| Title: |
A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry |
| Authors: |
Middha, PK; Wang, X; Behrens, S; Bolla, MK; Wang, Q; Dennis, J; Michailidou, K; Ahearn, TU; Andrulis, IL; Anton-Culver, H; Arndt, V; Aronson, KJ; Auer, PL; Augustinsson, A; Baert, T; Freeman, LEB; Becher, H; Beckmann, MW; Benitez, J; Bojesen, SE; Brauch, H; Brenner, H; Brooks-Wilson, A; Campa, D; Canzian, F; Carracedo, A; Castelao, JE; Chanock, SJ; Chenevix-Trench, G; Cordina-Duverger, E; Couch, FJ; Cox, A; Cross, SS; Czene, K; Dossus, L; Dugue, P-A; Eliassen, AH; Eriksson, M; Evans, DG; Fasching, PA; Figueroa, J; Fletcher, O; Flyger, H; Gabrielson, M; Gago-Dominguez, M; Giles, GG; Gonzalez-Neira, A; Grassmann, F; Grundy, A; Guenel, P; Haiman, CA; Hakansson, N; Hall, P; Hamann, U; Hankinson, SE; Harkness, EF; Holleczek, B; Hoppe, R; Hopper, JL; Houlston, RS; Howell, A; Hunter, DJ; Ingvar, C; Isaksson, K; Jernstroem, H; John, EM; Jones, ME; Kaaks, R; Keeman, R; Kitahara, CM; Ko, Y-D; Koutros, S; Kurian, AW; Lacey, JV; Lambrechts, D; Larson, NL; Larsson, S; Le Marchand, L; Lejbkowicz, F; Li, S; Linet, M; Lissowska, J; Martinez, ME; Maurer, T; Mulligan, AM; Mulot, C; Murphy, RA; Newman, WG; Nielsen, SF; Nordestgaard, BG; Norman, A; O'Brien, KM; Olson, JE; Patel, AV; Prentice, R; Rees-Punia, E; Rennert, G; Rhenius, V; Ruddy, KJ; Sandler, DP; Scott, CG; Shah, MT; Shu, X-O; Smeets, A; Southey, MC; Stone, J; Tamimi, RM; Taylor, JA; Teras, LR; Tomczyk, K; Troester, MA; Truong, T; Vachon, CM; Wang, SS; Weinberg, CR; Wildiers, H; Willett, W; Winham, SJ; Wolk, A; Yang, X; Zamora, MP; Zheng, W; Ziogas, A; Dunning, AM; Pharoah, PDP; Garcia-Closas, M; Schmidt, MK; Kraft, P; Milne, RL; Lindstroem, S; Easton, DF; Chang-Claude, J |
| Publisher Information: |
BMC |
| Publication Year: |
2023 |
| Collection: |
The University of Melbourne: Digital Repository |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
1465-542X |
| Relation: |
https://hdl.handle.net/11343/345377 |
| Availability: |
https://hdl.handle.net/11343/345377 |
| Rights: |
https://creativecommons.org/licenses/by/4.0 ; CC BY |
| Accession Number: |
edsbas.B4013F23 |
| Database: |
BASE |