Figueroa JD, Garcia-Closas M, Humphreys M, Platte R, Hopper JL, Southey MC, Apicella C, Hammet F, Schmidt MK, Broeks A, Tollenaar RA, Van't Veer LJ, Fasching PA, Beckmann MW, Ekici AB, Strick R, Peto J, dos Santos Silva I, Fletcher O, Johnson N, Sawyer E, Tomlinson I, Kerin M, Burwinkel B, Marme F, Schneeweiss A, Sohn C, Bojesen S, Flyger H, Nordestgaard BG, Benitez J, Milne RL, Ignacio Arias J, Zamora MP, Brenner H, Muller H, Arndt V, Rahman N, Turnbull C, Seal S, Renwick A, Brauch H, Justenhoven C, Bruning T, Chang-Claude J, Hein R, Wang-Gohrke S, Dork T, Schurmann P, Bremer M, Hillemanns P, Nevanlinna H, Heikkinen T, Aittomaki K, Blomqvist C, Bogdanova N, Antonenkova N, Rogov YI, Karstens JH, Bermisheva M, Prokofieva D, Gantcev SH, Khusnutdinova E, Lindblom A, Margolin S, Chenevix-Trench G, Beesley J, Chen X, Mannermaa A, Kosma VM, Soini Y, Kataja V, Lambrechts D, Yesilyurt BT, Chrisiaens MR, Peeters S, Radice P, Peterlongo P, Manoukian S, Barile M, Couch F, Lee AM, Diasio R, Wang X, Giles GG, Severi G, Baglietto L, Maclean C, Offit K, Robson M, Joseph V, Gaudet M, John EM, Winqvist R, Pylkas K, Jukkola-Vuorinen A, Grip M, Andrulis I, Knight JA, Mulligan AM, O'Malley FP, Brinton LA, Sherman ME, Lissowska J, Chanock SJ, Hooning M, Martens JW, van den Ouweland AM, Collee JM, Hall P, Czene K, Cox A, Brock IW, Reed MW, Cross SS, Pharoah P, Dunning AM, Kang D, Yoo KY, Noh DY, Ahn SH, Jakubowska A, Lubinski J, Jaworska K, Durda K, Sangrajrang S, Gaborieau V, Brennan P, McKay J, Shen CY, Ding SL, Hsu HM, Yu JC, Anton-Culver H, Ziogas A, Ashworth A, Swerdlow A, Jones M, Orr N, Trentham-Dietz A, Egan K, Newcomb P, Titus-Ernstoff L, Easton D, Spurdle AB (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. Hum Mol Genet 20:4693-4706
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 x 10(-5)]. The association with ER-positive tumors was stronger for tumors of lower grade (case-only P= 6.7 x 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.