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GWAS Study

Familial aggregation of common sequence variants on 15q24-25.1 in lung cancer.

Liu P, Vikis HG, Wang D et al.

18780872 PubMed ID
GWAS Study Type
9122 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LP
Liu P
VH
Vikis HG
WD
Wang D
LY
Lu Y
WY
Wang Y
SA
Schwartz AG
PS
Pinney SM
YP
Yang P
DA
de Andrade M
PG
Petersen GM
WJ
Wiest JS
FP
Fain PR
GA
Gazdar A
GC
Gaba C
RH
Rothschild H
MD
Mandal D
CT
Coons T
LJ
Lee J
KE
Kupert E
SD
Seminara D
MJ
Minna J
BJ
Bailey-Wilson JE
WX
Wu X
SM
Spitz MR
ET
Eisen T
HR
Houlston RS
AC
Amos CI
AM
Anderson MW
YM
You M
Chapter II

Abstract

Summary of the research findings

Three recent genome-wide association studies identified associations between markers in the chromosomal region 15q24-25.1 and the risk of lung cancer. We conducted a genome-wide association analysis to investigate associations between single-nucleotide polymorphisms (SNPs) and the risk of lung cancer, in which we used blood DNA from 194 case patients with familial lung cancer and 219 cancer-free control subjects. We identified associations between common sequence variants at 15q24-25.1 (that spanned LOC123688 [a hypothetical gene], PSMA4, CHRNA3, CHRNA5, and CHRNB4) and lung cancer. The risk of lung cancer was more than fivefold higher among those subjects who had both a family history of lung cancer and two copies of high-risk alleles rs8034191 (odds ratio [OR] = 7.20, 95% confidence interval [CI] = 2.21 to 23.37) or rs1051730 (OR = 5.67, CI = 2.21 to 14.60, both of which were located in the 15q24-25.1 locus, than among control subjects. Thus, further research to elucidate causal variants in the 15q24-25.1 locus that are associated with lung cancer is warranted.

194 European ancestry cases, 219 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

9122
Total Participants
GWAS
Study Type
Yes
Replicated
3,878 cases, 4,831 controls
Replication Participants
European
Ancestry
U.S.
Recruitment Country
Chapter IV

AI-Generated Summary

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