To explore the genetic correlation between the age of menopause and the susceptibility to osteoarthritis (OA).
Approach:
Data Source: Utilized genetic association data from a study with 455,221 participants, including 77,052 diagnosed with OA and 378,169 controls, alongside a GWAS on menopause timing involving 201,323 individuals.
Linkage Disequilibrium Score Regression: Employed LDSC to assess genetic correlation and heritability estimates for OA and menopause age, considering European ancestry.
High-Definition Likelihood Analysis: Used HDL analysis for precise genetic correlation estimates, confirming LDSC results.
Local Genetic Correlations: Applied LAVA software for bivariate local genetic correlation analyses to identify shared genetic influences in specific genomic segments.
Pleiotropic Analysis: Conducted pleiotropy scans using PLACO to detect SNPs associated with both menopause age and OA.
Key Findings:
Genetic factors significantly influence both the age of menopause and susceptibility to OA.
Estrogen levels play a crucial role in the development and progression of OA, particularly post-menopause.
GWAS has identified numerous genetic loci associated with both menopause timing and OA.
Interpretation:
Limitations:
The study primarily focused on individuals of European ancestry, which may limit generalizability.
Further research is needed to explore the functional implications of identified genetic loci.
Two single-injection cross-linked hyaluronic acid formulations showed no statistically significant advantage over saline for pain or functional outcomes through 24 weeks.
