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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Main Authors: Reedik Mägi, Momoko Horikoshi, Tamar Sofer, Anubha Mahajan, Hidetoshi Kitajima, Nora Franceschini, Mark I. McCarthy, Andrew P. Morris
格式: Revisão
語言:英语
出版: 2017
在線閱讀:https://doi.org/10.1093/hmg/ddx280
https://academic.oup.com/hmg/article-pdf/26/18/3639/24646976/ddx280.pdf
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