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GWAS Study

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

Astle WJ, Elding H, Jiang T et al.

27863252 PubMed ID
GWAS Study Type
169219 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AW
Astle WJ
EH
Elding H
JT
Jiang T
AD
Allen D
RD
Ruklisa D
MA
Mann AL
MD
Mead D
BH
Bouman H
RF
Riveros-Mckay F
KM
Kostadima MA
LJ
Lambourne JJ
SS
Sivapalaratnam S
DK
Downes K
KK
Kundu K
BL
Bomba L
BK
Berentsen K
BJ
Bradley JR
DL
Daugherty LC
DO
Delaneau O
FK
Freson K
GS
Garner SF
GL
Grassi L
GJ
Guerrero J
HM
Haimel M
JE
Janssen-Megens EM
KA
Kaan A
KM
Kamat M
KB
Kim B
MA
Mandoli A
MJ
Marchini J
MJ
Martens JHA
MS
Meacham S
MK
Megy K
OJ
O'Connell J
PR
Petersen R
SN
Sharifi N
SS
Sheard SM
SJ
Staley JR
TS
Tuna S
VD
van der Ent M
WK
Walter K
WS
Wang SY
WE
Wheeler E
WS
Wilder SP
IV
Iotchkova V
MC
Moore C
SJ
Sambrook J
SH
Stunnenberg HG
DA
Di Angelantonio E
KS
Kaptoge S
KT
Kuijpers TW
CE
Carrillo-de-Santa-Pau E
JD
Juan D
RD
Rico D
VA
Valencia A
CL
Chen L
GB
Ge B
VL
Vasquez L
KT
Kwan T
GD
Garrido-Martín D
WS
Watt S
YY
Yang Y
GR
Guigo R
BS
Beck S
PD
Paul DS
PT
Pastinen T
BD
Bujold D
BG
Bourque G
FM
Frontini M
DJ
Danesh J
RD
Roberts DJ
OW
Ouwehand WH
BA
Butterworth AS
SN
Soranzo N
Chapter II

Abstract

Summary of the research findings

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.

169,219 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

169219
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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