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

Authors :
Zeng C
Guo X
Long J
Kuchenbaecker KB
Droit A
Michailidou K
Ghoussaini M
Kar S
Freeman A
Hopper JL
Milne RL
Bolla MK
Wang Q
Dennis J
Agata S
Ahmed S
Aittomäki K
Andrulis IL
Anton-Culver H
Antonenkova NN
Arason A
Arndt V
Arun BK
Arver B
Bacot F
Barrowdale D
Baynes C
Beeghly-Fadiel A
Benitez J
Bermisheva M
Blomqvist C
Blot WJ
Bogdanova NV
Bojesen SE
Bonanni B
Borresen-Dale AL
Brand JS
Brauch H
Brennan P
Brenner H
Broeks A
Brüning T
Burwinkel B
Buys SS
Cai Q
Caldes T
Campbell I
Carpenter J
Chang-Claude J
Choi JY
Claes KB
Clarke C
Cox A
Cross SS
Czene K
Daly MB
de la Hoya M
De Leeneer K
Devilee P
Diez O
Domchek SM
Doody M
Dorfling CM
Dörk T
Dos-Santos-Silva I
Dumont M
Dwek M
Dworniczak B
Egan K
Eilber U
Einbeigi Z
Ejlertsen B
Ellis S
Frost D
Lalloo F
Fasching PA
Figueroa J
Flyger H
Friedlander M
Friedman E
Gambino G
Gao YT
Garber J
García-Closas M
Gehrig A
Damiola F
Lesueur F
Mazoyer S
Stoppa-Lyonnet D
Giles GG
Godwin AK
Goldgar DE
González-Neira A
Greene MH
Guénel P
Haeberle L
Haiman CA
Hallberg E
Hamann U
Hansen TV
Hart S
Hartikainen JM
Hartman M
Hassan N
Healey S
Hogervorst FB
Verhoef S
Hendricks CB
Hillemanns P
Hollestelle A
Hulick PJ
Hunter DJ
Imyanitov EN
Isaacs C
Ito H
Jakubowska A
Janavicius R
Jaworska-Bieniek K
Jensen UB
John EM
Joly Beauparlant C
Jones M
Kabisch M
Kang D
Karlan BY
Kauppila S
Kerin MJ
Khan S
Khusnutdinova E
Knight JA
Konstantopoulou I
Kraft P
Kwong A
Laitman Y
Lambrechts D
Lazaro C
Le Marchand L
Lee CN
Lee MH
Lester J
Li J
Liljegren A
Lindblom A
Lophatananon A
Lubinski J
Mai PL
Mannermaa A
Manoukian S
Margolin S
Marme F
Matsuo K
McGuffog L
Meindl A
Menegaux F
Montagna M
Muir K
Mulligan AM
Nathanson KL
Neuhausen SL
Nevanlinna H
Newcomb PA
Nord S
Nussbaum RL
Offit K
Olah E
Olopade OI
Olswold C
Osorio A
Papi L
Park-Simon TW
Paulsson-Karlsson Y
Peeters S
Peissel B
Peterlongo P
Peto J
Pfeiler G
Phelan CM
Presneau N
Radice P
Rahman N
Ramus SJ
Rashid MU
Rennert G
Rhiem K
Rudolph A
Salani R
Sangrajrang S
Sawyer EJ
Schmidt MK
Schmutzler RK
Schoemaker MJ
Schürmann P
Seynaeve C
Shen CY
Shrubsole MJ
Shu XO
Sigurdson A
Singer CF
Slager S
Soucy P
Southey M
Steinemann D
Swerdlow A
Szabo CI
Tchatchou S
Teixeira MR
Teo SH
Terry MB
Tessier DC
Teulé A
Thomassen M
Tihomirova L
Tischkowitz M
Toland AE
Tung N
Turnbull C
van den Ouweland AM
van Rensburg EJ
Ven den Berg D
Vijai J
Wang-Gohrke S
Weitzel JN
Whittemore AS
Winqvist R
Wong TY
Wu AH
Yannoukakos D
Yu JC
Pharoah PD
Hall P
Chenevix-Trench G
Dunning AM
Simard J
Couch FJ
Antoniou AC
Easton DF
Zheng W
Source :
Breast cancer research : BCR [Breast Cancer Res] 2016 Jun 21; Vol. 18 (1), pp. 64. Date of Electronic Publication: 2016 Jun 21.
Publication Year :
2016

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.<br />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.<br />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.<br />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.

Details

Language :
English
ISSN :
1465-542X
Volume :
18
Issue :
1
Database :
MEDLINE
Journal :
Breast cancer research : BCR
Publication Type :
Academic Journal
Accession number :
27459855
Full Text :
https://doi.org/10.1186/s13058-016-0718-0