Sex-Stratified Polygenic Risk Modelling across Reproductive Ageing, Reproductive Disorders, Hormone-Driven Cancers, pregnancy complications and Related Health Traits in a European Population

This academic project will evaluate polygenic and phenotypic models for reproductive ageing, reproductive disorders, pregnancy complications, hormone-driven cancers and related health traits using Lifelines data. The study will integrate reproductive history, age at natural menopause, ovarian-ageing markers, pregnancy-related phenotypes, cardiometabolic and lifestyle variables, cancer history, and available UMCG-generated PRS secondary data. Analyses will include phenotype harmonisation, PRS evaluation, association testing, sex-stratified modelling and exploratory risk-context modelling. No SNP-level data or biological samples are requested at this stage; only aggregate, non-identifiable results will be disseminated.