A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
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A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry. / Middha, Pooja; Wang, Xiaoliang; Behrens, Sabine; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Michailidou, Kyriaki; Ahearn, Thomas U; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Aronson, Kristan J; Auer, Paul L; Augustinsson, Annelie; Baert, Thaïs; Freeman, Laura E Beane; Becher, Heiko; Beckmann, Matthias W; Benitez, Javier; Bojesen, Stig E; Brauch, Hiltrud; Brenner, Hermann; Brooks-Wilson, Angela; Campa, Daniele; Canzian, Federico; Carracedo, Angel; Castelao, Jose E; Chanock, Stephen J; Chenevix-Trench, Georgia; Cordina-Duverger, Emilie; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Dossus, Laure; Dugué, Pierre-Antoine; Eliassen, A Heather; Eriksson, Mikael; Evans, D Gareth; Fasching, Peter A; Figueroa, Jonine D; Fletcher, Olivia; Flyger, Henrik; Gabrielson, Marike; Gago-Dominguez, Manuela; Giles, Graham G; González-Neira, Anna; Grassmann, Felix; Grundy, Anne; Guénel, Pascal; Haiman, Christopher A; Håkansson, Niclas; Hall, Per; Hamann, Ute; Hankinson, Susan E; Harkness, Elaine F; Holleczek, Bernd; Hoppe, Reiner; Hopper, John L; Houlston, Richard S; Howell, Anthony; Hunter, David J; Ingvar, Christian; Isaksson, Karolin; Jernström, Helena; John, Esther M; Jones, Michael E; Kaaks, Rudolf; Keeman, Renske; Kitahara, Cari M; Ko, Yon-Dschun; Koutros, Stella; Kurian, Allison W; Lacey, James V; Lambrechts, Diether; Larson, Nicole L; Larsson, Susanna; Le Marchand, Loic; Lejbkowicz, Flavio; Li, Shuai; Linet, Martha; Lissowska, Jolanta; Martinez, Maria Elena; Maurer, Tabea; Mulligan, Anna Marie; Mulot, Claire; Murphy, Rachel A; Newman, William G; Nielsen, Sune F; Nordestgaard, Børge G; Norman, Aaron; O'Brien, Katie M; Olson, Janet E; Patel, Alpa V; Prentice, Ross; Rees-Punia, Erika; Rennert, Gad; Rhenius, Valerie; Ruddy, Kathryn J; Sandler, Dale P; Scott, Christopher G; Shah, Mitul; Shu, Xiao-Ou; Smeets, Ann; Southey, Melissa C; Stone, Jennifer; Tamimi, Rulla M; Taylor, Jack A; Teras, Lauren R; Tomczyk, Katarzyna; Troester, Melissa A; Truong, Thérèse; Vachon, Celine M; Wang, Sophia S; Weinberg, Clarice R; Wildiers, Hans; Willett, Walter; Winham, Stacey J; Wolk, Alicja; Yang, Xiaohong R; Zamora, M Pilar; Zheng, Wei; Ziogas, Argyrios; Dunning, Alison M; Pharoah, Paul D P; García-Closas, Montserrat; Schmidt, Marjanka K; Kraft, Peter; Milne, Roger L; Lindström, Sara; Easton, Douglas F; Chang-Claude, Jenny; CTS Consortium; ABCTB Investigators; KConFab Investigators.
