PreprintCited by 4CRISPR and Genetic EngineeringGenomics and Rare DiseasesRNA regulation and disease

Editing stem cell genomes at scale to measure variant effects in diverse cell and genetic contexts

Open access
Fayer, Shawn, Garge, Riddhiman K., Hopkins, Melissa, Friedman, Clayton E., McGee, Abby V., Rico, Joshua, Powell, Rachel L., McDermot, Evan +13 more·2025·medRxiv

Abstract

Multiplexed assays of variant effect (MAVEs) systematically measure variant function but have been limited to cancer cell lines rather than disease-relevant cell types. We developed saturation genome editing in human iPSCs (iPSC-SGE) to introduce variant libraries into a single allele of a target gene while programming the genetic background of the second allele, enabling variant assessment across differentiated cell types and genetic contexts at scale. We edited 1,137 variants into MYBPC3 and measured protein abundance in cardiomyocytes and cardiac organoids, accurately identifying pathogenic variants, and resolving variants of uncertain significance. Highlighting the importance of genetic context, we edited 437 POLG variants in two genetic backgrounds and identified loss-of-function and dominant-negative variants. Finally, we illuminate a path for scaling iPSC-SGE by identifying 443 disease genes essential for iPSC or iPSC-derived neuron growth. iPSC-SGE enables systematic assessment of variants in specialized human cell types, advancing MAVEs to empower genomic medicine.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2025.11.12.25340127

