Nathan Gaddis

The paper constructs a single-cell reference atlas for human and mouse lung tissues to improve cell type annotation and data integration.

The paper describes the LungMAP Portal Ecosystem, a centralized resource integrating multi-omics and imaging data across species to enable standardized analysis of lung biology and disease.

This study evaluates 18 functional weighting methods to enhance GWAS discovery, finding some methods can nominate high PPV variants for multiple traits without increasing sample size.

This paper introduces a method to combine genotypes from genotyping arrays and whole genome sequencing to expand public controls for GWAS, improving power for non-European ancestries.

The paper introduces an ontology-guided approach for segmenting and identifying objects in developmental mouse lung immunofluorescent images, demonstrating its effectiveness using LungMAP data.

The paper identifies novel genetic loci associated with nicotine dependence and shows genetic correlations with other smoking traits and comorbidities using genome-wide association studies.