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

Roger L Milne; Mia M Gaudet; Amanda B Spurdle; Peter A Fasching; Fergus J Couch; Javier Benítez; José Ignacio Arias Pérez; M Pilar Zamora; Núria Malats; Isabel Dos Santos Silva; Lorna J Gibson; Olivia Fletcher; Nichola Johnson; Hoda Anton-Culver; Argyrios Ziogas; Jonine Figueroa; Louise Brinton; Mark E Sherman; Jolanta Lissowska; John L Hopper; Gillian S Dite; Carmel Apicella; Melissa C Southey; Alice J Sigurdson; Martha S Linet; Sara J Schonfeld; D Michal Freedman; Arto Mannermaa; Veli-Matti Kosma; Vesa Kataja; Päivi Auvinen; Irene L Andrulis; Gord Glendon; Julia A Knight; Nayana Weerasooriya; Angela Cox; Malcolm Wr Reed; Simon S Cross; Alison M Dunning; Shahana Ahmed; Mitul Shah; Hiltrud Brauch; Yon-Dschun Ko; Thomas Brüning; Diether Lambrechts; Joke Reumers; Ann Smeets; Stig Egil Bojesen; Børge G Nordestgaard; Henrik Flyger; GENICA Network

doi:http://dx.doi.org/10.1186/bcr2797

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

Roger L Milne, Mia M Gaudet, Amanda B Spurdle, Peter A Fasching, Fergus J Couch, Javier Benítez, José Ignacio Arias Pérez, M Pilar Zamora, Núria Malats, Isabel Dos Santos Silva, Lorna J Gibson, Olivia Fletcher, Nichola Johnson, Hoda Anton-Culver, Argyrios Ziogas, Jonine Figueroa, Louise Brinton, Mark E Sherman, Jolanta Lissowska, John L HopperGillian S Dite, Carmel Apicella, Melissa C Southey, Alice J Sigurdson, Martha S Linet, Sara J Schonfeld, D Michal Freedman, Arto Mannermaa, Veli-Matti Kosma, Vesa Kataja, Päivi Auvinen, Irene L Andrulis, Gord Glendon, Julia A Knight, Nayana Weerasooriya, Angela Cox, Malcolm Wr Reed, Simon S Cross, Alison M Dunning, Shahana Ahmed, Mitul Shah, Hiltrud Brauch, Yon-Dschun Ko, Thomas Brüning, Diether Lambrechts, Joke Reumers, Ann Smeets, Stig Egil Bojesen, Børge G Nordestgaard, Henrik Flyger, GENICA Network

73 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Breast Cancer Research (Online Edition)
Vol/bind	12
Udgave nummer	6
Sider (fra-til)	R110
ISSN	1465-5411
DOI	https://doi.org/10.1186/bcr2797
Status	Udgivet - 31 dec. 2010

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Citationsformater

Milne, R. L., Gaudet, M. M., Spurdle, A. B., Fasching, P. A., Couch, F. J., Benítez, J., Arias Pérez, J. I., Zamora, M. P., Malats, N., Dos Santos Silva, I., Gibson, L. J., Fletcher, O., Johnson, N., Anton-Culver, H., Ziogas, A., Figueroa, J., Brinton, L., Sherman, M. E., Lissowska, J., ... GENICA Network (2010). 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. Breast Cancer Research (Online Edition), 12(6), R110. https://doi.org/10.1186/bcr2797

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. / Milne, Roger L; Gaudet, Mia M; Spurdle, Amanda B et al.

I: Breast Cancer Research (Online Edition), Bind 12, Nr. 6, 31.12.2010, s. R110.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Milne, RL, Gaudet, MM, Spurdle, AB, Fasching, PA, Couch, FJ, Benítez, J, Arias Pérez, JI, Zamora, MP, Malats, N, Dos Santos Silva, I, Gibson, LJ, Fletcher, O, Johnson, N, Anton-Culver, H, Ziogas, A, Figueroa, J, Brinton, L, Sherman, ME, Lissowska, J, Hopper, JL, Dite, GS, Apicella, C, Southey, MC, Sigurdson, AJ, Linet, MS, Schonfeld, SJ, Freedman, DM, Mannermaa, A, Kosma, V-M, Kataja, V, Auvinen, P, Andrulis, IL, Glendon, G, Knight, JA, Weerasooriya, N, Cox, A, Reed, MW, Cross, SS, Dunning, AM, Ahmed, S, Shah, M, Brauch, H, Ko, Y-D, Brüning, T, Lambrechts, D, Reumers, J, Smeets, A, Bojesen, SE , Nordestgaard, BG, Flyger, H & GENICA Network 2010, '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', Breast Cancer Research (Online Edition), bind 12, nr. 6, s. R110. https://doi.org/10.1186/bcr2797

