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Genome-wide association studies (GWAS) have accelerated the exploration of genotype–phenotype associations, facilitating the discovery of replicable genetic markers associated with specific traits or complex diseases. This narrative review explores the statistical methodologies developed using GWAS data to investigate relationships between various phenotypes, focusing on endometrial cancer, the most prevalent gynecological malignancy in developed nations. Advancements in analytical techniques such as genetic correlation, colocalization, cross-trait locus identification, and causal inference analyses have enabled deeper exploration of associations between different phenotypes, enhancing statistical power to uncover novel genetic risk regions. These analyses have unveiled shared genetic associations between endometrial cancer and many phenotypes, enabling identification of novel endometrial cancer risk loci and furthering our understanding of risk factors and biological processes underlying this disease. The current status of research in endometrial cancer is robust; however, this review demonstrates that further opportunities exist in statistical genetics that hold promise for advancing the understanding of endometrial cancer and other complex diseases. [ABSTRACT FROM AUTHOR]

Background: The American Cancer Society recommends physicians inform average risk women about endometrial cancer (EC) risk on reaching menopause, but new diagnoses are rising fastest in women <50 years. Educating these women about EC risks requires knowledge of risk factors. However, EC in young women is rare and challenging to study in single study populations., Methods: We included 13,846 incident EC patients (1,639 < 50 years) and 30,569 matched control individuals from the Epidemiology of Endometrial Cancer Consortium. We used generalized linear models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for 6 risk factors and EC risk. We created a risk score to evaluate the combined associations and population attributable fractions of these factors., Results: In younger and older women, we observed positive associations with BMI and diabetes, and inverse associations with age at menarche, oral contraceptive use, and parity. Current smoking was associated with reduced risk only in women ≥50 years (PHet<0.01). BMI was the strongest risk factor [OR≥35 vs <25 kg/m2=5.57 (95% CI:4.33-7.16) for <50 years; OR≥35 vs <25 kg/m2=4.68 (95% CI : 4.30-5.09) for ≥50 years; PHet=0.14]. Possessing ≥4 risk factors was associated with ∼9-fold increased risk in women <50 years and ∼4-fold increased risk in women ≥50 years (PHet<0.01). Together, 59.1% of ECs in women <50 and 55.6% in women ≥50 were attributable to these factors., Conclusions: Our data confirm younger and older women share common EC risk factors. Early educational efforts centered on these factors may help mitigate the rising EC burden in young women., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)