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Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals

Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducte...

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Detalles Bibliográficos
Autores principales: Huang, Qin Qin, Sallah, Neneh, Dunca, Diana, Trivedi, Bhavi, Hunt, Karen A., Hodgson, Sam, Lambert, Samuel A., Arciero, Elena, Wright, John, Griffiths, Chris, Trembath, Richard C., Hemingway, Harry, Inouye, Michael, Finer, Sarah, van Heel, David A., Lumbers, R. Thomas, Martin, Hilary C., Kuchenbaecker, Karoline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363492/
https://www.ncbi.nlm.nih.gov/pubmed/35945198
http://dx.doi.org/10.1038/s41467-022-32095-5
Descripción
Sumario:Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducted genome-wide association studies of coronary artery disease and its key risk factors. Using power-adjusted transferability ratios, we found evidence for transferability for the majority of cardiometabolic loci powered to replicate. The performance of polygenic scores was high for lipids and blood pressure, but lower for BMI and coronary artery disease. Adding a polygenic score for coronary artery disease to clinical risk factors showed significant improvement in reclassification. In Mendelian randomisation using transferable loci as instruments, our findings were consistent with results in European-ancestry individuals. Taken together, trait-specific transferability of trait loci between populations is an important consideration with implications for risk prediction and causal inference.