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Combined and interactive effects of environmental and GWAS-identified risk factors in ovarian cancer.


ABSTRACT: There are several well-established environmental risk factors for ovarian cancer, and recent genome-wide association studies have also identified six variants that influence disease risk. However, the interplay between such risk factors and susceptibility loci has not been studied.Data from 14 ovarian cancer case-control studies were pooled, and stratified analyses by each environmental risk factor with tests for heterogeneity were conducted to determine the presence of interactions for all histologic subtypes. A genetic "risk score" was created to consider the effects of all six variants simultaneously. A multivariate model was fit to examine the association between all environmental risk factors and genetic risk score on ovarian cancer risk.Among 7,374 controls and 5,566 cases, there was no statistical evidence of interaction between the six SNPs or genetic risk score and the environmental risk factors on ovarian cancer risk. In a main effects model, women in the highest genetic risk score quartile had a 65% increased risk of ovarian cancer compared with women in the lowest [95% confidence interval (CI), 1.48-1.84]. Analyses by histologic subtype yielded risk differences across subtype for endometriosis (Phet < 0.001), parity (Phet < 0.01), and tubal ligation (Phet = 0.041).The lack of interactions suggests that a multiplicative model is the best fit for these data. Under such a model, we provide a robust estimate of the effect of each risk factor that sets the stage for absolute risk prediction modeling that considers both environmental and genetic risk factors. Further research into the observed differences in risk across histologic subtype is warranted.

SUBMITTER: Pearce CL 

PROVIDER: S-EPMC3963289 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

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Combined and interactive effects of environmental and GWAS-identified risk factors in ovarian cancer.

Pearce Celeste Leigh CL   Rossing Mary Anne MA   Lee Alice W AW   Ness Roberta B RB   Webb Penelope M PM   Chenevix-Trench Georgia G   Jordan Susan M SM   Stram Douglas A DA   Chang-Claude Jenny J   Hein Rebecca R   Nickels Stefan S   Lurie Galina G   Thompson Pamela J PJ   Carney Michael E ME   Goodman Marc T MT   Moysich Kirsten K   Hogdall Estrid E   Jensen Allan A   Goode Ellen L EL   Fridley Brooke L BL   Cunningham Julie M JM   Vierkant Robert A RA   Weber Rachel Palmieri RP   Ziogas Argyrios A   Anton-Culver Hoda H   Gayther Simon A SA   Gentry-Maharaj Aleksandra A   Menon Usha U   Ramus Susan J SJ   Brinton Louise L   Wentzensen Nicolas N   Lissowska Jolanta J   Garcia-Closas Montserrat M   Massuger Leon F A G LF   Kiemeney Lambertus A L M LA   Van Altena Anne M AM   Aben Katja K H KK   Berchuck Andrew A   Doherty Jennifer A JA   Iversen Edwin E   McGuire Valerie V   Moorman Patricia G PG   Pharoah Paul P   Pike Malcolm C MC   Risch Harvey H   Sieh Weiva W   Stram Daniel O DO   Terry Kathryn L KL   Whittemore Alice A   Wu Anna H AH   Schildkraut Joellen M JM   Kjaer Susanne K SK  

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20130305 5


<h4>Background</h4>There are several well-established environmental risk factors for ovarian cancer, and recent genome-wide association studies have also identified six variants that influence disease risk. However, the interplay between such risk factors and susceptibility loci has not been studied.<h4>Methods</h4>Data from 14 ovarian cancer case-control studies were pooled, and stratified analyses by each environmental risk factor with tests for heterogeneity were conducted to determine the pr  ...[more]

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