Cross-ancestry and sex-stratified genome-wide association analyses of brain white matter principal components

We made use of publicly available software, tools and algorithms. Codes used to generate results reported in paper Cross-ancestry and sex-stratified genome-wide association analyses of brain white matter principal components were listed in Shen_Protocols ANNOVAR, https://annovar.openbioinformatics.org/en/latest/;BBR algorithm in FSL v5.0.10, https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FIRST;BGENIE v1.3, https://jmarchini.org/bgenie/;Coloc v5.1.0, https://chr1swallace.github.io/coloc/;Combat harmonization v1.0.1, https://github.com/Jfortin1/ComBatHarmonization;DARTEL algorithm in SPM12 r7771; https://www.fil.ion.ucl.ac.uk/spm/software/spm12/;FLAMES v1.1.2, https://github.com/Marijn-Schipper/FLAMES;FSL v5.0.10, http://www.fmrib.ox.ac.uk/fsl;FUMA, https://fuma.ctglab.nl;GCTA v1.92.1, https://yanglab.westlake.edu.cn/software/gcta;IMPUTE2 v2.3.2, http://mathgen.stats.ox.ac.uk/impute/impute_v2.html;LDSC v1.0.0, https://github.com/bulik/ldsc;LiftOver (Jan.2022 release), https://genome.ucsc.edu/cgi-bin/hgLiftOver;MAGMA v1.10, https://cncr.nl/research/magma/;METASOFT v2.0.0, http://genetics.cs.ucla.edu/meta/;MRPRESSO, https://github.com/rondolab/MR-PRESSO;PAINTOR v3.0, https://github.com/gkichaev/PAINTOR_V3.0;PANTHER 18.0, http://pantherdb.org;PLINK v2.00a, http://zzz.bwh.harvard.edu/plink/;PoPS v0.2, https://github.com/FinucaneLab/pops;Python v3.11.4, https://www.python.org;qctool v2, https://www.well.ox.ac.uk/~gav/qctool_v2/;R v4.3.1, https://www.r-project.org;SPM12 r7771, https://www.fil.ion.ucl.ac.uk/spm/software/spm12/;SMR v1.3.1, https://yanglab.westlake.edu.cn/software/smr/;TwoSampleMR v0.6.20, https://mrcieu.github.io/TwoSampleMR/index.html;ukbtools v0.11.3, https://kenhanscombe.github.io/ukbtools/.