Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium

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Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium. / Joshi, Amit D; Lindström, Sara; Hüsing, Anika; Barrdahl, Myrto; VanderWeele, Tyler J; Campa, Daniele; Canzian, Federico; Gaudet, Mia M; Figueroa, Jonine D; Baglietto, Laura; Berg, Christine D; Buring, Julie E; Chanock, Stephen J; Chirlaque, María-Dolores; Diver, W Ryan; Dossus, Laure; Giles, Graham G; Haiman, Christopher A; Hankinson, Susan E; Henderson, Brian E; Hoover, Robert N; Hunter, David J; Isaacs, Claudine; Kaaks, Rudolf; Kolonel, Laurence N; Krogh, Vittorio; Le Marchand, Loic; Lee, I-Min; Lund, Eiliv; McCarty, Catherine A; Overvad, Kim; Peeters, Petra H; Riboli, Elio; Schumacher, Fredrick; Severi, Gianluca; Stram, Daniel O; Sund, Malin; Thun, Michael J; Travis, Ruth C; Trichopoulos, Dimitrios; Willett, Walter C; Zhang, Shumin; Ziegler, Regina G; Kraft, Peter; on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3).

In: American Journal of Epidemiology, Vol. 180, No. 10, 15.11.2014, p. 1018-27.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Joshi, AD, Lindström, S, Hüsing, A, Barrdahl, M, VanderWeele, TJ, Campa, D, Canzian, F, Gaudet, MM, Figueroa, JD, Baglietto, L, Berg, CD, Buring, JE, Chanock, SJ, Chirlaque, M-D, Diver, WR, Dossus, L, Giles, GG, Haiman, CA, Hankinson, SE, Henderson, BE, Hoover, RN, Hunter, DJ, Isaacs, C, Kaaks, R, Kolonel, LN, Krogh, V, Le Marchand, L, Lee, I-M, Lund, E, McCarty, CA, Overvad, K, Peeters, PH, Riboli, E, Schumacher, F, Severi, G, Stram, DO, Sund, M, Thun, MJ, Travis, RC, Trichopoulos, D, Willett, WC, Zhang, S, Ziegler, RG, Kraft, P & on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3) 2014, 'Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium', American Journal of Epidemiology, vol. 180, no. 10, pp. 1018-27. https://doi.org/10.1093/aje/kwu214

APA

Joshi, A. D., Lindström, S., Hüsing, A., Barrdahl, M., VanderWeele, T. J., Campa, D., Canzian, F., Gaudet, M. M., Figueroa, J. D., Baglietto, L., Berg, C. D., Buring, J. E., Chanock, S. J., Chirlaque, M-D., Diver, W. R., Dossus, L., Giles, G. G., Haiman, C. A., Hankinson, S. E., ... on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3) (2014). Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium. American Journal of Epidemiology, 180(10), 1018-27. https://doi.org/10.1093/aje/kwu214

CBE

Joshi AD, Lindström S, Hüsing A, Barrdahl M, VanderWeele TJ, Campa D, Canzian F, Gaudet MM, Figueroa JD, Baglietto L, Berg CD, Buring JE, Chanock SJ, Chirlaque M-D, Diver WR, Dossus L, Giles GG, Haiman CA, Hankinson SE, Henderson BE, Hoover RN, Hunter DJ, Isaacs C, Kaaks R, Kolonel LN, Krogh V, Le Marchand L, Lee I-M, Lund E, McCarty CA, Overvad K, Peeters PH, Riboli E, Schumacher F, Severi G, Stram DO, Sund M, Thun MJ, Travis RC, Trichopoulos D, Willett WC, Zhang S, Ziegler RG, Kraft P, on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3). 2014. Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium. American Journal of Epidemiology. 180(10):1018-27. https://doi.org/10.1093/aje/kwu214

