학술논문

Age at natural menopause genetic risk score in relation to age at natural menopause and primary open-angle glaucoma in a US-based sample
Document Type
article
Source
Menopause The Journal of The North American Menopause Society. 24(2)
Subject
Epidemiology
Biomedical and Clinical Sciences
Health Sciences
Ophthalmology and Optometry
Human Genome
Neurosciences
Neurodegenerative
Genetics
Eye Disease and Disorders of Vision
Aging
Good Health and Well Being
Age Factors
Female
Genetic Variation
Genotype
Glaucoma
Open-Angle
Humans
Menopause
Middle Aged
Risk Assessment
Risk Factors
United States
Age at natural menopause
Genetic risk score
Primary open-angle glaucoma
Medical and Health Sciences
Obstetrics & Reproductive Medicine
Biomedical and clinical sciences
Health sciences
Psychology
Language
Abstract
ObjectiveSeveral attributes of female reproductive history, including age at natural menopause (ANM), have been related to primary open-angle glaucoma (POAG). We assembled 18 previously reported common genetic variants that predict ANM to determine their association with ANM or POAG.MethodsUsing data from the Nurses' Health Study (7,143 women), we validated the ANM weighted genetic risk score in relation to self-reported ANM. Subsequently, to assess the relation with POAG, we used data from 2,160 female POAG cases and 29,110 controls in the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (NEIGHBORHOOD), which consists of 8 datasets with imputed genotypes to 5.6+ million markers. Associations with POAG were assessed in each dataset, and site-specific results were meta-analyzed using the inverse weighted variance method.ResultsThe genetic risk score was associated with self-reported ANM (P = 2.2 × 10) and predicted 4.8% of the variance in ANM. The ANM genetic risk score was not associated with POAG (Odds Ratio (OR) = 1.002; 95% Confidence Interval (CI): 0.998, 1.007; P = 0.28). No single genetic variant in the panel achieved nominal association with POAG (P ≥0.20). Compared to the middle 80 percent, there was also no association with the lowest 10 percentile or highest 90 percentile of genetic risk score with POAG (OR = 0.75; 95% CI: 0.47, 1.21; P = 0.23 and OR = 1.10; 95% CI: 0.72, 1.69; P = 0.65, respectively).ConclusionsA genetic risk score predicting 4.8% of ANM variation was not related to POAG; thus, genetic determinants of ANM are unlikely to explain the previously reported association between the two phenotypes.