Daniel E. Geraghty

The paper provides high-resolution HLA and MICA/MICB typing for the 1000 Genomes panel, identifying population-specific variants and demonstrating the utility of HLA data for predicting MIC genotypes.

This paper develops a high-resolution KIR genotyping system that accurately identifies allelic, structural, and KIR-HLA diversity across 24 human populations.

The paper quantifies maternal microchimerism in the human brain using snRNA-seq and identifies diverse cell types across age groups.

The paper uses a statistical learning strategy to track SARS-CoV-2 Spike protein mutations in the US, identifying new variants and their spatiotemporal patterns.

The paper generates and aligns KIR haplotypes at high resolution, defines them as 14 loci with 9 genes, and applies the alignments in software tools for haplotype annotation and genotyping.

The paper uses long-read sequencing to phase and sequence sixteen KIR haplotypes from eight individuals, revealing novel structures and variants.