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GWAS Study

Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations.

Ganesh SK, Chasman DI, Larson MG et al.

24975945 PubMed ID
GWAS Study Type
86591 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GS
Ganesh SK
CD
Chasman DI
LM
Larson MG
GX
Guo X
VG
Verwoert G
BJ
Bis JC
GX
Gu X
SA
Smith AV
YM
Yang ML
ZY
Zhang Y
EG
Ehret G
RL
Rose LM
HS
Hwang SJ
PG
Papanicolau GJ
SE
Sijbrands EJ
RK
Rice K
EG
Eiriksdottir G
PV
Pihur V
RP
Ridker PM
VR
Vasan RS
NC
Newton-Cheh C
RL
Raffel LJ
AN
Amin N
RJ
Rotter JI
LK
Liu K
LL
Launer LJ
XM
Xu M
CM
Caulfield M
MA
Morrison AC
JA
Johnson AD
VD
Vaidya D
DA
Dehghan A
LG
Li G
BC
Bouchard C
HT
Harris TB
ZH
Zhang H
BE
Boerwinkle E
SD
Siscovick DS
GW
Gao W
UA
Uitterlinden AG
RF
Rivadeneira F
HA
Hofman A
WC
Willer CJ
FO
Franco OH
HY
Huo Y
WJ
Witteman JC
MP
Munroe PB
GV
Gudnason V
PW
Palmas W
VD
van Duijn C
FM
Fornage M
LD
Levy D
PB
Psaty BM
CA
Chakravarti A
Chapter II

Abstract

Summary of the research findings

Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.

46,553 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

86591
Total Participants
GWAS
Study Type
Yes
Replicated
34,433 European ancestry individuals, 5,605 Han Chinese ancestry individuals
Replication Participants
European, East Asian
Ancestry
China, U.S., Iceland
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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