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Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants.

Authors :
Fu, Wenqing
O'Connor, Timothy D.
Jun, Goo
Kang, Hyun Min
Abecasis, Goncalo
Leal, Suzanne M.
Gabriel, Stacey
Altshuler, David
Shendure, Jay
Nickerson, Deborah A.
Bamshad, Michael J.
NHLBI Exome Sequencing Project
Akey, Joshua M.
Source :
Nature; 1/10/2013, Vol. 493 Issue 7431, p216-220, 5p, 4 Graphs
Publication Year :
2013

Abstract

Establishing the age of each mutation segregating in contemporary human populations is important to fully understand our evolutionary history and will help to facilitate the development of new approaches for disease-gene discovery. Large-scale surveys of human genetic variation have reported signatures of recent explosive population growth, notable for an excess of rare genetic variants, suggesting that many mutations arose recently. To more quantitatively assess the distribution of mutation ages, we resequenced 15,336 genes in 6,515 individuals of European American and African American ancestry and inferred the age of 1,146,401 autosomal single nucleotide variants (SNVs). We estimate that approximately 73% of all protein-coding SNVs and approximately 86% of SNVs predicted to be deleterious arose in the past 5,000-10,000?years. The average age of deleterious SNVs varied significantly across molecular pathways, and disease genes contained a significantly higher proportion of recently arisen deleterious SNVs than other genes. Furthermore, European Americans had an excess of deleterious variants in essential and Mendelian disease genes compared to African Americans, consistent with weaker purifying selection due to the Out-of-Africa dispersal. Our results better delimit the historical details of human protein-coding variation, show the profound effect of recent human history on the burden of deleterious SNVs segregating in contemporary populations, and provide important practical information that can be used to prioritize variants in disease-gene discovery. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00280836
Volume :
493
Issue :
7431
Database :
Complementary Index
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
84670390
Full Text :
https://doi.org/10.1038/nature11690