A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome-wide significant common variants

Sehee Kim; Miao Wang; Jonathan P. Tyrer; Allan Jensen; Ashley Wiensch; Gang Liu; Alice W. Lee; Roberta B. Ness; Maxwell Salvatore; Shelley S. Tworoger; Alice S. Whittemore; Hoda Anton-Culver; Weiva Sieh; Sara H. Olson; Andrew Berchuck; Ellen L. Goode; Marc T. Goodman; Jennifer Anne Doherty; Georgia Chenevix-Trench; Mary Anne Rossing; Penelope M. Webb; Graham G. Giles; Kathryn L. Terry; Argyrios Ziogas; Renée T. Fortner; Usha Menon; Simon A. Gayther; Anna H. Wu; Honglin Song; Angela Brooks-Wilson; Elisa V. Bandera; Linda S. Cook; Daniel W. Cramer; Roger L. Milne; Stacey J. Winham; Susanne K. Kjaer; Francesmary Modugno; Pamela J. Thompson; Jenny Chang-Claude; Holly R. Harris; Joellen M. Schildkraut; Nhu D. Le; Nico Wentzensen; Britton Trabert; Estrid Høgdall; David Huntsman; Malcolm C. Pike; Paul D.P. Pharoah; Celeste Leigh Pearce; Bhramar Mukherjee

doi:10.1002/ijc.32029

A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome-wide significant common variants

Sehee Kim, Miao Wang, Jonathan P. Tyrer, Allan Jensen, Ashley Wiensch, Gang Liu, Alice W. Lee, Roberta B. Ness, Maxwell Salvatore, Shelley S. Tworoger, Alice S. Whittemore, Hoda Anton-Culver, Weiva Sieh, Sara H. Olson, Andrew Berchuck, Ellen L. Goode, Marc T. Goodman, Jennifer Anne Doherty, Georgia Chenevix-Trench, Mary Anne RossingPenelope M. Webb, Graham G. Giles, Kathryn L. Terry, Argyrios Ziogas, Renée T. Fortner, Usha Menon, Simon A. Gayther, Anna H. Wu, Honglin Song, Angela Brooks-Wilson, Elisa V. Bandera, Linda S. Cook, Daniel W. Cramer, Roger L. Milne, Stacey J. Winham, Susanne K. Kjaer, Francesmary Modugno, Pamela J. Thompson, Jenny Chang-Claude, Holly R. Harris, Joellen M. Schildkraut, Nhu D. Le, Nico Wentzensen, Britton Trabert, Estrid Høgdall, David Huntsman, Malcolm C. Pike, Paul D.P. Pharoah, Celeste Leigh Pearce, Bhramar Mukherjee

Health Sciences Research

Research output: Contribution to journal › Article

2 Scopus citations

Abstract

As a follow-up to genome-wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well-known ovarian cancer risk factors and their interactions with 28 genome-wide significant common genetic variants. The interaction analyses were based on data from 9971 ovarian cancer cases and 15,566 controls from 17 case–control studies. Likelihood ratio and Wald tests for multiplicative interaction and for relative excess risk due to additive interaction were used. The top multiplicative interaction was noted between oral contraceptive pill (OCP) use (ever vs. never) and rs13255292 (p value = 3.48 × 10 ⁻⁴ ). Among women with the TT genotype for this variant, the odds ratio for OCP use was 0.53 (95% CI = 0.46–0.60) compared to 0.71 (95%CI = 0.66–0.77) for women with the CC genotype. When stratified by duration of OCP use, women with 1–5 years of OCP use exhibited differential protective benefit across genotypes. However, no interaction on either the multiplicative or additive scale was found to be statistically significant after multiple testing correction. The results suggest that OCP use may offer increased benefit for women who are carriers of the T allele in rs13255292. On the other hand, for women carrying the C allele in this variant, longer (5+ years) use of OCP may reduce the impact of carrying the risk allele of this SNP. Replication of this finding is needed. The study presents a comprehensive analytic framework for conducting gene–environment analysis in ovarian cancer.

Original language	English (US)
Pages (from-to)	2192-2205
Number of pages	14
Journal	International Journal of Cancer
Volume	144
Issue number	9
DOIs	https://doi.org/10.1002/ijc.32029
State	Published - May 1 2019

Keywords

G × E
additive interaction
genetics
ovarian cancer

ASJC Scopus subject areas

Oncology
Cancer Research

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Kim, S., Wang, M., Tyrer, J. P., Jensen, A., Wiensch, A., Liu, G., Lee, A. W., Ness, R. B., Salvatore, M., Tworoger, S. S., Whittemore, A. S., Anton-Culver, H., Sieh, W., Olson, S. H., Berchuck, A., Goode, E. L., Goodman, M. T., Doherty, J. A., Chenevix-Trench, G., ... Mukherjee, B. (2019). A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome-wide significant common variants. International Journal of Cancer, 144(9), 2192-2205. https://doi.org/10.1002/ijc.32029

