Author

Christa Ventresca

University of MichiganORCID 0000-0001-7406-2579Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:ATAC-seq· 2 Research Focus:gene regulatory network inference· 2 Research Focus:GWAS / association mapping· 2 Assay:scATAC-seq· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

Arushi VarshneyiD· 3 shared Karen L. MohlkeiD· 3 shared Peter OrchardiD· 3 shared Stephen C.J. ParkeriD· 3 shared Charles BurantiD· 2 shared Francis S. CollinsiD· 2 shared Heikki A. KoistineniD· 2 shared Jouko SaramiesiD· 2 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Arushi VarshneyORCID

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3 papers

Recent·Most cited

GeneticsbioRxivPreprintJun 19, 2026

Donor-matched iPSC model reveals context-dependent T2D genetic signals in fibro-adipogenic progenitors

Christa Ventresca, Arushi Varshney, Peter Orchard…·Stephen C.J. Parker

The paper uses donor-matched iPSC-derived FAPs to show that T2D GWAS signals are enriched in adipogenic FAP subtypes under high-insulin exposure.

DOI 10.64898/2026.02.04.702388

𝕏 PostBluesky

GenomicsbioRxivPreprintDec 15, 2023

Population-scale skeletal muscle single-nucleus multi-omic profiling reveals extensive context specific genetic regulation

Arushi Varshney, Nandini Manickam, Peter Orchard…·Stephen C.J. Parker

The paper performs population-scale single-nucleus multi-omic profiling of skeletal muscle to identify genetic regulation across cell types and traits.

18 citations

𝕏 PostBluesky

GenomicsGenome ResearchPeer-reviewedDec 1, 2021

Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits

Peter Orchard, Nandini Manickam, Christa Ventresca…·Stephen C.J. Parker

The paper integrates snATAC-seq and snRNA-seq data from human and rat skeletal muscle to identify cell types, regulatory elements, and SNPs associated with complex traits.

57 citations

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