The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
KCTD13 is a major driver of mirrored neuroanatomical phenotypes of the 16p11.2 copy number variant
Open accessAbstract
Copy number variants (CNVs) are major contributors to genetic disorders. We have dissected a region of the 16p11.2 chromosome--which encompasses 29 genes--that confers susceptibility to neurocognitive defects when deleted or duplicated. Overexpression of each human transcript in zebrafish embryos identified KCTD13 as the sole message capable of inducing the microcephaly phenotype associated with the 16p11.2 duplication, whereas suppression of the same locus yielded the macrocephalic phenotype associated with the 16p11.2 deletion, capturing the mirror phenotypes of humans. Analyses of zebrafish and mouse embryos suggest that microcephaly is caused by decreased proliferation of neuronal progenitors with concomitant increase in apoptosis in the developing brain, whereas macrocephaly arises by increased proliferation and no changes in apoptosis. A role for KCTD13 dosage changes is consistent with autism in both a recently reported family with a reduced 16p11.2 deletion and a subject reported here with a complex 16p11.2 rearrangement involving de novo structural alteration of KCTD13. Our data suggest that KCTD13 is a major driver for the neurodevelopmental phenotypes associated with the 16p11.2 CNV, reinforce the idea that one or a small number of transcripts within a CNV can underpin clinical phenotypes, and offer an efficient route to identifying dosage-sensitive loci.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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?
In the citing paper
“The human 16p11.2 gene locus (chromosome 16, position 11.2) is a ~500–600 kb region containing 27–29 genes [4–7] located on the proximal short arm of chromosome 16 [8].”
From 16p11.2 Copy Number Variations and Neurodevelopmental Disorders (2020) · cites this paper as [6]
In the citing paper
“In zebrafish, out of all 16p11.2 gene transcripts, only KCTD13 overexpression drives a microcephalic phenotype with reduced brain cell counts, whereas its suppression produces a macrocephalic phenotype with increased brain cell counts [6].”
From 16p11.2 Copy Number Variations and Neurodevelopmental Disorders (2020) · cites this paper as [6]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Strong association of de novo copy number mutations with autism
Sebat, J., Lakshmi, B., Malhotra, D., Troge, J., Lese-Martin, C., Walsh, T., Yamrom, B., Yoon, S., Krasnitz, A., Kendall, J., et al. (2007) · Science · doi:10.1126/science.1138659 · Cited by 2,795
Large recurrent microdeletions associated with schizophrenia.
GROUP, Stefansson, H., Rujescu, D., Cichon, S., Pietiläinen, O. P. H., Ingason, A., Steinberg, S., Fossdal, R., Sigurdsson, E., Sigmundsson, T., et al. (2008) · Nature · doi:10.1038/nature07229 · Cited by 1,745
the GIANT Consortium (2009) · Nature Genetics · doi:10.1038/ng.287 · Cited by 1,720
Association between Microdeletion and Microduplication at 16p11.2 and Autism
Weiss, L. A., Shen, Y., Korn, J. M., Arking, D. E., Miller, D. T., Fossdal, R., Saemundsen, E., Stefansson, H., Ferreira, M. A. R., Green, T., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa075974 · Cited by 1,666
Self-citationShank3 mutant mice display autistic-like behaviours and striatal dysfunction
Peça, J., Feliciano, C., Ting, J. T., Wang, W., Wells, M. F., Venkatraman, T. N., Lascola, C. D., Fu, Z., & Feng, G. (2011) · Nature · doi:10.1038/nature09965 · Cited by 1,570
A copy number variation morbidity map of developmental delay
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) · Nature Genetics · doi:10.1038/ng.909 · Cited by 1,351
DNA duplication associated with Charcot-Marie-Tooth disease type 1A
