Evolution and functional impact of rare coding variation from deep sequencing of human exomes.

Abstract

As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111× in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86% with a minor allele frequency less than 0.5%), previously unknown (82%), and population-specific (82%). On average, 2.3% of the 13,595 SNVs each person carried were predicted to affect protein function of ~313 genes per genome, and ~95.7% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined effects of explosive, recent accelerated population growth and weak purifying selection. Furthermore, we show that large sample sizes will be required to associate rare variants with complex traits.

DOI: 10.1126/science.1219240
05002011201220132014201520162017
Citations per Year

3,506 Citations

Semantic Scholar estimates that this publication has 3,506 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Tennessen2012EvolutionAF, title={Evolution and functional impact of rare coding variation from deep sequencing of human exomes.}, author={Jacob A Tennessen and Abigail W Bigham and Timothy D O'Connor and Wenqing Fu and Eimear E Kenny and Simon Gravel and Sean McGee and Ron Do and Xiaoming Liu and Goo Jun and Hyun Min Kang and Daniel Jordan and Suzanne M Leal and Stacey Gabriel and Mark J Rieder and Goncalo Abecasis and David Altshuler and Deborah A Nickerson and Eric Boerwinkle and Shamil Sunyaev and Carlos D Bustamante and Michael J Bamshad and Joshua M Akey}, journal={Science}, year={2012}, volume={337 6090}, pages={64-9} }