Beta: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:27 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 1s
Thu Mar 28 09:52:28 2024 Done.
FUNCTION: snpgdsLDMat
Linkage Disequilibrium (LD) estimation on genotypes:
# of samples: 279
# of SNPs: 203
using 1 thread
method: composite
LD matrix: the sum of all selected genotypes (0,1,2) = 56582
Linkage Disequilibrium (LD) estimation on genotypes:
# of samples: 279
# of SNPs: 203
using 1 thread
sliding window size: 203
method: composite
LD matrix: the sum of all selected genotypes (0,1,2) = 56582
FUNCTION: snpgdsLDpair
FUNCTION: snpgdsLDpruning
SNP pruning based on LD:
Excluding 365 SNPs on non-autosomes
Excluding 139 SNPs (monomorphic: TRUE, MAF: 0.005, missing rate: 0.05)
# of samples: 279
# of SNPs: 8,584
using 1 thread
sliding window: 500,000 basepairs, Inf SNPs
|LD| threshold: 0.2
method: composite
|====================|====================|
Chromosome 1: 74.30%, 532/716
|====================|====================|
Chromosome 2: 71.97%, 534/742
|====================|====================|
Chromosome 3: 73.73%, 449/609
|====================|====================|
Chromosome 4: 72.78%, 409/562
|====================|====================|
Chromosome 5: 75.80%, 429/566
|====================|====================|
Chromosome 6: 74.34%, 420/565
|====================|====================|
Chromosome 7: 75.21%, 355/472
|====================|====================|
Chromosome 8: 69.67%, 340/488
|====================|====================|
Chromosome 9: 77.16%, 321/416
|====================|====================|
Chromosome 10: 73.29%, 354/483
|====================|====================|
Chromosome 11: 76.73%, 343/447
|====================|====================|
Chromosome 12: 74.94%, 320/427
|====================|====================|
Chromosome 13: 76.16%, 262/344
|====================|====================|
Chromosome 14: 75.89%, 214/282
|====================|====================|
Chromosome 15: 75.57%, 198/262
|====================|====================|
Chromosome 16: 71.58%, 199/278
|====================|====================|
Chromosome 17: 73.43%, 152/207
|====================|====================|
Chromosome 18: 72.93%, 194/266
|====================|====================|
Chromosome 19: 82.50%, 99/120
|====================|====================|
Chromosome 20: 70.74%, 162/229
|====================|====================|
Chromosome 21: 75.40%, 95/126
|====================|====================|
Chromosome 22: 74.14%, 86/116
6,467 markers are selected in total.
List of 22
$ chr1 : int [1:532] 1 2 4 5 7 10 12 14 15 16 ...
$ chr2 : int [1:534] 717 718 719 720 721 723 724 725 726 727 ...
$ chr3 : int [1:449] 1459 1461 1464 1466 1468 1469 1471 1472 1473 1476 ...
$ chr4 : int [1:409] 2068 2069 2070 2071 2072 2074 2075 2076 2077 2078 ...
$ chr5 : int [1:429] 2630 2631 2635 2636 2637 2638 2640 2642 2643 2645 ...
$ chr6 : int [1:420] 3196 3197 3198 3200 3201 3204 3205 3206 3207 3208 ...
$ chr7 : int [1:355] 3761 3762 3763 3766 3767 3768 3770 3771 3772 3773 ...
$ chr8 : int [1:340] 4233 4234 4235 4236 4237 4238 4239 4240 4241 4242 ...
$ chr9 : int [1:321] 4721 4722 4724 4727 4728 4730 4731 4732 4733 4735 ...
$ chr10: int [1:354] 5138 5139 5140 5143 5144 5145 5146 5147 5148 5149 ...
$ chr11: int [1:343] 5620 5623 5624 5625 5626 5628 5629 5630 5631 5632 ...
$ chr12: int [1:320] 6067 6068 6069 6070 6073 6074 6075 6077 6078 6079 ...
$ chr13: int [1:262] 6494 6497 6498 6499 6500 6501 6503 6505 6507 6509 ...
$ chr14: int [1:214] 6840 6841 6842 6843 6844 6845 6846 6847 6848 6850 ...
$ chr15: int [1:198] 7120 7121 7122 7124 7125 7126 7127 7128 7129 7130 ...
$ chr16: int [1:199] 7382 7383 7384 7385 7387 7388 7389 7391 7392 7394 ...
$ chr17: int [1:152] 7660 7661 7662 7663 7664 7665 7666 7667 7668 7669 ...
$ chr18: int [1:194] 7867 7868 7869 7870 7871 7872 7873 7874 7875 7877 ...
$ chr19: int [1:99] 8133 8135 8136 8137 8138 8139 8140 8141 8142 8144 ...
$ chr20: int [1:162] 8253 8254 8257 8258 8259 8260 8261 8262 8265 8266 ...
$ chr21: int [1:95] 8482 8484 8485 8486 8487 8488 8489 8490 8491 8492 ...
$ chr22: int [1:86] 8608 8609 8610 8612 8613 8614 8615 8617 8618 8620 ...
FUNCTION: snpgdsMergeGRM
Genetic Relationship Matrix (GRM, GCTA):
Excluding 2,288 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 6,800
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 1908966
CPU capabilities:
Thu Mar 28 09:52:28 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:52:31 2024 Done.
