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Principal Investigator
Name
jianbo Tian
Degrees
Ph.D.
Institution
School of Health Public Wuhan University
Position Title
Associate Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-936
Initial CDAS Request Approval
Mar 7, 2022
Title
Alcohol,Dietary fibre and pan-cancer:construction of a polygenic risk model.
Summary
Non-technical summary Epidemiological studies have shown that certain environmental risk factors (e.g., alcohol, smoking, dietary fibre intake, education, environmental exposure, etc.) is associated with cancers risk. However, whether the links are causal effect is unclear. In our study, we want to use a method called Mendelian randomization to determine whether there are casual association between environmental risk factors and cancers (e.g Prostate, Lung, Colorectal, Ovarian, etc.) risk. If so, this would provide evidence that the association observed in epidemiological studies is causal. The PLCO database stores about 150,000 participants in prostate cancer, lung cancer, colorectal cancer and breast cancer screening and diet, lifestyle and other environmental factors data, which are exactly what we need. Besides, the PLCO database also contains relevant GWAS data, which makes it possible for us to build tumor polygenic risk prediction models screening high-risk groups.
Aims

The purpose of our application for PLCO database is to make fully integrated use of the existing database of our research group as well as PLCO database to conduct research on the relationship between tumors and diet (diet including alcohol intake, fruits and vegetables intake to estimate dietary fibre, etc). However, Mendelian randomization study has been used widely to address the causal relation of risk factors with diseases considering that the genotypes of single nucleotide polymorphism were less likely to be affected by confounding factors and reverse causation. Alcohol drinking as one of the major environmental risk factors of cancers may in concert with genetic factors affecting the development and progression of cancers. We plan to conduct a genome-wide interaction analysis between SNPs and alcohol drinking status and the volume of dietary fibre intake. We will use PLCO data as discovery dataset, the significant factors from the discovery analysis will be used to build tumor polygenic risk prediction models, then tested in the UK Biobank data and our own Chinese groups. We hope to build a reasonable tumor prediction model and screen as many high-risk groups as possible.

Collaborators

Miao Xiaoping, School of Health Public Wuhan University.
Tian Jianbo, School of Health Public Wuhan University.
Zhu Ying, School of Health Public Wuhan University.