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The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.

Authors :
Astle WJ
Elding H
Jiang T
Allen D
Ruklisa D
Mann AL
Mead D
Bouman H
Riveros-Mckay F
Kostadima MA
Lambourne JJ
Sivapalaratnam S
Downes K
Kundu K
Bomba L
Berentsen K
Bradley JR
Daugherty LC
Delaneau O
Freson K
Garner SF
Grassi L
Guerrero J
Haimel M
Janssen-Megens EM
Kaan A
Kamat M
Kim B
Mandoli A
Marchini J
Martens JHA
Meacham S
Megy K
O'Connell J
Petersen R
Sharifi N
Sheard SM
Staley JR
Tuna S
van der Ent M
Walter K
Wang SY
Wheeler E
Wilder SP
Iotchkova V
Moore C
Sambrook J
Stunnenberg HG
Di Angelantonio E
Kaptoge S
Kuijpers TW
Carrillo-de-Santa-Pau E
Juan D
Rico D
Valencia A
Chen L
Ge B
Vasquez L
Kwan T
Garrido-Martín D
Watt S
Yang Y
Guigo R
Beck S
Paul DS
Pastinen T
Bujold D
Bourque G
Frontini M
Danesh J
Roberts DJ
Ouwehand WH
Butterworth AS
Soranzo N
Source :
Cell [Cell] 2016 Nov 17; Vol. 167 (5), pp. 1415-1429.e19.
Publication Year :
2016

Abstract

Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we provide evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations between blood cell indices and cardiovascular disease may be non-causal.<br /> (Copyright © 2016 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1097-4172
Volume :
167
Issue :
5
Database :
MEDLINE
Journal :
Cell
Publication Type :
Academic Journal
Accession number :
27863252
Full Text :
https://doi.org/10.1016/j.cell.2016.10.042