Colocalization of GWAS and eQTL signals at loci with multiple signals identifies additional candidate genes for body fat distribution

Integration of genome-wide association study (GWAS) signals with expression quantitative trait loci (eQTL) studies enables identification of candidate genes. However, evaluating whether nearby signals may share causal variants, termed colocalization, is affected by the presence of allelic heterogene...

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Bibliografiske detaljer
Udgivet i:Hum Mol Genet
Main Authors: Wu, Ying, Broadaway, K Alaine, Raulerson, Chelsea K, Scott, Laura J, Pan, Calvin, Ko, Arthur, He, Aiqing, Tilford, Charles, Fuchsberger, Christian, Locke, Adam E, Stringham, Heather M, Jackson, Anne U, Narisu, Narisu, Kuusisto, Johanna, Pajukanta, Päivi, Collins, Francis S, Boehnke, Michael, Laakso, Markku, Lusis, Aldons J, Civelek, Mete, Mohlke, Karen L
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2019
Fag:
General Article One
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7202621/
https://ncbi.nlm.nih.gov/pubmed/31691812
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/hmg/ddz263
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