作者
Ryan J Langdon, Rebecca C Richmond, Gibran Hemani, Jie Zheng, Kaitlin H Wade, Robert Carreras-Torres, Mattias Johansson, Paul Brennan, Robyn E Wootton, Marcus R Munafo, George Davey Smith, Caroline L Relton, Emma E Vincent, Richard M Martin, Philip Haycock
发表日期
2019/12/1
期刊
Cancer Epidemiology, Biomarkers & Prevention
卷号
28
期号
12
页码范围
2070-2078
出版商
American Association for Cancer Research
简介
Background
The 5-year mortality rate for pancreatic cancer is among the highest of all cancers. Greater understanding of underlying causes could inform population-wide intervention strategies for prevention. Summary genetic data from genome-wide association studies (GWAS) have become available for thousands of phenotypes. These data can be exploited in Mendelian randomization (MR) phenome-wide association studies (PheWAS) to efficiently screen the phenome for potential determinants of disease risk.
Methods
We conducted an MR-PheWAS of pancreatic cancer using 486 phenotypes, proxied by 9,124 genetic variants, and summary genetic data from a GWAS of pancreatic cancer (7,110 cancer cases, 7,264 controls). ORs and 95% confidence intervals per 1 SD increase in each phenotype were generated.
Results
We found evidence that …
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RJ Langdon, RC Richmond, G Hemani, J Zheng… - Cancer Epidemiology, Biomarkers & Prevention, 2019