期刊
BRIEFINGS IN BIOINFORMATICS
卷 20, 期 2, 页码 690-700出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bby035
关键词
genome-wide association; post-GWAS; subnetwork; pathways; biological network; protein-protein interaction
资金
- National Institutes of Health Common Fund [1U54HG009790-01, U01HG009716, U24HG006941, 1u01hg007459-01]
- Wellcome Trust/AESA [H3A/18/001]
Over thousands of genetic associations to diseases have been identified by genome-wide association studies (GWASs), which conceptually is a single-marker-based approach. There are potentially many uses of these identified variants, including a better understanding of the pathogenesis of diseases, new leads for studying underlying risk prediction and clinical prediction of treatment. However, because of inadequate power, GWAS might miss disease genes and/or pathways with weak genetic or strong epistatic effects. Driven by the need to extract useful information from GWAS summary statistics, post-GWAS approaches (PGAs) were introduced. Here, we dissect and discuss advances made in pathway/network-based PGAs, with a particular focus on protein-protein interaction networks that leverage GWAS summary statistics by combining effects of multiple loci, subnetworks or pathways to detect genetic signals associated with complex diseases. We conclude with a discussion of research areas where further work on summary statistic-based methods is needed.
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