Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals.
Qin Qin HuangNeneh SallahDiana DuncaBhavi TrivediKaren A HuntSam HodgsonSamuel A LambertElena ArcieroJohn WrightChristopher J GriffithsRichard C TrembathHarry HemingwayMichael InouyeSarah FinerDavid A van HeelR Thomas LumbersHilary C MartinKaroline B KuchenbaeckerPublished in: Nature communications (2022)
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.
Keyphrases
- genome wide
- coronary artery disease
- genome wide association
- electronic health record
- risk factors
- dna methylation
- genome wide association study
- blood pressure
- copy number
- percutaneous coronary intervention
- cardiovascular events
- coronary artery bypass grafting
- healthcare
- public health
- gene expression
- mental health
- body mass index
- pulmonary hypertension
- left ventricular
- cardiovascular disease
- deep learning
- artificial intelligence
- climate change
- metabolic syndrome
- transcription factor
- weight gain
- big data
- aortic valve
- heart failure
- transcatheter aortic valve replacement
- insulin resistance
- genetic diversity