2026-04-13T06:52:57Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1268382025-12-05T12:43:08Zcom_2072_1057col_2072_478916col_2072_478917

00925njm 22002777a 4500 dc Lázaro García, Conxi author Teulé-Vega, Àlex author Epidemiological study of BRCA1 & BRCA2 Mutation Carriers (EMBRACE) author Genetic Modifiers of Cancer Risk in BRCA1/2 Mutation Carriers (GEMO) author Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON) author KConFab Investigators author AOCS Investigators author 2018-12-10T12:42:29Z 2018-12-10T12:42:29Z 2016-06-21 2018-07-25T07:47:46Z Background: Multiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk. Method: We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300 imputed genetic variants in 48,155 cases and 43,612 controls of European descent, 6269 cases and 6624 controls of East Asian descent and 1116 cases and 932 controls of African descent in the Breast Cancer Association Consortium (BCAC; http://bcac.ccge.medschl.cam.ac.uk/), and in 15,252 BRCA1 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Stepwise regression analyses were performed to identify independent association signals. Data from the Encyclopedia of DNA Elements project (ENCODE) and the Cancer Genome Atlas (TCGA) were used for functional annotation. Results: Analysis of data from European descendants found evidence for four independent association signals at 12p11, represented by rs7297051 (odds ratio (OR) = 1.09, 95 % confidence interval (CI) = 1.06-1.12; P = 3 x 10(-9)), rs805510 (OR = 1.08, 95 % CI = 1.04-1.12, P = 2 x 10(-5)), and rs1871152 (OR = 1.04, 95 % CI = 1.02-1.06; P = 2 x 10(-4)) identified in the general populations, and rs113824616 (P = 7 x 10(-5)) identified in the meta-analysis of BCAC ER-negative cases and BRCA1 mutation carriers. SNPs rs7297051, rs805510 and rs113824616 were also associated with breast cancer risk at P < 0.05 in East Asians, but none of the associations were statistically significant in African descendants. Multiple candidate functional variants are located in putative enhancer sequences. Chromatin interaction data suggested that PTHLH was the likely target gene of these enhancers. Of the six variants with the strongest evidence of potential functionality, rs11049453 was statistically significantly associated with the expression of PTHLH and its nearby gene CCDC91 at P < 0.05. Conclusion: This study identified four independent association signals at 12p11 and revealed potentially functional variants, providing additional insights into the underlying biological mechanism(s) for the association observed between variants at 12p11 and breast cancer risk. Càncer de mama Genètica Breast cancer Genetics Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus