Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution

Trans-ethnic meta-analysis of genome-wide association studies (GWAS) across diverse populations can increase power to detect complex trait loci when the underlying causal variants are shared between ancestry groups. However, heterogeneity in allelic effects between GWAS at these loci can occur that...

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Bibliografski detalji
Izdano u:Hum Mol Genet
Glavni autori: Mägi, Reedik, Horikoshi, Momoko, Sofer, Tamar, Mahajan, Anubha, Kitajima, Hidetoshi, Franceschini, Nora, McCarthy, Mark I., Morris, Andrew P.
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2017
Teme:
Association Studies Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5755684/
https://ncbi.nlm.nih.gov/pubmed/28911207
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/hmg/ddx280
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