作者
Qin Qin Huang, Neneh Sallah, Diana Dunca, Bhavi Trivedi, Karen A Hunt, Sam Hodgson, Samuel A Lambert, Elena Arciero, Genes & Health Research team, John Wright, Chris Griffiths, Richard C Trembath, Harry Hemingway, Michael Inouye, Sarah Finer, David A van Heel, Thomas Lumbers, Hilary C Martin, Karoline Kuchenbaecker
发表日期
2021/6/24
期刊
medRxiv
页码范围
2021.06. 22.21259323
出版商
Cold Spring Harbor Laboratory Press
简介
Background
Individuals with South Asian ancestry have higher risk of heart disease than other groups in Western countries; however, most genetic research has focused on European-ancestry (EUR) individuals. It is unknown whether reported genetic loci and polygenic scores (PGSs) for cardiometabolic traits are transferable to South Asians, and whether PGSs have utility in clinical settings.
Methods
Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort (G&H), we conducted genome-wide association studies (GWAS) and characterised the genetic architecture of coronary artery disease (CAD), body mass index (BMI), lipid biomarkers and blood pressure. We applied a new technique to assess the extent to which loci from GWAS in EUR samples were transferable. We tested how well existing findings from EUR studies performed in genetic risk prediction and Mendelian randomisation in G&H.
Results
Trans-ancestry genetic correlations between G&H and EUR samples for the tested traits were not significantly lower than 1, except for BMI (rg=0.85, p=0.02). We found evidence for transferability for the vast majority of loci from EUR discovery studies that were sufficiently powered to replicate in G&H. PGSs showed variable transferability in G&H, with the relative accuracy compared to EUR (ratio of incremental r2/AUC) ≥0.95 for HDL-C, triglycerides, and blood pressure, but lower for BMI (0.78) and CAD (0.42). We observed significant improvement in categorical net reclassification in G&H (NRI=3.9%; 95% CI 0.9–7.0) when adding a previously developed CAD PGS to …
引用总数
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