Amit Patki

This paper compares two Bayesian methods for polygenic risk scores (PRS) for hypertension across two ancestry groups, finding improved performance with updated LD panels and functional annotations, but not equitable results between groups.

This paper develops a trans-ancestry polygenic risk score for type 2 diabetes and validates it across diverse populations to improve equitable risk prediction.

This paper develops a genome-wide polygenic score for chronic kidney disease that incorporates APOL1 risk genotypes and shows consistent performance across four major continental ancestries.

This study examines the association between HBA copy number and kidney disease risk in Black Americans, finding higher HBA copy number linked to increased CKD prevalence and ESKD incidence.

The paper develops a methylation risk score model for metabolic syndrome using data from two ethnic groups, showing its predictive power across populations.

The paper identifies novel genetic determinants of lipidome variation in a founder population, highlighting rare alleles associated with specific lipid species and replicating known common loci.

This study identifies 137 genome-wide significant loci associated with DNA methylation biomarkers of ageing using DNAm and SNP data from over 41,000 individuals.