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324467
A genome-wide association study identifies cancer-associated genes CTNNA3 and KCNIP1 contributing to alcohol dependence


Wednesday, November 4, 2015 : 10:30 a.m. - 10:50 a.m.

Kesheng Wang, PhD, Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN
Daniel Owusu, DrPH, Department of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN
Lingjun Zuo, Dr., Yale University School of Medicine, New Haven, CT
Yue Pan, PhDc, Miller School of Medicine, University of Miami, Miami, FL
Xuefeng Liu, Dr., University of Michigan School of Nursing, Ann Arbor, MI
Yujing Li, PhD, School of Medicine, Emory University, Atlanta, GA
Xingguang Luo, Dr., Department of Psychiatry, Yale University, New Haven, CT
Audio (mp3) recording Recorded Presentation (mp4)
Objective:Alcohol consumption is a potential risk factor for some cancers. However, little is known if cancer related genes are associated with alcohol dependence (AD). The purposes of this study are 1) to identify cancer-associated genes using a genome-wide association study (GWAS) and 2) to examine if these genes contribute to AD.

Methods:The Marshfield sample is from a GWAS on Cataract and HDL in the Personalized Medicine Research Project Cohort with 1,442 cancer (any diagnosed cancer omitting minor skin cancer) and 2,122 non-cancer individuals and genotyped for Illumina Human660 SNP panel. Study of Addiction - Genetics and Environment (SAGE) sample includes 1,066 AD patients and 1,278 controls (1M Illumina SNPs). Logistic regression analysis of binary traits including cancer status and AD, adjusted for age and sex, was performed using PLINK software.

Results: Although no SNPs achieved genome-wide significance, 34 SNPs were associated with cancer with p < 5x10-5; of them 8 SNPs are within CTNNA3, 2 within DNAH8, 2 within MMP16, and 1 within KCNIP1. Interestingly, SNP rs7920397 within CTNNA3 and rs314137 within KCNIP1 were strongly associated AD in the SAGE sample (p=4.95x10-4 and 4.87x10-4, respectively). In addition, 4 SNPs in KCNIP1 (rs6555910, rs4869012, rs10475944, and rs4867994) were associated with both cancers and AD (p<0.05).

Conclusion: We identified several genes/loci for cancers. Some cancer related genes such as CTNNA3 and KCNIP1 were also associated with AD. These findings potentially offer new insights into the pathogenesis of AD and cancers.

Learning Areas:

Basic medical science applied in public health
Biostatistics, economics
Chronic disease management and prevention
Epidemiology
Public health biology
Public health or related research

Learning Objectives:
Analyze genome-wide association study data in cancer Identify shared genes between and cancers and alcohol dependence Discuss the pathogenesis of alcohol consumption and cancers

Keyword(s): Cancer, Genetics

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been working with Dr.Kesheng Wang in the past two years. I have been involved in several research projects and/or topics in genetic epidemiology studies.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

Back to: 5096.0: Recent Findings in Public Health Epidemiology and Genetic Research