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GWAS Study

A genome-wide gene-gene interaction analysis identifies an epistatic gene pair for lung cancer susceptibility in Han Chinese.

Chu M, Zhang R, Zhao Y et al.

24325914 PubMed ID
GWAS Study Type
13392 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

CM
Chu M
ZR
Zhang R
ZY
Zhao Y
WC
Wu C
GH
Guo H
ZB
Zhou B
LJ
Lu J
SY
Shi Y
DJ
Dai J
JG
Jin G
MH
Ma H
DJ
Dong J
WY
Wei Y
WC
Wang C
GJ
Gong J
SC
Sun C
ZM
Zhu M
QY
Qiu Y
WT
Wu T
HZ
Hu Z
LD
Lin D
SH
Shen H
CF
Chen F
Chapter II

Abstract

Summary of the research findings

Lung cancer is the leading cause of cancer-related deaths worldwide. By now, genome-wide association studies (GWAS) have identified numerous loci associated with the risk of developing lung cancer. However, these loci account for only a small fraction of the familial lung cancer risk. We hypothesized that epistasis may contribute to the missing heritability. To test this hypothesis, we systematically evaluated the association of epistasis of genetic variants with risk of lung cancer in Han Chinese cohorts. We conducted a pairwise genetic interaction analysis of 591370 variants, using BOolean Operation-based Screening and Testing (BOOST), in an ongoing GWAS of lung cancer that includes 2331 cases and 3077 controls. Pairs of epistatic loci with P BOOST ≤ 1.00×10(-6) were further evaluated by a logistic regression model (LRM) with covariate adjustment. Four promising epistatic pairs identified at the screening stage (P LRM ≤ 2.86×10(-) (13)) were validated in two replication cohorts: the first from Beijing (1534 cases and 1489 controls) and the second from Shenyang and Guangzhou (2512 cases and 2449 controls). Using this combined analysis, we identified an interaction between rs2562796 and rs16832404 at 2p32.2 that was significantly associated with the risk of developing lung cancer (P LRM = 1.03×10(-13) in total 13 392 subjects). This study is the first investigation of epistasis for lung cancer on a genome-wide scale in Han Chinese. It addresses part of the missing heritability in lung cancer risk and provides novel insight into the multifactorial etiology of lung cancer.

2,331 Han Chinese ancestry cases, 3,077 Han Chinese ancestry controls

Chapter III

Study Statistics

Key metrics and study information

13392
Total Participants
GWAS
Study Type
Yes
Replicated
4,046 Han Chinese ancestry cases, 3,938 Han Chinese ancestry controls
Replication Participants
East Asian
Ancestry
China
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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