MLA

Vancouver

Author

Joshi, Amit D ; Lindström, Sara ; Hüsing, Anika ; Barrdahl, Myrto ; VanderWeele, Tyler J ; Campa, Daniele ; Canzian, Federico ; Gaudet, Mia M ; Figueroa, Jonine D ; Baglietto, Laura ; Berg, Christine D ; Buring, Julie E ; Chanock, Stephen J ; Chirlaque, María-Dolores ; Diver, W Ryan ; Dossus, Laure ; Giles, Graham G ; Haiman, Christopher A ; Hankinson, Susan E ; Henderson, Brian E ; Hoover, Robert N ; Hunter, David J ; Isaacs, Claudine ; Kaaks, Rudolf ; Kolonel, Laurence N ; Krogh, Vittorio ; Le Marchand, Loic ; Lee, I-Min ; Lund, Eiliv ; McCarty, Catherine A ; Overvad, Kim ; Peeters, Petra H ; Riboli, Elio ; Schumacher, Fredrick ; Severi, Gianluca ; Stram, Daniel O ; Sund, Malin ; Thun, Michael J ; Travis, Ruth C ; Trichopoulos, Dimitrios ; Willett, Walter C ; Zhang, Shumin ; Ziegler, Regina G ; Kraft, Peter ; on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3). / Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium. In: American Journal of Epidemiology. 2014 ; Vol. 180, No. 10. pp. 1018-27.

Bibtex

@article{fe5700ae815446a1a1e2a3febce81254,
title = "Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium",
abstract = "Additive interactions can have public health and etiological implications but are infrequently reported. We assessed departures from additivity on the absolute risk scale between 9 established breast cancer risk factors and 23 susceptibility single-nucleotide polymorphisms (SNPs) identified from genome-wide association studies among 10,146 non-Hispanic white breast cancer cases and 12,760 controls within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium. We estimated the relative excess risk due to interaction and its 95% confidence interval for each pairwise combination of SNPs and nongenetic risk factors using age- and cohort-adjusted logistic regression models. After correction for multiple comparisons, we identified a statistically significant relative excess risk due to interaction (uncorrected P = 4.51 × 10(-5)) between a SNP in the DNA repair protein RAD51 homolog 2 gene (RAD51L1; rs10483813) and body mass index (weight (kg)/height (m)(2)). We also compared additive and multiplicative polygenic risk prediction models using per-allele odds ratio estimates from previous studies for breast-cancer susceptibility SNPs and observed that the multiplicative model had a substantially better goodness of fit than the additive model.",
author = "Joshi, {Amit D} and Sara Lindstr{\"o}m and Anika H{\"u}sing and Myrto Barrdahl and VanderWeele, {Tyler J} and Daniele Campa and Federico Canzian and Gaudet, {Mia M} and Figueroa, {Jonine D} and Laura Baglietto and Berg, {Christine D} and Buring, {Julie E} and Chanock, {Stephen J} and Mar{\'i}a-Dolores Chirlaque and Diver, {W Ryan} and Laure Dossus and Giles, {Graham G} and Haiman, {Christopher A} and Hankinson, {Susan E} and Henderson, {Brian E} and Hoover, {Robert N} and Hunter, {David J} and Claudine Isaacs and Rudolf Kaaks and Kolonel, {Laurence N} and Vittorio Krogh and {Le Marchand}, Loic and I-Min Lee and Eiliv Lund and McCarty, {Catherine A} and Kim Overvad and Peeters, {Petra H} and Elio Riboli and Fredrick Schumacher and Gianluca Severi and Stram, {Daniel O} and Malin Sund and Thun, {Michael J} and Travis, {Ruth C} and Dimitrios Trichopoulos and Willett, {Walter C} and Shumin Zhang and Ziegler, {Regina G} and Peter Kraft and {on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3)}",
note = "{\textcopyright} The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.",
year = "2014",
month = nov,
day = "15",
doi = "10.1093/aje/kwu214",
language = "English",
volume = "180",
pages = "1018--27",
journal = "American Journal of Epidemiology",
issn = "0002-9262",
publisher = "Oxford University Press",
number = "10",

