Katie L. Burnham

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 maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

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 identifies eQTLs and regulatory networks linking genetic variation to transcriptomic responses in sepsis, highlighting key regulators like HIF1A and CEBPB.

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

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.