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GWAS Study

A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.

Sung YJ, Winkler TW, de las Fuentes L et al.

29455858 PubMed ID
GWAS Study Type
604624 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SY
Sung YJ
WT
Winkler TW
DL
de las Fuentes L
BA
Bentley AR
BM
Brown MR
KA
Kraja AT
SK
Schwander K
NI
Ntalla I
GX
Guo X
FN
Franceschini N
LY
Lu Y
CC
Cheng CY
SX
Sim X
VD
Vojinovic D
MJ
Marten J
MS
Musani SK
LC
Li C
FM
Feitosa MF
KT
Kilpeläinen TO
RM
Richard MA
NR
Noordam R
AS
Aslibekyan S
AH
Aschard H
BT
Bartz TM
DR
Dorajoo R
LY
Liu Y
MA
Manning AK
RT
Rankinen T
SA
Smith AV
TS
Tajuddin SM
TB
Tayo BO
WH
Warren HR
ZW
Zhao W
ZY
Zhou Y
MN
Matoba N
ST
Sofer T
AM
Alver M
AM
Amini M
BM
Boissel M
CJ
Chai JF
CX
Chen X
DJ
Divers J
GI
Gandin I
GC
Gao C
GF
Giulianini F
GA
Goel A
HS
Harris SE
HF
Hartwig FP
HA
Horimoto ARVR
HF
Hsu FC
JA
Jackson AU
KM
Kähönen M
KA
Kasturiratne A
KB
Kühnel B
LK
Leander K
LW
Lee WJ
LK
Lin KH
'L
'an Luan J
MC
McKenzie CA
MH
Meian H
NC
Nelson CP
RR
Rauramaa R
SN
Schupf N
SR
Scott RA
SW
Sheu WHH
SA
Stančáková A
TF
Takeuchi F
VD
van der Most PJ
VT
Varga TV
WH
Wang H
WY
Wang Y
WE
Ware EB
WS
Weiss S
WW
Wen W
YL
Yanek LR
ZW
Zhang W
ZJ
Zhao JH
AS
Afaq S
AT
Alfred T
AN
Amin N
AD
Arking D
AT
Aung T
BR
Barr RG
BL
Bielak LF
BE
Boerwinkle E
BE
Bottinger EP
BP
Braund PS
BJ
Brody JA
BU
Broeckel U
CC
Cabrera CP
CB
Cade B
CY
Caizheng Y
CA
Campbell A
CM
Canouil M
CA
Chakravarti A
CG
Chauhan G
CK
Christensen K
CM
Cocca M
CF
Collins FS
CJ
Connell JM
DM
de Mutsert R
DS
de Silva HJ
DS
Debette S
DM
Dörr M
DQ
Duan Q
EC
Eaton CB
EG
Ehret G
EE
Evangelou E
FJ
Faul JD
FV
Fisher VA
FN
Forouhi NG
FO
Franco OH
FY
Friedlander Y
GH
Gao H
GB
Gigante B
GM
Graff M
GC
Gu CC
GD
Gu D
GP
Gupta P
HS
Hagenaars SP
HT
Harris TB
HJ
He J
HS
Heikkinen S
HC
Heng CK
HM
Hirata M
HA
Hofman A
HB
Howard BV
HS
Hunt S
IM
Irvin MR
JY
Jia Y
JR
Joehanes R
JA
Justice AE
KT
Katsuya T
KJ
Kaufman J
KN
Kerrison ND
KC
Khor CC
KW
Koh WP
KH
Koistinen HA
KP
Komulainen P
KC
Kooperberg C
KJ
Krieger JE
KM
Kubo M
KJ
Kuusisto J
LC
Langefeld CD
LC
Langenberg C
LL
Launer LJ
LB
Lehne B
LC
Lewis CE
LY
Li Y
LS
Lim SH
LS
Lin S
LC
Liu CT
LJ
Liu J
LJ
Liu J
LK
Liu K
LY
Liu Y
LM
Loh M
LK
Lohman KK
LJ
Long J
LT
Louie T
MR
Mägi R
MA
Mahajan A
MT
Meitinger T
MA
Metspalu A
ML
Milani L
MY
Momozawa Y
MA
Morris AP
MT
Mosley TH
MP
Munson P
MA
Murray AD
NM
Nalls MA
NU
Nasri U
NJ
Norris JM
NK
North K
OA
Ogunniyi A
PS
Padmanabhan S
PW
Palmas WR
PN
Palmer ND
PJ
Pankow JS
PN
Pedersen NL
PA
Peters A
PP
Peyser PA
PO
Polasek O
RO
Raitakari OT
RF
Renström F
RT
Rice TK
RP
Ridker PM
RA
Robino A
RJ
Robinson JG
RL
Rose LM
RI
Rudan I
SC
Sabanayagam C
SB
Salako BL
SK
Sandow K
SC
Schmidt CO
SP
Schreiner PJ
SW
Scott WR
SS
Seshadri S
SP
Sever P
SC
