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GWAS Study

Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.

de Vries PS, Brown MR, Bentley AR et al.

30698716 PubMed ID
GWAS Study Type
394584 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

DV
de Vries PS
BM
Brown MR
BA
Bentley AR
SY
Sung YJ
WT
Winkler TW
NI
Ntalla I
SK
Schwander K
KA
Kraja AT
GX
Guo X
FN
Franceschini N
CC
Cheng CY
SX
Sim X
VD
Vojinovic D
HJ
Huffman JE
MS
Musani SK
LC
Li C
FM
Feitosa MF
RM
Richard MA
NR
Noordam R
AH
Aschard H
BT
Bartz TM
BL
Bielak LF
DX
Deng X
DR
Dorajoo R
LK
Lohman KK
MA
Manning AK
RT
Rankinen T
SA
Smith AV
TS
Tajuddin SM
EE
Evangelou E
GM
Graff M
AM
Alver M
BM
Boissel M
CJ
Chai JF
CX
Chen X
DJ
Divers J
GI
Gandin I
GC
Gao C
GA
Goel A
HY
Hagemeijer Y
HS
Harris SE
HF
Hartwig FP
HM
He M
HA
Horimoto ARVR
HF
Hsu FC
JA
Jackson AU
KA
Kasturiratne A
KP
Komulainen P
KB
Kühnel B
LF
Laguzzi F
LJ
Lee JH
LJ
Luan J
LL
Lyytikäinen LP
MN
Matoba N
NI
Nolte IM
PM
Pietzner M
RM
Riaz M
SM
Said MA
SR
Scott RA
ST
Sofer T
SA
Stančáková A
TF
Takeuchi F
TB
Tayo BO
VD
van der Most PJ
VT
Varga TV
WY
Wang Y
WE
Ware EB
WW
Wen W
YL
Yanek LR
ZW
Zhang W
ZJ
Zhao JH
AS
Afaq S
AN
Amin N
AM
Amini M
AD
Arking DE
AT
Aung T
BC
Ballantyne C
BE
Boerwinkle E
BU
Broeckel U
CA
Campbell A
CM
Canouil M
CS
Charumathi S
CY
Chen YI
CJ
Connell JM
DF
de Faire U
DL
de las Fuentes L
DM
de Mutsert R
DS
de Silva HJ
DJ
Ding J
DA
Dominiczak AF
DQ
Duan Q
EC
Eaton CB
ER
Eppinga RN
FJ
Faul JD
FV
Fisher V
FT
Forrester T
FO
Franco OH
FY
Friedlander Y
GM
Ghanbari M
GF
Giulianini F
GH
Grabe HJ
GM
Grove ML
GC
Gu CC
HT
Harris TB
HS
Heikkinen S
HC
Heng CK
HM
Hirata M
HJ
Hixson JE
HB
Howard BV
IM
Ikram MA
JD
Jacobs DR
JC
Johnson C
JJ
Jonas JB
KC
Kammerer CM
KT
Katsuya T
KC
Khor CC
KT
Kilpeläinen TO
KW
Koh WP
KH
Koistinen HA
KI
Kolcic I
KC
Kooperberg C
KJ
Krieger JE
KS
Kritchevsky SB
KM
Kubo M
KJ
Kuusisto J
LT
Lakka TA
LC
Langefeld CD
LC
Langenberg C
LL
Launer LJ
LB
Lehne B
LR
Lemaitre RN
LY
Li Y
LJ
Liang J
LJ
Liu J
LK
Liu K
LM
Loh M
LT
Louie T
MR
Mägi R
MA
Manichaikul AW
MC
McKenzie CA
MT
Meitinger T
MA
Metspalu A
MY
Milaneschi Y
ML
Milani L
MK
Mohlke KL
MT
Mosley TH
MK
Mukamal KJ
NM
Nalls MA
NM
Nauck M
NC
Nelson CP
SN
Sotoodehnia N
OJ
O'Connell JR
PN
Palmer ND
PR
Pazoki R
PN
Pedersen NL
PA
Peters A
PP
Peyser PA
PO
Polasek O
PN
Poulter N
RL
Raffel LJ
RO
Raitakari OT
RA
Reiner AP
RT
Rice TK
RS
Rich SS
RA
Robino A
RJ
Robinson JG
RL
Rose LM
RI
Rudan I
SC
Schmidt CO
SP