}

RIS

TY - JOUR

T1 - Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium

AU - Joshi, Amit D

AU - Lindström, Sara

AU - Hüsing, Anika

AU - Barrdahl, Myrto

AU - VanderWeele, Tyler J

AU - Campa, Daniele

AU - Canzian, Federico

AU - Gaudet, Mia M

AU - Figueroa, Jonine D

AU - Baglietto, Laura

AU - Berg, Christine D

AU - Buring, Julie E

AU - Chanock, Stephen J

AU - Chirlaque, María-Dolores

AU - Diver, W Ryan

AU - Dossus, Laure

AU - Giles, Graham G

AU - Haiman, Christopher A

AU - Hankinson, Susan E

AU - Henderson, Brian E

AU - Hoover, Robert N

AU - Hunter, David J

AU - Isaacs, Claudine

AU - Kaaks, Rudolf

AU - Kolonel, Laurence N

AU - Krogh, Vittorio

AU - Le Marchand, Loic

AU - Lee, I-Min

AU - Lund, Eiliv

AU - McCarty, Catherine A

AU - Overvad, Kim

AU - Peeters, Petra H

AU - Riboli, Elio

AU - Schumacher, Fredrick

AU - Severi, Gianluca

AU - Stram, Daniel O

AU - Sund, Malin

AU - Thun, Michael J

AU - Travis, Ruth C

AU - Trichopoulos, Dimitrios

AU - Willett, Walter C

AU - Zhang, Shumin

AU - Ziegler, Regina G

AU - Kraft, Peter

AU - on behalf of the Breast and Prostate Cancer Cohort Consortium (BPC3)

N1 - © The Author 2014. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

PY - 2014/11/15

Y1 - 2014/11/15

N2 - Additive interactions can have public health and etiological implications but are infrequently reported. We assessed departures from additivity on the absolute risk scale between 9 established breast cancer risk factors and 23 susceptibility single-nucleotide polymorphisms (SNPs) identified from genome-wide association studies among 10,146 non-Hispanic white breast cancer cases and 12,760 controls within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium. We estimated the relative excess risk due to interaction and its 95% confidence interval for each pairwise combination of SNPs and nongenetic risk factors using age- and cohort-adjusted logistic regression models. After correction for multiple comparisons, we identified a statistically significant relative excess risk due to interaction (uncorrected P = 4.51 × 10(-5)) between a SNP in the DNA repair protein RAD51 homolog 2 gene (RAD51L1; rs10483813) and body mass index (weight (kg)/height (m)(2)). We also compared additive and multiplicative polygenic risk prediction models using per-allele odds ratio estimates from previous studies for breast-cancer susceptibility SNPs and observed that the multiplicative model had a substantially better goodness of fit than the additive model.

AB - Additive interactions can have public health and etiological implications but are infrequently reported. We assessed departures from additivity on the absolute risk scale between 9 established breast cancer risk factors and 23 susceptibility single-nucleotide polymorphisms (SNPs) identified from genome-wide association studies among 10,146 non-Hispanic white breast cancer cases and 12,760 controls within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium. We estimated the relative excess risk due to interaction and its 95% confidence interval for each pairwise combination of SNPs and nongenetic risk factors using age- and cohort-adjusted logistic regression models. After correction for multiple comparisons, we identified a statistically significant relative excess risk due to interaction (uncorrected P = 4.51 × 10(-5)) between a SNP in the DNA repair protein RAD51 homolog 2 gene (RAD51L1; rs10483813) and body mass index (weight (kg)/height (m)(2)). We also compared additive and multiplicative polygenic risk prediction models using per-allele odds ratio estimates from previous studies for breast-cancer susceptibility SNPs and observed that the multiplicative model had a substantially better goodness of fit than the additive model.

U2 - 10.1093/aje/kwu214

DO - 10.1093/aje/kwu214

M3 - Journal article

C2 - 25255808

VL - 180

SP - 1018

EP - 1027

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

SN - 0002-9262

IS - 10

ER -