Author

Alistair Turcan

Carnegie Mellon University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Research Focus:fine-mapping· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Martin Jinye ZhangiD· 2 shared Alicia R. MartiniD· 1 shared Andreas R. PfenningiD· 1 shared Apoena Aguiar RibeiroiD· 1 shared Catherine A. ButleriD· 1 shared Christopher A. HaimaniD· 1 shared Devika GodboleiD· 1 shared Dezheng HuoiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Martin Jinye ZhangORCID

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Author profile →

3 papers

Recent·Most cited

Genetic and Cellular Architecture of Breast Cancer Risk Across Ancestries

James Li, Maria Zanti, Jacob Williams, Om B. Jahagirdar, Guochong Jia, Alistair Turcan, Qiang Hu, Jean‐Tristan Brandenburg, Yàn Li, Weang-Kee Ho, Jingmei Li, José Patricio Miranda, Devika Godbole, Julie‐Alexia Dias, Xiaomeng Zhang, , Haoyu Zhang

This study analyzes breast cancer GWAS across multiple ancestries, finding similar heritability and genetic correlations, and identifies shared regulatory and cellular contexts.

JNCI Cancer Spectrum · Sep 25, 2026Peer-reviewedGenetic & Genomic Medicine

Conditional polygenic enrichment distinguishes causal from tagging disease-critical cell populations in single-cell RNA-seq

Alistair Turcan, Kangcheng Hou, Kevin Z. Lin, Andreas R. Pfenning, Saori Sakaue, Martin Jinye Zhang

This paper introduces scDRS-FM, a method to distinguish causal from tagging disease associations in scRNA-seq data, showing it improves power and accuracy in identifying disease-relevant cell populations.

medRxiv · Aug 23, 2026 · PreprintGenetic & Genomic Medicine

Deep-learning-based interpolation of longitudinal microbiome data powers biologically informative discovery

Yixiang Qu, Ruiqi Lyu, Duan Wang, Yifan Dai, Alistair Turcan, Shilin Yu, Jialiu Xie, Jeffrey M. Roach, Catherine A. Butler, Pew‐Thian Yap, Hongtu Zhu B, Stuart G. Dashper, Apoena Aguiar Ribeiro, Didong Li, Kimon Divaris, Di Wu

This paper introduces BGOB, a deep learning framework for longitudinal microbiome interpolation, improving analysis of microbial community trajectories and revealing disease-related associations.

bioRxiv · Feb 17, 2025 · PreprintMicrobiology