The provided text details research on developing and validating a multi-ancestry polygenic score (PGS) for predicting body mass index (BMI) and obesity, significantly improving upon previous models. The study utilizes extensive genomic and phenotypic data from diverse populations, including those from the UK Biobank and the Million Veteran Program. Findings indicate this new PGS, known as PGSLC, offers enhanced predictive accuracy across various ancestral groups, especially for severe obesity and in early life, though a performance gap persists for populations of African ancestry. The research also explores the PGSLC’s utility in clinical applications, such as predicting adult BMI from childhood and assessing weight change in response to lifestyle interventions.
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