Jun 27, 2018

Quantification of genetic components of population differentiation in UK Biobank traits reveals signals of polygenic selection

BioRxiv : the Preprint Server for Biology
Xuanyao LiuAlkes L. Price

Abstract

The genetic architecture of most human complex traits is highly polygenic, motivating efforts to detect polygenic selection involving a large number of loci. In contrast to previous work relying on top GWAS loci, we developed a method that uses genome-wide association statistics and linkage disequilibrium patterns to estimate the genome-wide genetic component of population differentiation of a complex trait along a continuous gradient, enabling powerful inference of polygenic selection. We analyzed 43 UK Biobank traits and focused on PC1 and North-South and East-West birth coordinates across 337K unrelated British-ancestry samples, for which our method produced close to unbiased estimates of genetic components of population differentiation and high power to detect polygenic selection in simulations across different trait architectures. For PC1, we identified signals of polygenic selection for height (74.5+-16.7% of 9.3% total correlation with PC1 attributable to genome-wide genetic effects; P = 8.4x10-6) and red hair pigmentation (95.9+-24.7% of total correlation with PC1 attributable to genome-wide genetic effects; P = 1.1x10-4); the bulk of the signal remained when removing genome-wide significant loci, even though red hair p...Continue Reading

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Mentioned in this Paper

Genome-Wide Association Study
Genome
Systolic Blood Pressure Measurement
Dysequilibrium Syndrome
Radioallergosorbent Test
Cell Differentiation Process
ENPP1 gene
Basal Metabolic Rate
Structure
Proprotein Convertase 1

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