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Genome sequencing identifies major causes of severe intellectual disability
Open accessAbstract
Severe intellectual disability (ID) occurs in 0.5% of newborns and is thought to be largely genetic in origin. The extensive genetic heterogeneity of this disorder requires a genome-wide detection of all types of genetic variation. Microarray studies and, more recently, exome sequencing have demonstrated the importance of de novo copy number variations (CNVs) and single-nucleotide variations (SNVs) in ID, but the majority of cases remain undiagnosed. Here we applied whole-genome sequencing to 50 patients with severe ID and their unaffected parents. All patients included had not received a molecular diagnosis after extensive genetic prescreening, including microarray-based CNV studies and exome sequencing. Notwithstanding this prescreening, 84 de novo SNVs affecting the coding region were identified, which showed a statistically significant enrichment of loss-of-function mutations as well as an enrichment for genes previously implicated in ID-related disorders. In addition, we identified eight de novo CNVs, including single-exon and intra-exonic deletions, as well as interchromosomal duplications. These CNVs affected known ID genes more frequently than expected. On the basis of diagnostic interpretation of all de novo variants, a conclusive genetic diagnosis was reached in 20 patients. Together with one compound heterozygous CNV causing disease in a recessive mode, this results in a diagnostic yield of 42% in this extensively studied cohort, and 62% as a cumulative estimate in an unselected cohort. These results suggest that de novo SNVs and CNVs affecting the coding region are a major cause of severe ID. Genome sequencing can be applied as a single genetic test to reliably identify and characterize the comprehensive spectrum of genetic variation, providing a genetic diagnosis in the majority of patients with severe ID.
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“Because of this bias, the phenotypic overlap between the groups is unclear; the prevalence of ASD in several of the ID/DD-ascertained cohorts is not quantified,13, 14, 15,18,19 and the prevalence of ID in the ASD-ascertained cohorts is known only for a minority subset of participants.11,12”
From Insufficient Evidence for “Autism-Specific” Genes (2020) · cites this paper as [18]
In the citing paper
“Various genetic approaches have been successful in identifying the causes of more than 1,000 Mendelian, and fewer non-Mendelian, forms of neurodevelopmental disorders: prototypical examples are intellectual disability62–68, autism spectrum disorder (ASD)69–77, epilepsy78,79 and schizophrenia80–82.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [68]
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“Additionally, whole-exome sequencing studies of other neurodevelopmental disorders have found enrichment for FMRP targets in rare mutations in schizophrenia81, intellectual disability68 and epilepsy78.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [68]
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Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations
O’Roak, B. J., Vives, L., Girirajan, S., Karakoc, E., Krumm, N., Coe, B. P., Levy, R., Ko, A., Lee, C., Smith, J. D., et al. (2012) · Nature · doi:10.1038/nature10989 · Cited by 2,165
Rate of de novo mutations and the importance of father’s age to disease risk
Kong, A., Frigge, M. L., Masson, G., Besenbacher, S., Sulem, P., Magnusson, G., Gudjonsson, S. A., Sigurdsson, A., Jonasdottir, A., Jonasdottir, A., et al. (2012) · Nature · doi:10.1038/nature11396 · Cited by 2,134
De novo mutations revealed by whole-exome sequencing are strongly associated with autism
Sanders, S. J., Murtha, M. T., Gupta, A. R., Murdoch, J. D., Raubeson, M. J., Willsey, A. J., Ercan-Sencicek, A. G., DiLullo, N. M., Parikshak, N. N., Stein, J. L., et al. (2012) · Nature · doi:10.1038/nature10945 · Cited by 2,084
Patterns and rates of exonic de novo mutations in autism spectrum disorders
Neale, B. M., Kou, Y., Liu, L., Ma’ayan, A., Samocha, K. E., Sabo, A., Lin, C.-F., Stevens, C., Wang, L.-S., Makarov, V., et al. (2012) · Nature · doi:10.1038/nature11011 · Cited by 1,734
Diagnostic exome sequencing in persons with severe intellectual disability
de Ligt, J., Willemsen, M. H., van Bon, B. W. M., Kleefstra, T., Yntema, H. G., Kroes, T., Vulto-van Silfhout, A. T., Koolen, D. A., de Vries, P., Gilissen, C., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1206524 · Cited by 1,546
Self-citationDe novo mutations in epileptic encephalopathies
Epi4K Consortium, & Epilepsy Phenome/Genome Project (2013) · Nature · doi:10.1038/nature12439 · Cited by 1,514
De Novo Gene Disruptions in Children on the Autistic Spectrum
Iossifov, I., Ronemus, M., Levy, D., Wang, Z., Hakker, I., Rosenbaum, J., Yamrom, B., Lee, Y.-H., Narzisi, G., Leotta, A., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.009 · Cited by 1,446
A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes
MacArthur, D. G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J. K., Montgomery, S. B., et al. (2012) · Science · doi:10.1126/science.1215040 · Cited by 1,272
Human Genome Sequencing Using Unchained Base Reads on Self-Assembling DNA Nanoarrays
Drmanac, R., Sparks, A. B., Callow, M. J., Halpern, A. L., Burns, N. L., Kermani, B. G., Carnevali, P., Nazarenko, I., Nilsen, G. B., Yeung, G., et al. (2010) · Science · doi:10.1126/science.1181498 · Cited by 1,212
Research works printed but not linked: 1
- Bell, J. B. D., Sistermans, E. & Ramsden, S. C. Practice guidelines for the Interpretation and Reporting of Unclassified Variants (UVs) in Clinical Molecular Genetics (The UK Clinical Molecular Genetics Society and the Dutch Society of Clinical Genetic Laboratory Specialists, 2007)
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Tørring, P. M., Larsen, M. J., Brasch‐Andersen, C., Krogh, L., Kibæk, M., Laulund, L. W., Illum, N. O., Dunkhase‐Heinl, U., Wiesener, A., Popp, B., et al. (2018) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2018.06.014 · Cited by 35
Goos, J. A. C., Vogel, W., Mlčochová, H., Millard, C. J., Esfandiari, E., Selman, W. H., Calpena, E., Koelling, N., Carpenter, E. L., Swagemakers, S. M. A., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz072 · Cited by 36
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Sun, Y., Xiang, J., Liu, Y., Chen, S., Yu, J., Peng, J., Liu, Z., Chen, L., Sun, J., Yang, Y. S., et al. (2019) · BMC Medical Genomics · doi:10.1186/s12920-019-0531-6 · Cited by 35
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Aggarwal, S., Vineeth, V. S., Bhowmik, A. D., Tandon, A., Kulkarni, A., Narayanan, D. L., Bhattacherjee, A., & Dalal, A. B. (2019) · Prenatal Diagnosis · doi:10.1002/pd.5616 · Cited by 37
Study, C., Nambot, S., Faivre, L. O., Mirzaa, G., Thévenon, J., Bruel, A., Mosca‐Boidron, A., Masurel, A., Goldenberg, A., Meur, N. L., et al. (2020) · European Journal of Human Genetics · doi:10.1038/s41431-020-0571-6 · Cited by 35
Cunniff, M. M., Markenscoff-Papadimitriou, E., Ostrowski, J., Rubenstein, J. L. R., & Sohal, V. S. (2020) · eLife · doi:10.7554/elife.54835 · Cited by 40
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Alade, A. A., Awotoye, W. A., & Butali, A. (2022) · Oral Diseases · doi:10.1111/odi.14146 · Cited by 38
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Sallevelt, S. C. E. H., de Koning, B., Szklarczyk, R., Paulussen, A. D. C., de Die-Smulders, C. E. M., & Smeets, H. J. M. (2016) · Genetics in Medicine · doi:10.1038/gim.2016.153 · Cited by 35
An RNA interference screen identifies druggable regulators of MeCP2 stability
Lombardi, L. M., Zaghlula, M., Sztainberg, Y., Baker, S. A., Klisch, T. J., Tang, A. A., Huang, E. J., & Zoghbi, H. Y. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf7588 · Cited by 35
