SynthesisCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2013
Combined and interactive effects of environmental and GWAS-identified risk factors in ovarian cancer.
Synthesis in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Management of individuals with heterozygous germline pathogenic variants in RAD51C, RAD51D, and BRIP1: A clinical practice resource of the American College of Medical Genetics and Genomics (ACMG).Genetics in medicine : official journal of the American College of Medical Genetics · 2025Guideline
- A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer.International journal of cancer · 2016Pooled it
- Association of hysterectomy and invasive epithelial ovarian and tubal cancer: a cohort study within UKCTOCS.BJOG : an international journal of obstetrics and gynaecology · 2022Trial
- Environment, lifestyle, and cancer in women.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Review
- Ovarian Cancer: From Precursor Lesion Identification to Population-Based Prevention Programs.Current oncology (Toronto, Ont.) · 2023Review
- A framework for assessing interactions for risk stratification models: the example of ovarian cancer.Journal of the National Cancer Institute · 2023Article
- Trends of Ovarian Cancer Incidence by Histotype and Race/Ethnicity in the United States 1992-2019.Cancer research communications · 2023Article
- Enhancing the BOADICEA cancer risk prediction model to incorporate new data onJournal of medical genetics · 2022Article
- Correlation between SNPs of PIK3CA, ERBB2 3'UTR, and their interactions with environmental factors and the risk of epithelial ovarian cancer.Journal of assisted reproduction and genetics · 2021Article
- Depot-Medroxyprogesterone Acetate Use Is Associated with Decreased Risk of Ovarian Cancer: The Mounting Evidence of a Protective Role of Progestins.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Article
- Expanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies.Journal of the National Cancer Institute · 2021Article
- TNFAIP8 variants as potential epidemiological and predictive biomarkers in ovarian cancer.Cancer cell international · 2020Article
- Circulating estrogens and postmenopausal ovarian and endometrial cancer risk among current hormone users in the Women's Health Initiative Observational Study.Cancer causes & control : CCC · 2019Observational
- Systematic evaluation of cancer-specific genetic risk score for 11 types of cancer in The Cancer Genome Atlas and Electronic Medical Records and Genomics cohorts.Cancer medicine · 2019Article
- Going to extremes: determinants of extraordinary response and survival in patients with cancer.Nature reviews. Cancer · 2019Review
- A comprehensive gene-environment interaction analysis in Ovarian Cancer using genome-wide significant common variants.International journal of cancer · 2019Article
- Stratifying Ovarian Cancer Risk Using Personal Health Data.Frontiers in big data · 2019Article
- Association of Combined Estrogen-Progestogen and Progestogen-Only Contraceptives with the Development of Cancer.The Linacre quarterly · 2018Review
- Evaluation of polygenic risk scores for ovarian cancer risk prediction in a prospective cohort study.Journal of medical genetics · 2018Article
- Ovarian cancer statistics, 2018.CA: a cancer journal for clinicians · 2018Article
Corrections and comments
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Authors and funding
55 authors at 3 institutions in 5 countries.
Funding
Abstract
backgroundThere 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.
methodsData 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.
resultsAmong 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).
conclusionsThe 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.