Image-based, pooled phenotyping reveals multidimensional, disease-specific variant effects.

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Bibliographic Details
Title: Image-based, pooled phenotyping reveals multidimensional, disease-specific variant effects.
Authors: Pendyala S; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Medical Scientist Training Program, University of Washington, Seattle, WA 98195, USA., Partington K; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Bradley N; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., McEwen AE; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA., Straub G; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Kim HJ; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Fayer S; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA., Holmes DL; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Sitko KA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Garge RK; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA., Wang ZR; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Wheelock MK; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Vandi AJ; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Powell RL; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Friedman CE; Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA., McDermot E; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Kishore N; Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada., Roth FP; Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON M5G 1X5, Canada; Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA., Rubin AF; Collaborative Centre for Genomic Cancer Medicine, University of Melbourne, Melbourne, VIC 3010, Australia; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3050, Australia., Yang KC; Institute for Stem Cell and Regenerative Medicine, University of Washington School of Medicine, Seattle, WA 98109, USA; Center for Cardiovascular Biology, University of Washington, Seattle, WA 98109, USA; Department of Medicine/Cardiology, University of Washington, Seattle, WA 98109, USA; Cardiology, Hospital Specialty Medicine, VA Puget Sound HCS, Seattle, WA 98108, USA., Starita LM; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA., Noble WS; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA., Fowler DM; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA. Electronic address: dfowler@uw.edu.
Source: Cell [Cell] 2026 Jun 25; Vol. 189 (13), pp. 4040-4058.e31. Date of Electronic Publication: 2026 May 12.
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 0413066 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-4172 (Electronic) Linking ISSN: 00928674 NLM ISO Abbreviation: Cell Subsets: MEDLINE
Database: MEDLINE Ultimate
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