Abstract
Candidate variant association studies havebeenlargely unsuccessful in identifyingcommonbreast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data werecombined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR 5 1.07, 95% confidence interval (CI) 5 1.04-1.10, P 5 2.9 3 1026], AKAP9-M463I at 7q21 (rs6964587, OR 5 1.05, 95% CI 5 1.03-1.07, P 5 1.7 3 1026) and NEK10-L513S at 3p24 (rs10510592, OR 5 1.10, 95% CI 5 1.07-1.12, P 5 5.1 3 10217). The first two associations reached genome-wide statistical significance in acombined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR 5 1.07 (95% CI 5 1.05-1.10, P 5 1.0 3 1028); for AKAP9-M463I, OR 5 1.05 (95% CI 5 1.04-1.07, P 5 2.0 3 10210). Further analysis of other common variants in these two regions suggested that intronic SNPsnearby are more strongly associated with disease risk.Wehave thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
Original language | English |
---|---|
Pages (from-to) | 6096-6111 |
Number of pages | 16 |
Journal | Human Molecular Genetics |
Volume | 23 |
Issue number | 22 |
DOIs | |
Publication status | Published - 15 Nov 2014 |
Externally published | Yes |
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In: Human Molecular Genetics, Vol. 23, No. 22, 15.11.2014, p. 6096-6111.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Common non-synonymous SNPs associated with breast cancer susceptibility
T2 - findings from the Breast Cancer Association Consortium
AU - Milne, Roger L
AU - Burwinkel, Barbara
AU - Michailidou, Kyriaki
AU - Arias Perez, Jose Ignacio
AU - Pilar Zamora, M.
AU - Menéndez-Rodríguez, Primitiva
AU - Hardisson, David
AU - Mendiola, Marta
AU - González-Neira, Anna
AU - Pita, Guillermo
AU - Rosario Alonso, M.
AU - Dennis, Joe
AU - Wang, Qin
AU - Bolla, Manjeet K.
AU - Swerdlow, Anthony J
AU - Ashworth, Alan
AU - Orr, Nick
AU - Schoemaker, Minouk
AU - Ko, Yon-Dschun
AU - Brauch, Hiltrud
AU - Hamann, Ute
AU - Andrulis, Irene L
AU - Knight, Julia A
AU - Glendon, Gord
AU - Tchatchou, Sandrine
AU - Matsuo, Keitaro
AU - Ito, Hidemi
AU - Iwata, Hiroji
AU - Tajima, Kazuo
AU - Li, Jingmei
AU - Brand, Judith S.
AU - Brenner, Hermann
AU - Dieffenbach, Aida Karina
AU - Arndt, Volker
AU - Stegmaier, Christa
AU - Lambrechts, Diether
AU - Peuteman, Gilian
AU - Christiaens, Marie Rose
AU - Smeets, Ann
AU - Jakubowska, Anna
AU - Lubinski, Jan
AU - Jaworska-Bieniek, Katarzyna
AU - Durda, Katazyna
AU - Hartman, Mikael
AU - Hui, Miao
AU - Lim, Wei Yen
AU - Chan, Ching Wan
AU - Marme, Federick
AU - Yang, Rongxi
AU - Bugert, Peter
AU - Lindblom, Annika
AU - Margolin, Sara
AU - García-Closas, Montserrat
AU - Chanock, Stephen J
AU - Lissowska, Jolanta
AU - Figueroa, Jonine D
AU - Bojesen, Stig E
AU - Nordestgaard, Børge G.
AU - Flyger, Henrik
AU - Hooning, Maartje J
AU - Kriege, Mieke
AU - van den Ouweland, Ans M W
AU - Koppert, Linetta B.
AU - Fletcher, Olivia
AU - Johnson, Nichola
AU - dos-Santos-Silva, Isabel
AU - Peto, Julian
AU - Zheng, Wei
AU - Deming-Halverson, Sandra
AU - Shrubsole, Martha J.
AU - Long, Jirong
AU - Chang-Claude, Jenny
AU - Rudolph, Anja
AU - Seibold, Petra
AU - Flesch-Janys, Dieter
AU - Winqvist, Robert
AU - Pylkäs, Katri
AU - Jukkola-Vuorinen, Arja
AU - Grip, Mervi
AU - Cox, Angela
AU - Cross, Simon S
AU - Reed, Malcolm W R
AU - Schmidt, Marjanka K.
AU - Broeks, Annegien
AU - Cornelissen, Sten
AU - Braaf, Linde
AU - Kang, Daehee
AU - Choi, Ji Yeob
AU - Park, Sue K.
AU - Noh, Dong-Young
AU - Simard, Jacques
AU - Dumont, Martine
AU - Goldberg, Mark S.
AU - Labrèche, France
AU - Fasching, Peter A.
AU - Hein, Alexander
AU - Ekici, Arif B
AU - Beckmann, Matthias W.
AU - Radice, Paolo
AU - Peterlongo, Paolo
AU - Azzollini, Jacopo
AU - Barile, Monica
AU - Sawyer, Elinor J
AU - Tomlinson, Ian P
AU - Kerin, Michael
AU - Miller, Nicola
AU - Hopper, John L.
