Image-based, pooled phenotyping reveals multidimensional, disease-specific variant effects
Journal Title
Cell
Publication Type
May 12
Abstract
Genetic variants produce complex phenotypic effects that confound current assays and predictive models. We developed variant in situ sequencing (VIS-seq), a pooled, image-based method measuring variant effects on molecular and cellular phenotypes in diverse cell types. Applying VIS-seq to ∼3,000 LMNA and PTEN variants yielded high-dimensional morphological profiles capturing changes in protein abundance, localization, activity, and cell architecture. VIS-seq identified a subset of linker-subdomain LMNA variants that increase nuclear circularity, in contrast to aggregating or low-abundance rod-subdomain variants that decrease circularity. VIS-seq also identified autism-associated PTEN variants that mislocalize and accurately distinguished autism-linked from tumor syndrome-linked and gnomAD control variants. Most variants impacted a multidimensional phenotypic continuum not recapitulated by any single functional readout. By linking variants to cell images at scale, VIS-seq illuminates how variant effects cascade from molecules to subcellular structures to cells, providing a framework for resolving the complexity of variant function.
Publisher
Cell Press
Keywords
functional genomics; genetic variation; multiplexed assays of variant effect; optical pooled screening; pleiotropy
Research Division(s)
Bioinformatics and Computational Biology
PubMed ID
42127894
Open Access at Publisher's Site
https://doi.org/10.1016/j.cell.2026.04.031
Terms of Use/Rights Notice
Refer to copyright notice on published article.


Creation Date: 2026-05-25 11:04:08
Last Modified: 2026-05-25 11:04:18
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