Milne RL, Gaudet MM, Spurdle AB, Fasching PA, Couch FJ, Benítez J et al. 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. Breast Cancer Research (Online Edition). 2010 dec. 31;12(6):R110. doi: http://dx.doi.org/10.1186/bcr2797

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title = "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",

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.",

author = "Milne, {Roger L} and Gaudet, {Mia M} and Spurdle, {Amanda B} and Fasching, {Peter A} and Couch, {Fergus J} and Javier Ben{\'i}tez and {Arias P{\'e}rez}, {Jos{\'e} Ignacio} and Zamora, {M Pilar} and N{\'u}ria Malats and {Dos Santos Silva}, Isabel and Gibson, {Lorna J} and Olivia Fletcher and Nichola Johnson and Hoda Anton-Culver and Argyrios Ziogas and Jonine Figueroa and Louise Brinton and Sherman, {Mark E} and Jolanta Lissowska and Hopper, {John L} and Dite, {Gillian S} and Carmel Apicella and Southey, {Melissa C} and Sigurdson, {Alice J} and Linet, {Martha S} and Schonfeld, {Sara J} and Freedman, {D Michal} and Arto Mannermaa and Veli-Matti Kosma and Vesa Kataja and P{\"a}ivi Auvinen and Andrulis, {Irene L} and Gord Glendon and Knight, {Julia A} and Nayana Weerasooriya and Angela Cox and Reed, {Malcolm Wr} and Cross, {Simon S} and Dunning, {Alison M} and Shahana Ahmed and Mitul Shah and Hiltrud Brauch and Yon-Dschun Ko and Thomas Br{\"u}ning and Diether Lambrechts and Joke Reumers and Ann Smeets and Bojesen, {Stig Egil} and Nordestgaard, {B{\o}rge G} and Henrik Flyger and B{\o}rge Nordestgaard",

year = "2010",

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day = "31",

doi = "http://dx.doi.org/10.1186/bcr2797",

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pages = "R110",

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TY - JOUR

T1 - 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

AU - Milne, Roger L

AU - Gaudet, Mia M

AU - Spurdle, Amanda B

AU - Fasching, Peter A

AU - Couch, Fergus J

AU - Benítez, Javier

AU - Arias Pérez, José Ignacio

AU - Zamora, M Pilar

AU - Malats, Núria

AU - Dos Santos Silva, Isabel

AU - Gibson, Lorna J

AU - Fletcher, Olivia

AU - Johnson, Nichola

AU - Anton-Culver, Hoda

AU - Ziogas, Argyrios

AU - Figueroa, Jonine

AU - Brinton, Louise

AU - Sherman, Mark E

AU - Lissowska, Jolanta

AU - Hopper, John L

AU - Dite, Gillian S

AU - Apicella, Carmel

AU - Southey, Melissa C

AU - Sigurdson, Alice J

AU - Linet, Martha S

AU - Schonfeld, Sara J

AU - Freedman, D Michal

AU - Mannermaa, Arto

AU - Kosma, Veli-Matti

AU - Kataja, Vesa

AU - Auvinen, Päivi

AU - Andrulis, Irene L

AU - Glendon, Gord

AU - Knight, Julia A

AU - Weerasooriya, Nayana

AU - Cox, Angela

AU - Reed, Malcolm Wr

AU - Cross, Simon S

AU - Dunning, Alison M

AU - Ahmed, Shahana

AU - Shah, Mitul

AU - Brauch, Hiltrud

AU - Ko, Yon-Dschun

AU - Brüning, Thomas

AU - Lambrechts, Diether

AU - Reumers, Joke

AU - Smeets, Ann

AU - Bojesen, Stig Egil

AU - Nordestgaard, Børge G

AU - Flyger, Henrik

AU - GENICA Network

PY - 2010/12/31

Y1 - 2010/12/31

N2 - 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.

AB - 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.

U2 - http://dx.doi.org/10.1186/bcr2797

DO - http://dx.doi.org/10.1186/bcr2797

M3 - Journal article

SN - 1465-5411

VL - 12

SP - R110

JO - Breast Cancer Research

JF - Breast Cancer Research

IS - 6

ER -