AU - Schmidt, Daniel F.
AU - Makalic, Enes
AU - Southey, Melissa C.
AU - Teo, Soo-Hwang
AU - Yip, Cheng Har
AU - Sivanandan, Kavitta
AU - Tay, Wan Ting
AU - Shen, Chen-Yang
AU - Hsiung, Chia-Ni
AU - Yu, Jyh-Cherng
AU - Hou, Ming-Feng
AU - Guénel, Pascal
AU - Truong, Therese
AU - Sanchez, Marie
AU - Mulot, Claire
AU - Blot, William
AU - Cai, Qiuyin
AU - Nevanlinna, Heli
AU - Muranen, Taru A.
AU - Aittomäki, Kristiina
AU - Blomqvist, Carl
AU - Wu, Anna H
AU - Tseng, Chiu-Chen
AU - Berg, David
AU - Stram, Daniel O
AU - Bogdanova, Natalia
AU - Thilo Dörk, Dörk
AU - Muir, Kenneth
AU - Lophatananon, Artitaya
AU - Stewart-Brown, Sarah
AU - Siriwanarangsan, Pornthep
AU - Mannermaa, Arto
AU - Kataja, Vesa
AU - Kosma, Veli-Matti
AU - Hartikainen, Jaana M.
AU - Shu, Xiao-Ou
AU - Lu, Wei
AU - Gao, Yu-Tang
AU - Zhang, Ben Shan
AU - Couch, Fergus J
AU - Toland, Amanda E.
AU - Yannoukakos, Drakoulis
AU - Sangrajrang, Suleeporn
AU - McKay, James
AU - Wang, Xianshu
AU - Olson, Janet E
AU - Vachon, Celine M
AU - Purrington, Kristen S.
AU - Severi, Gianluca
AU - Baglietto, Laura
AU - Haiman, Christopher A
AU - Henderson, Brian E
AU - Schumacher, Fredrick
AU - Marchand, Loic Le
AU - Devilee, Peter
AU - Tollenaar, Robert A.E.M.
AU - Seynaeve, Caroline
AU - Czene, Kamila
AU - Eriksson, Mikael
AU - Humphreys, Keith
AU - Darabi, Hatef
AU - Ahmed, Shahana
AU - Shah, Mitul
AU - Pharoah, Paul D P
AU - Hall, Per
AU - Giles, Graham G.
AU - Benítez, Javier
AU - Dunning, Alison M
AU - Chenevix-Trench, Georgia
AU - Easton, Douglas F
AU - The GENICA Network
AU - kConFab Investigators
AU - Australian Ovarian Cancer Study Group (AOCS)
AU - The TNBCC
PY - 2014/11/15
Y1 - 2014/11/15
N2 - Candidate variant association studies havebeenlargely unsuccessful in identifyingcommonbreast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data werecombined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR 5 1.07, 95% confidence interval (CI) 5 1.04-1.10, P 5 2.9 3 1026], AKAP9-M463I at 7q21 (rs6964587, OR 5 1.05, 95% CI 5 1.03-1.07, P 5 1.7 3 1026) and NEK10-L513S at 3p24 (rs10510592, OR 5 1.10, 95% CI 5 1.07-1.12, P 5 5.1 3 10217). The first two associations reached genome-wide statistical significance in acombined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR 5 1.07 (95% CI 5 1.05-1.10, P 5 1.0 3 1028); for AKAP9-M463I, OR 5 1.05 (95% CI 5 1.04-1.07, P 5 2.0 3 10210). Further analysis of other common variants in these two regions suggested that intronic SNPsnearby are more strongly associated with disease risk.Wehave thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
AB - Candidate variant association studies havebeenlargely unsuccessful in identifyingcommonbreast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data werecombined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR 5 1.07, 95% confidence interval (CI) 5 1.04-1.10, P 5 2.9 3 1026], AKAP9-M463I at 7q21 (rs6964587, OR 5 1.05, 95% CI 5 1.03-1.07, P 5 1.7 3 1026) and NEK10-L513S at 3p24 (rs10510592, OR 5 1.10, 95% CI 5 1.07-1.12, P 5 5.1 3 10217). The first two associations reached genome-wide statistical significance in acombined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR 5 1.07 (95% CI 5 1.05-1.10, P 5 1.0 3 1028); for AKAP9-M463I, OR 5 1.05 (95% CI 5 1.04-1.07, P 5 2.0 3 10210). Further analysis of other common variants in these two regions suggested that intronic SNPsnearby are more strongly associated with disease risk.Wehave thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
UR - http://www.scopus.com/inward/record.url?scp=84959227849&partnerID=8YFLogxK
U2 - 10.1093/hmg/ddu311
DO - 10.1093/hmg/ddu311
M3 - Article
C2 - 24943594
AN - SCOPUS:84959227849
SN - 0964-6906
VL - 23
SP - 6096
EP - 6111
JO - Human Molecular Genetics
JF - Human Molecular Genetics
IS - 22
ER -