Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent

Y Guo; S Warren Andersen; XO Shu; K Michailidou; MK Bolla; Q Wang; M Garcia-Closas; RL Milne; MK Schmidt; J Chang-Claude; A Dunning; SE Bojesen; H Ahsan; K Aittomäki; IL Andrulis; H Anton-Culver; V Arndt; MW Beckmann; A Beeghly-Fadiel; J Benitez; NV Bogdanova; B Bonanni; AL Børresen-Dale; J Brand; H Brauch; H Brenner; T Brüning; B Burwinkel; G Casey; G Chenevix-Trench; FJ Couch; A Cox; SS Cross; K Czene; P Devilee; T Dörk; M Dumont; PA Fasching; J Figueroa; D Flesch-Janys; O Fletcher; H Flyger; F Fostira; M Gammon; GG Giles; P Guénel; CA Haiman; U Hamann; MJ Hooning; JL Hopper; A Jakubowska; F Jasmine; M Jenkins; EM John; N Johnson; ME Jones; M Kabisch; M Kibriya; JA Knight; LB Koppert; VM Kosma; V Kristensen; L Le Marchand; E Lee; J Li; A Lindblom; R Luben; J Lubinski; KE Malone; A Mannermaa; S Margolin; F Marme; C McLean; H Meijers-Heijboer; A Meindl; SL Neuhausen; H Nevanlinna; P Neven; JE Olson; JIA Perez; B Perkins; P Peterlongo; KA Phillips; K Pylkäs; A Rudolph; R Santella; EJ Sawyer; RK Schmutzler; C Seynaeve; M Shah; MJ Shrubsole; MC Southey; AJ Swerdlow; AE Toland; I Tomlinson; D Torres; T Truong; G Ursin; RB Van Der Luijt; S Verhoef

Journal article

Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent

Y Guo, S Warren Andersen, XO Shu, K Michailidou, MK Bolla, Q Wang, M Garcia-Closas, RL Milne, MK Schmidt, J Chang-Claude, A Dunning, SE Bojesen, H Ahsan, K Aittomäki, IL Andrulis, H Anton-Culver, V Arndt, MW Beckmann, A Beeghly-Fadiel, J Benitez Show all

Plos Medicine | PUBLIC LIBRARY SCIENCE | Published : 2016

DOI: 10.1371/journal.pmed.1002105

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Abstract

Background: Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. Methods: We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from..

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Mark Jenkins Author

Catriona McLean Author

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Awarded by National Cancer Institute

Funding Acknowledgements

The work conducted for this project at Vanderbilt University is supported primarily by National Cancer Institute research grants (R37CA070867 and R25CA160056) and endowment funds for the Ingram Professorship and Anne Potter Wilson Chair. JF is a volunteer for the NCI in the Epidemiology and Biostatistics Program and has no role in funding decisions. A complete funding statement is available in the Supporting Information. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.