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 301–400 of 424
Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases
Lin, G. N., Corominas, R., Nam, H.-J., Urresti, J., & Iakoucheva, L. M. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7027-8_15 · Cited by 5
Liu, Q., Liu, G., Martin, D. T., Xing, Y., Weiss, R. M., Qi, J., & Kang, J. (2021) · Asian Journal of Andrology · doi:10.4103/aja.aja_20_21 · Cited by 5
Genetic control of gene expression and splicing in the developing human brainPreprint
Walker, R. L., Ramaswami, G., Hartl, C., Mancuso, N., Gandal, M. J., de la Torre-Ubieta, L., Paşaniuc, B., Stein, J. L., & Geschwind, D. H. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/471193 · Cited by 5
Budișteanu, M., Papuc, S. M., Erbescu, A., Glangher, A., Andrei, L. E., Rad, F., Hinescu, M. E., & Arghir, A. (2024) · Reviews in the Neurosciences · doi:10.1515/revneuro-2024-0106 · Cited by 4
Lemée, M. V., Loviglio, M. N., Ye, T., Tilly, P., Keime, C., Weber, C., Petrova, A., Klein, P., Morlet, B., Wendling, O., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf934 · Cited by 5
Self-citationNeurobiology and neuropharmacology of zebrafish social behavior
Apukhtin, K. V., Riga, V. D., Kotova, M. M., Galstyan, D. S., Yang, L., Cui, J., Lim, L. W., de Abreu, M. S., & Kalueff, A. V. (2026) · Journal of Psychopharmacology · doi:10.1177/02698811251413496 · Cited by 4
Buffering of gene dosage response curves for human complex traits
Milind, N., Smith, C. J., Zhu, H., Gjorgjieva, T., Spence, J. P., & Pritchard, J. K. (2026) · Cell Genomics · doi:10.1016/j.xgen.2026.101221 · Cited by 21
Huang, S., Zhang, H., Chen, W., Wang, J., Wu, Z., He, M., Zhang, J., Hu, X., & Xiang, S. (2023) · Current Issues in Molecular Biology · doi:10.3390/cimb45100518 · Cited by 3
Alieh, L. H. A., de Toledo, B. C., Hadarovich, A., Tóth-Petróczy, Á., & Calegari, F. (2024) · Biology Open · doi:10.1242/bio.061721 · Cited by 4
Maillard, A. M., Romascano, D., Villalón‐Reina, J. E., Moreau, C. A., Osório, J. M. A., Richetin, S., Junod, V., Yu, P., Mišić, B., Thompson, P. M., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02810-5 · Cited by 4
Self-citationConnacher, R., DiCicco-Bloom, E. M., & Millonig, J. H. (2018) · Current Pharmacology Reports · doi:10.1007/s40495-018-0155-0 · Cited by 4
Congenital Anomalies of the Kidneys
Goodyer, P., Gupta, I. R., Westland, R., & Yosypiv, I. V. (2022) · Springer eBooks · doi:10.1007/978-3-030-52719-8_86 · Cited by 5
Oligogenic effects of 16p11.2 copy number variation on craniofacial developmentPreprint
Qiu, Y., Arbogast, T., Lorenzo, S. M., Li, H., Tang, S. C., Richardson, E., Hong, O., Cho, S., Shanta, O., Pang, T., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/540732 · Cited by 4
Self-citationMännik, K., Arbogast, T., Lepamets, M., Lepik, K., Pellaz, A., Ademi, H., Kupchinsky, Z. A., Ellegood, J., Attanasio, C., Messina, A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/716415 · Cited by 5
Self-citationDharmadhikari, A. V., Abad, M. A., Khan, S., Maroofian, R., Sands, T. T., Ullah, F., Samejima, I., Shen, Y., Wear, M. A., Moore, K. E., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56876-w · Cited by 6
Copy number variant risk loci for schizophrenia converge on the BDNF pathway
Ehrhart, F., Silva, A. I., van Amelsvoort, T., von Scheibler, E. N. M. M., Evelo, C. T., & Linden, D. E. J. (2024) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2024.2327027 · Cited by 6
Yeh, E., & Weiss, L. A. (2016) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2016.10.007 · Cited by 4
Phenotypes Associated with 16p11.2 Copy Number Gains and Losses at a Single Institution
Chu, C. T., Wu, H., Xu, F., Ray, J. W., Britt, A., Robinson, S. S., Lupo, P. J., Murphy, C. R. C., Dreyer, C. F., Lee, P., et al. (2020) · Laboratory Medicine · doi:10.1093/labmed/lmaa026 · Cited by 3
Zebrafish: A Model System to Study the Architecture of Human Genetic Disease
Davis, E. E., & Katsanis, N. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809468-6.00025-5 · Cited by 3
Self-citationStudying Human Genetic Variation in Zebrafish
Lepanto, P., Zolessi, F. R., & Badano, J. L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816573-7.00005-5 · Cited by 3
Dissecting the complexity of CNV pathogenicity: insights from Drosophila and zebrafish models
Yusuff, T., Kellaris, G., Girirajan, S., & Katsanis, N. (2021) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2021.02.013 · Cited by 3
Self-citationWeiner, D. J., Ling, E., Erdin, S., Tai, D. J. C., Yadav, R., Grove, J., Fu, J. M., Nadig, A., Carey, C. E., Baya, N., et al. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.07.047 · Cited by 4
Self-citationXu, F., & Li, P. (2013) · InTech eBooks · doi:10.5772/55689 · Cited by 4
Neuropsychiatric copy number variants exert shared effects on human brain structurePreprint
Modenato, C., Kumar, K., Moreau, C. A., Martin‐Brevet, S., Huguet, G., Schramm, C., Jean‐Louis, M., Martin, C.-O., Younis, N., Tamer, P., et al. (2020) · medRxiv · doi:10.1101/2020.04.15.20056531 · Cited by 3
Self-citationConverging pathways found in copy number variation syndromes with high schizophrenia riskPreprint
Ehrhart, F., Silva, A. I., van Amelsvoort, T., von Scheibler, E. N. M. M., Evelo, C. T., & Linden, D. E. J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.07.479370 · Cited by 3
Barrientos, N. B., Shoppell, E. A., Boyd, R. J., Culotta, V., & McCallion, A. S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.16.613289 · Cited by 3
Neurological Insights into 16p11.2- And 22q11.2-Related Disorders: A Mini-Review
Lu, Y.-H., Chen, Y.-J., Lin, S.-J., Hsu, T., Niu, D., & Lin, W. (2025) · Current Genomics · doi:10.2174/0113892029338299241211063307 · Cited by 3
A Hypothesis: Metabolic Contributions to 16p11.2 Deletion Syndrome
Choo, B. K. M., Barnes, S., & Sive, H. L. (2024) · BioEssays · doi:10.1002/bies.202400177 · Cited by 2
Organism Models: Choosing the Right Model
Lévy, N., & Roubertoux, P. L. (2014) · Neuromethods · doi:10.1007/978-1-4939-2250-5_1 · Cited by 2
Tang, G., Zhang, T., Wang, X., Song, Z., Liu, F., Zhang, Q., & Huo, R. (2018) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2018.6089 · Cited by 2
Melgoza, A., & Guo, S. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-804078-2.00016-7 · Cited by 2
Dichotomous classification of autism spectrum disorders: syndromal and non-syndromal forms
Соловьева, Н. В., Kuvshinova, Y. V., Kichuk, I. V., Витальевна, Ч. С., Vilyanov, V. B., & Kremenitskaya, S. A. (2018) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro201811841107-112 · Cited by 2
The Molecular Convergence of Birdsong and Speech
Deshpande, M., & Lints, T. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8400-4_6 · Cited by 2
Ozantürk, A., Davis, E. E., Sabo, A., Weiss, M. M., Muzny, D. M., Dugan, S., Sistermans, E. A., Gibbs, R. A., Özgül, K. R., Yalnızoğlu, D., et al. (2015) · Molecular Case Studies · doi:10.1101/mcs.a000703 · Cited by 2
Self-citationVysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.23.166181 · Cited by 2
Kretz, P. F., Wagner, C., Montillot, C., Hugel, S., Morella, I., Kannan, M., Mikhaleva, A., Fischer, M., Milhau, M., Brambilla, R., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.23.477432 · Cited by 2
Self-citationQureshi, A. Y., Nielsen, J. A., & Sepulcre, J. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhae474 · Cited by 1
Neonatal seizures associated with a rare familial 16p11.2 microduplication: A case report
Chen, J., Bi, S., Wang, J., & Dai, L. (2025) · Journal of International Medical Research · doi:10.1177/03000605251358613 · Cited by 1