Lupski, J. R., Montes‐de‐Oca‐Luna, R., Slaugenhaupt, S., Pentao, L., Guzzetta, V., Trask, B. J., Cárdenas, O. S., Barker, D. F., Killian, J. M., Garcia, C. A., et al. (1991) · Cell · doi:10.1016/0092-8674(91)90613-4 · Cited by 1,327
Sanders, S. J., Ercan-Sencicek, A. G., Hus, V., Luo, R., Murtha, M. T., Moreno-De-Luca, D., Chu, S. H., Moreau, M. P., Gupta, A. R., Thomson, S. A., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.002 · Cited by 1,263
Structural Variation in the Human Genome and its Role in Disease
Stankiewicz, P., & Lupski, J. R. (2010) · Annual Review of Medicine · doi:10.1146/annurev-med-100708-204735 · Cited by 1,201
Tbx1 haploinsufficiency in the DiGeorge syndrome region causes aortic arch defects in mice
Lindsay, E. A., Vitelli, F., Su, H., Morishima, M., Huynh, T., Pramparo, T., Jurecic, V., Ogunrinu, G., Sutherland, H. F., Scambler, P. J., et al. (2001) · Nature · doi:10.1038/35065105 · Cited by 1,019
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–300 of 424
Human-specific gene expansions contribute to brain evolution
(2025) · doi:10.1016/j.cell.2025.06.037 · Cited by 25
Liao, C., Moysés‐Oliveira, M., de Esch, C. E., Bhavsar, R., Nuttle, X., Li, A., Yu, A., Burt, N. D., Erdin, S., Fu, J. M., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100277 · Cited by 25
Self-citationTranslational Neuroscience Approaches to Understanding Autism
Veenstra-VanderWeele, J. M., O’Reilly, K. C., Dennis, M. Y., Uribe‐Salazar, J. M., & Amaral, D. G. (2023) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20230153 · Cited by 25
Gladwyn-Ng, I. E., Li, S., Qu, Z., Davis, J. M., Ngo, L., Haas, M., Singer, J. D., & Heng, J. I. (2015) · Neural Development · doi:10.1186/s13064-015-0032-z · Cited by 23
Zheng, X., Demirci, F. Y., Barmada, M. M., Richardson, G. A., López, O. L., Sweet, R. A., Kamboh, M. I., & Feingold, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111462 · Cited by 22
Zebrafish Models of Rare Hereditary Pediatric Diseases
Varga, M., Ralbovszki, D. M., Balogh, E., Hamar, R., Keszthelyi, M., & Tory, K. (2018) · Diseases · doi:10.3390/diseases6020043 · Cited by 26
Aigner, S., Heckel, T., Zhang, J. D., Andreae, L. C., & Jagasia, R. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3332-1 · Cited by 25
Lu, H.-C., Mills, A. A., & Tian, D. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00306.2017 · Cited by 22
Expression of Genes in the 16p11.2 Locus during Development of the Human Fetal Cerebral Cortex
Morson, S., Yang, Y., Price, D. J., & Pratt, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab067 · Cited by 23
Stage-Related Neurotoxicity of BPA in the Development of Zebrafish Embryos
Liu, J., Kong, W., Liu, Y., Ma, Q., Shao, Q., Zeng, L., Chao, Y., Song, X., & Zhang, J. (2023) · Toxics · doi:10.3390/toxics11020177 · Cited by 21
The Evolutionary Biology of Human Neurodevelopment
Crespi, B. J., & Leach, E. (2015) · Wiley eBooks · doi:10.1002/9781118524756.ch9 · Cited by 21
Horecka-Lewitowicz, A., Lewitowicz, W., Kozieł, D., Lim, H., Lewitowicz, P., & Lewitowicz, P. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252011283 · Cited by 22
Esposito, L., Balasco, N., & Vitagliano, L. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232113346 · Cited by 20
Bai, C., Zheng, Y., Tian, L., Lin, J. J., Song, Y., Huang, C., Dong, Q., & Chen, J. (2023) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2023.114643 · Cited by 22
Tucker, T., Giroux, S., Clément, V., Langlois, S., Friedman, J. M., & Rousseau, F. (2013) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.12 · Cited by 22
Loss of autism-candidate CHD8 perturbs neural crest development and intestinal homeostatic balance
Hayot, G., Massonot, M., Keime, C., Faure, E., & Golzio, C. (2022) · Life Science Alliance · doi:10.26508/lsa.202201456 · Cited by 19