In: BREAST CANCER RES, Vol. 25, No. 1, 93, 09.08.2023.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
AU - Middha, Pooja
AU - Wang, Xiaoliang
AU - Behrens, Sabine
AU - Bolla, Manjeet K
AU - Wang, Qin
AU - Dennis, Joe
AU - Michailidou, Kyriaki
AU - Ahearn, Thomas U
AU - Andrulis, Irene L
AU - Anton-Culver, Hoda
AU - Arndt, Volker
AU - Aronson, Kristan J
AU - Auer, Paul L
AU - Augustinsson, Annelie
AU - Baert, Thaïs
AU - Freeman, Laura E Beane
AU - Becher, Heiko
AU - Beckmann, Matthias W
AU - Benitez, Javier
AU - Bojesen, Stig E
AU - Brauch, Hiltrud
AU - Brenner, Hermann
AU - Brooks-Wilson, Angela
AU - Campa, Daniele
AU - Canzian, Federico
AU - Carracedo, Angel
AU - Castelao, Jose E
AU - Chanock, Stephen J
AU - Chenevix-Trench, Georgia
AU - Cordina-Duverger, Emilie
AU - Couch, Fergus J
AU - Cox, Angela
AU - Cross, Simon S
AU - Czene, Kamila
AU - Dossus, Laure
AU - Dugué, Pierre-Antoine
AU - Eliassen, A Heather
AU - Eriksson, Mikael
AU - Evans, D Gareth
AU - Fasching, Peter A
AU - Figueroa, Jonine D
AU - Fletcher, Olivia
AU - Flyger, Henrik
AU - Gabrielson, Marike
AU - Gago-Dominguez, Manuela
AU - Giles, Graham G
AU - González-Neira, Anna
AU - Grassmann, Felix
AU - Grundy, Anne
AU - Guénel, Pascal
AU - Haiman, Christopher A
AU - Håkansson, Niclas
AU - Hall, Per
AU - Hamann, Ute
AU - Hankinson, Susan E
AU - Harkness, Elaine F
AU - Holleczek, Bernd
AU - Hoppe, Reiner
AU - Hopper, John L
AU - Houlston, Richard S
AU - Howell, Anthony
AU - Hunter, David J
AU - Ingvar, Christian
AU - Isaksson, Karolin
AU - Jernström, Helena
AU - John, Esther M
AU - Jones, Michael E
AU - Kaaks, Rudolf
AU - Keeman, Renske
AU - Kitahara, Cari M
AU - Ko, Yon-Dschun
AU - Koutros, Stella
AU - Kurian, Allison W
AU - Lacey, James V
AU - Lambrechts, Diether
AU - Larson, Nicole L
AU - Larsson, Susanna
AU - Le Marchand, Loic
AU - Lejbkowicz, Flavio
AU - Li, Shuai
AU - Linet, Martha
AU - Lissowska, Jolanta
AU - Martinez, Maria Elena
AU - Maurer, Tabea
AU - Mulligan, Anna Marie
AU - Mulot, Claire
AU - Murphy, Rachel A
AU - Newman, William G
AU - Nielsen, Sune F
AU - Nordestgaard, Børge G
AU - Norman, Aaron
AU - O'Brien, Katie M
AU - Olson, Janet E
AU - Patel, Alpa V
AU - Prentice, Ross
AU - Rees-Punia, Erika
AU - Rennert, Gad
AU - Rhenius, Valerie
AU - Ruddy, Kathryn J
AU - Sandler, Dale P
AU - Scott, Christopher G
AU - Shah, Mitul
AU - Shu, Xiao-Ou
AU - Smeets, Ann
AU - Southey, Melissa C
AU - Stone, Jennifer
AU - Tamimi, Rulla M
AU - Taylor, Jack A
AU - Teras, Lauren R
AU - Tomczyk, Katarzyna
AU - Troester, Melissa A
AU - Truong, Thérèse
AU - Vachon, Celine M
AU - Wang, Sophia S
AU - Weinberg, Clarice R
AU - Wildiers, Hans
AU - Willett, Walter
AU - Winham, Stacey J
AU - Wolk, Alicja
AU - Yang, Xiaohong R
AU - Zamora, M Pilar
AU - Zheng, Wei
AU - Ziogas, Argyrios
AU - Dunning, Alison M
AU - Pharoah, Paul D P
AU - García-Closas, Montserrat
AU - Schmidt, Marjanka K
AU - Kraft, Peter
AU - Milne, Roger L
AU - Lindström, Sara
AU - Easton, Douglas F
AU - Chang-Claude, Jenny
AU - CTS Consortium
AU - ABCTB Investigators
AU - KConFab Investigators
N1 - © 2023. BioMed Central Ltd., part of Springer Nature.
PY - 2023/8/9
Y1 - 2023/8/9
N2 - BACKGROUND: Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.METHODS: Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.RESULTS: Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94).CONCLUSIONS: Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
AB - BACKGROUND: Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.METHODS: Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.RESULTS: Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94).CONCLUSIONS: Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
KW - Adult
KW - Female
KW - Humans
KW - Gene-Environment Interaction
KW - Genetic Predisposition to Disease
KW - Breast Neoplasms/etiology
KW - Bayes Theorem
KW - Genome-Wide Association Study
KW - Risk Factors
KW - Polymorphism, Single Nucleotide
KW - Case-Control Studies
U2 - 10.1186/s13058-023-01691-8
DO - 10.1186/s13058-023-01691-8
M3 - SCORING: Journal article
C2 - 37559094
VL - 25
JO - BREAST CANCER RES
JF - BREAST CANCER RES
SN - 1465-5411
IS - 1
M1 - 93
ER -