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GWAS Study

Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer.

Gong J, Hutter CM, Newcomb PA et al.

27723779 PubMed ID
GWAS Study Type
16823 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GJ
Gong J
HC
Hutter CM
NP
Newcomb PA
UC
Ulrich CM
BS
Bien SA
CP
Campbell PT
BJ
Baron JA
BS
Berndt SI
BS
Bezieau S
BH
Brenner H
CG
Casey G
CA
Chan AT
CJ
Chang-Claude J
DM
Du M
DD
Duggan D
FJ
Figueiredo JC
GS
Gallinger S
GE
Giovannucci EL
HR
Haile RW
HT
Harrison TA
HR
Hayes RB
HM
Hoffmeister M
HJ
Hopper JL
HT
Hudson TJ
JJ
Jeon J
JM
Jenkins MA
KJ
Kocarnik J
KS
Küry S
LM
Le Marchand L
LY
Lin Y
LN
Lindor NM
NR
Nishihara R
OS
Ogino S
PJ
Potter JD
RA
Rudolph A
SR
Schoen RE
SP
Schrotz-King P
SD
Seminara D
SM
Slattery ML
TS
Thibodeau SN
TM
Thornquist M
TR
Toth R
WR
Wallace R
WE
White E
JS
Jiao S
LM
Lemire M
HL
Hsu L
PU
Peters U
Chapter II

Abstract

Summary of the research findings

Genome-wide association studies (GWAS) have identified many genetic susceptibility loci for colorectal cancer (CRC). However, variants in these loci explain only a small proportion of familial aggregation, and there are likely additional variants that are associated with CRC susceptibility. Genome-wide studies of gene-environment interactions may identify variants that are not detected in GWAS of marginal gene effects. To study this, we conducted a genome-wide analysis for interaction between genetic variants and alcohol consumption and cigarette smoking using data from the Colon Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Interactions were tested using logistic regression. We identified interaction between CRC risk and alcohol consumption and variants in the 9q22.32/HIATL1 (Pinteraction = 1.76×10-8; permuted p-value 3.51x10-8) region. Compared to non-/occasional drinking light to moderate alcohol consumption was associated with a lower risk of colorectal cancer among individuals with rs9409565 CT genotype (OR, 0.82 [95% CI, 0.74-0.91]; P = 2.1×10-4) and TT genotypes (OR,0.62 [95% CI, 0.51-0.75]; P = 1.3×10-6) but not associated among those with the CC genotype (p = 0.059). No genome-wide statistically significant interactions were observed for smoking. If replicated our suggestive finding of a genome-wide significant interaction between genetic variants and alcohol consumption might contribute to understanding colorectal cancer etiology and identifying subpopulations with differential susceptibility to the effect of alcohol on CRC risk.

8,058 European ancestry non/occasional, light-to-moderate, and heavy drinker cases, 8,765 European ancestry non/occasional, light-to-moderate, and heavy drinker controls

Chapter III

Study Statistics

Key metrics and study information

16823
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.S., Australia, Canada, Germany, France
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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