Self-citationLeone, R., Zuglian, C., Brambilla, R., & Morella, I. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1407865 · Cited by 22
Senter, R. K., Ghoshal, A., Walker, A. G., Xiang, Z., Niswender, C. M., & Conn, P. J. (2016) · Current Neuropharmacology · doi:10.2174/1570159x13666150421003225 · Cited by 20
Zebrafish as a tool to study schizophrenia-associated copy number variants
Campbell, P. D., & Granato, M. (2020) · Disease Models & Mechanisms · doi:10.1242/dmm.043877 · Cited by 19
Genome engineering of isogenic human ES cells to model autism disorders
Martinez, R. A., Stein, J. L., Krostag, A.-R., Nelson, A. M., Marken, J., Menon, V., May, R., Yao, Z., Kaykas, A., Geschwind, D. H., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv164 · Cited by 20
Kretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2023) · Genome biology · doi:10.1186/s13059-023-03092-8 · Cited by 23
Self-citationA Scaled Framework for CRISPR Editing of Human Pluripotent Stem Cells to Study Psychiatric Disease
Hazelbaker, D. Z., Beccard, A., Bara, A. M., Dabkowski, N., Messana, A., Mazzucato, P., Lam, D., Manning, D. K., Eggan, K. C., & Barrett, L. E. (2017) · Stem Cell Reports · doi:10.1016/j.stemcr.2017.09.006 · Cited by 19
KCTD1: A novel modulator of adipogenesis through the interaction with the transcription factor AP2α
Pirone, L., Smaldone, G., Spinelli, R., Barberisi, M., Bèguinot, F., Vitagliano, L., Miele, C., Gaetano, S. D., Raciti, G. A., & Pedone, E. M. (2019) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2019.08.010 · Cited by 18
Thapar, A., & Rutter, M. L. (2015) · Wiley eBooks · doi:10.1002/9781118381953.ch12 · Cited by 18
Liu, T., Shi, Y., Chan, M. T. V., Peng, G., Zhang, Q., Sun, X. Y., Zhu, Z., Xie, Y., Sham, K. W. Y., Li, J., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0285-5 · Cited by 19
Tanaka, R., & Yamada, K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242115623 · Cited by 16
The pleiotropic spectrum of proximal 16p11.2 CNVs
Auwerx, C., Kutalik, Z., & Reymond, A. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.08.015 · Cited by 19
Self-citationKozol, R. A. (2018) · Journal of Developmental Biology · doi:10.3390/jdb6040029 · Cited by 18
Clinical Implications of Chromosome 16 Copy Number Variation
Atlı, E. İ., Yalcintepe, S. A., Atlı, E., Demır, S., Mail, C., & Gürkan, H. (2021) · Molecular Syndromology · doi:10.1159/000517762 · Cited by 18
Fetit, R., Barbato, M. I., Theil, T., Pratt, T., & Price, D. J. (2023) · Development · doi:10.1242/dev.201227 · Cited by 17
Haplotype-specific MAPK3 expression in 16p11.2 deletion contributes to variable neurodevelopment
Liu, F., Chen, L., Li, Z., Zhao, S., Yuan, H., Yao, R., Qin, Z., Shangguan, S., Zhang, S., Zou, L., et al. (2023) · Brain · doi:10.1093/brain/awad071 · Cited by 21
Self-citationPasseri, E., Wilson, A. M., Primerano, A., Kondo, M., Sengupta, S., Srivastava, R., Koga, M., Obie, C., Zandi, P. P., Goes, F. S., et al. (2015) · Neuroscience Research · doi:10.1016/j.neures.2015.07.011 · Cited by 16
Self-citationKato, K., Miya, F., Oka, Y., Mizuno, S., & Saitoh, S. (2020) · Journal of Human Genetics · doi:10.1038/s10038-020-00868-9 · Cited by 14
Sato, T., Ito, T., & Handa, H. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.629326 · Cited by 17
Szelest, M., Stefaniak, M., Ręka, G., Jaszczuk, I., & Lejman, M. (2021) · BMC Medical Genomics · doi:10.1186/s12920-021-00929-8 · Cited by 15
Huguet, G., Nava, C., Lemière, N., Patin, É., Laval, G., Ey, E., Brice, A., Leboyer, M., Szepetowski, P., Gillberg, C., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088600 · Cited by 18
KCTD10 is critical for heart and blood vessel development of zebrafish
