Nicholas Mancuso

Nicholas Mancuso, PhD, is an Associate Professor in the Department of Population and Public Health Sciences at the Keck School of Medicine, University of Southern California. He holds a joint appointment in Quantitative and Computational Biology. His research focuses on developing computational and statistical methods to study the genetic basis of complex diseases, integrating molecular phenotypes (e.g., gene expression, protein abundance) with large-scale genomic data. Key areas include characterizing genetic architectures (e.g., rare vs. common variants) and quantifying evolutionary pressures on alleles.

Research Interests:

• Computational and statistical genetics
• Integration of multi-omics data with GWAS
• Ancestry-specific genetic effects and gene-environment interactions
• Development of novel methodologies for fine-mapping and causal inference

Publications Trends: His work emphasizes multi-ancestry studies, identifying risk loci for conditions like leukemia, diabetes, and pregnancy complications. Recent studies highlight advancements in eQTL analysis, HLA typing, and viral population genetics. The research often bridges statistical innovation with biological interpretation, particularly in understudied populations.

Awards: No specific scientific awards listed in the provided text.

Lab & Collaborations: He leads the Mancuso Lab at USC, part of the Center for Genetic Epidemiology. Collaborators include prominent researchers such as Christopher Haiman and David Conti. His team develops tools like twas_sim for transcriptome-wide association studies and focuses on translational applications of genetic findings.