Genetic Relationship Matrix (GRM, GCTA):
Excluding 5,688 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 3,400
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 951558
CPU capabilities:
Thu Mar 28 09:52:32 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:35 2024 Done.
Genetic Relationship Matrix (GRM, GCTA):
Excluding 5,688 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 3,400
using 1 thread
GRM Calculation: the sum of all selected genotypes (0,1,2) = 957408
CPU capabilities:
Thu Mar 28 09:52:35 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Saving to the GDS file:
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:38 2024 Done.
GRM merging:
open 'tmp1.gds' (3,400 variants)
open 'tmp2.gds' (3,400 variants)
Weight: 0.5, 0.5
Output: tmp.gds
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
GRM merging:
open 'tmp1.gds' (3,400 variants)
open 'tmp2.gds' (3,400 variants)
Weight: 0.5, 0.5
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
FUNCTION: snpgdsOpen
FUNCTION: snpgdsOption
FUNCTION: snpgdsPCA
Principal Component Analysis (PCA) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
# of principal components: 32
PCA: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:39 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:52:42 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:52:42 2024 Done.
FUNCTION: snpgdsPCACorr
Principal Component Analysis (PCA) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
# of principal components: 32
PCA: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:42 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 4s
Thu Mar 28 09:52:46 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:52:46 2024 Done.
SNP Correlation:
# of samples: 279
# of SNPs: 9,088
using 1 thread
Correlation: the sum of all selected genotypes (0,1,2) = 2553065
Thu Mar 28 09:52:46 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:46 2024 Done.
SNP Correlation:
# of samples: 279
# of SNPs: 9,088
using 1 thread
Creating 'test.gds' ...
Correlation: the sum of all selected genotypes (0,1,2) = 2553065
Thu Mar 28 09:52:46 2024
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:46 2024 Done.
FUNCTION: snpgdsPCASNPLoading
Principal Component Analysis (PCA) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
# of principal components: 8
PCA: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:46 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:52:49 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:52:49 2024 Done.
SNP Loading:
# of samples: 279
# of SNPs: 8,722
using 1 thread
using the top 8 eigenvectors
SNP Loading: the sum of all selected genotypes (0,1,2) = 2446510
Thu Mar 28 09:52:49 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:49 2024 Done.
FUNCTION: snpgdsPCASampLoading
Principal Component Analysis (PCA) on genotypes:
Excluding 365 SNPs on non-autosomes
Excluding 1 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 8,722
using 1 thread
# of principal components: 8
PCA: the sum of all selected genotypes (0,1,2) = 2446510
CPU capabilities:
Thu Mar 28 09:52:50 2024 (internal increment: 14768)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 3s
Thu Mar 28 09:52:53 2024 Begin (eigenvalues and eigenvectors)
Thu Mar 28 09:52:53 2024 Done.
SNP Loading:
# of samples: 279
# of SNPs: 8,722
using 1 thread
using the top 8 eigenvectors
SNP Loading: the sum of all selected genotypes (0,1,2) = 2446510
Thu Mar 28 09:52:53 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:53 2024 Done.
Sample Loading:
# of samples: 100
# of SNPs: 8,722
using 1 thread
using the top 8 eigenvectors
Sample Loading: the sum of all selected genotypes (0,1,2) = 878146
Thu Mar 28 09:52:53 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:53 2024 Done.
FUNCTION: snpgdsPED2GDS
Converting from GDS to PLINK PED:
Output a MAP file DONE.
Output a PED file ...
Output: Thu Mar 28 09:52:53 2024 0%
Output: Thu Mar 28 09:52:53 2024 100%
PLINK PED/MAP to GDS Format:
Import 9088 variants from 'tmp.map'
Chromosome:
1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 3 4 5 6 7
716 483 447 427 344 282 262 278 207 266 120 742 229 126 116 609 562 566 565 472
8 9 X
488 416 365
Reading 'tmp.ped'
Output: 'test.gds'
Import 279 samples
Transpose the genotypic matrix ...
Done.
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'test.gds' (1.3M)
# of fragments: 50
save to 'test.gds.tmp'
rename 'test.gds.tmp' (711.4K, reduced: 618.7K)
# of fragments: 26
FUNCTION: snpgdsPairIBD
SNP pruning based on LD:
Excluding 365 SNPs on non-autosomes
Excluding 1,646 SNPs (monomorphic: TRUE, MAF: 0.05, missing rate: 0.05)
# of samples: 93
# of SNPs: 7,077
using 1 thread
sliding window: 500,000 basepairs, Inf SNPs
|LD| threshold: 0.2
method: composite
|====================|====================|
Chromosome 1: 62.29%, 446/716
|====================|====================|
Chromosome 2: 62.67%, 465/742
|====================|====================|
Chromosome 3: 59.93%, 365/609
|====================|====================|
Chromosome 4: 64.23%, 361/562
|====================|====================|
Chromosome 5: 62.37%, 353/566
|====================|====================|
Chromosome 6: 59.82%, 338/565
|====================|====================|
Chromosome 7: 63.14%, 298/472
|====================|====================|
Chromosome 8: 57.58%, 281/488
|====================|====================|
Chromosome 9: 62.98%, 262/416
|====================|====================|
Chromosome 10: 60.46%, 292/483
|====================|====================|
Chromosome 11: 63.09%, 282/447
|====================|====================|
Chromosome 12: 62.76%, 268/427
|====================|====================|
Chromosome 13: 63.08%, 217/344
|====================|====================|
Chromosome 14: 63.83%, 180/282
|====================|====================|
Chromosome 15: 63.74%, 167/262
|====================|====================|
Chromosome 16: 62.23%, 173/278
|====================|====================|
Chromosome 17: 65.70%, 136/207
|====================|====================|
Chromosome 18: 59.40%, 158/266
|====================|====================|
Chromosome 19: 68.33%, 82/120
|====================|====================|
Chromosome 20: 66.38%, 152/229
|====================|====================|
Chromosome 21: 61.11%, 77/126
|====================|====================|
Chromosome 22: 57.76%, 67/116
5,420 markers are selected in total.
