Cited by 21Genetics and Neurodevelopmental DisordersGenomics and Rare DiseasesGenomic variations and chromosomal abnormalities

Deleterious, protein-altering variants in the transcriptional coregulator ZMYM3 in 27 individuals with a neurodevelopmental delay phenotype

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Hiatt, Susan M., Trajkova, Slavica, Sebastiano, Matteo Rossi, Partridge, E. Christopher, Abidi, Fatima E., Anderson, Ashlyn, Ansar, Muhammad, Antonarakis, Stylianos E. +76 more·2023·The American Journal of Human Genetics

Abstract

Neurodevelopmental disorders (NDDs) result from highly penetrant variation in hundreds of different genes, some of which have not yet been identified. Using the MatchMaker Exchange, we assembled a cohort of 27 individuals with rare, protein-altering variation in the transcriptional coregulator ZMYM3, located on the X chromosome. Most (n = 24) individuals were males, 17 of which have a maternally inherited variant; six individuals (4 male, 2 female) harbor de novo variants. Overlapping features included developmental delay, intellectual disability, behavioral abnormalities, and a specific facial gestalt in a subset of males. Variants in almost all individuals (n = 26) are missense, including six that recurrently affect two residues. Four unrelated probands were identified with inherited variation affecting Arg441, a site at which variation has been previously seen in NDD-affected siblings, and two individuals have de novo variation resulting in p.Arg1294Cys (c.3880C>T). All variants affect evolutionarily conserved sites, and most are predicted to damage protein structure or function. ZMYM3 is relatively intolerant to variation in the general population, is widely expressed across human tissues, and encodes a component of the KDM1A-RCOR1 chromatin-modifying complex. ChIP-seq experiments on one variant, p.Arg1274Trp, indicate dramatically reduced genomic occupancy, supporting a hypomorphic effect. While we are unable to perform statistical evaluations to definitively support a causative role for variation in ZMYM3, the totality of the evidence, including 27 affected individuals, recurrent variation at two codons, overlapping phenotypic features, protein-modeling data, evolutionary constraint, and experimentally confirmed functional effects strongly support ZMYM3 as an NDD-associated gene.

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  1. Cooper, G.M., Coe, B.P., Girirajan, S., Rosenfeld, J.A., Vu, T.H., Baker, C., Williams, C., Stalker, H., Hamid, R., Hannig, V., et al. (2011). A copy number variation morbidity map of develop- mental delay. Nat. Genet. 43, 838-846. https://doi.org/10. 1038/ng.909. · DOI · Paper page
  2. Srivastava, S., Love-Nichols, J.A., Dies, K.A., Ledbetter, D.H., Martin, C.L., Chung, W.K., Firth, H.V., Frazier, T., Hansen, R.L., Prock, L., et al. (2019). Meta-analysis and multidisci- plinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmen- tal disorders. Genet. Med. 21, 2413-2421. https://doi.org/10. 1038/S41436-019-0554-6. · DOI · Paper page
  3. Bamshad, M.J., Nickerson, D.A., and Chong, J.X. (2019). Men- delian gene discovery: fast and furious with no end in sight. Am. J. Hum. Genet. 105, 448-455. https://doi.org/10.1016/J. AJHG.2019.07.011. · DOI
