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Ding X, Singh P, Schimenti K, Tran TN, Fragoza R, Hardy J, Orwig KE, Olszewska M, Kurpisz MK, Yatsenko AN, Conrad DF, Yu H, Schimenti JC. In vivo versus in silico assessment of potentially pathogenic missense variants in human reproductive genes. Proc Natl Acad Sci U S A 2023; 120:e2219925120. [PMID: 37459509 PMCID: PMC10372637 DOI: 10.1073/pnas.2219925120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/25/2023] [Indexed: 07/20/2023] Open
Abstract
Infertility is a heterogeneous condition, with genetic causes thought to underlie a substantial fraction of cases. Genome sequencing is becoming increasingly important for genetic diagnosis of diseases including idiopathic infertility; however, most rare or minor alleles identified in patients are variants of uncertain significance (VUS). Interpreting the functional impacts of VUS is challenging but profoundly important for clinical management and genetic counseling. To determine the consequences of these variants in key fertility genes, we functionally evaluated 11 missense variants in the genes ANKRD31, BRDT, DMC1, EXO1, FKBP6, MCM9, M1AP, MEI1, MSH4 and SEPT12 by generating genome-edited mouse models. Nine variants were classified as deleterious by most functional prediction algorithms, and two disrupted a protein-protein interaction (PPI) in the yeast two hybrid (Y2H) assay. Though these genes are essential for normal meiosis or spermiogenesis in mice, only one variant, observed in the MCM9 gene of a male infertility patient, compromised fertility or gametogenesis in the mouse models. To explore the disconnect between predictions and outcomes, we compared pathogenicity calls of missense variants made by ten widely used algorithms to 1) those annotated in ClinVar and 2) those evaluated in mice. All the algorithms performed poorly in terms of predicting the effects of human missense variants modeled in mice. These studies emphasize caution in the genetic diagnoses of infertile patients based primarily on pathogenicity prediction algorithms and emphasize the need for alternative and efficient in vitro or in vivo functional validation models for more effective and accurate VUS description to either pathogenic or benign categories.
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Affiliation(s)
- Xinbao Ding
- College of Veterinary Medicine, Department of Biomedical Sciences, Cornell University, Ithaca, NY14853
| | - Priti Singh
- College of Veterinary Medicine, Department of Biomedical Sciences, Cornell University, Ithaca, NY14853
| | - Kerry Schimenti
- College of Veterinary Medicine, Department of Biomedical Sciences, Cornell University, Ithaca, NY14853
| | - Tina N. Tran
- College of Veterinary Medicine, Department of Biomedical Sciences, Cornell University, Ithaca, NY14853
| | - Robert Fragoza
- Department of Computational Biology, Cornell University, Ithaca, NY14853
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY14853
| | - Jimmaline Hardy
- School of Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA15213
| | - Kyle E. Orwig
- School of Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA15213
| | - Marta Olszewska
- Institute of Human Genetics, Polish Academy of Sciences, Poznan60-479, Poland
| | - Maciej K. Kurpisz
- Institute of Human Genetics, Polish Academy of Sciences, Poznan60-479, Poland
| | - Alexander N. Yatsenko
- School of Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA15213
| | - Donald F. Conrad
- Oregon Health & Science University, Division of Genetics, Oregon National Primate Research Center, Beaverton, OR97006
| | - Haiyuan Yu
- Department of Computational Biology, Cornell University, Ithaca, NY14853
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY14853
| | - John C. Schimenti
- College of Veterinary Medicine, Department of Biomedical Sciences, Cornell University, Ithaca, NY14853
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