Posts by Collection

FactorGo

github link: https://github.com/mancusolab/FactorGo

Other softwares from Mancuso Lab

github link: https://github.com/mancusolab

A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statistics

Published in American Journal of Human Genetics, 2023

We proposed a scalable factor analysis model to identify and characterize pleiotropic components using biobank GWAS summary data.

Recommended citation: Zhang, Z., Jung, J., Kim, A., Suboc, N., Gazal, S., and Mancuso, N. (2023). A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statistics. Am. J. Hum. Genet. 110, 1863–1874.
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Inferring causal cell types of human diseases and risk variants from candidate regulatory elements

Published in medRxiv (preprint), 2024

We proposed methods to leverage cell-type-specific CREs to fine-map causal cell types for a trait and for its candidate causal variants.

Recommended citation: Kim, A., Zhang, Z., Legros, C., Lu, Z., de Smith, A., Moore, J.E., Mancuso, N., and Gazal, S. (2024). Inferring causal cell types of human diseases and risk variants from candidate regulatory elements. medRxiv.
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Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions

Published in American Journal of Human Genetics, 2024

We characterized genes differentially expressed across ancestries (ancDE genes) at the cell-type level by leveraging single-cell RNA-sequencing data from multiple ancestries.

Recommended citation: Wang, J., Zhang, Z., Lu, Z., Mancuso, N., and Gazal, S. (2024). Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions. Am. J. Hum. Genet.
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A variational Bayesian approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statistics

• Talk
  1. Platform Talk in statistical genetics, ASHG 2022
  2. Invited talk in Dr. Xiang Zhou’s group at University of Michigan, 2024
• Poster
  1. Computational Genomics Summer Institute 2023
  2. Probabilistic Modeling in Genomics conference 2023
  3. ASHG 2021

Scalable count-based models improve power and robustness to detect eQTLs in large-scale single-cell data

• Poster
  1. ASHG 2023
  2. Program in Quantitative Genomics conference 2023

Teaching Assistant

Graduate course, Mailman School of Public Health, Columbia University, 2019

• Biostatistics Method I (Fall 2019)
• Data Science I (Fall 2019)

Instructor for R bootcamp workshop

Workshop, Department of Population and Public Health Sciences, Keck School of Medicine, USC, 2022

Parallel computing in R, basic Linux commands and batch jobs on HPC.

Teaching Assistant

Graduate course, Department of Population and Public Health Sciences, Keck School of Medicine, USC, 2024

• Machine Learning for the Health Sciences (Spring 2024)