Identity-By-Descent analysis (MLE) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 250
using 1 thread
Specifying allele frequencies, mean: 0.486, sd: 0.284
MLE IBD: the sum of all selected genotypes (0,1,2) = 6112
MLE IBD: Thu Mar 28 09:52:54 2024 0%
MLE IBD: Thu Mar 28 09:52:55 2024 100%
IBD analysis (PLINK method of moment) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 250
using 1 thread
Specifying allele frequencies, mean: 0.486, sd: 0.284
*** A correction factor based on allele count is not used, since the allele frequencies are specified.
PLINK IBD: the sum of all selected genotypes (0,1,2) = 6112
Thu Mar 28 09:52:55 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:55 2024 Done.
Identity-By-Descent analysis (MLE) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 250
using 1 thread
Specifying allele frequencies, mean: 0.486, sd: 0.284
MLE IBD: the sum of all selected genotypes (0,1,2) = 6112
MLE IBD: Thu Mar 28 09:52:55 2024 0%
MLE IBD: Thu Mar 28 09:52:56 2024 100%
Genotype matrix: 250 SNPs X 25 samples
[1] -370.7482
[1] -402.2141
[1] -383.7897
[1] -377.9084
[1] -381.3139
[1] -397.5581
[1] -378.3344
[1] -370.703
[1] -376.103
[1] -377.7911
[1] -375.5425
[1] -373.13
[1] -383.6992
[1] -393.5194
[1] -371.9843
[1] -369.6468
[1] -374.5139
[1] -377.841
[1] -387.5622
[1] -377.1646
[1] -377.4659
[1] -375.2204
[1] -372.0639
[1] -379.816
FUNCTION: snpgdsPairIBDMLELogLik
SNP pruning based on LD:
Excluding 365 SNPs on non-autosomes
Excluding 1,646 SNPs (monomorphic: TRUE, MAF: 0.05, missing rate: 0.05)
# of samples: 93
# of SNPs: 7,077
using 1 thread
sliding window: 500,000 basepairs, Inf SNPs
|LD| threshold: 0.2
method: composite
|====================|====================|
Chromosome 1: 62.29%, 446/716
|====================|====================|
Chromosome 2: 62.67%, 465/742
|====================|====================|
Chromosome 3: 59.93%, 365/609
|====================|====================|
Chromosome 4: 64.23%, 361/562
|====================|====================|
Chromosome 5: 62.37%, 353/566
|====================|====================|
Chromosome 6: 59.82%, 338/565
|====================|====================|
Chromosome 7: 63.14%, 298/472
|====================|====================|
Chromosome 8: 57.58%, 281/488
|====================|====================|
Chromosome 9: 62.98%, 262/416
|====================|====================|
Chromosome 10: 60.46%, 292/483
|====================|====================|
Chromosome 11: 63.09%, 282/447
|====================|====================|
Chromosome 12: 62.76%, 268/427
|====================|====================|
Chromosome 13: 63.08%, 217/344
|====================|====================|
Chromosome 14: 63.83%, 180/282
|====================|====================|
Chromosome 15: 63.74%, 167/262
|====================|====================|
Chromosome 16: 62.23%, 173/278
|====================|====================|
Chromosome 17: 65.70%, 136/207
|====================|====================|
Chromosome 18: 59.40%, 158/266
|====================|====================|
Chromosome 19: 68.33%, 82/120
|====================|====================|
Chromosome 20: 66.38%, 152/229
|====================|====================|
Chromosome 21: 61.11%, 77/126
|====================|====================|
Chromosome 22: 57.76%, 67/116
5,420 markers are selected in total.
Identity-By-Descent analysis (MLE) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 250
using 1 thread
Specifying allele frequencies, mean: 0.486, sd: 0.284
MLE IBD: the sum of all selected genotypes (0,1,2) = 6112
MLE IBD: Thu Mar 28 09:52:56 2024 0%
MLE IBD: Thu Mar 28 09:52:56 2024 100%
IBD analysis (PLINK method of moment) on genotypes:
Excluding 8,838 SNPs (non-autosomes or non-selection)
Excluding 0 SNP (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 25
# of SNPs: 250
using 1 thread
Specifying allele frequencies, mean: 0.486, sd: 0.284
*** A correction factor based on allele count is not used, since the allele frequencies are specified.
PLINK IBD: the sum of all selected genotypes (0,1,2) = 6112
Thu Mar 28 09:52:56 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:52:56 2024 Done.
