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Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2.

Authors :
Orr N
Dudbridge F
Dryden N
Maguire S
Novo D
Perrakis E
Johnson N
Ghoussaini M
Hopper JL
Southey MC
Apicella C
Stone J
Schmidt MK
Broeks A
Van't Veer LJ
Hogervorst FB
Fasching PA
Haeberle L
Ekici AB
Beckmann MW
Gibson L
Aitken Z
Warren H
Sawyer E
Tomlinson I
Kerin MJ
Miller N
Burwinkel B
Marme F
Schneeweiss A
Sohn C
Guénel P
Truong T
Cordina-Duverger E
Sanchez M
Bojesen SE
Nordestgaard BG
Nielsen SF
Flyger H
Benitez J
Zamora MP
Arias Perez JI
Menéndez P
Anton-Culver H
Neuhausen SL
Brenner H
Dieffenbach AK
Arndt V
Stegmaier C
Hamann U
Brauch H
Justenhoven C
Brüning T
Ko YD
Nevanlinna H
Aittomäki K
Blomqvist C
Khan S
Bogdanova N
Dörk T
Lindblom A
Margolin S
Mannermaa A
Kataja V
Kosma VM
Hartikainen JM
Chenevix-Trench G
Beesley J
Lambrechts D
Moisse M
Floris G
Beuselinck B
Chang-Claude J
Rudolph A
Seibold P
Flesch-Janys D
Radice P
Peterlongo P
Peissel B
Pensotti V
Couch FJ
Olson JE
Slettedahl S
Vachon C
Giles GG
Milne RL
McLean C
Haiman CA
Henderson BE
Schumacher F
Le Marchand L
Simard J
Goldberg MS
Labrèche F
Dumont M
Kristensen V
Alnæs GG
Nord S
Borresen-Dale AL
Zheng W
Deming-Halverson S
Shrubsole M
Long J
Winqvist R
Pylkäs K
Jukkola-Vuorinen A
Grip M
Andrulis IL
Knight JA
Glendon G
Tchatchou S
Devilee P
Tollenaar RA
Seynaeve CM
Van Asperen CJ
Garcia-Closas M
Figueroa J
Chanock SJ
Lissowska J
Czene K
Darabi H
Eriksson M
Klevebring D
Hooning MJ
Hollestelle A
van Deurzen CH
Kriege M
Hall P
Li J
Liu J
Humphreys K
Cox A
Cross SS
Reed MW
Pharoah PD
Dunning AM
Shah M
Perkins BJ
Jakubowska A
Lubinski J
Jaworska-Bieniek K
Durda K
Ashworth A
Swerdlow A
Jones M
Schoemaker MJ
Meindl A
Schmutzler RK
Olswold C
Slager S
Toland AE
Yannoukakos D
Muir K
Lophatananon A
Stewart-Brown S
Siriwanarangsan P
Matsuo K
Ito H
Iwata H
Ishiguro J
Wu AH
Tseng CC
Van Den Berg D
Stram DO
Teo SH
Yip CH
Kang P
Ikram MK
Shu XO
Lu W
Gao YT
Cai H
Kang D
Choi JY
Park SK
Noh DY
Hartman M
Miao H
Lim WY
Lee SC
Sangrajrang S
Gaborieau V
Brennan P
Mckay J
Wu PE
Hou MF
Yu JC
Shen CY
Blot W
Cai Q
Signorello LB
Luccarini C
Bayes C
Ahmed S
Maranian M
Healey CS
González-Neira A
Pita G
Alonso MR
Álvarez N
Herrero D
Tessier DC
Vincent D
Bacot F
Hunter DJ
Lindstrom S
Dennis J
Michailidou K
Bolla MK
Easton DF
dos Santos Silva I
Fletcher O
Peto J
Source :
Human molecular genetics [Hum Mol Genet] 2015 May 15; Vol. 24 (10), pp. 2966-84. Date of Electronic Publication: 2015 Feb 04.
Publication Year :
2015

Abstract

We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88-0.92]; P-value = 1.58 × 10(-25)). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans ∼14.5 kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08-1.17]; P-value = 7.89 × 10(-09)) and rs13294895 (OR = 1.09 [1.06-1.12]; P-value = 2.97 × 10(-11)). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06-1.18]; P-value = 2.77 × 10(-05)). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER-α, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis.<br /> (© The Author 2015. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1460-2083
Volume :
24
Issue :
10
Database :
MEDLINE
Journal :
Human molecular genetics
Publication Type :
Academic Journal
Accession number :
25652398
Full Text :
https://doi.org/10.1093/hmg/ddv035