Emma E. Davenport

This study tracks maternal immune gene expression and genetic regulation throughout pregnancy, revealing dynamic changes and genetic interactions linked to pregnancy complications.

The paper constructs a multi-ancestry single-cell eQTL map for SLE, identifying colocalized eQTLs with GWAS loci and highlighting cell-type-specific regulatory mechanisms.

This study uses single-cell profiling to track B cell depletion and repopulation in SLE patients after rituximab treatment, revealing changes in B cell subsets and immune cell dynamics.

The paper combines natural and engineered genetic variation to identify 22 non-coding variants affecting haematological traits and shows how a CUX1 variant impacts megakaryopoiesis.

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

This study identifies genetic determinants of blood gene expression and splicing, linking them to molecular phenotypes and health outcomes through QTL analysis and colocalization.

The paper identifies misexpression of inactive genes in whole blood and links it to nearby rare structural variants using RNA and genome sequencing data.

The paper develops genetic scores for 17,227 molecular traits using multi-omic data from INTERVAL and validates them across ancestries, demonstrating their utility in pathway analysis and disease association discovery.

The paper develops genetically personalised organ-specific metabolic models to identify associations between metabolic fluxes and disease risk, finding 97 fluxes linked to coronary artery disease.

The paper identifies deleterious neutrophil states and altered granulopoiesis in sepsis using single-cell multi-omics data from sepsis patients and controls.

IMPACT improves regulatory element annotation by integrating TF binding profiles with epigenomic data, showing better performance in predicting eQTLs and capturing RA heritability.

The paper identifies in vivo eQTL interactions with cytokine levels in a lupus trial, finding novel regulatory mechanisms and potential therapeutic targets.

The paper develops gene-expression-based prognostic models for 30-day mortality in sepsis using community-onset and hospital-acquired sepsis cohorts, showing improved prediction when combined with clinical scores.