Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype: findings from the Breast Cancer Association Consortium.
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Isabel dos Santos Silva ;
Olivia Fletcher;
Nichola Johnson;
Elinor Sawyer;
Ian Tomlinson;
Michael Kerin;
Barbara Burwinkel;
Federik Marme;
Andreas Schneeweiss;
Christof Sohn;
Stig Bojesen;
Henrik Flyger;
Børge G Nordestgaard;
Javier Benítez;
Roger L Milne;
Jose Ignacio Arias;
M Pilar Zamora;
Hermann Brenner;
Heiko Müller;
Volker Arndt;
Nazneen Rahman;
Clare Turnbull;
Sheila Seal;
Anthony Renwick;
Hiltrud Brauch;
Christina Justenhoven;
Thomas Brüning;
GENICA Network;
Jenny Chang-Claude;
Rebecca Hein;
Shan Wang-Gohrke;
Thilo Dörk;
Peter Schürmann;
Michael Bremer;
Peter Hillemanns;
Heli Nevanlinna;
Tuomas Heikkinen;
Kristiina Aittomäki;
Carl Blomqvist;
Natalia Bogdanova;
Natalia Antonenkova;
Yuri I Rogov;
Johann Hinrich Karstens;
Marina Bermisheva;
Darya Prokofieva;
Shamil Hanafievich Gantcev;
Elza Khusnutdinova;
Annika Lindblom;
Sara Margolin;
Georgia Chenevix-Trench;
Jonathan Beesley;
Xiaoqing Chen;
kConFab AOCS Management Group;
Arto Mannermaa;
Veli-Matti Kosma;
Ylermi Soini;
Vesa Kataja;
Diether Lambrechts;
Betül T Yesilyurt;
Marie-Rose Chrisiaens;
Stephanie Peeters;
Paolo Radice;
Paolo Peterlongo;
Siranoush Manoukian;
Monica Barile;
Fergus Couch;
Adam M Lee;
Robert Diasio;
Xianshu Wang;
Graham G Giles;
Gianluca Severi;
Laura Baglietto;
Catriona Maclean;
Ken Offit;
Mark Robson;
Vijai Joseph;
Mia Gaudet;
Esther M John;
Robert Winqvist;
Katri Pylkäs;
Arja Jukkola-Vuorinen;
Mervi Grip;
Irene Andrulis;
Julia A Knight;
Anna Marie Mulligan;
Frances P O'Malley;
Louise A Brinton;
Mark E Sherman;
Jolanta Lissowska;
Stephen J Chanock;
Maartje Hooning;
John WM Martens;
Ans MW van den Ouweland;
J Margriet Collée;
Per Hall;
Kamila Czene;
Angela Cox;
Ian W Brock;
Malcolm WR Reed;
Simon S Cross;
Paul Pharoah;
Alison M Dunning;
Daehee Kang;
Keun-Young Yoo;
Dong-Young Noh;
Sei-Hyun Ahn;
Anna Jakubowska;
Jan Lubinski;
Katarzyna Jaworska;
Katarzyna Durda;
Suleeporn Sangrajrang;
Valerie Gaborieau;
Paul Brennan;
James McKay;
Chen-Yang Shen;
Shian-ling Ding;
Huan-Ming Hsu;
Jyh-Cherng Yu;
Hoda Anton-Culver;
Argyrios Ziogas;
Alan Ashworth;
Anthony Swerdlow;
Michael Jones;
Nick Orr;
Amy Trentham-Dietz;
Kathleen Egan;
Polly Newcomb;
Linda Titus-Ernstoff;
Doug Easton;
Amanda B Spurdle;
(2011)
Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype: findings from the Breast Cancer Association Consortium.
Human molecular genetics, 20 (23).
pp. 4693-4706.
ISSN 0964-6906
DOI: 10.1093/hmg/ddr368
A genome-wide association study (GWAS) identified single-nucleotide polymorphisms (SNPs) at 1p11.2 and 14q24.1 (RAD51L1) as breast cancer susceptibility loci. The initial GWAS suggested stronger effects for both loci for estrogen receptor (ER)-positive tumors. Using data from the Breast Cancer Association Consortium (BCAC), we sought to determine whether risks differ by ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), grade, node status, tumor size, and ductal or lobular morphology. We genotyped rs11249433 at 1p.11.2, and two highly correlated SNPs rs999737 and rs10483813 (r(2)= 0.98) at 14q24.1 (RAD51L1), for up to 46 036 invasive breast cancer cases and 46 930 controls from 39 studies. Analyses by tumor characteristics focused on subjects reporting to be white women of European ancestry and were based on 25 458 cases, of which 87% had ER data. The SNP at 1p11.2 showed significantly stronger associations with ER-positive tumors [per-allele odds ratio (OR) for ER-positive tumors was 1.13, 95% CI = 1.10-1.16 and, for ER-negative tumors, OR was 1.03, 95% CI = 0.98-1.07, case-only P-heterogeneity = 7.6 × 10(-5)]. The association with ER-positive tumors was stronger for tumors of lower grade (case-only P= 6.7 × 10(-3)) and lobular histology (case-only P= 0.01). SNPs at 14q24.1 were associated with risk for most tumor subtypes evaluated, including triple-negative breast cancers, which has not been described previously. Our results underscore the need for large pooling efforts with tumor pathology data to help refine risk estimates for SNP associations with susceptibility to different subtypes of breast cancer.