A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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; Nielsen, Sune F.; Nordestgaard, Børge G.; CTS Consortium; ABCTB Investigators; kConFab Investigators.
I: Breast cancer research : BCR, Bind 25, Nr. 1, 93, 2023.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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 - Nielsen, Sune F.
AU - Nordestgaard, Børge G.
AU - CTS Consortium
AU - ABCTB Investigators
AU - kConFab Investigators
N1 - Publisher Copyright: © 2023. BioMed Central Ltd., part of Springer Nature.
PY - 2023
Y1 - 2023
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 - Breast cancer
KW - European ancestry
KW - Gene-environment interactions
KW - Genetic epidemiology
U2 - 10.1186/s13058-023-01691-8
DO - 10.1186/s13058-023-01691-8
M3 - Journal article
C2 - 37559094
AN - SCOPUS:85167531154
VL - 25
JO - Breast Cancer Research
JF - Breast Cancer Research
SN - 1465-5411
IS - 1
M1 - 93
ER -
ID: 362738798