New method for multiancestry polygenic prediction holds prom

A team led by researchers at Johns Hopkins Bloomberg School of Public Health and the National Cancer Institute has developed a new algorithm for genetic risk-scoring for major diseases across diverse ancestry populations that holds promise for reducing health care disparities.

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Montserrat , Jingning Zhang , Zhaoyu Zhang , Nilanjan Chatterjee , Xihong Lin , Thomas Ahearn , Tony Chen , Jared Oconnell , Jin , Wenxuan Lu , Bertram Koelsch , Lily Ramsey , Zhi Yu , Yunxuan Jiang , Dayne Okuhara , Ruzhang Zhao , Jianan Zhan , Johns Hopkins Bloomberg School Of Public Health , Global Lipids Genetics Consortium , National Institutes Of Health All Us , National Cancer Institute , National Institutes Of Health , Bloomberg School , Bloomberg School Department Of Biostatistics , Me Inc , Me Research Team , Johns Hopkins Bloomberg School , Public Health , Nature Genetics , East Asian , Bloomberg Distinguished Professor , National Institutes , United Kingdom , National Cancer , Jaredo Connell , Research Team , Montserrat Garcia Closas , Genetic , Dancer , It , Na , Enetics , Health Care , Heart , Research ,