Mendelian randomization study of adiposity-related traits and risk of breast, ovarian, prostate, lung and colorectal cancer | Zendy

Chi Gao | Zendy; Chirag J. Patel | Zendy; Kyriaki Michailidou | Zendy; Ulrike Peters | Zendy; Jian Gong | Zendy; Joellen M. Schildkraut | Zendy; Fredrick R. Schumacher | Zendy; Wei Zheng | Zendy; Paolo Boffetta | Zendy; Isabelle Stücker | Zendy; Walter C. Willett | Zendy; Stephen B. Gruber | Zendy; Douglas F. Easton | Zendy; David J. Hunter | Zendy; Thomas A. Sellers | Zendy; Christopher A. Haiman | Zendy; Brian E. Henderson | Zendy; Rayjean J. Hung | Zendy; Christopher I. Amos | Zendy; Brandon L. Pierce | Zendy; Sara Lindström | Zendy; Peter Kraft | Zendy

Open Access

Mendelian randomization study of adiposity-related traits and risk of breast, ovarian, prostate, lung and colorectal cancer

Author(s) -

Chi Gao,

Chirag J. Patel,

Kyriaki Michailidou,

Ulrike Peters,

Jian Gong,

Joellen M. Schildkraut,

Fredrick R. Schumacher,

Wei Zheng,

Paolo Boffetta,

Isabelle Stücker,

Walter C. Willett,

Stephen B. Gruber,

Douglas F. Easton,

David J. Hunter,

Thomas A. Sellers,

Christopher A. Haiman,

Brian E. Henderson,

Rayjean J. Hung,

Christopher I. Amos,

Brandon L. Pierce,

Sara Lindström,

Peter Kraft

Publication year - 2016

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyw129

Subject(s) - mendelian randomization , medicine , oncology , odds ratio , body mass index , breast cancer , genome wide association study , confounding , prostate cancer , confidence interval , gynecology , obstetrics , cancer , single nucleotide polymorphism , biology , genetics , genotype , gene , genetic variants

Adiposity traits have been associated with risk of many cancers in observational studies, but whether these associations are causal is unclear. Mendelian randomization (MR) uses genetic predictors of risk factors as instrumental variables to eliminate reverse causation and reduce confounding bias. We performed MR analyses to assess the possible causal relationship of birthweight, childhood and adult body mass index (BMI), and waist-hip ratio (WHR) on the risks of breast, ovarian, prostate, colorectal and lung cancers.

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