Summix: A method for detecting and adjusting for population structure in genetic summary data.

ABSTRACT: Publicly available genetic summary data have high utility in research and the clinic, including prioritizing putative causal variants, polygenic scoring, and leveraging common controls. However, summarizing individual-level data can mask population structure, resulting in confounding, reduced power, and incorrect prioritization of putative causal variants. This limits the utility of publicly available data, especially for understudied or admixed populations where additional research and resources are most needed. Although several methods exist to estimate ancestry in individual-level data, methods to estimate ancestry proportions in summary data are lacking. Here, we present Summix, a method to efficiently deconvolute ancestry and provide ancestry-adjusted allele frequencies (AFs) from sum

SUBMITTER: Arriaga-MacKenzie IS 

PROVIDER: S-EPMC8322937 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature