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GWAS Study

Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids.

Bentley AR, Brown MR, Musani SK et al.

40537477 PubMed ID
GWAS Study Type
19133 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

BA
Bentley AR
BM
Brown MR
MS
Musani SK
SK
Schwander KL
WT
Winkler TW
SM
Sims M
KT
Kilpeläinen TO
AH
Aschard H
BT
Bartz TM
BL
Bielak LF
CJ
Chai JF
CK
Chitrala KN
FN
Franceschini N
GM
Graff M
GX
Guo X
HF
Hartwig FP
HA
Horimoto ARVR
LE
Lim E
LY
Liu Y
MA
Manning AK
NI
Nolte IM
NR
Noordam R
RM
Richard MA
SA
Smith AV
SY
Sung YJ
VD
Vojinovic D
WR
Wang R
WY
Wang Y
FM
Feitosa MF
HS
Harris SE
LL
Lyytikäinen LP
PG
Pistis G
RR
Rauramaa R
VD
van der Most PJ
WE
Ware E
WS
Weiss S
WW
Wen W
YL
Yanek LR
AD
Arking DE
AD
Arnett DK
BC
Ballantyne C
BE
Boerwinkle E
CY
Chen YI
DM
Daviglus ML
DL
de Las Fuentes L
DV
de Vries PS
DJ
Delaney JAC
FA
Fretts AM
EL
Ekunwe L
FJ
Faul JD
GL
Gallo LC
HS
Heikkinen S
HG
Homuth G
IM
Ikram MA
IC
Isasi CR
JJ
Jonas JB
KL
Keltikangas-Järvinen L
KP
Komulainen P
KA
Kraja AT
KJ
Krieger JE
LL
Launer L
LJ
Liu J
LK
Lohman K
LA
Luik AI
MA
Manichaikul AW
MP
Marques-Vidal P
MY
Milaneschi Y
MS
Mwasongwe SE
OJ
O'Connell JR
RK
Rice K
RS
Rich SS
SP
Schreiner PJ
SL
Schwettmann L
SJ
Shikany JM
SX
Shu XO
SJ
Smith JA
SH
Snieder H
SN
Sotoodehnia N
TE
Tai ES
TK
Taylor KD
TL
Tinker L
TM
Tsai MY
UA
Uitterlinden AG
VD
van Duijn CM
VH
van Heemst D
WM
Waldenberger M
WR
Wallace RB
WH
Wee HL
WD
Weir DR
WW
Wei WB
WV
Willems van Dijk K
WG
Wilson G
YJ
Yao J
YK
Young KL
ZX
Zhang X
ZW
Zhao W
ZX
Zhu X
ZA
Zonderman AB
DI
Deary IJ
GC
Gieger C
GH
Grabe HJ
LT
Lakka TA
LT
Lehtimäki T
OA
Oldehinkel AJ
PM
Preisig M
WY
Wang YX
ZW
Zheng W
EM
Evans MK
PM
Province M
GJ
Gauderman J
GV
Gudnason V
HC
Hartman CA
HB
Horta BL
KS
Kardia SLR
KC
Kooperberg C
LC
Liu CT
MD
Mook-Kanamori DO
PB
Penninx BW
PA
Pereira AC
PP
Peyser PA
PB
Psaty BM
RJ
Rotter JI
SX
Sim X
NK
North KE
RD
Rao DC
BL
Bierut L
MC
Miller CL
MA
Morrison AC
RC
Rotimi CN
FM
Fornage M
FE
Fox ER
Chapter II

Abstract

Summary of the research findings

Serum lipid levels, which are influenced by both genetic and environmental factors, are key determinants of cardiometabolic health and are influenced by both genetic and environmental factors. Improving our understanding of their underlying biological mechanisms can have important public health and therapeutic implications. Although psychosocial factors, including depression, anxiety, and perceived social support, are associated with serum lipid levels, it is unknown if they modify the effect of genetic loci that influence lipids. We conducted a genome-wide gene-by-psychosocial factor interaction (G×Psy) study in up to 133,157 individuals to evaluate if G×Psy influences serum lipid levels. We conducted a two-stage meta-analysis of G×Psy using both a one-degree of freedom (1df) interaction test and a joint 2df test of the main and interaction effects. In Stage 1, we performed G×Psy analyses on up to 77,413 individuals and promising associations (P < 10-5) were evaluated in up to 55,744 independent samples in Stage 2. Significant findings (P < 5 × 10-8) were identified based on meta-analyses of the two stages. There were 10,230 variants from 120 loci significantly associated with serum lipids. We identified novel associations for variants in four loci using the 1df test of interaction, and five additional loci using the 2df joint test that were independent of known lipid loci. Of these 9 loci, 7 could not have been detected without modeling the interaction as there was no evidence of association in a standard GWAS model. The genetic diversity of included samples was key in identifying these novel loci: four of the lead variants displayed very low frequency in European ancestry populations. Functional annotation highlighted promising loci for further experimental follow-up, particularly rs73597733 (MACROD2), rs59808825 (GRAMD1B), and rs11702544 (RRP1B). Notably, one of the genes in identified loci (RRP1B) was found to be a target of the approved drug Atenolol suggesting potential for drug repurposing. Overall, our findings suggest that taking interaction between genetic variants and psychosocial factors into account and including genetically diverse populations can lead to novel discoveries for serum lipids.

19,133 African American or Afro-Caribbean individuals

Chapter III

Study Statistics

Key metrics and study information

19133
Total Participants
GWAS
Study Type
No
Replicated
African American or Afro-Caribbean, European, Hispanic or Latin American, Asian unspecified
Ancestry
U.S., Netherlands, Finland, U.K., France, Germany, Iceland, Brazil, Singapore, China
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

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