The Amariuta Lab
  • Home
  • About
  • Publications
  • Github
  • Genome Browser
  • People

Methods Development

IMPACT (Transcription Factor Binding and Cell-Type-Specific Enhancer Prediction)
GitHub   Paper   UCSC Genome Browser
Amariuta, T., Luo, Y., Gazal, S., Davenport, E.E., van de Geijn, B., Ishigaki, K., Westra, H.J., Teslovich, N., Okada, Y., Yamamoto, K. and Price, A.L., 2019. IMPACT: genomic annotation of cell-state-specific regulatory elements inferred from the epigenome of bound transcription factors. The American Journal of Human Genetics (2019).
May 2, 2019

IMPACT 707 for Trans-Ancestry PRS
GitHub   Paper
Amariuta, T., Ishigaki, K., Sugishita, H. et al. Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements. Nat Genet 52, 1346–1354 (2020).
November 30, 2020

TCSC: Tissue Co-regulation SCore Regression (Inferring Causal Cell Types in Disease)
GitHub   Paper
Amariuta, T., Siewert-Rocks, K. & Price, A.L. Modeling tissue co-regulation estimates tissue-specific contributions to disease. Nat Genet 1503–1511 (2023).
August 14, 2023

MAGEPRO: Multi-Ancestry Gene Expression Prediction Regularized Optimization
GitHub   Paper
Akamatsu, K., Golzari, S., Amariuta, T. Powerful mapping of cis-genetic effects on gene expression across diverse populations reveals novel disease-critical genes. medRxiv (2024).
September 26, 2024
No matching items

Contact Information
tamariutabartell [at] ucsd [dot] edu
Franklin Antonio Hall, Voigt Drive, La Jolla, CA 92093

 

Halıcıoğlu Data Science Institute
Department of Medicine
University of California, San Diego