Luke Jostins-Dean

Reconstructing donor genotypes from scRNA-seq for downstream eQTL and HLA-TCR analysis

This paper introduces scTAPAS, a method to reconstruct donor genotypes from scRNA-seq data, enabling eQTL and HLA-TCR analysis without conventional genotyping.

Rank-based integration identifies convergent disease mechanisms across omics

ORBIT integrates omics data across studies and layers to identify convergent disease mechanisms by prioritizing concordant signals using rank-based methods.

Improving population-scale disease prediction through multi-omics integration

This paper integrates multi-omic data from 46,081 individuals to identify latent factors associated with diseases, showing improved prediction performance compared to single biomarkers.

Single-cell eQTL mapping identifies disease-specific genetic control of COVID-19 infection

The paper identifies disease-specific genetic regulation of gene expression in immune cells during COVID-19 infection using single-cell eQTL mapping.

Novel joint enrichment test demonstrates high performance in simulations and identifies cell-types with enriched expression of inflammatory bowel disease risk loci

The paper introduces a novel statistical test, GWASJET, that combines enrichment signals from multiple methods to identify cell-types with enriched expression of inflammatory bowel disease risk loci.

Metabolomic and genomic prediction of common diseases in 477,706 participants in three national biobanks

The paper develops metabolomic risk scores from half a million blood samples to predict 12 common diseases, showing they outperform polygenic scores and benefit from repeat measurements.

Alternative paths to immune activation: the role of costimulatory risk genes for polygenic inflammatory disease in T helper cells

This study examines how different costimulatory receptors affect T cell activation and identifies genetic risk factors for inflammatory diseases through RNA-seq and ATAC-seq in human CD4+ T cells.