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

Reedik Mägi | Zendy; Momoko Horikoshi | Zendy; Tamar Sofer | Zendy; Anubha Mahajan | Zendy; Hidetoshi Kitajima | Zendy; Nora Franceschini | Zendy; Mark I. McCarthy | Zendy; Andrew P. Morris | Zendy

Open Access

Trans-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 I. 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

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