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Neurodevelopmental Disorders: From Genetics to Functional Pathways
Open accessAbstract
Neurodevelopmental disorders (NDDs) are a class of disorders affecting brain development and function and are characterized by wide genetic and clinical variability. In this review, we discuss the multiple factors that influence the clinical presentation of NDDs, with particular attention to gene vulnerability, mutational load, and the two-hit model. Despite the complex architecture of mutational events associated with NDDs, the various proteins involved appear to converge on common pathways, such as synaptic plasticity/function, chromatin remodelers and the mammalian target of rapamycin (mTOR) pathway. A thorough understanding of the mechanisms behind these pathways will hopefully lead to the identification of candidates that could be targeted for treatment approaches.
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Cites
Transcriptomic Analysis of Autistic Brain Reveals Convergent Molecular Pathology
Voineagu, I., Wang, X., Johnston, P., Lowe, J. K., Tian, Y., Horvath, S., Mill, J., Cantor, R. M., Blencowe, B. J., & Geschwind, D. H. (2011) · Nature · doi:10.1038/nature10110 · Cited by 1,874
Prevalence and architecture of de novo mutations in developmental disorders
Study, D. D. D. (2017) · Nature · doi:10.1038/nature21062 · Cited by 1,480
Genome sequencing identifies major causes of severe intellectual disability
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., et al. (2014) · Nature · doi:10.1038/nature13394 · Cited by 1,125
Excitatory/Inhibitory Balance and Circuit Homeostasis in Autism Spectrum Disorders
Nelson, S. B., & Valakh, V. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.033 · Cited by 1,001
From the genetic architecture to synaptic plasticity in autism spectrum disorder
Bourgeron, T. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3992 · Cited by 975
Autistic-like behaviour and cerebellar dysfunction in Purkinje cell Tsc1 mutant mice
Tsai, P. T., Hull, C., Chu, Y., Greene-Colozzi, E., Sadowski, A. R., Leech, J. M., Steinberg, J., Crawley, J. N., Regehr, W. G., & Sahin, M. (2012) · Nature · doi:10.1038/nature11310 · Cited by 888
Reversal of learning deficits in a Tsc2+/− mouse model of tuberous sclerosis
Ehninger, D., Han, S., Shilyansky, C., Zhou, Y., Li, W., Kwiatkowski, D. J., Ramesh, V., & Silva, A. J. (2008) · Nature Medicine · doi:10.1038/nm1788 · Cited by 882
Clark, M. M., Stark, Z., Farnaes, L., Tan, T. Y., White, S. M., Dimmock, D., & Kingsmore, S. F. (2018) · npj Genomic Medicine · doi:10.1038/s41525-018-0053-8 · Cited by 619 · cited 1×
“whole-exome sequencing (WES) is preferred as a diagnostic tool to the more informative whole-genome sequencing [115,116].”
MethodStessman, H. A. F., Xiong, B., Coe, B. P., Wang, T., Hoekzema, K., Fenckova, M., Kvarnung, M., Gerdts, J., Trinh, S., Cosemans, N., et al. (2017) · Nature Genetics · doi:10.1038/ng.3792 · Cited by 559
From neural development to cognition: unexpected roles for chromatin
Ronan, J. L., Wu, W., & Crabtree, G. R. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3413 · Cited by 544
Autism-related deficits via dysregulated eIF4E-dependent translational control
Gkogkas, C. G., Khoutorsky, A., Ran, I., Rampakakis, E., Nevarko, T., Weatherill, D. B., Vasuta, C., Yee, S., Truitt, M., Dallaire, P., et al. (2013) · Nature · doi:10.1038/nature11628 · Cited by 522
Leblond, C. S., Heinrich, J., Delorme, R., Proepper, C., Betancur, C., Huguet, G., Konyukh, M., Chaste, P., Ey, E., Rastam, M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002521 · Cited by 429
Genetic and Epigenetic Networks in Intellectual Disabilities
van Bokhoven, H. (2011) · Annual Review of Genetics · doi:10.1146/annurev-genet-110410-132512 · Cited by 382
CHD8 haploinsufficiency results in autistic-like phenotypes in mice
Katayama, Y., Nishiyama, M., Shoji, H., Ohkawa, Y., Kawamura, A., Sato, T., Suyama, M., Takumi, T., Miyakawa, T., & Nakayama, K. I. (2016) · Nature · doi:10.1038/nature19357 · Cited by 353
Mutations in SWI/SNF chromatin remodeling complex gene ARID1B cause Coffin-Siris syndrome
Santen, G. W. E., Aten, E., Sun, Y., Almomani, R., Gilissen, C., Nielsen, M., Kant, S. G., Snoeck, I. N., Peeters, E. A. J., Hilhorst-Hofstee, Y., et al. (2012) · Nature Genetics · doi:10.1038/ng.2217 · Cited by 347
Common genetic variants contribute to risk of rare severe neurodevelopmental disorders
Niemi, M. E. K., Martin, H. C., Rice, D. L., Gallone, G., Gordon, S., Kelemen, M., McAloney, K., McRae, J., Radford, E. J., Yu, S., et al. (2018) · Nature · doi:10.1038/s41586-018-0566-4 · Cited by 340
Autism-associated SHANK3 haploinsufficiency causes I h channelopathy in human neurons
Yi, F., Danko, T., Botelho, S. C., Patzke, C., Pak, C., Wernig, M., & Südhof, T. C. (2016) · Science · doi:10.1126/science.aaf2669 · Cited by 313
De Rubeis, S., Pasciuto, E., Li, K. W., Fernández, E., Di Marino, D., Buzzi, A., Ostroff, L. E., Klann, E., Zwartkruis, F. J. T., Komiyama, N. H., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.039 · Cited by 296
Genes, circuits, and precision therapies for autism and related neurodevelopmental disorders
Sahin, M., & Sur, M. (2015) · Science · doi:10.1126/science.aab3897 · Cited by 295
Schafer, S. T., Paquola, A. C. M., Stern, S., Gosselin, D., Ku, M., Pena, M., Kuret, T. J. M., Liyanage, M., Mansour, A. A., Jaeger, B. N., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0295-x · Cited by 288
Mutations of DEPDC5 cause autosomal dominant focal epilepsies
Ishida, S., Picard, F., Rudolf, G., Noé, E., Achaz, G., Thomas, P., Genton, P., Mundwiller, E., Wolff, M., Marescaux, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2601 · Cited by 269
The discovery of integrated gene networks for autism and related disorders
Hormozdiari, F., Penn, O., Borenstein, E., & Eichler, E. E. (2015) · Genome Research · doi:10.1101/gr.178855.114 · Cited by 249
Ribierre, T., Deleuze, C., Bacq, A., Baldassari, S., Marsan, E., Chipaux, M., Muraca, G., Roussel, D., Navarro, V., Leguern, E., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci99384 · Cited by 241
Qin, L., Ma, K., Wang, Z.-J., Hu, Z., Matas, E., Wei, J., & Yan, Z. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0110-8 · Cited by 240
Pizzo, L., Jensen, M., Polyak, A., Rosenfeld, J. A., Mannik, K., Krishnan, A., McCready, E., Pichon, O., Le Caignec, C., Van Dijck, A., et al. (2019) · Genetics in Medicine · doi:10.1038/s41436-018-0266-3 · Cited by 193
Architecture of the human GATOR1 and GATOR1–Rag GTPases complexes
Shen, K., Huang, R. K., Brignole, E. J., Condon, K. J., Valenstein, M. L., Chantranupong, L., Bomaliyamu, A., Choe, A., Hong, C., Yu, Z., et al. (2018) · Nature · doi:10.1038/nature26158 · Cited by 192
SHANK2 mutations associated with autism spectrum disorder cause hyperconnectivity of human neurons
Zaslavsky, K., Zhang, W.-B., McCready, F. P., Rodrigues, D. C., Deneault, E., Loo, C., Zhao, M., Ross, P. J., El Hajjar, J., Romm, A., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0365-8 · Cited by 174
Unifying Views of Autism Spectrum Disorders: A Consideration of Autoregulatory Feedback Loops
Mullins, C., Fishell, G., & Tsien, R. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.017 · Cited by 167
Amplification of human interneuron progenitors promotes brain tumors and neurological defects
Eichmüller, O. L., Corsini, N. S., Vértesy, Á., Morassut, I., Scholl, T., Gruber, V.-E., Peer, A. M., Chu, J., Novatchkova, M., Hainfellner, J. A., et al. (2022) · Science · doi:10.1126/science.abf5546 · Cited by 163
Sexually dimorphic behavior, neuronal activity, and gene expression in Chd8-mutant mice
Jung, H., Park, H., Choi, Y., Kang, H., Lee, E., Kweon, H., Roh, J. D., Ellegood, J., Choi, W., Kang, J., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0208-z · Cited by 157
Low load for disruptive mutations in autism genes and their biased transmission
Iossifov, I., Levy, D., Allen, J., Ye, K., Ronemus, M., Lee, Y.-H., Yamrom, B., & Wigler, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516376112 · Cited by 156 · cited 3×
“Variants in these genes are not under negative selective pressure and are frequently transmitted in families for generations [2,14].”
BackgroundGuo, H., Wang, T., Wu, H., Long, M., Coe, B. P., Li, H., Xun, G., Ou, J., Chen, B., Duan, G., et al. (2018) · Molecular Autism · doi:10.1186/s13229-018-0247-z · Cited by 154
Witteveen, J. S., Willemsen, M. H., Dombroski, T. C. D., van Bakel, N. H. M., Nillesen, W. M., van Hulten, J. A., Jansen, E. J. R., Verkaik, D., Veenstra-Knol, H. E., van Ravenswaaij-Arts, C. M. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3619 · Cited by 128
Davenport, E. C., Szulc, B. R., Drew, J., Taylor, J., Morgan, T., Higgs, N. F., López-Doménech, G., & Kittler, J. T. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.01.092 · Cited by 125
Increased CYFIP1 dosage alters cellular and dendritic morphology and dysregulates mTor
Oguro-Ando, A., Rosensweig, C., Herman, E., Nishimura, Y., Werling, D., Bill, B. R., Berg, J. M., Gao, F., Coppola, G., Abrahams, B. S., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.124 · Cited by 117
Winden, K. D., Sundberg, M., Yang, C., Wafa, S. M. A., Dwyer, S., Chen, P.-F., Buttermore, E. D., & Sahin, M. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.0642-19.2019 · Cited by 93
Iffland, P. H., Carson, V., Bordey, A., & Crino, P. B. (2019) · Epilepsia · doi:10.1111/epi.16370 · Cited by 84 · cited 2×
“Multiple variants affecting negative regulators of the growth factor and amino acid-sensing arms (such as TSC1, TSC2, and PTEN or DEPDC5, NPRL2, and NPRL3, respectively) are known to cause hyperactivation of mTORC1 and have been reported in individuals with NDDs [38,39].”
BackgroundmTOR signaling pathway genes in focal epilepsies
Baulac, S. (2016) · Progress in Brain Research · doi:10.1016/bs.pbr.2016.04.013 · Cited by 84
Widespread genotype-phenotype correlations in intellectual disability
Casanova, E. L., Gerstner, Z., Sharp, J. L., Casanova, M. F., & Feltus, F. A. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00535 · Cited by 31
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Cerneckis, J., Cai, H., & Shi, Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01809-0 · Cited by 452
Prefrontal Cortex Development in Health and Disease: Lessons from Rodents and Humans
Chini, M., & Hanganu-Opatz, I. L. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2020.10.017 · Cited by 253
Mossink, B., Negwer, M., Schubert, D., & Nadif Kasri, N. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-020-03714-5 · Cited by 114
Shin, H. S., Lee, S. H., Moon, H. J., So, Y. H., Lee, H. R., Lee, E.-H., & Jung, E.-M. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.131465 · Cited by 74
Kaneko, K., Currin, C. B., Goff, K. M., Wengert, E. R., Somarowthu, A., Vogels, T. P., & Goldberg, E. M. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110580 · Cited by 72
Metadata
- Authors
- Parenti, I., Rabaneda, L. G., Schoen, H., & Novarino, G.
- Venue
- Trends in Neurosciences
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 43
- Issue
- 8
- Pages
- 608-621
- ISSN
- 0166-2236 (ISSN-L)
- OpenAlex
- W3033740108
- Cited by
- 618
- References
- 39
- FWCI
- 9.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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