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Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes.

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第一作者： Yang,Wu

第一单位： Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.

作者： Yang,Wu ^[1] ; Ting,Qi ^[2] ; Naomi R,Wray ^[3] ; Peter M,Visscher ^[1] ; Jian,Zeng ^[1] ; Jian,Yang ^[2]

作者单位： Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia. ^[1] School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China.;Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China. ^[2] Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072, Australia.;Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia. ^[3]

关键词 Bayesian analysis complex trait gene discovery genetic regulatory mechanisms genome-wide association study joint analysis molecular phenotype molecular quantitative trait locus multi-omics summary statistics

DOI 10.1016/j.xgen.2023.100344

PMID 37601976

发布时间 2023-08-23

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Cell genomics

2023年3卷8期

100344页

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Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes.

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Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes.

Cell genomics

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Cell genomics

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