  4. Hakimi, M.-A., Dong, Y., Lane, W.S., Speicher, D.W., and Shie- khattar, R. (2003). A candidate X-linked mental retardation gene is a component of a new family of histone deacetylase- containing complexes. J. Biol. Chem. 278, 7234-7239. https://doi.org/10.1074/jbc.M208992200. · DOI
  5. Shapson-Coe, A., Valeiras, B., Wall, C., and Rada, C. (2019). Aicardi-Goutie `res Syndrome associated mutations of RNase H2B impair its interaction with ZMYM3 and the CoREST his- tone-modifying complex. PLoS One 14, e0213553. https:// doi.org/10.1371/JOURNAL.PONE.0213553. · DOI · Paper page
  6. Hu, X., Shen, B., Liao, S., Ning, Y., Ma, L., Chen, J., Lin, X., Zhang, D., Li, Z., Zheng, C., et al. (2017). Gene knockout of Zmym3 in mice arrests spermatogenesis at meiotic metaphase with defects in spindle assembly checkpoint. Cell Death Dis. 8, e2910. https://doi.org/10.1038/cddis. 2017.228. · DOI
  7. Leung, J.W.C., Makharashvili, N., Agarwal, P., Chiu, L.-Y., Pourpre, R., Cammarata, M.B., Cannon, J.R., Sherker, A., Durocher, D., Brodbelt, J.S., et al. (2017). ZMYM3 regulates BRCA1 localization at damaged chromatin to promote DNA repair. Genes Dev. 31, 260-274. https://doi.org/10.1101/gad. 292516.116. · DOI
  8. Philips, A.K., Sire ´n, A., Avela, K., Somer, M., Peippo, M., Ahve- nainen, M., Doagu, F., Arvio, M., Ka ¨a ¨ria ¨inen, H., Van Esch, H., et al. (2014). X-exome sequencing in Finnish families with In- tellectual Disability -Four novel mutations and two novel syn- dromic phenotypes. Orphanet J. Rare Dis. 9, 49. https://doi. org/10.1186/1750-1172-9-49. · DOI
  9. Boycott, K.M., Azzariti, D.R., Hamosh, A., and Rehm, H.L. (2022). Seven years since the launch of the matchmaker ex- change: the evolution of genomic matchmaking. Hum. Mu- tat. 43, 659-667. https://doi.org/10.1002/HUMU.24373. · DOI
  10. Hamosh, A., Wohler, E., Martin, R., Griffith, S., Rodrigues, E.d.S., Antonescu, C., Doheny, K.F., Valle, D., and Sobreira, N. (2022). The impact of GeneMatcher on international data sharing and collaboration. Hum. Mutat. 43, 668-673. https://doi.org/10.1002/HUMU.24350. · DOI
  11. Osmond, M., Hartley, T., Johnstone, B., Andjic, S., Girdea, M., Gillespie, M., Buske, O., Dumitriu, S., Koltunova, V., Ramani, A., et al. (2022). PhenomeCentral: 7 years of rare disease matchmaking. Hum. Mutat. 43, 674-681. https://doi.org/10. 1002/HUMU.24348. · DOI
  12. Pettersen, E.F., Goddard, T.D., Huang, C.C., Couch, G.S., Greenblatt, D.M., Meng, E.C., and Ferrin, T.E. (2004). UCSF Chimera-a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605-1612. https://doi.org/ 10.1002/JCC.20084. · DOI
  13. Rossi Sebastiano, M., Ermondi, G., Hadano, S., and Caron, G. (2022). AI-based protein structure databases have the po- tential to accelerate rare diseases research: AlphaFoldDB and the case of IAHSP/Alsin. Drug Discov. Today 27, 1652-1660. https://doi.org/10.1016/J.DRUDIS.2021.12.018. · DOI
  14. Savic, D., Partridge, E.C., Newberry, K.M., Smith, S.B., Meadows, S.K., Roberts, B.S., Mackiewicz, M., Mendenhall, E.M., and Myers, R.M. (2015). CETCh-seq: CRISPR epitope tagging ChIP-seq of DNA-binding proteins. Genome Res. 25, 1581-1589. https://doi.org/10.1101/GR.193540.115. · DOI
  15. Meadows, S.K., Brandsmeier, L.A., Newberry, K.M., Betti, M.J., Nesmith, A.S., Mackiewicz, M., Partridge, E.C., Mendenhall, E.M., and Myers, R.M. (2020). Epitope tagging ChIP-seq of DNA binding proteins using CETCh-seq. Methods Mol. Biol. 2117, 3-34. https://doi.org/10.1007/978-1-0716-0301-7_1/ COVER. · DOI
