Enrichment of low-frequency functional variants revealed by whole-genome sequencing of multiple isolated European populations
Xue YPapers in this archive, Mezzavilla MPapers in this archive, Haber MPapers in this archive, McCarthy SPapers in this archive, Chen YPapers in this archive, Narasimhan VPapers in this archive, Gilly APapers in this archive, Ayub QPapers in this archive, Colonna VPapers in this archive, Southam LPapers in this archive, Finan CPapers in this archive, Massaia APapers in this archive, Chheda HPapers in this archive, Palta PPapers in this archive, Ritchie GPapers in this archive, Asimit JPapers in this archive, Dedoussis GPapers in this archive, Gasparini PPapers in this archive, Palotie APapers in this archive, Ripatti SPapers in this archive, Soranzo NPapers in this archive, Toniolo DPapers in this archive, Wilson JFPapers in this archive, Durbin RPapers in this archive, Tyler-Smith CPapers in this archive, Zeggini EPapers in this archive
Abstract
The genetic features of isolated populations can boost power in complex-trait association studies, and an in-depth understanding of how their genetic variation has been shaped by their demographic history can help leverage these advantageous characteristics. Here, we perform a comprehensive investigation using 3,059 newly generated low-depth whole-genome sequences from eight European isolates and two matched general populations, together with published data from the 1000 Genomes Project and UK10K. Sequencing data give deeper and richer insights into population demography and genetic characteristics than genotype-chip data, distinguishing related populations more effectively and allowing their functional variants to be studied more fully. We demonstrate relaxation of purifying selection in the isolates, leading to enrichment of rare and low-frequency functional variants, using novel statistics, DVxy and SVxy. We also develop an isolation-index (Isx) that predicts the overall level of such key genetic characteristics and can thus help guide population choice in future complex-trait association studies.
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