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GWAS Study

Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk.

Shrine N, Izquierdo AG, Chen J et al.

36914875 PubMed ID
GWAS Study Type
1564 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SN
Shrine N
IA
Izquierdo AG
CJ
Chen J
PR
Packer R
HR
Hall RJ
GA
Guyatt AL
BC
Batini C
TR
Thompson RJ
PC
Pavuluri C
MV
Malik V
HB
Hobbs BD
MM
Moll M
KW
Kim W
TR
Tal-Singer R
BP
Bakke P
FK
Fawcett KA
JC
John C
CK
Coley K
PN
Piga NN
PA
Pozarickij A
LK
Lin K
MI
Millwood IY
CZ
Chen Z
LL
Li L
WS
Wijnant SRA
LL
Lahousse L
BG
Brusselle G
UA
Uitterlinden AG
MA
Manichaikul A
OE
Oelsner EC
RS
Rich SS
BR
Barr RG
KS
Kerr SM
VV
Vitart V
BM
Brown MR
WM
Wielscher M
IM
Imboden M
JA
Jeong A
BT
Bartz TM
GS
Gharib SA
FC
Flexeder C
KS
Karrasch S
GC
Gieger C
PA
Peters A
SB
Stubbe B
HX
Hu X
OV
Ortega VE
MD
Meyers DA
BE
Bleecker ER
GS
Gabriel SB
GN
Gupta N
SA
Smith AV
LJ
Luan J
ZJ
Zhao JH
HA
Hansen AF
LA
Langhammer A
WC
Willer C
BL
Bhatta L
PD
Porteous D
SB
Smith BH
CA
Campbell A
ST
Sofer T
LJ
Lee J
DM
Daviglus ML
YB
Yu B
LE
Lim E
XH
Xu H
OG
O'Connor GT
TG
Thareja G
AO
Albagha OME
SK
Suhre K
GR
Granell R
FT
Faquih TO
HP
Hiemstra PS
SA
Slats AM
MB
Mullin BH
HJ
Hui J
JA
James A
BJ
Beilby J
PK
Patasova K
HP
Hysi P
KJ
Koskela JT
WA
Wyss AB
JJ
Jin J
SS
Sikdar S
LM
Lee M
MS
May-Wilson S
PN
Pirastu N
KK
Kentistou KA
JP
Joshi PK
TP
Timmers PRHJ
WA
Williams AT
FR
Free RC
WX
Wang X
MJ
Morrison JL
GF
Gilliland FD
CZ
Chen Z
WC
Wang CA
FR
Foong RE
HS
Harris SE
TA
Taylor A
RP
Redmond P
CJ
Cook JP
MA
Mahajan A
LL
Lind L
PT
Palviainen T
LT
Lehtimäki T
RO
Raitakari OT
KJ
Kaprio J
RT
Rantanen T
PK
Pietiläinen KH
CS
Cox SR
PC
Pennell CE
HG
Hall GL
GW
Gauderman WJ
BC
Brightling C
WJ
Wilson JF
VT
Vasankari T
LT
Laitinen T
SV
Salomaa V
MD
Mook-Kanamori DO
TN
Timpson NJ
ZE
Zeggini E
DJ
Dupuis J
HC
Hayward C
BB
Brumpton B
LC
Langenberg C
WS
Weiss S
HG
Homuth G
SC
Schmidt CO
PN
Probst-Hensch N
JM
Jarvelin MR
MA
Morrison AC
PO
Polasek O
RI
Rudan I
LJ
Lee JH
SI
Sayers I
RE
Rawlins EL
DF
Dudbridge F
SE
Silverman EK
SD
Strachan DP
WR
Walters RG
MA
Morris AP
LS
London SJ
CM
Cho MH
WL
Wain LV
HI
Hall IP
TM
Tobin MD
Chapter II

Abstract

Summary of the research findings

Lung-function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry genome-wide association meta-analysis of lung function to date, comprising 580,869 participants, we identified 1,020 independent association signals implicating 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These genes were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. We undertook phenome-wide association studies for selected associated variants as well as trait and pathway-specific genetic risk scores to infer possible consequences of intervening in pathways underlying lung function. We highlight new putative causal variants, genes, proteins and pathways, including those targeted by existing drugs. These findings bring us closer to understanding the mechanisms underlying lung function and COPD, and should inform functional genomics experiments and potentially future COPD therapies.

1,564 East Asian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

1564
Total Participants
GWAS
Study Type
No
Replicated
East Asian, Hispanic or Latin American, European, African unspecified, South Asian
Ancestry
U.K., Netherlands, U.S., Qatar, Finland, Germany, 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

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.