Obesity is a major public health concern and has been consistently associated with a wide range of adverse female reproductive outcomes, including gynaecological conditions, obstetric complications, and impaired fertility. However, the biological mechanisms and molecular pathways driving these associations remain poorly characterized.
The primary objective of this research is to integrate genomic, proteomic and phenotypic data to explore molecular-level associations between obesity and female reproductive health outcomes. We will examine relationships between obesity-related measures and reproductive phenotypes, investigating how genetic and molecular features drive disease risk and heterogeneity. Where appropriate, stratified analyses and sensitivity analyses will be undertaken to further clarify these relationships.
This project will use existing UK Biobank data, integrating genomic, proteomic and phenotypic information to identify molecular features and markers associated with obesity and female reproductive health outcomes. Analyses will focus on characterising signals at the protein and gene levels that are linked to obesity-related traits, and on assessing how combinations of molecular features relate to variation in reproductive disease risk and presentation at the population level. Statistical and computational analyses of cohort data conducted at scale will be used to examine biological pathways relevant to disease mechanisms, risk stratification and prevention.
