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

Authors :
Yan Guo
Shaneda Warren Andersen
Xiao-Ou Shu
Kyriaki Michailidou
Manjeet K Bolla
Qin Wang
Montserrat Garcia-Closas
Roger L Milne
Marjanka K Schmidt
Jenny Chang-Claude
Allison Dunning
Stig E Bojesen
Habibul Ahsan
Kristiina Aittomäki
Irene L Andrulis
Hoda Anton-Culver
Volker Arndt
Matthias W Beckmann
Alicia Beeghly-Fadiel
Javier Benitez
Natalia V Bogdanova
Bernardo Bonanni
Anne-Lise Børresen-Dale
Judith Brand
Hiltrud Brauch
Hermann Brenner
Thomas Brüning
Barbara Burwinkel
Graham Casey
Georgia Chenevix-Trench
Fergus J Couch
Angela Cox
Simon S Cross
Kamila Czene
Peter Devilee
Thilo Dörk
Martine Dumont
Peter A Fasching
Jonine Figueroa
Dieter Flesch-Janys
Olivia Fletcher
Henrik Flyger
Florentia Fostira
Marilie Gammon
Graham G Giles
Pascal Guénel
Christopher A Haiman
Ute Hamann
Maartje J Hooning
John L Hopper
Anna Jakubowska
Farzana Jasmine
Mark Jenkins
Esther M John
Nichola Johnson
Michael E Jones
Maria Kabisch
Muhammad Kibriya
Julia A Knight
Linetta B Koppert
Veli-Matti Kosma
Vessela Kristensen
Loic Le Marchand
Eunjung Lee
Jingmei Li
Annika Lindblom
Robert Luben
Jan Lubinski
Kathi E Malone
Arto Mannermaa
Sara Margolin
Frederik Marme
Catriona McLean
Hanne Meijers-Heijboer
Alfons Meindl
Susan L Neuhausen
Heli Nevanlinna
Patrick Neven
Janet E Olson
Jose I A Perez
Barbara Perkins
Paolo Peterlongo
Kelly-Anne Phillips
Katri Pylkäs
Anja Rudolph
Regina Santella
Elinor J Sawyer
Rita K Schmutzler
Caroline Seynaeve
Mitul Shah
Martha J Shrubsole
Melissa C Southey
Anthony J Swerdlow
Amanda E Toland
Ian Tomlinson
Diana Torres
Thérèse Truong
Giske Ursin
Rob B Van Der Luijt
Senno Verhoef
Alice S Whittemore
Robert Winqvist
Hui Zhao
Shilin Zhao
Per Hall
Jacques Simard
Peter Kraft
Paul Pharoah
David Hunter
Douglas F Easton
Wei Zheng
Source :
PLoS Medicine, Vol 13, Iss 8, p e1002105 (2016)
Publication Year :
2016
Publisher :
Public Library of Science (PLoS), 2016.

Abstract

BackgroundObservational 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.MethodsWe 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 the Breast Cancer Association Consortium (BCAC) (cases = 46,325, controls = 42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively.ResultsIn the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR] = 0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 × 10-10). The associations were similar for both premenopausal (OR = 0.44, 95% CI:0.31-0.62, p = 9.91 × 10-8) and postmenopausal breast cancer (OR = 0.57, 95% CI: 0.46-0.71, p = 1.88 × 10-8). This association was replicated in the data from the DRIVE consortium (OR = 0.72, 95% CI: 0.60-0.84, p = 1.64 × 10-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p ConclusionsBMI predicted by genome-wide association studies (GWAS)-identified variants is inversely associated with the risk of both pre- and postmenopausal breast cancer. The reduced risk of postmenopausal breast cancer associated with genetically predicted BMI observed in this study differs from the positive association reported from studies using measured adult BMI. Understanding the reasons for this discrepancy may reveal insights into the complex relationship of genetic determinants of body weight in the etiology of breast cancer.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
15491277 and 15491676
Volume :
13
Issue :
8
Database :
Directory of Open Access Journals
Journal :
PLoS Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.86b2e4fee4f7469e9976906ef7d6d7fd
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pmed.1002105