Chris Griffiths

This pilot study identifies British South Asians at high risk of cholestatic liver disease through genetic and phenotypic recall, finding 66.7% of participants had undetected liver disease.

The paper investigates the association between autozygosity and common diseases in multiple cohorts, finding significant links to twelve diseases and estimating autozygosity's contribution to type 2 diabetes cases.

The paper identifies PIK3R3 as a candidate regulator of platelet count in Bangladeshi ancestry individuals through GWAS and functional analysis.

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.

This study assesses the transferability of genetic loci and polygenic scores for cardiometabolic traits from European-ancestry samples to British Pakistanis and Bangladeshis, finding high transferability for most loci but variable performance for polygenic scores.

This paper constructs a type 2 diabetes polygenic risk score for British Pakistanis and Bangladeshis, integrates it with a clinical tool to improve risk prediction, and identifies genetic differences between disease subgroups.

The paper identifies a healthy individual with complete HAO1 knockout, showing normal oxalate levels but elevated glycolate, supporting the safety of HAO1 inhibition for PH1 therapy.

ELGH is a population genomics study of British-Bangladeshi and British-Pakistani people in east London, combining health records with genetic data to study disease and genetic influences.

The paper estimates the health effects of rare gene knockouts in adults by analyzing exome sequencing data and health records, finding no significant disease associations.