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GWAS meta-analysis finds female-specific adiposity genetics linked to endometrial cancer risk

GWAS meta-analysis finds female-specific adiposity genetics linked to endometrial cancer risk
Photo by Ekke Krosing / Unsplash
Key Takeaway
Consider sex-stratified adiposity genetics in endometrial cancer research; findings are mechanistic, not causal.

This genome-wide association study (GWAS) meta-analysis used genomic structural equation modelling of six adiposity GWAS, analyzing genetic data from 2 million people. The study investigated sex-stratified genetic effects of adiposity variants and their relationship to endometrial cancer risk. The primary aim was to identify sex differences in adiposity genetic effects and their link to endometrial cancer.

The analysis identified a fourfold larger female-specific causal genetic component for adiposity relative to males. It found stronger female adiposity genetic effects specifically on endometrial cancer risk, but not on other hormone-related cancers. Researchers identified 26 loci jointly associated with female adiposity and endometrial cancer, of which 16 were previously unreported. Furthermore, 14.1% of the genetic variance in endometrial cancer was found to be shared with adiposity.

This is a genetic association study identifying genetic components and pathways, not direct causation. Safety and tolerability data were not reported, as this was a genomic analysis. Key study limitations were not reported. The findings underscore the importance of sex-stratified approaches in understanding how adiposity genetics contributes to disease susceptibility, but they represent mechanistic partitions of genetic programmes, not proven clinical interventions.

Study Details

EvidenceLevel 5
PublishedMar 2026
View Original Abstract ↓
Excess adiposity accounts for up to 60% of endometrial cancer cases, yet the mechanisms linking adiposity to carcinogenesis and the relevance of sex-specific adiposity genetics to disease risk have been largely unexplored. Using genomic structural equation modelling of six adiposity genome-wide association studies (GWAS), we perform the first sex-stratified adiposity common factor GWAS model, combining data from 2 million people. We identified sex differences in adiposity genetic effects and identified a fourfold larger female-specific causal genetic component relative to males. Female adiposity genetics converged on hormone-responsive and oncogenic pathways directly implicated in endometrial carcinogenesis, a specificity confirmed by stronger female adiposity genetic effects on endometrial cancer but not other hormone-related cancers. Cross-trait analysis identified 26 loci jointly associated with female adiposity and endometrial cancer, including 16 previously unreported loci. GWAS-by-subtraction revealed that only 14.1% of the genetic variance in endometrial cancer is shared with adiposity, with the remainder reflecting adiposity-independent mechanisms captured by established endometrial cancer loci. The adiposity-mediated component converged on insulin-leptin adipocyte signalling and on imprinted and pluripotency-associated developmental pathways, linked by shared nodes such as PTPN11 and PPARG. These findings recast the obesity-endometrial cancer relationship from an epidemiological observation into a mechanistically partitioned genetic programme, and underscores the importance of sex-stratified approaches to resolving how adiposity genetics contributes to disease susceptibility.
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