Silverman, J. L., & Ellegood, J. (2018) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000537 · Cited by 35
Kumar, R., Corbett, M. A., van Bon, B. W. M., Gardner, A. E., Woenig, J. A., Jolly, L. A., Douglas, E., Friend, K. L., Tan, C., Esch, H. V., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv414 · Cited by 36
Murray, C. R., Abel, S., McClure, M., Foster, J. M., Walke, M., Jayakar, P., Bademci, G., & Tekin, M. (2017) · Journal of Pediatric Genetics · doi:10.1055/s-0037-1598639 · Cited by 34
Reggiani, C., Coppens, S., Sékhara, T., Dimov, I., Pichon, B., Lufin, N., Addor, M., Belligni, E. F., Digilio, M. C., Faletra, F., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0452-y · Cited by 35
Qu, X., Li, M., Zhang, H., Lin, C., Wang, F., Xiao, M., Zhou, Y., Shi, J., Aldalbahi, A. K., Pei, H., et al. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b10116 · Cited by 34
Mucha, B. E., Banka, S., Ajeawung, N. F., Molidperee, S., Chen, G. G., Koenig, M. K., Adejumo, R. B., Till, M., Harbord, M. G., Perrier, R., et al. (2018) · Genetics in Medicine · doi:10.1038/s41436-018-0290-3 · Cited by 34
Autism Spectrum Disorder-Related Syndromes: Modeling with Drosophila and Rodents
Ueoka, I., Pham, H. T. N., Matsumoto, K., & Yamaguchi, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20174071 · Cited by 39
Bi-allelic Variants in IQSEC1 Cause Intellectual Disability, Developmental Delay, and Short Stature
Ansar, M., Chung, H.-L., Al‐Otaibi, A., Elagabani, M. N., Ravenscroft, T. A., Paracha, S. A., Scholz, R., Abdelmagid, T. A. M., Sarwar, M. T., Shah, S. F., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.09.013 · Cited by 35
Bruel, A., Vitobello, A., Mau‐Them, F. T., Nambot, S., Sorlin, A., Denommé‐Pichon, A., Delanne, J., Moutton, S., Callier, P., Duffourd, Y., et al. (2020) · Clinical Genetics · doi:10.1111/cge.13764 · Cited by 39
Kolarova, J., Tangen, I. M., Bens, S., Gillessen‐Kaesbach, G., Gutwein, J., Kautza, M., Rydzanicz, M., Stephani, U., Siebert, R., Ammerpohl, O., et al. (2015) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2015.05.001 · Cited by 34
Whole genome sequencing vs chromosomal microarray analysis in prenatal diagnosis
Hu, P., Zhang, Q., Cheng, Q., Luo, C., Zhang, C., Zhou, R., Meng, L., Huang, M., Wang, Y., Wang, Y., et al. (2023) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2023.03.005 · Cited by 34
Helsmoortel, C., Vandeweyer, G., Ordoukhanian, P. T., Nieuwerburgh, F. V., der Aa, N. V., & Kooy, R. F. (2014) · Clinical Genetics · doi:10.1111/cge.12470 · Cited by 34
A cross-talk between nitric oxide and the glutamatergic system in a Shank3 mouse model of autism
Hamoudi, W., Tripathi, M. K., Ojha, S. K., & Amal, H. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.06.007 · Cited by 34
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Franco, E. D. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.08.016 · Cited by 35
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Brea‐Fernández, A., Álvarez-Barona, M., Amigo, J., Tubío-Fungueiriño, M., Caamaño, P., Fernández‐Prieto, M., Barros, F., Rubeis, S. D., Buxbaum, J. D., & Carracedo, Á. (2022) · European Journal of Human Genetics · doi:10.1038/s41431-022-01087-w · Cited by 34
Fieremans, N., Esch, H. V., de Ravel, T. J. L., Driessche, J. V., Belet, S., Bauters, M., & Froyen, G. (2015) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2015.03.003 · Cited by 33
De novo POGZ mutations in sporadic autism disrupt the DNA-binding activity of POGZ
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Schönewolf‐Greulich, B., Bisgaard, A., Møller, R. S., Dunø, M., Brøndum‐Nielsen, K., Kaur, S., Bergen, N. J. V., Lunke, S., Eggers, S., Jespersgaard, C., et al. (2017) · Clinical Genetics · doi:10.1111/cge.13153 · Cited by 32
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Piard, J., Hu, J.-H., Campeau, P. M., Rzońca, S., Esch, H. V., Vincent, E., Han, M., Rossignol, E., Castañeda, J., Chelly, J., et al. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx426 · Cited by 33
