| Title: | Integrating genetics, omics data, and epidemiological data to enhance comprehensively the etiology of female reproductive disease and postmenopausal women's noncommunicable diseases(NCDs) |
| Lead Institution: | West China Second University Hospital, Sichuan University |
| Principal investigator: |
Application 506790
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About
Female reproductive diseases affect up to 40% of females globally. In addition, postmenopausal women face an increasing incidence of noncommunicable chronic diseases (NCDs). While the mechanisms underlying these conditions remain poorly understood.This study will include all eligible participants from the UK Biobank cohort, focusing on major female reproductive diseases (e.g., infertility, polycystic ovary syndrome, endometriosis, uterine leiomyoma, adenomyosis, abortion, premature ovarian failure, uterine bleeding, menopause, ovarian cysts, and ovarian/endometrial/cervix cancers) and postmenopausal women's NCDs (e.g., diabetes, osteoporosis, metabolic syndrome, cardiovascular diseases such as coronary heart disease, stroke, heart failure, venous thrombosis, chronic kidney disease, Alzheimer's disease, cognitive decline, depression, and cancer). The exposure factors include genetic profiles, polygenic risk scores, omics data, biochemical and hematological assays, environmental exposures, lifestyle, diet, physical activity, accelerometry data, demographic characteristics, COVID-19 and medical information. Cox proportional hazard models and linear/logistic regression will be used to estimate the associations of these exposure factors with these diseases. Mendelian Randomization will estimate the causal effects, while Mediation analysis will explore the indirect effects between these exposure factors and these diseases. Machine learning algorithms will be employed to handle the complexity of the data and reveal latent patterns that traditional statistical methods may miss. Sensitivity analyses will be performed to validate the robustness and consistency of causal inferences.At the end of the project, our findings will uncover novel risk factors, identify potential biomarkers, and expand our scientific knowledge about the etiology of female reproductive diseases and postmenopausal women's NCDs to provide potential new prevention and therapeutic targets.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16860 | Higher consumption of sugar-sweetened beverages is associated with an increased risk of endometrial cancer: a prospective cohort study of 92,777 women from the UK Biobank | Ke Yi (+3) | 2026 | Frontiers in Public Health |
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