Improving polygenic prediction in ancestrally diverse populations
Polygenic risk scores (PRS) have attenuated cross-population predictive performance, which reduces their clinical value in non-European populations and exacerbates healthcare disparities. This study, conducted by CGM Investigators Tian Ge, Hailiang Huang, Alicia Martin and colleagues, developed a computational framework, termed PRS-CSx, that can integrate genomic data from multiple populations to improve polygenic prediction in diverse populations. Leveraging large-scale global biobanks and disease-focused cohorts, the investigators showed that PRS-CSx substantially improved the prediction accuracy of biomarkers and disease risk in non-European populations. This work represents an important step towards the implementation of PRS into routine healthcare.
Read more in Nature Genetics
December 13, 2022
Publication Name
CGM Primary Investigators
The Center for Genomic Medicine (CGM) comprises one of the largest and most vibrant hubs of genomic medicine research in the world. The CGM includes 46 faculty collaborating to define the ‘genomic medicine cycle’ – which envisages a genomics community seeking to advance research from basic genomics research to ultimately using genome information for diagnostics and targeted therapeutics. All of our investigators are faculty at Harvard Medical School, and many members of our community are also investigators at the Broad Institute of Harvard and MIT.
