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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Hum Mol Genet
मुख्य लेखकों: 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
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Oxford University Press 2019
विषय:
General Article One
ऑनलाइन पहुंच: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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