Hu, X., Gan, S., Xie, G., Li, L., Chen, C., Ding, X., Han, M., Xiang, S., & Zhang, J. (2014) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmu017 · Cited by 16
Whi2 signals low leucine availability to halt yeast growth and cell death
Teng, X., Yau, E., Sing, C. N., & Hardwick, J. M. (2018) · FEMS Yeast Research · doi:10.1093/femsyr/foy095 · Cited by 14
Buffering and non-monotonic behavior of gene dosage response curves for human complex traitsPreprint
Milind, N., Smith, C. J., Zhu, H., Gjorgjieva, T., Spence, J. P., & Pritchard, J. K. (2024) · medRxiv · doi:10.1101/2024.11.11.24317065 · Cited by 15
A Comprehensive Analysis of the Structural Recognition between KCTD Proteins and Cullin 3
Balasco, N., Esposito, L., Smaldone, G., Salvatore, M., & Vitagliano, L. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25031881 · Cited by 13
Diametric gene-dosage effects as windows into neurogenetic architecture
Crespi, B. J. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.08.005 · Cited by 14
The Influence of Microdeletions and Microduplications of 16p11.2 on Global Transcription Profiles
Kusenda, M., Vacic, V., Malhotra, D., Rodgers, L., Pavon, K., Meth, J. L., Kumar, R. A., Christian, S. L., Peeters, H., Cho, S. S., et al. (2015) · Journal of Child Neurology · doi:10.1177/0883073815602066 · Cited by 15
Zuo, T., Zhang, P., Lithio, A., Dash, S., Weber, D. F., Wise, R. P., Nettleton, D. S., & Peterson, T. (2016) · Genetics · doi:10.1534/genetics.116.188235 · Cited by 16
Sharma, J., Mulherkar, S. A., Chen, U.-I., Xiong, Y., Bajaj, L., Cho, B.-K., Goo, Y. A., Leung, H. E., Tolias, K. F., & Sardiello, M. (2023) · Cell Discovery · doi:10.1038/s41421-023-00533-3 · Cited by 14
Liu, L., Wang, J., Liu, X., Wang, J., Chen, L., Zhu, H., Mai, J., Hu, T., & Liu, S. (2023) · Clinica Chimica Acta · doi:10.1016/j.cca.2023.117671 · Cited by 14
Asmar, A. J., Beck, D. B., & Werner, A. A. (2020) · Experimental Cell Research · doi:10.1016/j.yexcr.2020.112300 · Cited by 13
Викторовна, К. А., Volodin, I. A., Volodina, E. V., Ranneva, S. V., Amstislavskaya, T. G., & Lipina, T. V. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113430 · Cited by 14
New Horizons for Molecular Genetics Diagnostic and Research in Autism Spectrum Disorder
Al-Dewik, N. I. E., & Alsharshani, M. (2020) · Advances in neurobiology · doi:10.1007/978-3-030-30402-7_2 · Cited by 13
A critical review of the impact of candidate copy number variants on autism spectrum disorder
Abedini, S. S., Akhavantabasi, S., Liang, Y., Heng, J. I., Alizadehsani, R., Dehzangi, A., Bauer, D. C., & Alinejad‐Rokny, H. (2024) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2024.108509 · Cited by 18
Genome-wide association studies of human adiposity: Zooming in on synapses
Sandholt, C. H., Grarup, N., Pedersen, O. B., & Hansen, T. F. (2015) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2015.09.029 · Cited by 14
Zhao, X., Chen, J., Zhang, W., Yang, C., Ma, X., Zhang, S., & Zhang, X. (2019) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-019-02334-z · Cited by 14
Wang, D. X., Kaur, Y., Alyass, A., & Meyre, D. (2019) · Diabetes · doi:10.2337/db18-0986 · Cited by 13
Cdc2‐like kinase 2 (Clk2) promotes early neural development in Xenopus embryos
Virgirinia, R. P., Jahan, N., Okada, M., Takebayashi‐Suzuki, K., Yoshida, H., Nakamura, M., Akao, H., Yoshimoto, Y., Fatchiyah, F., Ueno, N., et al. (2019) · Development Growth & Differentiation · doi:10.1111/dgd.12619 · Cited by 13
KCTD15 Protein Expression in Peripheral Blood and Acute Myeloid Leukemia
Smaldone, G., Coppola, L., Incoronato, M., Parasole, R., Ripaldi, M., Vitagliano, L., Mirabelli, P., & Salvatore, M. (2020) · Diagnostics · doi:10.3390/diagnostics10060371 · Cited by 13
Terashima, H., Minatohara, K., Maruoka, H., & Okabe, S. (2021) · Microscopy · doi:10.1093/jmicro/dfab039 · Cited by 15