  16. Kharchenko, P.V., Tolstorukov, M.Y., and Park, P.J. (2008). Design and analysis of ChIP-seq experiments for DNA-bind- ing proteins. Nat. Biotechnol. 26, 1351-1359. https://doi. org/10.1038/nbt.1508. · DOI
  17. Li, Q., Brown, J.B., Huang, H., and Bickel, P.J. (2011). Measuring Reproducibility of High-Throughput Experiments. Ann. Appl. Stat. 5, 1752-1779. https://doi.org/10.1214/11- AOAS466. · DOI
  18. Landt, S.G., Marinov, G.K., Kundaje, A., Kheradpour, P., Pauli, F., Batzoglou, S., Bernstein, B.E., Bickel, P., Brown, J.B., Cayt- ing, P., et al. (2012). ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia. Genome Res. 22, 1813-1831. https://doi.org/10.1101/GR.136184.111. · DOI · Paper page
  19. Lun, A.T.L., and Smyth, G.K. (2016). csaw: a Bioconductor package for differential binding analysis of ChIP-seq data us- ing sliding windows. Nucleic Acids Res. 44, e45. https://doi. org/10.1093/NAR/GKV1191. · DOI
  20. Kircher, M., Witten, D.M., Jain, P., O'Roak, B.J., Cooper, G.M., and Shendure, J. (2014). A general framework for estimating the relative pathogenicity of human genetic variants. Nat. Genet. 46, 310-315. https://doi.org/10.1038/ng.2892. · DOI · Paper page
  21. Cooper, G.M., Stone, E.A., Asimenos, G., NISC Comparative Sequencing Program, Green, E.D., Batzoglou, S., and Sidow, A. (2005). Distribution and intensity of constraint in mamma- lian genomic sequence. Genome Res. 15, 901-913. https:// doi.org/10.1101/GR.3577405. · DOI · Paper page
  22. Connaughton, D.M., Dai, R., Owen, D.J., Marquez, J., Mann, N., Graham-Paquin, A.L., Nakayama, M., Coyaud, E., Laurent, E.M.N., St-Germain, J.R., et al. (2020). Mutations of the tran- scriptional corepressor ZMYM2 cause syndromic urinary tract malformations. Am. J. Hum. Genet. 107, 727-742. https://doi. org/10.1016/J.AJHG.2020.08.013. · DOI
  23. Lek, M., Karczewski, K.J., Minikel, E.V., Samocha, K.E., Banks, E., Fennell, T., O'Donnell-Luria, A.H., Ware, J.S., Hill, A.J., Cummings, B.B., et al. (2016). Analysis of protein-coding ge- netic variation in 60, 706 humans. Nature 536, 285-291. https://doi.org/10.1038/nature19057. · DOI · Paper page
  24. Bertelsen, B., Tu ¨mer, Z., and Ravn, K. (2011). Three new loci for determining x chromosome inactivation patterns. J. Mol. Diagn. 13, 537-540. https://doi.org/10.1016/J.JMOLDX.2011. 05.003. · DOI
  25. Machado, F.B., Machado, F.B., Faria, M.A., Lovatel, V.L., Alves Da Silva, A.F., Radic, C.P., De Brasi, C.D., Rios, A ´.F.L., de Sousa Lopes, S.M.C., da Silveira, L.S., et al. (2014). 5meCpG epige- netic marks neighboring a primate-conserved core promoter short tandem repeat indicate X-chromosome inactivation. PLoS One 9, e103714. https://doi.org/10.1371/JOURNAL. PONE.0103714. · DOI
  26. Mariani, V., Biasini, M., Barbato, A., and Schwede, T. (2013). lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests. Bioinformatics 29, 2722-2728. https://doi.org/10.1093/BIO- INFORMATICS/BTT473. · DOI · Paper page
  27. Kumar, M., Michael, S., Alvarado-Valverde, J., Me ´sza ´ros, B., Sa ´- mano-Sa ´nchez, H., Zeke, A., Dobson, L., Lazar, T., O ¨rd, M., Nagpal, A., et al. (2022). The Eukaryotic Linear Motif resource: 2022 release. Nucleic Acids Res. 50, D497-D508. https://doi.org/10.1093/NAR/GKAB975. · DOI
  28. Johnson, D.S., Mortazavi, A., Myers, R.M., and Wold, B. (2007). Genome-wide mapping of in vivo protein-DNA inter- actions. Science 316, 1497-1502. https://doi.org/10.1126/ SCIENCE.1141319/SUPPL_FILE/JOHNSON.SOM-5-30.PDF. · DOI
  29. Landrum, M.J., Lee, J.M., Benson, M., Brown, G., Chao, C., Chitipiralla, S., Gu, B., Hart, J., Hoffman, D., Hoover, J., et al. (2016). ClinVar: public archive of interpretations of clin- ically relevant variants. Nucleic Acids Res. 44, D862-D868. https://doi.org/10.1093/nar/gkv1222. · DOI · Paper page
  30. Chong, J.X., Yu, J.H., Lorentzen, P., Park, K.M., Jamal, S.M., Tabor, H.K., Rauch, A., Saenz, M.S., Boltshauser, E., Patter- son, K.E., et al. (2016). Gene discovery for Mendelian condi- tions via social networking: de novo variants in KDM1A cause developmental delay and distinctive facial features. Genet. Med. 18, 788-795. https://doi.org/10.1038/GIM. 2015.161. · DOI
  31. Kumble, S., Levy, A.M., Punetha, J., Gao, H., Ah Mew, N., Anyane-Yeboa, K., Benke, P.J., Berger, S.M., Bjerglund, L., Campos-Xavier, B., et al. (2022). The clinical and molecular spectrum of QRICH1 associated neurodevelopmental disor- der. Hum. Mutat. 43, 266-282. https://doi.org/10.1002/HUMU. 24308. · DOI
  32. ENCODE Project Consortium, Kundaje, A., Aldred, S.F., Collins, P.J., Davis, C.A., Doyle, F., Epstein, C.B., Frietze, S., Harrow, J., Kaul, R., et al. (2012). An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57-74. https://doi.org/10.1038/NATURE11247. · DOI · Paper page
  33. Nasser, J., Bergman, D.T., Fulco, C.P., Guckelberger, P., Doughty, B.R., Patwardhan, T.A., Jones, T.R., Nguyen, T.H., Ulirsch, J.C., Lekschas, F., et al. (2021). Genome-wide enhancer maps link risk variants to disease genes. Nature 593, 238-243. https:// doi.org/10.1038/S41586-021-03446-X. · DOI · Paper page
  34. Gupta, A.R., Pirruccello, M., Cheng, F., Kang, H.J., Fernan- dez, T.V., Baskin, J.M., Choi, M., Liu, L., Ercan-Sencicek, A.G., Murdoch, J.D., et al. (2014). Rare deleterious mutations of the gene EFR3A in autism spectrum disorders. Mol. Autism. 5, 31. https://doi.org/10.1186/2040-2392- 5-31. · DOI

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Authors
Hiatt, S. M., Trajkova, S., Sebastiano, M. R., Partridge, E. C., Abidi, F. E., Anderson, A., Ansar, M., Antonarakis, S. E., Azadi, A., Bachmann-Gagescu, R., Bartuli, A., Benech, C., Berkowitz, J. L., Betti, M. J., Brusco, A., Cannon, A., Caron, G., Chen, Y., Cochran, M. E., Coleman, T. F., Crenshaw, M. M., Cuisset, L., Curry, C. J., Darvish, H., Demirdas, S., Descartes, M., Douglas, J., Dyment, D. A., Elloumi, H. Z., Ermondi, G., Faoucher, M., Farrow, E. G., Felker, S. A., Fisher, H., Hurst, A. C. E., Joset, P., Kelly, M. A., Kmoch, S., Leadem, B. R., Lyons, M. J., Macchiaiolo, M., Magner, M., Mandrile, G., Mattioli, F., McEown, M., Meadows, S. K., Medne, L., Meeks, N. J. L., Montgomery, S., Napier, M. P., Natowicz, M., Newberry, K. M., Niceta, M., Noskova, L., Nowak, C. B., Noyes, A. G., Osmond, M., Prijoles, E. J., Pugh, J., Pullano, V., Quélin, C., Rahimi-Aliabadi, S., Rauch, A., Redon, S., Reymond, A., Schwager, C. R., Sellars, E. A., Scheuerle, A. E., Shukarova-Angelovska, E., Skraban, C., Stolerman, E., Sullivan, B. R., Tartaglia, M., Thiffault, I., Uguen, K., Umaña, L. A., van Bever, Y., van der Crabben, S. N., van Slegtenhorst, M. A., Waisfisz, Q., Washington, C., Rodan, L. H., Myers, R. M., & Cooper, G. M.