Genotype matrix: 250 SNPs X 25 samples
[1] -370.7482
[1] -402.2141
[1] -383.7897
[1] -377.9084
[1] -381.3139
[1] -397.5581
[1] -378.3344
[1] -370.703
[1] -376.103
[1] -377.7911
[1] -375.5425
[1] -373.13
[1] -383.6992
[1] -393.5194
[1] -371.9843
[1] -369.6468
[1] -374.5139
[1] -377.841
[1] -387.5622
[1] -377.1646
[1] -377.4659
[1] -375.2204
[1] -372.0639
[1] -379.816
FUNCTION: snpgdsPairScore
Excluding 365 SNPs on non-autosomes
Pair Score Calculation:
# of samples: 120
# of SNPs: 8,723
Method: IBS
Genotype Score: the sum of all selected genotypes (0,1,2) = 1050236
List of 3
$ sample.id: chr [1:120] "NA19139" "NA19160" "NA07034" "NA12814" ...
$ snp.id : int [1:8723] 1 2 3 4 5 6 7 8 9 10 ...
$ score :'data.frame': 60 obs. of 5 variables:
..$ Avg : num [1:60] 1.72 1.73 1.71 1.72 1.73 ...
..$ SD : num [1:60] 0.452 0.443 0.457 0.45 0.443 ...
..$ Num : int [1:60] 8684 8627 8669 8637 8682 8634 8654 8678 8680 8679 ...
..$ Sample1: chr [1:60] "NA19139" "NA10847" "NA18515" "NA19129" ...
..$ Sample2: chr [1:60] "NA19138" "NA12146" "NA18516" "NA19128" ...
Pair Score Calculation:
# of samples: 120
# of SNPs: 8,723
Method: IBS
Genotype Score: the sum of all selected genotypes (0,1,2) = 1050236
List of 3
$ sample.id: chr [1:120] "NA19139" "NA19160" "NA07034" "NA12814" ...
$ snp.id : int [1:8723] 1 2 3 4 5 6 7 8 9 10 ...
$ score :'data.frame': 60 obs. of 5 variables:
..$ Avg : num [1:60] 0.999 1 1 1 1 ...
..$ SD : num [1:60] 0.024 0 0.0186 0.0215 0.0215 ...
..$ Num : int [1:60] 8684 8627 8669 8637 8682 8634 8654 8678 8680 8679 ...
..$ Sample1: chr [1:60] "NA19139" "NA10847" "NA18515" "NA19129" ...
..$ Sample2: chr [1:60] "NA19138" "NA12146" "NA18516" "NA19128" ...
Pair Score Calculation:
# of samples: 120
# of SNPs: 8,723
Method: IBS
Genotype Score: the sum of all selected genotypes (0,1,2) = 1050236
List of 3
$ sample.id: chr [1:120] "NA19139" "NA19160" "NA07034" "NA12814" ...
$ snp.id : int [1:8723] 1 2 3 4 5 6 7 8 9 10 ...
$ score : num [1:3, 1:8723] 1.75 0.437 60 1.583 0.497 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:3] "Avg" "SD" "Num"
.. ..$ : NULL
Pair Score Calculation:
# of samples: 120
# of SNPs: 8,723
Method: IBS
Genotype Score: the sum of all selected genotypes (0,1,2) = 1050236
List of 3
$ sample.id: chr [1:120] "NA19139" "NA19160" "NA07034" "NA12814" ...
$ snp.id : int [1:8723] 1 2 3 4 5 6 7 8 9 10 ...
$ score : int [1:60, 1:8723] 1 1 2 2 2 2 2 1 2 2 ...
Pair Score Calculation:
# of samples: 120
# of SNPs: 8,723
Method: IBS
Output: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/tmp.gds
Genotype Score: the sum of all selected genotypes (0,1,2) = 1050236
FUNCTION: snpgdsSNPList
FUNCTION: snpgdsSNPListClass
FUNCTION: snpgdsSNPListIntersect
FUNCTION: snpgdsSNPRateFreq
FUNCTION: snpgdsSampMissRate
FUNCTION: snpgdsSelectSNP
Excluding 365 SNPs on non-autosomes
Excluding 1,221 SNPs (monomorphic: TRUE, MAF: 0.05, missing rate: 0.95)
FUNCTION: snpgdsSlidingWindow
Sliding Window Analysis:
Excluding 8 SNPs (monomorphic: TRUE, MAF: NaN, missing rate: NaN)
# of samples: 279
# of SNPs: 9,080
using 1 thread
window size: 500000, shift: 100000 (basepair)
Chromosome Set: 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23
Thu Mar 28 09:52:57 2024, Chromosome 1 (716 SNPs), 2448 windows
Thu Mar 28 09:52:57 2024, Chromosome 2 (742 SNPs), 2416 windows
Thu Mar 28 09:52:57 2024, Chromosome 3 (609 SNPs), 1985 windows
Thu Mar 28 09:52:57 2024, Chromosome 4 (562 SNPs), 1894 windows
Thu Mar 28 09:52:57 2024, Chromosome 5 (566 SNPs), 1797 windows
Thu Mar 28 09:52:58 2024, Chromosome 6 (565 SNPs), 1694 windows
Thu Mar 28 09:52:58 2024, Chromosome 7 (472 SNPs), 1573 windows
Thu Mar 28 09:52:58 2024, Chromosome 8 (488 SNPs), 1445 windows
Thu Mar 28 09:52:58 2024, Chromosome 9 (416 SNPs), 1393 windows
Thu Mar 28 09:52:58 2024, Chromosome 10 (483 SNPs), 1343 windows
Thu Mar 28 09:52:58 2024, Chromosome 11 (447 SNPs), 1338 windows
Thu Mar 28 09:52:58 2024, Chromosome 12 (427 SNPs), 1316 windows
Thu Mar 28 09:52:58 2024, Chromosome 13 (344 SNPs), 948 windows
Thu Mar 28 09:52:58 2024, Chromosome 14 (281 SNPs), 847 windows
Thu Mar 28 09:52:58 2024, Chromosome 15 (262 SNPs), 774 windows
Thu Mar 28 09:52:58 2024, Chromosome 16 (278 SNPs), 873 windows
Thu Mar 28 09:52:58 2024, Chromosome 17 (207 SNPs), 773 windows
Thu Mar 28 09:52:58 2024, Chromosome 18 (266 SNPs), 753 windows
Thu Mar 28 09:52:58 2024, Chromosome 19 (120 SNPs), 627 windows
Thu Mar 28 09:52:58 2024, Chromosome 20 (229 SNPs), 602 windows
Thu Mar 28 09:52:58 2024, Chromosome 21 (126 SNPs), 311 windows
Thu Mar 28 09:52:58 2024, Chromosome 22 (116 SNPs), 312 windows
Thu Mar 28 09:52:58 2024, Chromosome 23 (358 SNPs), 1507 windows
Thu Mar 28 09:52:58 2024 Done.
