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GWAS Study

A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations.

Nagarajan P, Winkler TW, Bentley AR et al.

40181193 PubMed ID
GWAS Study Type
810633 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

NP
Nagarajan P
WT
Winkler TW
BA
Bentley AR
MC
Miller CL
KA
Kraja AT
SK
Schwander K
LS
Lee S
WW
Wang W
BM
Brown MR
MJ
Morrison JL
GA
Giri A
OJ
O'Connell JR
BT
Bartz TM
DL
de Las Fuentes L
GV
Gudmundsdottir V
GX
Guo X
HS
Harris SE
HZ
Huang Z
KM
Kals M
KM
Kho M
LC
Lefevre C
LJ
Luan J
LL
Lyytikäinen LP
MM
Mangino M
MY
Milaneschi Y
PN
Palmer ND
RV
Rao V
RR
Rauramaa R
SB
Shen B
SS
Stadler S
SQ
Sun Q
TJ
Tang J
TS
Thériault S
VD
van der Graaf A
VD
van der Most PJ
WY
Wang Y
WS
Weiss S
WK
Westerman KE
YQ
Yang Q
YT
Yasuharu T
ZW
Zhao W
ZW
Zhu W
AD
Altschul D
AM
Ansari MAY
AP
Anugu P
AA
Argoty-Pantoja AD
AM
Arzt M
AH
Aschard H
AJ
Attia JR
BL
Bazzanno L
BM
Breyer MA
BJ
Brody JA
CB
Cade BE
CH
Chen HH
CY
Chen YI
CZ
Chen Z
DV
de Vries PS
DL
Dimitrov LM
DA
Do A
DJ
Du J
DC
Dupont CT
ET
Edwards TL
EM
Evans MK
FT
Faquih T
FS
Felix SB
FS
Fisher-Hoch SP
FJ
Floyd JS
GM
Graff M
GC
Gu C
GD
Gu D
HK
Hairston KG
HA
Hanley AJ
HI
Heid IM
HS
Heikkinen S
HH
Highland HM
HM
Hood MM
KM
Kähönen M
KC
Karvonen-Gutierrez CA
KT
Kawaguchi T
KS
Kazuya S
KT
Kelly TN
KP
Komulainen P
LD
Levy D
LH
Lin HJ
LP
Liu PY
MP
Marques-Vidal P
MJ
McCormick JB
MH
Mei H
MJ
Meigs JB
MC
Menni C
NK
Nam K
NI
Nolte IM
PN
Pacheco NL
PL
Petty LE
PH
Polikowsky HG
PM
Province MA
PB
Psaty BM
RL
Raffield LM
RO
Raitakari OT
RS
Rich SS
RR
Riha RL
RL
Risch L
RM
Risch M
RE
Ruiz-Narvaez EA
SR
Scott RJ
SC
Sitlani CM
SJ
Smith JA
ST
Sofer T
TM
Teder-Laving M
VU
Völker U
VP
Vollenweider P
WG
Wang G
WV
Willems van Dijk K
WO
Wilson OD
XR
Xia R
YJ
Yao J
YK
Young KL
ZR
Zhang R
ZX
Zhu X
BJ
Below JE
BC
Böger CA
CD
Conen D
CS
Cox SR
DM
Dörr M
FM
Feitosa MF
FE
Fox ER
FN
Franceschini N
GS
Gharib SA
GV
Gudnason V
HS
Harlow SD
HJ
He J
HE
Holliday EG
KZ
Kutalik Z
LT
Lakka TA
LD
Lawlor DA
LS
Lee S
LT
Lehtimäki T
LC
Li C
LC
Liu CT
MR
Mägi R
MF
Matsuda F
MA
Morrison AC
PB
Penninx BW
PP
Peyser PA
RJ
Rotter JI
SH
Snieder H
ST
Spector TD
WL
Wagenknecht LE
WN
Wareham NJ
ZA
Zonderman AB
NK
North KE
FM
Fornage M
HA
Hung AM
MA
Manning AK
GJ
Gauderman J
CH
Chen H
MP
Munroe PB
RD
Rao DC
VH
van Heemst D
RS
Redline S
NR
Noordam R
WH
Wang H
Chapter II

Abstract

Summary of the research findings

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discovered 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.

47,701 African American or African ancestry individuals, 30,418 Hispanic or Latin American individuals, 48,352 East Asian ancestry individuals, 676,555 European ancestry individuals, 7,607 South Asian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

810633
Total Participants
GWAS
Study Type
No
Replicated
Hispanic or Latin American, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, European
Ancestry
U.S., U.K., China, Japan, Republic of Korea, Netherlands, Finland, Liechtenstein, Denmark, Australia, Switzerland, Iceland, Germany, Estonia
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.