Nilüfer Rahmioğlu

This study uses DNA methylation data to predict endometriosis status and menstrual cycle phase, finding strong performance for cycle phase and moderate performance for endometriosis.

This study investigates the genetic and phenotypic associations between endometriosis and 31 immunological diseases using UK Biobank data, finding significant genetic correlations and a causal link with rheumatoid arthritis.

The paper analyzes endometrial DNA methylation and genetic variants to identify mQTLs and their association with endometriosis risk and menstrual cycle phases.

This study uses Mendelian randomisation to investigate the causal effects of obesity on female reproductive conditions, finding that central obesity and metabolic hormones mediate these associations.

This study identifies 36 novel genetic loci associated with uterine leiomyomata and suggests a causal link between genetic predisposition to increased fat-free mass and UL risk.

The paper develops a deep learning method for adipocyte phenotyping and finds adipocyte area correlates with BMI but no genome-wide significant genetic associations.

This study identifies 13 novel genetic loci associated with endometriosis through a large GWAS meta-analysis and finds genetic links to other pain-related conditions.

This study performs a GWAS meta-analysis of menstrual cycle length in European women, confirming the FSHB locus association and identifying four novel signals linked to the HPG axis.