Open AccessTrans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution
Author(s) -
Reedik Mägi,
Momoko Horikoshi,
Tamar Sofer,
Anubha Mahajan,
Hidetoshi Kitajima,
Nora Franceschini,
Mark McCarthy,
Andrew P. Morris
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/bwdn-0y71
Subject(s) - genome wide association study , ethnic group , association (psychology) , regression , genetic association , association mapping , resolution (logic) , regression analysis , power (physics) , meta regression , computational biology , biology , meta analysis , evolutionary biology , genetics , econometrics , statistics , medicine , psychology , computer science , mathematics , single nucleotide polymorphism , genotype , artificial intelligence , anthropology , gene , sociology , physics , quantum mechanics , psychotherapist