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GWAS Study

How genome-wide SNP-SNP interactions relate to nasopharyngeal carcinoma susceptibility.

Su WH, Yao Shugart Y, Chang KP et al.

24376627 PubMed ID
GWAS Study Type
930 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SW
Su WH
YS
Yao Shugart Y
CK
Chang KP
TN
Tsang NM
TK
Tse KP
CY
Chang YS
Chapter II

Abstract

Summary of the research findings

This study is the first to use genome-wide association study (GWAS) data to evaluate the multidimensional genetic architecture underlying nasopharyngeal cancer. Since analysis of data from GWAS confirms a close and consistent association between elevated risk for nasopharyngeal carcinoma (NPC) and major histocompatibility complex class 1 genes, our goal here was to explore lesser effects of gene-gene interactions. We conducted an exhaustive genome-wide analysis of GWAS data of NPC, revealing two-locus interactions occurring between single nucleotide polymorphisms (SNPs), and identified a number of suggestive interaction loci which were missed by traditional GWAS analyses. Although none of the interaction pairs we identified passed the genome-wide Bonferroni-adjusted threshold for significance, using independent GWAS data from the same population (Stage 2), we selected 66 SNP pairs in 39 clusters with P<0.01. We identified that in several chromosome regions, multiple suggestive interactions group to form a block-like signal, effectively reducing the rate of false discovery. The strongest cluster of interactions involved the CREB5 gene and a SNP rs1607979 on chromosome 17q22 (P = 9.86×10(-11)) which also show trans-expression quantitative loci (eQTL) association in Chinese population. We then detected a complicated cis-interaction pattern around the NPC-associated HLA-B locus, which is immediately adjacent to copy-number variations implicated in male susceptibility for NPC. While it remains to be seen exactly how and to what degree SNP-SNP interactions such as these affect susceptibility for nasopharyngeal cancer, future research on these questions holds great promise for increasing our understanding of this disease's genetic etiology, and possibly also that of other gene-related cancers.

277 Han Chinese ancestry cases, 285 Han Chinese ancestry controls

Chapter III

Study Statistics

Key metrics and study information

930
Total Participants
GWAS
Study Type
Yes
Replicated
181 Han Chinese ancestry cases, 187 Han Chinese ancestry controls
Replication Participants
East Asian
Ancestry
Taiwan
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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