Sitlani CM
SJ
Smith JA
SH
Snieder H
SJ
Starr JM
SK
Strauch K
TH
Tang H
TK
Taylor KD
TY
Teo YY
TY
Tham YC
UA
Uitterlinden AG
WM
Waldenberger M
WL
Wang L
WY
Wang YX
WW
Wei WB
WC
Williams C
WG
Wilson G
WM
Wojczynski MK
YJ
Yao J
YJ
Yuan JM
ZA
Zonderman AB
BD
Becker DM
BM
Boehnke M
BD
Bowden DW
CJ
Chambers JC
CY
Chen YI
DF
de Faire U
DI
Deary IJ
ET
Esko T
FM
Farrall M
FT
Forrester T
FP
Franks PW
FB
Freedman BI
FP
Froguel P
GP
Gasparini P
GC
Gieger C
HB
Horta BL
HY
Hung YJ
JJ
Jonas JB
KN
Kato N
KJ
Kooner JS
LM
Laakso M
LT
Lehtimäki T
LK
Liang KW
MP
Magnusson PKE
NA
Newman AB
OA
Oldehinkel AJ
PA
Pereira AC
RS
Redline S
RR
Rettig R
SN
Samani NJ
SJ
Scott J
SX
Shu XO
VD
van der Harst P
WL
Wagenknecht LE
WN
Wareham NJ
WH
Watkins H
WD
Weir DR
WA
Wickremasinghe AR
WT
Wu T
ZW
Zheng W
KY
Kamatani Y
LC
Laurie CC
BC
Bouchard C
CR
Cooper RS
EM
Evans MK
GV
Gudnason V
KS
Kardia SLR
KS
Kritchevsky SB
LD
Levy D
OJ
O'Connell JR
PB
Psaty BM
VD
van Dam RM
SM
Sims M
AD
Arnett DK
MD
Mook-Kanamori DO
KT
Kelly TN
FE
Fox ER
HC
Hayward C
FM
Fornage M
RC
Rotimi CN
PM
Province MA
VD
van Duijn CM
TE
Tai ES
WT
Wong TY
LR
Loos RJF
RA
Reiner AP
RJ
Rotter JI
ZX
Zhu X
BL
Bierut LJ
GW
Gauderman WJ
CM
Caulfield MJ
EP
Elliott P
RK
Rice K
MP
Munroe PB
MA
Morrison AC
CL
Cupples LA
RD
Rao DC
CD
Chasman DI
Chapter II

Abstract

Summary of the research findings

Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10-8) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10-8). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

14,607 European ancestry current smokers, 65,935 European ancestry former and never smokers, 5,545 African ancestry current smokers, 21,571 African ancestry former and never smokers, 2,465 Asian ancestry current smokers, 10,973 Asian ancestry former and never smokers, 1,068 Hispanic current smokers, 7,737 Hispanic former and never smokers

Chapter III

Study Statistics

Key metrics and study information

604624
Total Participants
GWAS
Study Type
Yes
Replicated
48,198 European ancestry current smokers, 251,872 European ancestry former and never smokers, 1,971 African ancestry current smokers, 5,814 African ancestry former and never smokers, 29,485 Asian ancestry current smokers, 119,447 Asian ancestry former and never smokers, 3,737 Hispanic current smokers, 14,199 Hispanic former and never smokers
Replication Participants
African unspecified, Asian unspecified, East Asian, European, Sub-Saharan African, South Asian, Hispanic or Latin American
Ancestry
U.S., Jamaica, Singapore, France, Germany, Netherlands, Denmark, Estonia, Finland, Norway, Sweden, U.K., Greece, Italy, Spain, Nigeria, China, Taiwan, Sri Lanka, Brazil, Iceland, Croatia
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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