A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome-wide significant common variants. / Kim, Sehee; Wang, Miao; Tyrer, Jonathan P.; Jensen, Allan; Wiensch, Ashley; Liu, Gang; Lee, Alice W.; Ness, Roberta B.; Salvatore, Maxwell; Tworoger, Shelley S.; Whittemore, Alice S.; Anton-Culver, Hoda; Sieh, Weiva; Olson, Sara H.; Berchuck, Andrew; Goode, Ellen L.; Goodman, Marc T.; Doherty, Jennifer Anne; Chenevix-Trench, Georgia; Rossing, Mary Anne; Webb, Penelope M.; Giles, Graham G.; Terry, Kathryn L.; Ziogas, Argyrios; Fortner, Renée T.; Menon, Usha; Gayther, Simon A.; Wu, Anna H.; Song, Honglin; Brooks-Wilson, Angela; Bandera, Elisa V.; Cook, Linda S.; Cramer, Daniel W.; Milne, Roger L.; Winham, Stacey J.; Kjaer, Susanne K.; Modugno, Francesmary; Thompson, Pamela J.; Chang-Claude, Jenny; Harris, Holly R.; Schildkraut, Joellen M.; Le, Nhu D.; Wentzensen, Nico; Trabert, Britton; Høgdall, Estrid; Huntsman, David; Pike, Malcolm C.; Pharoah, Paul D.P.; Pearce, Celeste Leigh; Mukherjee, Bhramar.

In: International Journal of Cancer, Vol. 144, No. 9, 01.05.2019, p. 2192-2205.

Research output: Contribution to journal › Article

Kim, S, Wang, M, Tyrer, JP, Jensen, A, Wiensch, A, Liu, G, Lee, AW, Ness, RB, Salvatore, M, Tworoger, SS, Whittemore, AS, Anton-Culver, H, Sieh, W, Olson, SH, Berchuck, A, Goode, EL, Goodman, MT, Doherty, JA, Chenevix-Trench, G, Rossing, MA, Webb, PM, Giles, GG, Terry, KL, Ziogas, A, Fortner, RT, Menon, U, Gayther, SA, Wu, AH, Song, H, Brooks-Wilson, A, Bandera, EV, Cook, LS, Cramer, DW, Milne, RL, Winham, SJ, Kjaer, SK, Modugno, F, Thompson, PJ, Chang-Claude, J, Harris, HR, Schildkraut, JM, Le, ND, Wentzensen, N, Trabert, B, Høgdall, E, Huntsman, D, Pike, MC, Pharoah, PDP, Pearce, CL & Mukherjee, B 2019, 'A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome-wide significant common variants', International Journal of Cancer, vol. 144, no. 9, pp. 2192-2205. https://doi.org/10.1002/ijc.32029

Kim, Sehee ; Wang, Miao ; Tyrer, Jonathan P. ; Jensen, Allan ; Wiensch, Ashley ; Liu, Gang ; Lee, Alice W. ; Ness, Roberta B. ; Salvatore, Maxwell ; Tworoger, Shelley S. ; Whittemore, Alice S. ; Anton-Culver, Hoda ; Sieh, Weiva ; Olson, Sara H. ; Berchuck, Andrew ; Goode, Ellen L. ; Goodman, Marc T. ; Doherty, Jennifer Anne ; Chenevix-Trench, Georgia ; Rossing, Mary Anne ; Webb, Penelope M. ; Giles, Graham G. ; Terry, Kathryn L. ; Ziogas, Argyrios ; Fortner, Renée T. ; Menon, Usha ; Gayther, Simon A. ; Wu, Anna H. ; Song, Honglin ; Brooks-Wilson, Angela ; Bandera, Elisa V. ; Cook, Linda S. ; Cramer, Daniel W. ; Milne, Roger L. ; Winham, Stacey J. ; Kjaer, Susanne K. ; Modugno, Francesmary ; Thompson, Pamela J. ; Chang-Claude, Jenny ; Harris, Holly R. ; Schildkraut, Joellen M. ; Le, Nhu D. ; Wentzensen, Nico ; Trabert, Britton ; Høgdall, Estrid ; Huntsman, David ; Pike, Malcolm C. ; Pharoah, Paul D.P. ; Pearce, Celeste Leigh ; Mukherjee, Bhramar. / A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome-wide significant common variants. In: International Journal of Cancer. 2019 ; Vol. 144, No. 9. pp. 2192-2205.

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abstract = " As a follow-up to genome-wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well-known ovarian cancer risk factors and their interactions with 28 genome-wide significant common genetic variants. The interaction analyses were based on data from 9971 ovarian cancer cases and 15,566 controls from 17 case–control studies. Likelihood ratio and Wald tests for multiplicative interaction and for relative excess risk due to additive interaction were used. The top multiplicative interaction was noted between oral contraceptive pill (OCP) use (ever vs. never) and rs13255292 (p value = 3.48 × 10 −4 ). Among women with the TT genotype for this variant, the odds ratio for OCP use was 0.53 (95% CI = 0.46–0.60) compared to 0.71 (95%CI = 0.66–0.77) for women with the CC genotype. When stratified by duration of OCP use, women with 1–5 years of OCP use exhibited differential protective benefit across genotypes. However, no interaction on either the multiplicative or additive scale was found to be statistically significant after multiple testing correction. The results suggest that OCP use may offer increased benefit for women who are carriers of the T allele in rs13255292. On the other hand, for women carrying the C allele in this variant, longer (5+ years) use of OCP may reduce the impact of carrying the risk allele of this SNP. Replication of this finding is needed. The study presents a comprehensive analytic framework for conducting gene–environment analysis in ovarian cancer. ",

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