Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus

Posted on 2016-06-21 - 05:00
Abstract 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; ), 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 × 10-9), rs805510 (OR = 1.08, 95 % CI = 1.04–1.12, P = 2 × 10-5), and rs1871152 (OR = 1.04, 95 % CI = 1.02–1.06; P = 2 × 10-4) identified in the general populations, and rs113824616 (P = 7 × 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.


3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
AAPG Bulletin
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
Select your citation style and then place your mouse over the citation text to select it.



Usage metrics

Breast Cancer Research


Chenjie Zeng
Xingyi Guo
Jirong Long
Karoline Kuchenbaecker
Arnaud Droit
Kyriaki Michailidou
Maya Ghoussaini
Siddhartha Kar
Adam Freeman
John Hopper
Roger Milne
Manjeet Bolla
Qin Wang
Joe Dennis
Simona Agata
Shahana Ahmed
Kristiina Aittomäki
Irene Andrulis
Hoda Anton-Culver
Natalia Antonenkova
need help?