FUNCTION: snpgdsSummary
The file name: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/hapmap_geno.gds
The total number of samples: 279
The total number of SNPs: 9088
SNP genotypes are stored in SNP-major mode (Sample X SNP).
FUNCTION: snpgdsTranspose
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test.gds
The total number of samples: 279
The total number of SNPs: 9088
SNP genotypes are stored in SNP-major mode (Sample X SNP).
SNP genotypes: 279 samples, 9088 SNPs
Genotype matrix is being transposed ...
Clean up the fragments of GDS file:
open the file 'test.gds' (1.3M)
# of fragments: 28
save to 'test.gds.tmp'
rename 'test.gds.tmp' (709.6K, reduced: 619.1K)
# of fragments: 26
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test.gds
The total number of samples: 279
The total number of SNPs: 9088
SNP genotypes are stored in individual-major mode (SNP X Sample).
FUNCTION: snpgdsVCF2GDS
##fileformat=VCFv4.1
##fileDate=20090805
##source=myImputationProgramV3.1
##reference=file:///seq/references/1000GenomesPilot-NCBI36.fasta
##contig=<ID=20,length=62435964,assembly=B36,md5=f126cdf8a6e0c7f379d618ff66beb2da,species="Homo sapiens",taxonomy=x>
##phasing=partial
##INFO=<ID=NS,Number=1,Type=Integer,Description="Number of Samples With Data">
##INFO=<ID=DP,Number=1,Type=Integer,Description="Total Depth">
##INFO=<ID=AF,Number=A,Type=Float,Description="Allele Frequency">
##INFO=<ID=AA,Number=1,Type=String,Description="Ancestral Allele">
##INFO=<ID=DB,Number=0,Type=Flag,Description="dbSNP membership, build 129">
##INFO=<ID=H2,Number=0,Type=Flag,Description="HapMap2 membership">
##FILTER=<ID=q10,Description="Quality below 10">
##FILTER=<ID=s50,Description="Less than 50% of samples have data">
##FORMAT=<ID=GT,Number=1,Type=String,Description="Genotype">
##FORMAT=<ID=GQ,Number=1,Type=Integer,Description="Genotype Quality">
##FORMAT=<ID=DP,Number=1,Type=Integer,Description="Read Depth">
##FORMAT=<ID=HQ,Number=2,Type=Integer,Description="Haplotype Quality">
#CHROM POS ID REF ALT QUAL FILTER INFO FORMAT NA00001 NA00002 NA00003
20 14370 rs6054257 G A 29 PASS NS=3;DP=14;AF=0.5;DB;H2 GT:GQ:DP:HQ 0|0:48:1:51,51 1|0:48:8:51,51 1/1:43:5:.,.
20 17330 . T A 3 q10 NS=3;DP=11;AF=0.017 GT:GQ:DP:HQ 0|0:49:3:58,50 0|1:3:5:65,3 0/0:41:3
20 1110696 rs6040355 A G,T 67 PASS NS=2;DP=10;AF=0.333,0.667;AA=T;DB GT:GQ:DP:HQ 1|2:21:6:23,27 2|1:2:0:18,2 2/2:35:4
20 1230237 . T . 47 PASS NS=3;DP=13;AA=T GT:GQ:DP:HQ 0|0:54:7:56,60 0|0:48:4:51,51 0/0:61:2
20 1234567 microsat1 GTC G,GTCT 50 PASS NS=3;DP=9;AA=G GT:GQ:DP 0/1:35:4 0/2:17:2 1/1:40:3
Start file conversion from VCF to SNP GDS ...
Method: extracting biallelic SNPs
Number of samples: 3
Parsing "/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf" ...
import 2 variants.
+ genotype { Bit2 3x2, 2B } *
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'test1.gds' (2.9K)
# of fragments: 46
save to 'test1.gds.tmp'
rename 'test1.gds.tmp' (2.6K, reduced: 312B)
# of fragments: 20
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test1.gds
The total number of samples: 3
The total number of SNPs: 2
SNP genotypes are stored in SNP-major mode (Sample X SNP).
Start file conversion from VCF to SNP GDS ...
Method: extracting biallelic SNPs
Number of samples: 3
Parsing "/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf" ...
import 2 variants.
+ genotype { Bit2 3x2, 2B } *
SNP genotypes: 3 samples, 2 SNPs
Genotype matrix is being transposed ...
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'test2.gds' (3.0K)
# of fragments: 48
save to 'test2.gds.tmp'
rename 'test2.gds.tmp' (2.6K, reduced: 417B)
# of fragments: 20
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test2.gds
The total number of samples: 3
The total number of SNPs: 2
SNP genotypes are stored in individual-major mode (SNP X Sample).
Start file conversion from VCF to SNP GDS ...
Method: dosage (0,1,2) of reference allele for all variant sites
Number of samples: 3
Parsing "/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf" ...
import 5 variants.
+ genotype { Bit2 3x5, 4B } *
SNP genotypes: 3 samples, 5 SNPs
Genotype matrix is being transposed ...
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'test3.gds' (3.1K)
# of fragments: 48
save to 'test3.gds.tmp'
rename 'test3.gds.tmp' (2.7K, reduced: 419B)
# of fragments: 20
Some of 'snp.allele' are not standard (e.g., A/G,T).
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test3.gds
The total number of samples: 3
The total number of SNPs: 5
SNP genotypes are stored in individual-major mode (SNP X Sample).
The number of valid samples: 3
The number of biallelic unique SNPs: 2
Start file conversion from VCF to SNP GDS ...
Method: dosage (0,1,2) of reference allele for all variant sites
Number of samples: 3
Parsing "/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf" ...
import 5 variants.
+ genotype { Bit2 3x5, 4B } *
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'test4.gds' (3.0K)
# of fragments: 46
save to 'test4.gds.tmp'
rename 'test4.gds.tmp' (2.7K, reduced: 312B)
# of fragments: 20
Some of 'snp.allele' are not standard (e.g., A/G,T).
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test4.gds
The total number of samples: 3
The total number of SNPs: 5
SNP genotypes are stored in SNP-major mode (Sample X SNP).
The number of valid samples: 3
The number of biallelic unique SNPs: 2
Start file conversion from VCF to SNP GDS ...
Method: dosage (0,1,2) of reference allele for all variant sites
Number of samples: 3
Parsing "/home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf" ...
import 5 variants.
+ genotype { Bit2 3x5, 4B } *
Optimize the access efficiency ...
Clean up the fragments of GDS file:
open the file 'test5.gds' (3.0K)
# of fragments: 46
save to 'test5.gds.tmp'
rename 'test5.gds.tmp' (2.7K, reduced: 312B)
# of fragments: 20
Some of 'snp.allele' are not standard (e.g., T/A,G).
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test5.gds
The total number of samples: 3
The total number of SNPs: 5
SNP genotypes are stored in SNP-major mode (Sample X SNP).
The number of valid samples: 3
The number of biallelic unique SNPs: 2
FUNCTION: snpgdsVCF2GDS_R
##fileformat=VCFv4.1
##fileDate=20090805
##source=myImputationProgramV3.1
##reference=file:///seq/references/1000GenomesPilot-NCBI36.fasta
##contig=<ID=20,length=62435964,assembly=B36,md5=f126cdf8a6e0c7f379d618ff66beb2da,species="Homo sapiens",taxonomy=x>
##phasing=partial
##INFO=<ID=NS,Number=1,Type=Integer,Description="Number of Samples With Data">
##INFO=<ID=DP,Number=1,Type=Integer,Description="Total Depth">
##INFO=<ID=AF,Number=A,Type=Float,Description="Allele Frequency">
##INFO=<ID=AA,Number=1,Type=String,Description="Ancestral Allele">
##INFO=<ID=DB,Number=0,Type=Flag,Description="dbSNP membership, build 129">
##INFO=<ID=H2,Number=0,Type=Flag,Description="HapMap2 membership">
##FILTER=<ID=q10,Description="Quality below 10">
##FILTER=<ID=s50,Description="Less than 50% of samples have data">
##FORMAT=<ID=GT,Number=1,Type=String,Description="Genotype">
##FORMAT=<ID=GQ,Number=1,Type=Integer,Description="Genotype Quality">
##FORMAT=<ID=DP,Number=1,Type=Integer,Description="Read Depth">
##FORMAT=<ID=HQ,Number=2,Type=Integer,Description="Haplotype Quality">
#CHROM POS ID REF ALT QUAL FILTER INFO FORMAT NA00001 NA00002 NA00003
20 14370 rs6054257 G A 29 PASS NS=3;DP=14;AF=0.5;DB;H2 GT:GQ:DP:HQ 0|0:48:1:51,51 1|0:48:8:51,51 1/1:43:5:.,.
