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This may be a consequence of differences in exposure to lifestyle risk factors or differences in genetic susceptibility across ancestry groups. “Trans-ancestry genetic correlation” quantifies the similarity in genetic predisposition to a trait or disease between different populations. We aimed to calculate the trans-ancestry genetic correlation of refractive error across a diverse range of ancestry groups (European, South Asian, East Asian and African) using recently developed approaches.</jats:p>                 </jats:sec>                 <jats:sec>                   <jats:title>Methods</jats:title>                   <jats:p>Two methods were applied: (1) trans-ancestry genetic correlation with unbalanced data resources (TAGC-UDR) and (2) trans-ancestry bivariate genomic-relatedness-based restricted maximum-likelihood (TAB-GREML). TAGC-UDR analyses were carried out for UK Biobank participants of European (n=107,668; n=3,500), East Asian (n=972), South Asian (n=4,303) and African (n=3,877) ancestry. TAB-GREML analyses were carried out for participants of European (n=10,000), South Asian (n=4,303) and African (n=3,877) ancestry.</jats:p>                 </jats:sec>                 <jats:sec>                   <jats:title>Results</jats:title>                   <jats:p>TAGC-UDR analyses suggested the trans-ancestry genetic correlation of refractive error was in the range 0.7–1.0 for the European vs. African, European vs. East Asian and European vs. South Asian ancestry pairs. The TAB-GREML estimates were consistent with the TAGC-UDR findings. Precision of the estimates was limited, reflecting the modest sample sizes of the non-European samples.</jats:p>                 </jats:sec>                 <jats:sec>                   <jats:title>Conclusion</jats:title>                   <jats:p>The findings support existing evidence that genetic susceptibility to refractive error is largely shared between Europeans and East Asians, and further suggest that genetic susceptibility to refractive error is largely shared across Europeans, Africans and South Asians. The results imply that differences in geographical variation in myopia prevalence are mostly driven by lifestyle factors.</jats:p>                 </jats:sec>"],"publicationDate":"2025-05-08","publisher":"Association for Research in Vision and Ophthalmology (ARVO)","embargoEndDate":null,"sources":["Crossref","Invest Ophthalmol Vis Sci"],"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":{"name":"Investigative Ophthalmology &amp; Visual 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