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Kim, S. H., Kim, B., Lee, J. S., Kim, H. D., Choi, J. R., Lee, S., & Kang, H. (2019) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2019.02.017 · Cited by 32
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Szczałuba, K., Biernacka, A., Szymańska, K., Gasperowicz, P., Kosińska, J., Rydzanicz, M., & Płoski, R. (2017) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2017.11.010 · Cited by 32
Dentici, M. L., Niceta, M., Pantaleoni, F., Barresi, S., Bencivenga, P., Dallapiccola, B., Digilio, M. C., & Tartaglia, M. (2017) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.38255 · Cited by 31
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Vora, N. L., & Hui, L. (2018) · Genetics in Medicine · doi:10.1038/s41436-018-0087-4 · Cited by 33
McRae, J. F., Clayton, S., Fitzgerald, T. W., Kaplanis, J., Prigmore, E., Rajan, D., Sifrim, A., Aitken, S., Akawi, N., Alvi, M., et al. (2016) · doi:10.1101/049056 · Cited by 30
Lin, G. N., Song, W., Wang, W., Wang, P., Yu, H., Cai, W., Jiang, X., Huang, W., Qian, W., Chen, Y., et al. (2022) · Science Advances · doi:10.1126/sciadv.abi6180 · Cited by 30
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Rodriguez, K. M., Vaught, J., Salz, L., Foley, J., Boulil, Z., VanDongen-Trimmer, H., Whalen, D., Oluchukwu, O., Liu, K. C., Burton, J., et al. (2024) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0000000000003522 · Cited by 31
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He, J., Mangelsdorf, M., Fan, D., Bartlett, P. F., & Brown, M. A. (2014) · The Neuroscientist · doi:10.1177/1073858414555404 · Cited by 30
Song, T., Liang, S., Liu, J., Zhang, T., Yin, Y., Geng, C., Gao, S., Feng, Y., Xu, H., Guo, D., et al. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007165 · Cited by 31
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Early‐onset encephalopathy with epilepsy associated with a novel splice site mutation in SMC1A
Lebrun, N., Lebon, S., Jeannet, P., Jacquemont, S., Billuart, P., & Bienvenu, T. (2015) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.37364 · Cited by 30
Clinical and genetic analysis of ZTTK syndrome caused by SON heterozygous mutation c.394C>T
Yang, Y., Xu, L., Yu, Z., Huang, H., & Yang, L. (2019) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.953 · Cited by 30
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Hiatt, S. M., Thompson, M. L., Prokop, J. W., Lawlor, J. M. J., Gray, D. E., Bebin, E. M., Rinne, T., Kempers, M., Pfundt, R., van Bon, B. W., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.02.002 · Cited by 29
Self-citationHigh-throughput sequencing of the synaptome in major depressive disorder
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Detecting Copy Number Variation via Next Generation Technology
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Kamath, S. P., & Chen, A. I. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1363-7 · Cited by 31
Stephen, J., Maddirevula, S., Nampoothiri, S., Burke, J. D., Herzog, M. R., Shukla, A., Steindl, K., Eskin, A., Patil, S. J., Joset, P., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.11.001 · Cited by 29
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Song, C., Jiang, Z., Liu, D., & Wu, L. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.960672 · Cited by 31
Long, P., May, M. M., James, V. M., Grannò, S., Johnson, J. P., Tarpey, P. S., Stevenson, R. E., Harvey, K., Schwartz, C. E., & Harvey, R. J. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2015.00083 · Cited by 28
Goos, J. A. C., Fenwick, A. L., Swagemakers, S. M. A., McGowan, S. J., Knight, S. J. L., Twigg, S. R. F., Hoogeboom, A. J. M., van Dooren, M. F., Magielsen, F. J., Wall, S. A., et al. (2016) · Human Mutation · doi:10.1002/humu.23010 · Cited by 28
Bourke, J., Wong, K., & Leonard, H. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-019113 · Cited by 28
Shademan, B., Avci, Ç. B., Nikanfar, M., & Nourazarian, A. (2020) · NeuroMolecular Medicine · doi:10.1007/s12017-020-08601-7 · Cited by 30
Rare germline structural variants increase risk for pediatric solid tumors
Gillani, R., Collins, R. L., Crowdis, J., Garza, A., Jones, J. K., Walker, M., Sanchis-Juan, A., Whelan, C., Pierce‐Hoffman, E., Talkowski, M. E., et al. (2025) · Science · doi:10.1126/science.adq0071 · Cited by 28
Next-Generation Sequencing Technologies and Neurogenetic Diseases
Sun, H., Shen, X.-R., Fang, Z.-B., Jiang, Z., Wei, X., Wang, Z., & Yu, X. (2021) · Life · doi:10.3390/life11040361 · Cited by 29
Wolstencroft, J., Hull, L., Warner, L., Akhtar, T. N., Mandy, W., Imagine ID Consortium, & Skuse, D. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-049386 · Cited by 32
Kalscheuer, V. M., James, V. M., Himelright, M. L., Long, P., Oegema, R., Jensen, C., Bienek, M., Hu, H., Haas, S. A., Topf, M., et al. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2015.00085 · Cited by 28
Loviglio, M. N., Beck, C. R., White, J. J., Leleu, M., Harel, T., Guex, N., Niknejad, A., Bi, W., Chen, E. S., Crespo, I., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0359-z · Cited by 30
An interaction network of mental disorder proteins in neural stem cells
Moen, M. J., Adams, H. H. H., Brandsma, J. H., Dekkers, D. H. W., Akinci, U., Karkampouna, S., Quevedo, M., Kockx, C. E. M., Özgür, Z., van IJcken, W. F. J., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.52 · Cited by 27
Chassagne, A., Pélissier, A., Houdayer-Robert, F., Cretin, É., Gautier, É., Salvi, D., Kidri, S., Godard, A., Thauvin‐Robinet, C., Masurel, A., et al. (2019) · European Journal of Human Genetics · doi:10.1038/s41431-018-0332-y · Cited by 27
Insights into the Genetic Foundations of Human Communication
Graham, S. A., Deriziotis, P., & Fisher, S. E. (2015) · Neuropsychology Review · doi:10.1007/s11065-014-9277-2 · Cited by 28
Middelkamp, S., Vlaar, J. M., Giltay, J. C., Korzelius, J., Besselink, N. J. M., Boymans, S., Janssen, R., de la Fonteijne, L., van Binsbergen, E., van Roosmalen, M. J., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0692-0 · Cited by 27
De Novo and Dominantly Inherited SPTAN1 Mutations Cause Spastic Paraplegia and Cerebellar Ataxia
de Vondel, L. V., Winter, J. D., Beijer, D., Coarelli, G., Wayand, M., Palvadeau, R. J., Pauly, M. G., Klein, K., Rautenberg, M., Guillot‐Noël, L., et al. (2022) · Movement Disorders · doi:10.1002/mds.28959 · Cited by 27
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Martin, D. M. (2014) · Current Genetic Medicine Reports · doi:10.1007/s40142-014-0059-1 · Cited by 27
Lessons learned from gene identification studies in Mendelian epilepsy disorders
Hardies, K., Weckhuysen, S., Jonghe, P. D., & Suls, A. (2015) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.251 · Cited by 26
Genetic and genomic testing for neurologic disease in clinical practice
Fogel, B. L. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63233-3.00002-6 · Cited by 26
Geoffroy, V., Stoetzel, C., Scheidecker, S., Schaefer, É., Perrault, I., Bär, S., Kröll‐Hermi, A., Delbarre, M., Antin, M., Leuvrey, A., et al. (2018) · Human Mutation · doi:10.1002/humu.23539 · Cited by 29
Mattioli, F., Isidor, B., Abdul-Rahman, O. A., Gunter, A., Huang, L., Kumar, R., Beaulieu, C. L., Gécz, J., Innes, A. M., Mandel, J., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy391 · Cited by 30
JAK/STAT in human diseases: a common axis in immunodeficiencies and hematological disorders
Djidjik, R., Mahammed, L. L., Berkani, L. M., Allam, I., Benmoussa, A. H., Gharnaout, M., & Belaid, B. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1669688 · Cited by 25
Advances, practice, and clinical perspectives in high‐throughput sequencing
Park, S., Saito-Adachi, M., Komiyama, Y., & Nakai, K. (2015) · Oral Diseases · doi:10.1111/odi.12403 · Cited by 26
Fan, Y., Wu, Y., Hu, B., Kline, A. D., Zhang, V. W., Liang, D., Sun, Y., Wang, L., Tang, S., Powis, Z., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.07.019 · Cited by 25