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 69

  1. [1]Findlay GM, Daza RM, Martin B, Zhang MD, Leith AP, Gasperini M, Accurate classification of BRCA1 variants with saturation genome editing. Nature. 2018; 562: 217– 222. 30209399 PMC6181777
  2. [2]Buckley M, Terwagne C, Ganner A, Cubitt L, Brewer R, Kim D-K, Saturation genome editing maps the functional spectrum of pathogenic VHL alleles. Nat Genet. 2024; 56: 1446– 1455. 38969834 PMC11250436
  3. [3]Funk JS, Klimovich M, Drangenstein D, Pielhoop O, Hunold P, Borowek A, Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations. Nat Genet. 2025; 57: 140– 153. 39774325 PMC11735402
  4. [4]Erwood S, Bily TMI, Lequyer J, Yan J, Gulati N, Brewer RA, Saturation variant interpretation using CRISPR prime editing. Nat Biotechnol. 2022; 40: 885– 895. 35190686
  5. [5]Sahu S, Galloux M, Southon E, Caylor D, Sullivan T, Arnaudi M, Saturation genome editing-based clinical classification of BRCA2 variants. Nature. 2025; 638: 538– 545. 39779848
  6. [6]Radford EJ, Tan H-K, Andersson MHL, Stephenson JD, Gardner EJ, Ironfield H, Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation. Nat Commun. 2023; 14: 7702. 38057330 PMC10700591
  7. [7]Waters AJ, Brendler-Spaeth T, Smith D, Offord V, Tan HK, Zhao Y, Saturation genome editing of BAP1 functionally classifies somatic and germline variants. Nat Genet. 2024; 56: 1434– 1445. 38969833 PMC11250367
  8. [8]Olvera-León R, Zhang F, Offord V, Zhao Y, Tan HK, Gupta P, High-resolution functional mapping of RAD51C by saturation genome editing. Cell. 2024; 187: 5719– 5734.e19. 39299233 PMC12147941
  9. [9]Huang H, Hu C, Na J, Hart SN, Gnanaolivu RD, Abozaid M, Functional evaluation and clinical classification of BRCA2 variants. Nature. 2025; 638: 528– 537. 39779857 PMC11821525
  10. [10]Landrum MJ, Chitipiralla S, Kaur K, Brown G, Chen C, Hart J, ClinVar: updates to support classifications of both germline and somatic variants. Nucleic Acids Res. 2025; 53: D1313– D1321. 39578691 PMC11701624
  11. [11]DiStefano MT, Goehringer S, Babb L, Alkuraya FS, Amberger J, Amin M, The Gene Curation Coalition: A global effort to harmonize gene-disease evidence resources. Genet Med. 2022; 24: 1732– 1742. 35507016 PMC7613247
  12. [12]Friedman CE, Fayer S, Pendyala S, Chien W-M, Loiben A, Tran L, CRaTER enrichment for on-target gene editing enables generation of variant libraries in hiPSCs. J Mol Cell Cardiol. 2023; 179: 60– 71. 37019277 PMC10208587
  13. [13]Lv W, Qiao L, Petrenko N, Li W, Owens AT, McDermott-Roe C, Functional Annotation of TNNT2 Variants of Uncertain Significance With Genome-Edited Cardiomyocytes. Circulation. 2018; 138: 2852– 2854. 30565988 PMC6309910
  14. [14]Blanch-Asensio A, Grandela C, Brandão KO, de Korte T, Mei H, Ariyurek Y, STRAIGHT-IN enables high-throughput targeting of large DNA payloads in human pluripotent stem cells. Cell Rep Methods. 2022; 2: 100300. 36313798 PMC9606106
  15. [15]Yamamoto Y, Chua K, Ferrasse A, Kirilova A, De Jong HN, Floyd BJ, Scaled multidimensional assays of variant effect identify sequence-function relationships in hypertrophic cardiomyopathy. bioRxiv. 2025. doi: 10.1101/2025.05.23.655878 PMC13506205 42437345 · DOI
  16. [16]Helms AS, Thompson AD, Glazier AA, Hafeez N, Kabani S, Rodriguez J, Spatial and Functional Distribution of Pathogenic Variants and Clinical Outcomes in Patients With Hypertrophic Cardiomyopathy. Circ Genom Precis Med. 2020; 13: 396– 405. 32841044 PMC7676622
  17. [17]Friedman CE, Fayer S, Pendyala S, Chien W-M, Loiben A, Tran L, CRaTER enrichment for on-target gene editing enables generation of variant libraries in hiPSCs. J Mol Cell Cardiol. 2023; 179: 60– 71. 37019277 PMC10208587
  18. [18]Silva AC, Moreira JN, Lobo JMS, Almeida H. Current Applications of Pharmaceutical Biotechnology. Springer Nature; 2020.
  19. [19]Rath A, Mishra A, Ferreira VD, Hu C, Omerza G, Kelly K, Functional interrogation of Lynch syndrome-associated MSH2 missense variants via CRISPR-Cas9 gene editing in human embryonic stem cells. Hum Mutat. 2019; 40: 2044– 2056. 31237724 PMC6810757
  20. [20]Alfares AA, Kelly MA, McDermott G, Funke BH, Lebo MS, Baxter SB, Results of clinical genetic testing of 2,912 probands with hypertrophic cardiomyopathy: expanded panels offer limited additional sensitivity. Genet Med. 2015; 17: 880– 888. 25611685
  21. [21]Ho CY, Day SM, Ashley EA, Michels M, Pereira AC, Jacoby D, Genotype and Lifetime Burden of Disease in Hypertrophic Cardiomyopathy: Insights from the Sarcomeric Human Cardiomyopathy Registry (SHaRe). Circulation. 2018; 138: 1387– 1398. 30297972 PMC6170149
  22. [22]Helms AS, Thompson AD, Glazier AA, Hafeez N, Kabani S, Rodriguez J, Spatial and Functional Distribution of Pathogenic Variants and Clinical Outcomes in Patients With Hypertrophic Cardiomyopathy. Circ Genom Precis Med. 2020; 13: 396– 405. 32841044 PMC7676622
  23. [23]Matreyek KA, Starita LM, Stephany JJ, Martin B, Chiasson MA, Gray VE, Multiplex assessment of protein variant abundance by massively parallel sequencing. Nat Genet. 2018; 50: 874– 882. 29785012 PMC5980760
  24. [24]Pocock MW, Reid JD, Robinson HR, Charitakis N, Krycer JR, Foster SR, Maturation of human cardiac organoids enables complex disease modeling and drug discovery. Nat Cardiovasc Res. 2025; 4: 821– 840. 40562874 PMC12259470
  25. [25]Holman AR, Tran S, Destici E, Farah EN, Li T, Nelson AC, Single-cell multi-modal integrative analyses highlight functional dynamic gene regulatory networks directing human cardiac development. Cell Genom. 2024; 4: 100680. 39437788 PMC11605693
  26. [26]Desai D, Song T, Singh RR, Baby A, McNamara J, Green LC, D389V Variant Induces Hypercontractility in Cardiac Organoids. Cells. 2024; 13. doi: 10.3390/cells13221913 PMC11592734 39594661 · DOI
  27. [27]Li Y, Ma K, Dong Z, Gao S, Zhang J, Huang S, Frameshift variants in C10orf71 cause dilated cardiomyopathy in human, mouse, and organoid models. J Clin Invest. 2024; 134. doi: 10.1172/JCI177172 PMC11178530 38950288 · DOI
  28. [28]Metzl-Raz E, Zhao R, Deshpande S, Powell J, Porter EG, Zouaghi Y, Deep learning the dynamic regulatory sequence code of cardiac organoid differentiation. bioRxiv. 2025. doi: 10.1101/2025.10.15.680997 · DOI
  29. [29]Regalado SG, Qiu C, Lalanne J-B, Martin BK, Duran M, Trapnell C, Barcoded monoclonal embryoids are a potential solution to confounding bottlenecks in mosaic organoid screens. bioRxiv. 2025. doi: 10.1101/2025.05.23.655669 · DOI
  30. [30]Carrier L, Bonne G, Bährend E, Yu B, Richard P, Niel F, Organization and sequence of human cardiac myosin binding protein C gene (MYBPC3) and identification of mutations predicted to produce truncated proteins in familial hypertrophic cardiomyopathy. Circ Res. 1997; 80: 427– 434. 9048664
  31. [31]Marston S, Copeland O ’neal, Gehmlich K, Schlossarek S, Carrier L. How do MYBPC3 mutations cause hypertrophic cardiomyopathy? J Muscle Res Cell Motil. 2012; 33: 75– 80. 22057632
  32. [32]Previs MJ, Beck Previs S, Gulick J, Robbins J, Warshaw DM. Molecular mechanics of cardiac myosin-binding protein C in native thick filaments. Science. 2012; 337: 1215– 1218. 22923435 PMC3561468
  33. [33]Previs MJ, Prosser BL, Mun JY, Previs SB, Gulick J, Lee K, Myosin-binding protein C corrects an intrinsic inhomogeneity in cardiac excitation-contraction coupling. Sci Adv. 2015; 1. doi: 10.1126/sciadv.1400205 PMC4380226 25839057 · DOI
  34. [34]Einheber S, Fischman DA. Isolation and characterization of a cDNA clone encoding avian skeletal muscle C-protein: an intracellular member of the immunoglobulin superfamily. Proc Natl Acad Sci U S A. 1990; 87: 2157– 2161. 2315308 PMC53645
  35. [35]Okagaki T, Weber FE, Fischman DA, Vaughan KT, Mikawa T, Reinach FC. The major myosin-binding domain of skeletal muscle MyBP-C (C protein) resides in the COOH-terminal, immunoglobulin C2 motif. J Cell Biol. 1993; 123: 619– 626. 8227129 PMC2200114
  36. [36]Miyamoto CA, Fischman DA, Reinach FC. The interface between MyBP-C and myosin: site-directed mutagenesis of the CX myosin-binding domain of MyBP-C. J Muscle Res Cell Motil. 1999; 20: 703– 715. 10672519
  37. [38]Maron BJ, Gardin JM, Flack JM, Gidding SS, Kurosaki TT, Bild DE. Prevalence of hypertrophic cardiomyopathy in a general population of young adults. Echocardiographic analysis of 4111 subjects in the CARDIA Study. Coronary Artery Risk Development in (Young) Adults. Circulation. 1995; 92: 785– 789. 7641357
  38. [39]Topriceanu C-C, Pereira AC, Moon JC, Captur G, Ho CY. Meta-Analysis of Penetrance and Systematic Review on Transition to Disease in Genetic Hypertrophic Cardiomyopathy. Circulation. 2024; 149: 107– 123. 37929589 PMC10775968
  39. [40]Lorenzini M, Norrish G, Field E, Ochoa JP, Cicerchia M, Akhtar MM, Penetrance of Hypertrophic Cardiomyopathy in Sarcomere Protein Mutation Carriers. J Am Coll Cardiol. 2020; 76: 550– 559. 32731933 PMC7397507
  40. [41]Brnich SE, Abou Tayoun AN, Couch FJ, Cutting GR, Greenblatt MS, Heinen CD, Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework. Genome Med. 2019; 12: 3. 31892348 PMC6938631
  41. [42]Hance N, Ekstrand MI, Trifunovic A. Mitochondrial DNA polymerase gamma is essential for mammalian embryogenesis. Hum Mol Genet. 2005; 14: 1775– 1783. 15888483
  42. [43]Rahman S, Copeland WC. POLG-related disorders and their neurological manifestations. Nat Rev Neurol. 2019; 15: 40– 52. 30451971 PMC8796686
  43. [44]Yilmaz A, Peretz M, Aharony A, Sagi I, Benvenisty N. Defining essential genes for human pluripotent stem cells by CRISPR-Cas9 screening in haploid cells. Nat Cell Biol. 2018; 20: 610– 619. 29662178
  44. [45]Lee Y-S, Kennedy WD, Yin YW. Structural insight into processive human mitochondrial DNA synthesis and disease-related polymerase mutations. Cell. 2009; 139: 312– 324. 19837034 PMC3018533
  45. [46]Stumpf JD, Copeland WC. Mitochondrial DNA replication and disease: insights from DNA polymerase γ mutations. Cell Mol Life Sci. 2011; 68: 219– 233. 20927567 PMC3046768
  46. [47]Stumpf JD, Bailey CM, Spell D, Stillwagon M, Anderson KS, Copeland WC. mip1 containing mutations associated with mitochondrial disease causes mutagenesis and depletion of mtDNA in Saccharomyces cerevisiae. Hum Mol Genet. 2010; 19: 2123– 2133. 20185557 PMC2865372
  47. [48]Jazayeri M, Andreyev A, Will Y, Ward M, Anderson CM, Clevenger W. Inducible expression of a dominant negative DNA polymerase-gamma depletes mitochondrial DNA and produces a rho0 phenotype. J Biol Chem. 2003; 278: 9823– 9830. 12645575
  48. [49]Luscombe NM, Laskowski RA, Thornton JM. Amino acid-base interactions: a three-dimensional analysis of protein-DNA interactions at an atomic level. Nucleic Acids Res. 2001; 29: 2860– 2874. 11433033 PMC55782
  49. [50]Park J, Herrmann GK, Mitchell PG, Sherman MB, Yin YW. Polγ coordinates DNA synthesis and proofreading to ensure mitochondrial genome integrity. Nat Struct Mol Biol. 2023; 30: 812– 823. 37202477 PMC10920075
  50. [51]Woodbridge P, Liang C, Davis RL, Vandebona H, Sue CM. POLG mutations in Australian patients with mitochondrial disease. Intern Med J. 2013; 43: 150– 156. 22647225
  51. [52]Rempe T, Kuhlenbäumer G, Krüger S, Biskup S, Matschke J, Hagel C, Early-onset parkinsonism due to compound heterozygous POLG mutations. Parkinsonism Relat Disord. 2016; 29: 135– 137. 27185166
  52. [53]Davidzon G, Greene P, Mancuso M, Klos KJ, Ahlskog JE, Hirano M, Early-onset familial parkinsonism due to POLG mutations. Ann Neurol. 2006; 59: 859– 862. 16634032
  53. [54]Lu C, Garipler G, Dai C, Roush T, Salome-Correa J, Martin A, Essential transcription factors for induced neuron differentiation. Nat Commun. 2023; 14: 8362. 38102126 PMC10724217
  54. [56]Gonçalves E, Thomas M, Behan FM, Picco G, Pacini C, Allen F, Minimal genome-wide human CRISPR-Cas9 library. Genome Biol. 2021; 22: 40. 33478580 PMC7818936
  55. [57]Blomen VA, Májek P, Jae LT, Bigenzahn JW, Nieuwenhuis J, Staring J, Gene essentiality and synthetic lethality in haploid human cells. Science. 2015; 350: 1092– 1096. 26472760
  56. [58]Brosh R, Laurent JM, Ordoñez R, Huang E, Hogan MS, Hitchcock AM, A versatile platform for locus-scale genome rewriting and verification. Proc Natl Acad Sci U S A. 2021; 118. doi: 10.1073/pnas.2023952118 PMC7958457 33649239 · DOI
  57. [59]Mitchell LA, McCulloch LH, Pinglay S, Berger H, Bosco N, Brosh R, De novo assembly and delivery to mouse cells of a 101 kb functional human gene. Genetics. 2021; 218. doi: 10.1093/genetics/iyab038 PMC8128383 33742653 · DOI · Paper page
  58. [60]Mallory BJ, Tullius TW, Biar CG, Gustafson JA, Bohaczuk SC, Dubocanin D, Principles and functional consequences of plasmid chromatinization in mammalian cells. bioRxiv. 2025. doi: 10.1101/2025.05.27.656122 · DOI
  59. [61]Cheng J, Novati G, Pan J, Bycroft C, Žemgulytė A, Applebaum T, Accurate proteome-wide missense variant effect prediction with AlphaMissense. Science. 2023; 381: eadg7492. 37733863
  60. [62]Folta A, Sedeño Cortés AE, Gupta P, McEwen AE, Kao EY, Horike-Pyne M, Imprecision medicine: Systematic gaps in reporting variants of uncertain significance (VUS) and their reclassifications. Genet Med. 2025; 27: 101501. 40542645 PMC12354246
  61. [63]Wang C, Ward ME, Chen R, Liu K, Tracy TE, Chen X, Scalable Production of iPSC-Derived Human Neurons to Identify Tau-Lowering Compounds by High-Content Screening. Stem Cell Reports. 2017; 9: 1221– 1233. 28966121 PMC5639430
  62. [64]Xie Z, Bailey A, Kuleshov MV, Clarke DJB, Evangelista JE, Jenkins SL, Gene Set Knowledge Discovery with Enrichr. Curr Protoc. 2021; 1: e90. 33780170 PMC8152575
  63. [65]Schubach M, Maass T, Nazaretyan L, Röner S, Kircher M. CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions. Nucleic Acids Res. 2024; 52: D1143– D1154. 38183205 PMC10767851
  64. [66]Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. Am J Hum Genet. 2016; 99: 877– 885. 27666373 PMC5065685
  65. [68]Pejaver V, Urresti J, Lugo-Martinez J, Pagel KA, Lin GN, Nam H-J, Inferring the molecular and phenotypic impact of amino acid variants with MutPred2. Nat Commun. 2020; 11: 5918. 33219223 PMC7680112
  66. [69]Friedman CE, Fayer S, Pendyala S, Chien W-M, Loiben A, Tran L, CRaTER enrichment for on-target gene editing enables generation of variant libraries in hiPSCs. J Mol Cell Cardiol. 2023; 179: 60– 71. 37019277 PMC10208587
  67. [70]Cardioids reveal self-organizing principles of human cardiogenesis. Cell. 2021; 184: 3299– 3317.e22. 34019794
  68. [71]Schmidt C, Deyett A, Ilmer T, Haendeler S, Torres Caballero A, Novatchkova M, Multi-chamber cardioids unravel human heart development and cardiac defects. Cell. 2023; 186: 5587– 5605.e27. 38029745
  69. [73]Wang C, Ward ME, Chen R, Liu K, Tracy TE, Chen X, Scalable Production of iPSC-Derived Human Neurons to Identify Tau-Lowering Compounds by High-Content Screening. Stem Cell Reports. 2017; 9: 1221– 1233. 28966121 PMC5639430

Cited by

Sorted by citations

Authors
Fayer, S., Garge, R. K., Hopkins, M., Friedman, C. E., McGee, A. V., Rico, J., Powell, R. L., McDermot, E., Smith, N. T., Pendyala, S., Richardson, M. E., Smith, E. D., Bowen, B. M., Resnick, R., Gupta, P., Stergachis, A. B., Gifford, C., Pinglay, S., Yang, K.-C., Fowler, D. M., & Starita, L. M.
Affiliations
  • University of Washington (US)
  • Stanford Medicine (US)
  • Ambry Genetics (United States) (US)
Corresponding author
Fayer, Shawn
Venue
medRxiv
Publisher
openRxiv
Published
2025-11-14
OpenAlex
W4416347536
Cited by
4
References
4
Citations by year
2026: 4
Type
posted content
Language
en
Open access
Locations
  • medRxiv (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (submittedVersion, cc-by)
Funders
  • National Human Genome Research Institute (RM1HG010461, R01HG013025, T32HG000035)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK017047)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
Keywords
saturation genome editing, MAVE, iPSC-derived cardiomyocytes, cardiac organoids, MYBPC3, DNA polymerase gamma, variants of uncertain significance, loss-of-function mutations, dominant-negative mutant, iPSC-derived neurons, genetic background, cardiomyopathy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review