20 17330 . T A 3 q10 NS=3;DP=11;AF=0.017 GT:GQ:DP:HQ 0|0:49:3:58,50 0|1:3:5:65,3 0/0:41:3
20 1110696 rs6040355 A G,T 67 PASS NS=2;DP=10;AF=0.333,0.667;AA=T;DB GT:GQ:DP:HQ 1|2:21:6:23,27 2|1:2:0:18,2 2/2:35:4
20 1230237 . T . 47 PASS NS=3;DP=13;AA=T GT:GQ:DP:HQ 0|0:54:7:56,60 0|0:48:4:51,51 0/0:61:2
20 1234567 microsat1 GTC G,GTCT 50 PASS NS=3;DP=9;AA=G GT:GQ:DP 0/1:35:4 0/2:17:2 1/1:40:3
Start snpgdsVCF2GDS ...
Extracting bi-allelic and polymorhpic SNPs.
Scanning ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
content: 5 rows x 12 columns
Thu Mar 28 09:52:58 2024 store sample id, snp id, position, and chromosome.
start writing: 3 samples, 2 SNPs ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
[1] 1
Thu Mar 28 09:52:58 2024 Done.
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test1.gds
The total number of samples: 3
The total number of SNPs: 2
SNP genotypes are stored in SNP-major mode (Sample X SNP).
Start snpgdsVCF2GDS ...
Extracting bi-allelic and polymorhpic SNPs.
Scanning ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
content: 5 rows x 12 columns
Thu Mar 28 09:52:58 2024 store sample id, snp id, position, and chromosome.
start writing: 3 samples, 2 SNPs ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
[1] 1
Thu Mar 28 09:52:58 2024 Done.
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test2.gds
The total number of samples: 3
The total number of SNPs: 2
SNP genotypes are stored in SNP-major mode (Sample X SNP).
Start snpgdsVCF2GDS ...
Storing dosage of the reference allele for all variant sites, including bi-allelic SNPs, multi-allelic SNPs, indels and structural variants.
Scanning ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
content: 5 rows x 12 columns
Thu Mar 28 09:52:58 2024 store sample id, snp id, position, and chromosome.
start writing: 3 samples, 5 SNPs ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
Thu Mar 28 09:52:58 2024 Done.
Some of 'snp.allele' are not standard (e.g., A/G,T).
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test3.gds
The total number of samples: 3
The total number of SNPs: 5
SNP genotypes are stored in SNP-major mode (Sample X SNP).
The number of valid samples: 3
The number of biallelic unique SNPs: 2
Start snpgdsVCF2GDS ...
Storing dosage of the reference allele for all variant sites, including bi-allelic SNPs, multi-allelic SNPs, indels and structural variants.
Scanning ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
content: 5 rows x 12 columns
Thu Mar 28 09:52:58 2024 store sample id, snp id, position, and chromosome.
start writing: 3 samples, 5 SNPs ...
file: /home/biocbuild/R/R-4.4-devel-2024.03.20/site-library/SNPRelate/extdata/sequence.vcf
Thu Mar 28 09:52:58 2024 Done.
Some of 'snp.allele' are not standard (e.g., A/G,T).
The file name: /home/biocbuild/bbs-3.19-bioc/meat/SNPRelate.Rcheck/tests/test4.gds
The total number of samples: 3
The total number of SNPs: 5
SNP genotypes are stored in SNP-major mode (Sample X SNP).
The number of valid samples: 3
The number of biallelic unique SNPs: 2
SNP Correlation:
# of samples: 90
# of SNPs: 9,088
using 1 thread
Correlation: the sum of all selected genotypes (0,1,2) = 824424
Thu Mar 28 09:53:02 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:02 2024 Done.
SNP Correlation:
# of samples: 90
# of SNPs: 9,088
using 1 thread
Creating 'test.gds' ...
Correlation: the sum of all selected genotypes (0,1,2) = 824424
Thu Mar 28 09:53:02 2024
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:02 2024 Done.
SNP Loading:
# of samples: 90
# of SNPs: 8,695
using 1 thread
using the top 8 eigenvectors
SNP Loading: the sum of all selected genotypes (0,1,2) = 787449
Thu Mar 28 09:53:02 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:02 2024 Done.
Sample Loading:
# of samples: 100
# of SNPs: 8,695
using 1 thread
using the top 8 eigenvectors
Sample Loading: the sum of all selected genotypes (0,1,2) = 875255
Thu Mar 28 09:53:02 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:02 2024 Done.
SNP Correlation:
# of samples: 90
# of SNPs: 9,088
using 2 threads
Correlation: the sum of all selected genotypes (0,1,2) = 824424
Thu Mar 28 09:53:03 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:03 2024 Done.
SNP Correlation:
# of samples: 90
# of SNPs: 9,088
using 2 threads
Creating 'test.gds' ...
Correlation: the sum of all selected genotypes (0,1,2) = 824424
Thu Mar 28 09:53:03 2024
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:03 2024 Done.
SNP Loading:
# of samples: 90
# of SNPs: 8,695
using 1 thread
using the top 8 eigenvectors
SNP Loading: the sum of all selected genotypes (0,1,2) = 787449
Thu Mar 28 09:53:03 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:03 2024 Done.
Sample Loading:
# of samples: 100
# of SNPs: 8,695
using 1 thread
using the top 8 eigenvectors
Sample Loading: the sum of all selected genotypes (0,1,2) = 875255
Thu Mar 28 09:53:03 2024 (internal increment: 65536)
[..................................................] 0%, ETC: ---
[==================================================] 100%, completed, 0s
Thu Mar 28 09:53:03 2024 Done.