Jensen, L. R., Garrett, L., Hölter, S. M., Rathkolb, B., Rácz, I., Adler, T., Prehn, C. P., Hans, W., Rozman, J., Becker, L., et al. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.12.011 · Cited by 25
Pei, Z., Deng, K., Lei, C., Du, D., Yu, G., Sun, X., Xu, C., & Zhang, S. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2021.810900 · Cited by 26
De novo variants in ATP2B1 lead to neurodevelopmental delay
Rahimi, M. J., Urban, N. D., Wegler, M., Sticht, H., Schaefer, M., Popp, B., Gaunitz, F., Morleo, M., Nigro, V., Maitz, S. B., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.03.009 · Cited by 25
Colin, E., Duffourd, Y., Chevarin, M., Tisserant, É., Verdez, S., Paccaud, J., Bruel, A., Mau‐Them, F. T., Denommé‐Pichon, A., Thévenon, J., et al. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1021920 · Cited by 27
Resolving complex structural variants via nanopore sequencing
Romagnoli, S., Bartalucci, N., & Vannucchi, A. M. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1213917 · Cited by 28
Genome, Exome, and Targeted Next-Generation Sequencing in Neonatal Diabetes
Franco, E. D., & Ellard, S. (2015) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2015.04.012 · Cited by 25
Zhang, L., Wang, J., Zhang, C., Li, D., Carvalho, C. M. B., Ji, H., Xiao, J., Wu, Y., Zhou, W., Wang, H., et al. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx102 · Cited by 26
Molecular diagnostics for hereditary hearing loss in children
Sommen, M., Wuyts, W. A., & Camp, G. V. (2017) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2017.1340834 · Cited by 25
Tang, C. S.-M., Zhuang, X., Lam, W.-Y., Ngan, E., Hsu, J. S., Michelle, Y., Man-Ting, S., Cherny, S. S., Ngo, N. D., Sham, P. C., et al. (2018) · European Journal of Human Genetics · doi:10.1038/s41431-018-0129-z · Cited by 25
Mutations in TBR1 gene leads to cortical malformations and intellectual disability
Végas, N., Cavallin, M., Kleefstra, T., de Boer, L., Philbert, M., Maillard, C., Boddaert, N., Münnich, A., Hubert, L., Béry, A., et al. (2018) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2018.09.012 · Cited by 25
Self-citationCancer gene mutations in congenital pulmonary airway malformation patients
Hsu, J. S., Zhang, R., Yeung, F., Tang, C. S.-M., Wong, J., So, M., Xia, H., Sham, P. C., Tam, P. K. H., Li, M., et al. (2019) · ERJ Open Research · doi:10.1183/23120541.00196-2018 · Cited by 25
Metadata
- Authors
- Gilissen, C., Hehir-Kwa, J. Y., Thung, D. T., van de Vorst, M., van Bon, B. W. M., Willemsen, M. H., Kwint, M., Janssen, I. M., Hoischen, A., Schenck, A., Leach, R., Klein, R., Tearle, R., Bo, T., Pfundt, R., Yntema, H. G., de Vries, B. B. A., Kleefstra, T., Brunner, H. G., Vissers, L. E. L. M., & Veltman, J. A.
- Affiliations
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Complete Genomics (United States) (US)
- Central South University (CN)
- Corresponding author
- Veltman, Joris A.
- ORCID
- Venue
- Nature
- Published
- 2014-06-04
- Volume
- 511
- Issue
- 7509
- Pages
- 344-347
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2045392412
- Cited by
- 1,125
- References
- 29
- Citations by year
- 2026: 30 · 2025: 45 · 2024: 50 · 2023: 74 · 2022: 93 · 2021: 87 · 2020: 102 · 2019: 115 · 2018: 122 · 2017: 129 · 2016: 137 · 2015: 110 · 2014: 28
- FWCI
- 88.22
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (acceptedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- severe intellectual disability, de novo copy number variation, loss-of-function mutations, whole genome sequencing, genetic diagnosis, diagnostic yield, recessive inheritance, undiagnosed genetic disorders
- MeSH terms
- Chromosomes, Human, Pair 4, Humans, Male, Intellectual Disability, Mutation, Cohort Studies, Genome, Human, Sequence Analysis, DNA, Gene Duplication, Polymorphism, Single Nucleotide, Guanine Nucleotide Exchange Factors, Chromosomes, Human, X, DNA Copy Number Variations
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