Introduction: Several common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the Breast Cancer Association Consortium.Methods: We evaluated two-way interactions between each of age at menarche, ever having had a live birth, number of live births, age at first birth and body mass index (BMI) and each of 12 single nucleotide polymorphisms (SNPs) (10q26-rs2981582 (FGFR2), 8q24-rs13281615, 11p15-rs3817198 (LSP1), 5q11-rs889312 (MAP3K1), 16q12-rs3803662 (TOX3), 2q35-rs13387042, 5p12-rs10941679 (MRPS30), 17q23-rs6504950 (COX11), 3p24-rs4973768 (SLC4A7), CASP8-rs17468277, TGFB1-rs1982073 and ESR1-rs3020314). Interactions were tested for by fitting logistic regression models including per-allele and linear trend main effects for SNPs and risk factors, respectively, and single-parameter interaction terms for linear departure from independent multiplicative effects.Results: These analyses were applied to data for up to 26,349 invasive breast cancer cases and up to 32,208 controls from 21 case-control studies. No statistical evidence of interaction was observed beyond that expected by chance. Analyses were repeated using data from 11 population-based studies, and results were very similar.Conclusions: The relative risks for breast cancer associated with the common susceptibility variants identified to date do not appear to vary across women with different reproductive histories or body mass index (BMI). The assumption of multiplicative combined effects for these established genetic and other risk factors in risk prediction models appears justified. © 2010 Milne et al.; licensee BioMed Central Ltd.

Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: A combined case-control study

BAGLIETTO, LAURA;
2010-01-01

Abstract

Introduction: Several common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the Breast Cancer Association Consortium.Methods: We evaluated two-way interactions between each of age at menarche, ever having had a live birth, number of live births, age at first birth and body mass index (BMI) and each of 12 single nucleotide polymorphisms (SNPs) (10q26-rs2981582 (FGFR2), 8q24-rs13281615, 11p15-rs3817198 (LSP1), 5q11-rs889312 (MAP3K1), 16q12-rs3803662 (TOX3), 2q35-rs13387042, 5p12-rs10941679 (MRPS30), 17q23-rs6504950 (COX11), 3p24-rs4973768 (SLC4A7), CASP8-rs17468277, TGFB1-rs1982073 and ESR1-rs3020314). Interactions were tested for by fitting logistic regression models including per-allele and linear trend main effects for SNPs and risk factors, respectively, and single-parameter interaction terms for linear departure from independent multiplicative effects.Results: These analyses were applied to data for up to 26,349 invasive breast cancer cases and up to 32,208 controls from 21 case-control studies. No statistical evidence of interaction was observed beyond that expected by chance. Analyses were repeated using data from 11 population-based studies, and results were very similar.Conclusions: The relative risks for breast cancer associated with the common susceptibility variants identified to date do not appear to vary across women with different reproductive histories or body mass index (BMI). The assumption of multiplicative combined effects for these established genetic and other risk factors in risk prediction models appears justified. © 2010 Milne et al.; licensee BioMed Central Ltd.
2010
Milne, Roger L; Gaudet, Mia M.; Spurdle, Amanda B.; Fasching, Peter A.; Couch, Fergus J.; Benítez, Javier; Arias Pérez, José Ignacio; Zamora, M. Pilar; Malats, Núria; dos Santos Silva, Isabel; Gibson, Lorna J.; Fletcher, Olivia; Johnson, Nichola; Anton Culver, Hoda; Ziogas, Argyrios; Figueroa, Jonine; Brinton, Louise; Sherman, Mark E.; Lissowska, Jolanta; Hopper, John L.; Dite, Gillian S.; Apicella, Carmel; Southey, Melissa C.; Sigurdson, Alice J.; Linet, Martha S.; Schonfeld, Sara J.; Freedman, D. Michal; Mannermaa, Arto; Kosma, Veli Matti; Kataja, Vesa; Auvinen, Päivi; Andrulis, Irene L.; Glendon, Gord; Knight, Julia A.; Weerasooriya, Nayana; Cox, Angela; Reed, Malcolm W. R.; Cross, Simon S.; Dunning, Alison M.; Ahmed, Shahana; Shah, Mitul; Brauch, Hiltrud; Ko, Yon Dschun; Brüning, Thomas; Brauch, Hiltrud; Lambrechts, Diether; Reumers, Joke; Smeets, Ann; Wang Gohrke, Shan; Hall, Per; Czene, Kamila; Liu, Jianjun; Irwanto, Astrid K.; Chenevix Trench, Georgia; Holland, Helene; Fab, Kcon; Giles, Graham G.; Baglietto, Laura; Severi, Gianluca; Bojensen, Stig E.; Nordestgaard, Børge G.; Flyger, Henrik; John, Esther M.; West, Dee W.; Whittemore, Alice S.; Vachon, Celine; Olson, Janet E.; Fredericksen, Zachary; Kosel, Matthew; Hein, Rebecca; Vrieling, Alina; Flesch Janys, Dieter; Heinz, Judith; Beckmann, Matthias W.; Heusinger, Katharina; Ekici, Arif B.; Haeberle, Lothar; Humphreys, Manjeet K.; Morrison, Jonathan; Easton, Doug F.; Pharoah, Paul D.; García Closas, Montserrat; Goode, Ellen L.; Chang Claude, Jenny
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/817460
Citazioni
  • ???jsp.display-item.citation.pmc??? 53
  • Scopus 81
  • ???jsp.display-item.citation.isi??? ND
social impact