Nigel William Rayner

Associations of Combined Genetic and Lifestyle Risks with Incident Type 2 Diabetes in the UK Biobank

This study examines how genetic and lifestyle factors together influence the risk of developing type 2 diabetes in the UK Biobank population.

Linking the plasma proteome to genetics in individuals from continental Africa provides insights into type 2 diabetes pathogenesis

This study links plasma proteome data to genetics in Ugandan individuals, identifying novel pQTLs and proteins causally associated with type 2 diabetes.

Multi-omics characterization of type 2 diabetes associated genetic variation.

This study integrates multi-omics data to identify genetic variants and molecular mechanisms associated with type 2 diabetes and highlights potential drug targets.

Insights into the metabolic consequences of type 2 diabetes

This study identifies metabolites causally linked to type 2 diabetes and its complications, revealing genetic regulation effects and metabolic pathways involved.

A community driven GWAS summary statistics standard

The paper defines a standard format for GWAS summary statistics to improve data sharing and analysis.

Whole genome sequencing analysis of the cardiometabolic proteome

The paper uses whole-genome sequencing to analyze the genetic architecture of 257 cardiometabolic protein biomarkers, identifying 131 sequence variant associations and constructing polygenic scores that explain up to 45% of protein variation.

Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

This study identifies genetic effects on birth weight and their impact on cardio-metabolic traits, distinguishing fetal and maternal contributions.

Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits

The paper performs deep whole genome sequencing on 1,457 individuals to investigate rare variant contributions to cardiometabolic traits, identifying new regulatory variants and gene-trait associations.

Genetic discovery and translational decision support from exome sequencing of 20,791 type 2 diabetes cases and 24,440 controls from five ancestries

This study identifies rare genetic variants associated with type 2 diabetes using exome sequencing of 20,791 cases and 24,440 controls, and provides a Bayesian framework to improve variant prioritization.

Refining The Accuracy Of Validated Target Identification Through Coding Variant Fine-Mapping In Type 2 Diabetes

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.

Fine-mapping of an expanded set of type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.