RUNIT TEST PROTOCOL -- Thu Mar 28 09:53:03 2024
***********************************************
Number of test functions: 13
Number of errors: 0
Number of failures: 0
1 Test Suite :
SNPRelate RUnit Tests - 13 test functions, 0 errors, 0 failures
Number of test functions: 13
Number of errors: 0
Number of failures: 0
>
> proc.time()
user system elapsed
148.232 0.688 148.082
SNPRelate.Rcheck/SNPRelate-Ex.timings
| name | user | system | elapsed | |
| SNPGDSFileClass-class | 0.011 | 0.000 | 0.010 | |
| SNPRelate-package | 2.470 | 0.039 | 2.516 | |
| snpgdsAdmixPlot | 3.410 | 0.012 | 3.429 | |
| snpgdsAdmixProp | 3.371 | 0.000 | 3.378 | |
| snpgdsAlleleSwitch | 0.076 | 0.000 | 0.076 | |
| snpgdsApartSelection | 0.101 | 0.004 | 0.105 | |
| snpgdsBED2GDS | 0.106 | 0.000 | 0.108 | |
| snpgdsClose | 0.007 | 0.000 | 0.007 | |
| snpgdsCombineGeno | 0.105 | 0.004 | 0.116 | |
| snpgdsCreateGeno | 3.366 | 0.004 | 3.377 | |
| snpgdsCreateGenoSet | 0.123 | 0.004 | 0.126 | |
| snpgdsCutTree | 3.297 | 0.032 | 3.335 | |
| snpgdsDiss | 2.862 | 0.000 | 2.868 | |
| snpgdsDrawTree | 2.644 | 0.012 | 2.662 | |
| snpgdsEIGMIX | 3.351 | 0.011 | 3.369 | |
| snpgdsErrMsg | 0 | 0 | 0 | |
| snpgdsExampleFileName | 0.001 | 0.000 | 0.001 | |
| snpgdsFst | 0.048 | 0.000 | 0.047 | |
| snpgdsGDS2BED | 0.048 | 0.008 | 0.056 | |
| snpgdsGDS2Eigen | 0.152 | 0.008 | 0.160 | |
| snpgdsGDS2PED | 0.369 | 0.020 | 0.390 | |
| snpgdsGEN2GDS | 0 | 0 | 0 | |
| snpgdsGRM | 6.968 | 0.008 | 6.990 | |
| snpgdsGetGeno | 0.103 | 0.000 | 0.104 | |
| snpgdsHCluster | 2.847 | 0.004 | 2.856 | |
| snpgdsHWE | 0.019 | 0.000 | 0.019 | |
| snpgdsIBDKING | 2.255 | 0.016 | 2.275 | |
| snpgdsIBDMLE | 0.732 | 0.016 | 0.754 | |
| snpgdsIBDMLELogLik | 0.731 | 0.008 | 0.740 | |
| snpgdsIBDMoM | 0.384 | 0.020 | 0.404 | |
| snpgdsIBDSelection | 0.137 | 0.004 | 0.141 | |
| snpgdsIBS | 0.602 | 0.008 | 0.611 | |
| snpgdsIBSNum | 0.601 | 0.004 | 0.606 | |
| snpgdsIndInb | 0.037 | 0.000 | 0.037 | |
| snpgdsIndInbCoef | 0.006 | 0.004 | 0.010 | |
| snpgdsIndivBeta | 0.492 | 0.004 | 0.498 | |
| snpgdsLDMat | 0.245 | 0.008 | 0.254 | |
| snpgdsLDpair | 0.004 | 0.000 | 0.004 | |
| snpgdsLDpruning | 0.069 | 0.008 | 0.077 | |
| snpgdsMergeGRM | 10.639 | 0.040 | 10.699 | |
| snpgdsOpen | 0.007 | 0.000 | 0.007 | |
| snpgdsOption | 0.002 | 0.000 | 0.002 | |
| snpgdsPCA | 3.558 | 0.016 | 3.581 | |
| snpgdsPCACorr | 3.612 | 0.004 | 3.624 | |
| snpgdsPCASNPLoading | 3.589 | 0.004 | 3.601 | |
| snpgdsPCASampLoading | 3.525 | 0.008 | 3.540 | |
| snpgdsPED2GDS | 1.371 | 0.036 | 1.419 | |
| snpgdsPairIBD | 1.505 | 0.008 | 1.515 | |
| snpgdsPairIBDMLELogLik | 0.608 | 0.000 | 0.609 | |
| snpgdsPairScore | 0.230 | 0.079 | 0.311 | |
| snpgdsSNPList | 0.012 | 0.000 | 0.012 | |
| snpgdsSNPListIntersect | 0.069 | 0.004 | 0.074 | |
| snpgdsSNPRateFreq | 0.111 | 0.008 | 0.120 | |
| snpgdsSampMissRate | 0.009 | 0.000 | 0.009 | |
| snpgdsSelectSNP | 0.011 | 0.000 | 0.010 | |
| snpgdsSlidingWindow | 1.078 | 0.012 | 1.092 | |
| snpgdsSummary | 0.056 | 0.000 | 0.057 | |
| snpgdsTranspose | 0.163 | 0.004 | 0.168 | |
| snpgdsVCF2GDS | 0.084 | 0.052 | 0.138 | |
| snpgdsVCF2GDS_R | 0.063 | 0.004 | 0.067 | |