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Identifying recent adaptations in large-scale genomic data.

Authors :
Grossman SR
Andersen KG
Shlyakhter I
Tabrizi S
Winnicki S
Yen A
Park DJ
Griesemer D
Karlsson EK
Wong SH
Cabili M
Adegbola RA
Bamezai RN
Hill AV
Vannberg FO
Rinn JL
Lander ES
Schaffner SF
Sabeti PC
Source :
Cell [Cell] 2013 Feb 14; Vol. 152 (4), pp. 703-13.
Publication Year :
2013

Abstract

Although several hundred regions of the human genome harbor signals of positive natural selection, few of the relevant adaptive traits and variants have been elucidated. Using full-genome sequence variation from the 1000 Genomes (1000G) Project and the composite of multiple signals (CMS) test, we investigated 412 candidate signals and leveraged functional annotation, protein structure modeling, epigenetics, and association studies to identify and extensively annotate candidate causal variants. The resulting catalog provides a tractable list for experimental follow-up; it includes 35 high-scoring nonsynonymous variants, 59 variants associated with expression levels of a nearby coding gene or lincRNA, and numerous variants associated with susceptibility to infectious disease and other phenotypes. We experimentally characterized one candidate nonsynonymous variant in Toll-like receptor 5 (TLR5) and show that it leads to altered NF-κB signaling in response to bacterial flagellin. PAPERFLICK:<br /> (Copyright © 2013 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1097-4172
Volume :
152
Issue :
4
Database :
MEDLINE
Journal :
Cell
Publication Type :
Academic Journal
Accession number :
23415221
Full Text :
https://doi.org/10.1016/j.cell.2013.01.035