Seth, A., Rivera, A. M., Chahdi, A., Choi, I., Medina-Martínez, O., Lewis, S., O'Neill, M. A., Ridgeway, A., Moore, J. A., Jorgez, C. J., et al. (2022) · The FASEB Journal · doi:10.1096/fj.202200558r · Cited by 13
Modeling autism spectrum disorders in zebrafish
Dreosti, E., Hoffman, E. J., & Rihel, J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817528-6.00026-7 · Cited by 13
Yusuff, T., Jensen, M., Yennawar, S., Pizzo, L., Karthikeyan, S., Gould, D. J., Sarker, A., Gedvilaite, E., Matsui, Y., Iyer, J. S., et al. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008792 · Cited by 12
Clinical outcomes of fetuses with chromosome 16 short arm copy number variants
Kang, J., Lee, C., Su, Y., Tai, Y., Chen, C., Chen, H., & Lin, S. (2023) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.2174 · Cited by 11
KCTD5 is endowed with large, functionally relevant, interdomain motions
Barone, D., Balasco, N., & Vitagliano, L. (2015) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2015.1090343 · Cited by 12
KCTD10 regulates brain development by destabilizing brain disorder–associated protein KCTD13
Cheng, J., Wang, Z., Tang, M., Zhang, W., Li, G., Tan, S., Mu, C., Hu, M., Zhang, D., Jia, X., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2315707121 · Cited by 11
Cullin-RING Ubiquitin Ligases in Neurodevelopment and Neurodevelopmental Disorders
Ashitomi, H., Nakagawa, T., Nakagawa, M., & Hosoi, T. (2025) · Biomedicines · doi:10.3390/biomedicines13040810 · Cited by 10
Copy Number Variation in Human Health, Disease and Evolution
Sismani, C., Koufaris, C., & Voskarides, K. (2015) · Springer eBooks · doi:10.1007/978-1-4939-3070-8_6 · Cited by 12
Alevy, J., Burger, C. A., Albrecht, N. E., Jiang, D., & Samuel, M. A. (2019) · Neurochemistry International · doi:10.1016/j.neuint.2019.104486 · Cited by 11
Gene mapping and functional annotation of GWAS of oral ulcers using FUMA software
Jin, X., Wang, Y., Zhang, X., Zhang, W., Wang, H., & Chen, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-68976-2 · Cited by 11
Balasco, N., Smaldone, G., & Vitagliano, L. (2019) · Biomolecules · doi:10.3390/biom9080323 · Cited by 11
Using rare genetic mutations to revisit structural brain asymmetry
Kopál, J., Kumar, K., Shafighi, K., Saltoun, K., Modenato, C., Moreau, C. A., Huguet, G., Jean‐Louis, M., Martin, C.-O., Saci, Z., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46784-w · Cited by 10
Self-citationThe dual-specificity protein kinase Clk3 is essential for Xenopus neural development
Virgirinia, R. P., Nakamura, M., Takebayashi‐Suzuki, K., Fatchiyah, F., & Suzuki, A. (2021) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2021.06.005 · Cited by 10
CNV and Structural Variation in Plants: Prospects of NGS Approaches
Francia, E., Pecchioni, N., Policriti, A., & Scalabrin, S. (2015) · Springer eBooks · doi:10.1007/978-3-319-17157-9_13 · Cited by 11
Longitudinal report of child with de novo 16p11.2 triplication
Wallace, A. S., Hudac, C. M., Steinman, K. J., Peterson, J. L., DesChamps, T. D., Duyzend, M. H., Nuttle, X., Eichler, E. E., & Bernier, R. A. (2018) · Clinical Case Reports · doi:10.1002/ccr3.1236 · Cited by 9
Curpăn, A.-Ș., Balmuș, I.-M., Dobrin, R., Ciobica, A. S., Chele, G. E., Gorgan, L., & Boloș, A. (2022) · Brain Sciences · doi:10.3390/brainsci12091147 · Cited by 9
Nia, F. H., & Wittamer, V. (2025) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.16317 · Cited by 9
Gimeno-Ferrer, F., Albuquerque, D., Luján, C. G., Benito, G. M., Banzas, C. T., Repáraz-Andrade, A., Cogollos, V. B., Pérez-Gramunt, M. A., Gómez, E. G., Quintela, I., et al. (2018) · Journal of Human Genetics · doi:10.1038/s10038-018-0545-5 · Cited by 9
Bian, C., Chen, W., Ruan, Z., Hu, Z., Huang, Y., Lv, Y., Xu, T., Li, J., Shi, Q., & Ge, W. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072385 · Cited by 9