Schreiner PJ
SW
Scott WR
SP
Sever P
SY
Shi Y
SS
Sidney S
SM
Sims M
SB
Smith BH
SJ
Smith JA
SH
Snieder H
SJ
Starr JM
SK
Strauch K
TN
Tan N
TK
Taylor KD
TY
Teo YY
TY
Tham YC
UA
Uitterlinden AG
VH
van Heemst D
VD
Vuckovic D
WM
Waldenberger M
WL
Wang L
WY
Wang Y
WZ
Wang Z
WW
Wei WB
WC
Williams C
WG
Wilson G
WM
Wojczynski MK
YJ
Yao J
YB
Yu B
YC
Yu C
YJ
Yuan JM
ZW
Zhao W
ZA
Zonderman AB
BD
Becker DM
BM
Boehnke M
BD
Bowden DW
CJ
Chambers JC
DI
Deary IJ
ET
Esko T
FM
Farrall M
FP
Franks PW
FB
Freedman BI
FP
Froguel P
GP
Gasparini P
GC
Gieger C
HB
Horta BL
KY
Kamatani Y
KN
Kato N
KJ
Kooner JS
LM
Laakso M
LK
Leander K
LT
Lehtimäki T
MP
Magnusson PKE
PB
Penninx B
PA
Pereira AC
RR
Rauramaa R
SN
Samani NJ
SJ
Scott J
SX
Shu XO
VD
van der Harst P
WL
Wagenknecht LE
WY
Wang YX
WN
Wareham NJ
WH
Watkins H
WD
Weir DR
WA
Wickremasinghe AR
ZW
Zheng W
EP
Elliott P
NK
North KE
BC
Bouchard C
EM
Evans MK
GV
Gudnason V
LC
Liu CT
LY
Liu Y
PB
Psaty BM
RP
Ridker PM
VD
van Dam RM
KS
Kardia SLR
ZX
Zhu X
RC
Rotimi CN
MD
Mook-Kanamori DO
FM
Fornage M
KT
Kelly TN
FE
Fox ER
HC
Hayward C
VD
van Duijn CM
TE
Tai ES
WT
Wong TY
LJ
Liu J
RJ
Rotter JI
GW
Gauderman WJ
PM
Province MA
MP
Munroe PB
RK
Rice K
CD
Chasman DI
CL
Cupples LA
RD
Rao DC
MA
Morrison AC
Chapter II

Abstract

Summary of the research findings

A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2-degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models.

89,893 European ancestry individuals, 20,989 African American individuals, 12,450 Asian ancestry individuals, 3,994 HIspanic individuals

Chapter III

Study Statistics

Key metrics and study information

394584
Total Participants
GWAS
Study Type
Yes
Replicated
136,986 European ancestry individuals, 4,475 African American or Afro-Caribbean individuals, 108,431 Asian ancestry individuals, 13,714 Hispanic individuals, 3,652 Brazilian ancestry individuals
Replication Participants
African American or Afro-Caribbean, South Asian, European, Hispanic or Latin American, East Asian, Asian unspecified
Ancestry
U.S., Sri Lanka, France, Germany, Netherlands, Denmark, Estonia, Finland, Republic of Ireland, Norway, Sweden, U.K., Greece, Italy, Spain, Brazil, China, Japan, Jamaica, Singapore, Iceland, Croatia
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

Our analysis of this publication is currently being prepared. Please check back soon for comprehensive insights into the health and genetic findings discussed in this research.