Affiliations
  • HudsonAlpha Institute for Biotechnology (US)
  • University of Turin (IT)
  • Greenwood Genetic Center (US)
  • Dow University of Health Sciences (PK)
  • University of Geneva (CH)
  • Golestan University of Medical Sciences (IR)
  • Bambino Gesù Children's Hospital (IT)
  • Vanderbilt University Medical Center (US)
  • University of Alabama at Birmingham (US)
  • University of Colorado Anschutz (US)
  • Université Paris Cité (FR)
  • University of California, San Francisco (US)
  • Erasmus MC (NL)
  • Boston Children's Hospital (US)
  • Children's Hospital of Eastern Ontario (CA)
  • Centre National de la Recherche Scientifique (FR)
  • Children's Mercy Hospital (US)
  • Children's Medical Center (US)
  • University Hospital of Basel (CH)
  • Charles University (CZ)
  • Ospedale San Luigi Gonzaga (IT)
  • University of Lausanne (CH)
  • Cleveland Clinic (US)
  • University of Utah (US)
  • University of Zurich (CH)
  • Inserm (FR)
  • Arkansas Children's Hospital (US)
  • The University of Texas Southwestern Medical Center (US)
  • Children's Hospital of Philadelphia (US)
  • Amsterdam Neuroscience (NL)
Corresponding author
  • Hiatt, Susan M.
  • Cooper, Gregory M.
Venue
The American Journal of Human Genetics
Publisher
Elsevier BV
Published
2023-02
Volume
110
Issue
2
Pages
215-227
ISSN
0002-9297 (ISSN-L)
OpenAlex
W4313368991
Cited by
21
References
5
Citations by year
2026: 8 · 2025: 3 · 2024: 6 · 2023: 4
FWCI
1.96
Type
journal article
Language
en
Open access
Locations
  • The American Journal of Human Genetics (publishedVersion)
  • PubMed Central (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • HAL (submittedVersion)
  • IRIS (submittedVersion)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion, cc-by)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
  • SERVAL (Université de Lausanne) (submittedVersion)
Funders
  • European Commission
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (31003A_182632, 320030_179547)
  • Ministero della Salute (RCR-2021-23671215)
  • University of Alabama at Birmingham
  • Children's Mercy Hospital
  • National Institute of Nursing Research (LX22NPO5107)
  • Fondazione CRT
  • Univerzita Karlova v Praze (UNCE/MED/007)
  • Ministerstvo Zdravotnictví Ceské Republiky (NV19-07-00136)
  • National Institute of Mental Health (F31MH126628)
  • Ministero dell’Istruzione, dell’Università e della Ricerca (FOE 2019, RVO VFN 64165)
  • National Human Genome Research Institute (UM1HG007301)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
Keywords
neurodevelopmental disorders, neurodevelopmental delay, intellectual disability, X chromosome, transcriptional coregulators, chromatin modification, de novo mutations, maternally inherited variant, protein modeling, evolutionary constraints, facial gestalt
MeSH terms
Face, Female, Gene Expression Regulation, Humans, Male, Intellectual Disability, Nervous System Malformations, Nuclear Proteins, Phenotype, Histone Demethylases, Neurodevelopmental Disorders

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