Zhang, J., Sun, M., Zhao, Y., Geng, G., & Hu, Y. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.624766 · Cited by 9
Self-citationThe Oncosuppressive Properties of KCTD1: Its Role in Cell Growth and Mobility
Smaldone, G., Pecoraro, G., Pane, K., Franzese, M., Ruggiero, A., Vitagliano, L., & Salvatore, M. (2023) · Biology · doi:10.3390/biology12030481 · Cited by 9
Brain Copy Number Variants and Neuropsychiatric Traits
Lupski, J. R. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.08.007 · Cited by 9
Saxena, A., & Chahrour, M. H. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-800685-6.00016-3 · Cited by 10
Dawes, P., Murray, L. F., Olson, M. N., Barton, N., Smullen, M., Suresh, M., Yan, G., Zhang, Y., Fernandez-Fontaine, A., English, J., et al. (2023) · Human Genetics · doi:10.1007/s00439-023-02534-4 · Cited by 8
Huguet, G., Renne, T., Poulain, C., Dubuc, A., Kumar, K., Kazem, S., Engchuan, W., Shanta, O., Douard, E. A., Proulx, C., et al. (2024) · Cell Genomics · doi:10.1016/j.xgen.2024.100721 · Cited by 8
Self-citationYang, Y., Booker, S. A., Clegg, J. M., Urzainqui, I. Q., Sumera, A., Kozić, Z., Dando, O., Lorenzo, S. M., Hérault, Y., Kind, P. C., et al. (2023) · BMC Neuroscience · doi:10.1186/s12868-022-00771-3 · Cited by 9
Ormières, C., Lesieur‐Sebellin, M., Siquier-Pernet, K., Delplancq, G., Rio, M., Parisot, M., Nitschké, P., Rodriguez‐Fontenla, C., Bodineau, A., Narcy, L., et al. (2025) · Molecular Autism · doi:10.1186/s13229-025-00642-8 · Cited by 11
Identification of rare variants in KCTD13 at the schizophrenia risk locus 16p11.2
Degenhardt, F., Heinemann, B., Strohmaier, J., Pfohl, M. A., Giegling, I., Hofmann, A., Ludwig, K. U., Witt, S. H., Ludwig, M., Forstner, A. J., et al. (2016) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000145 · Cited by 11
Proteins involved in sleep homeostasis: Biophysical characterization of INC and its partners
Pirone, L., Smaldone, G., Esposito, C., Balasco, N., Petoukhov, M. V., Spilotros, A., Svergun, D. I., Gaetano, S. D., Vitagliano, L., & Pedone, E. M. (2016) · Biochimie · doi:10.1016/j.biochi.2016.09.013 · Cited by 8
Genetic Approaches to Understanding Psychiatric Disease
Michaelson, J. J. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0551-x · Cited by 11
Broadening the phenotypic spectrum and physiological insights related toEIF2S3variants
Moortgat, S., Manfroid, I., Pendeville, H., Freeman, S. D., Bourdouxhe, J., Benoît, V., Merhi, A., Philippe, C., Faivre, L. O., & Maystadt, I. (2021) · Human Mutation · doi:10.1002/humu.24215 · Cited by 8
Copy Number Variations and Cognitive Phenotypes in Unselected Populations
Männik, K., Mägi, R., Macé, A., Cole, B., Guyatt, A. L., Shihab, H. A., Maillard, A. M., Alavere, H., Kolk, A., Reigo, A., et al. (2015) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000471594.65931.90 · Cited by 8
Self-citationCombinations of genes at the 16p11.2 and 22q11.2 CNVs contribute to neurobehavioral traits
Vysotskiy, M., & Weiss, L. A. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010780 · Cited by 7
Vaz‐Rodrigues, R., Mazuecos, L., Villar, M., Contreras, M., Artigas-Jerónimo, S., González-García, A., Gortázar, C., & de la Fuente, J. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115829 · Cited by 7
Parallelized engineering of mutational models using piggyBac transposon delivery of CRISPR libraries
Nuttle, X., Burt, N. D., Currall, B., Moysés‐Oliveira, M., Mohajeri, K., Bhavsar, R., Lucente, D. E., Yadav, R., Tai, D. J. C., Gusella, J. F., et al. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100672 · Cited by 8
Self-citationElsayed, L. E. O., AlHarbi, N. A., Alqarni, A. M., Eltayeb, H. H. E., Mostafa, N. M. M., Abdulrahim, M. M., Zaid, H. I. B., Alanzi, L. M., Ababtain, S. A., Aldulaijan, K., et al. (2024) · Human Genomics · doi:10.1186/s40246-024-00662-0 · Cited by 8
Lengyel, A., Pinti, É., Pikó, H., Jávorszky, E., David, D., Tihanyi, M., Gönczi, É., Kiss, E., Tóth, Z., Tory, K., et al. (2020) · European Journal of Medical Genetics · doi:10.1016/j.ejmg.2020.104027 · Cited by 8
Zebrafish as a comprehensive model of neurological diseases
Ahmed, S., Venkatesan, G., Prapul, D. S., & Md, A. R. (2023) · International Journal of Science and Research Archive · doi:10.30574/ijsra.2023.10.1.0696 · Cited by 6
Nishizaki, S. S., Haghani, N. K., La, G. N., Mariano, N. A. F., Uribe‐Salazar, J. M., Kaya, G., Regester, M., Andrews, D. S., Nordahl, C. W., Amaral, D. G., et al. (2025) · Autism Research · doi:10.1002/aur.3314 · Cited by 6
Li, Z., Du, X., Wang, X., Hu, J., Liu, M., Gao, Y., Liu, Z., Cao, X., Li, X., Xu, Y., et al. (2024) · Schizophrenia · doi:10.1038/s41537-024-00538-1 · Cited by 5
Les gènes de l’obésité et leur contribution à la balance énergétique
Froguel, P. (2015) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30812-x · Cited by 5
The polymerase δ-interacting protein family and their emerging roles in diseases
Huang, P., Wu, L., Zhu, N., Zhao, H., & Du, J. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.1026931 · Cited by 5
CRISPR/Cas9-Mediated Knockout of tnfaip1 in Zebrafish Plays a Role in Early Development
Huang, S., Zhang, H., Chen, W., Su, N., Yuan, C., Zhang, J., Xiang, S., & Hu, X. (2023) · Genes · doi:10.3390/genes14051005 · Cited by 5
KCTD10 p.C124W variant contributes to schizophrenia by attenuating LLPS-mediated synapse formation
Mu, C., Liu, P., Liu, L., Wang, Y., Liu, K., Li, X., Li, G., Cheng, J., Bu, M., Chen, H., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2400464121 · Cited by 6
Malhotra, D., & Sebat, J. L. (2012) · Nature · doi:10.1038/485318a · Cited by 5
Metadata
- Authors
- Golzio, C., Willer, J., Talkowski, M. E., Oh, E. C., Taniguchi, Y., Jacquemont, S., Reymond, A., Sun, M., Sawa, A., Gusella, J. F., Kamiya, A., Beckmann, J. S., & Katsanis, N.
- Affiliations
- Duke University (US)
- Harvard University (US)
- Johns Hopkins University (US)
- Centre Hospitalier Universitaire Vaudois (CH)
- University of Lausanne (CH)
- Massachusetts General Hospital (US)
- Corresponding author
- Katsanis, Nicholas
- ORCID
- Venue
- Nature
- Published
- 2012-05
- Volume
- 485
- Issue
- 7398
- Pages
- 363-367
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3366115
- OpenAlex
- W1981693548
- Cited by
- 410
- References
- 33
- Citations by year
- 2026: 14 · 2025: 15 · 2024: 29 · 2023: 32 · 2022: 17 · 2021: 36 · 2020: 24 · 2019: 29 · 2018: 34 · 2017: 33 · 2016: 31 · 2015: 37 · 2014: 31 · 2013: 36 · 2012: 12
- FWCI
- 22.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- SERVAL (Université de Lausanne) (acceptedVersion, other-oa)
- IRIS (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Fondation Leenaards
- Université de Lausanne
- National Institutes of Health (MH084018)
- National Institute of Mental Health (MH-091230, R01MH091230, MH084018, P20MH084018, F32MH087123, P50MH094268, R01MH092443)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD06286)
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
- Keywords
- microcephaly, macrocephaly, brain development, neuronal progenitor proliferation, apoptosis, autism spectrum disorder, schizophrenia, obesity, neuroanatomical phenotypes, genetic disorders
- MeSH terms
- Animals, Chromosomes, Human, Pair 16, Head, Humans, Microcephaly, Nuclear Proteins, Organ Size, Phenotype, RNA, Messenger, Transcription, Genetic, Zebrafish, Up-Regulation, Apoptosis, Sequence Deletion, Gene Dosage, Gene Duplication, Cell Proliferation, Mice, DNA Copy Number Variations
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