KCTD Family: Emerging Regulators of GPCR Biased Signaling
Jiang, W., & Zheng, S. (2025) · Handbook of experimental pharmacology · doi:10.1007/164_2025_766 · Cited by 1
Structure–Function Correlations in KCTD1/KCTD15 Proteins
Balasco, N., & Vitagliano, L. (2025) · The 5th International Symposium on Frontiers in Molecular Science · doi:10.3390/blsf2025053002 · Cited by 1
Cullin–RING receptors in rare disease biology
Szulc, N. A., & Pokrzywa, W. (2026) · Trends in Cell Biology · doi:10.1016/j.tcb.2026.01.003 · Cited by 1
Xu, J., Cheng, F., Fang, J., Cao, K., Li, G., Luo, W., Hu, D., Zhang, J., & Hu, Q. (2026) · Animals · doi:10.3390/ani16121874 · Cited by 1
Yao, T.-Y., Wu, W.-J., Law, K.-S., Lee, M.-H., Chang, S., Lee, D.-J., Lin, W., Chen, M., & Ma, G. (2021) · Diagnostics · doi:10.3390/diagnostics11081457 · Cited by 1
Copy Number Variants and Their Contribution to the Risk of Obesity
Moustafa, J. S. E.-S., & Froguel, P. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8642-8_4 · Cited by 1
Neuronal Mitochondria are Different
Berman, S., & Hardwick, J. M. (2015) · Wiley eBooks · doi:10.1002/9781119017127.ch10 · Cited by 1
Using Zebrafish to Study Human Genetic Disease
Kaslin, J., & Gibert, Y. (2017) · Encyclopedia of Life Sciences · doi:10.1002/9780470015902.a0027226 · Cited by 1
Oligogenic Effects of 16p11.2 Copy Number Variation on Craniofacial DevelopmentPreprint
Qiu, Y., Arbogast, T., Lorenzo, S. M., Li, H., Tang, S. C., Richardson, E., Hong, O., Cho, S., Shanta, O., Pang, T., et al. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3325030 · Cited by 1
Self-citationHayot, G., Massonot, M., Keime, C., Faure, E., & Golzio, C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.06.463249 · Cited by 1
Self-citationCongenital Anomalies of the Kidneys
Goodyer, P., Gupta, I. R., Westland, R., & Yosypiv, I. V. (2021) · Springer eBooks · doi:10.1007/978-3-642-27843-3_86-1 · Cited by 2
Liu, F., Chen, L., Li, Z., Zhao, S., Shangguan, S., Yuan, H., Yao, R., Qin, Z., Zhang, S., Zou, L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.10.498576 · Cited by 1
Self-citationHasegawa, Y., Kim, J., Ursini, G., Jouroukhin, Y., Zhu, X., Miyahara, Y., Xiong, F., Madireddy, S., Obayashi, M., Lutz, B., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.24.550212 · Cited by 1
Self-citationDharmadhikari, A. V., Abad, M. A., Khan, S., Maroofian, R., Sands, T. T., Ullah, F., Samejima, I., Wear, M. A., Moore, K. E., Kondakova, E., et al. (2024) · medRxiv · doi:10.1101/2024.01.09.23300329 · Cited by 1
Recurrent CNVs in the Etiology of Epigenetic Neurodevelopmental Disorders
LaSalle, J. M., & Islam, M. S. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8078-5_7
Advances in Autism Research – The Genomic Basis of ASD
Lacaria, M., & James, R. (2013) · InTech eBooks · doi:10.5772/53689
Aas, M., Blokland, G. A. M., Chawner, S. J. R. A., Choi, S. W., Estrada, J., Forsingdal, A., Friedrich, M. U., Ganesham, S., Hall, L. S., Haslinger, D., et al. (2015) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000112
Cytogenomic Abnormalities and Underlying Mechanisms for Intellectual and Developmental Disabilities
Li, P. (2013) · Journal of Molecular and Genetic Medicine · doi:10.4172/1747-0862.1000073
Dissecting the Genetic Basis of Parkinson Disease, Dystonia and Chorea
Mencacci, N. (2016) · UCL Discovery (University College London)
Title:'Genetic'heterogeneity'in'autism:'from'single'gene'to'a' pathway'perspective'
Claudianos, C. (2016)
A Bioinformatic Framework to Assess the Genomic Response of Species to Environmental Toxins
Nazari, S. (2018) · The Atrium (University of Guelph)
Discovering Biomarkers of Alzheimer's Disease by Statistical Learning Approaches
Long, J. (2019) · PEARL (University of Plymouth) · doi:10.24382/645
Expression of genes in the 16p11.2 locus during human fetal cortical neurogenesis
Morson, S. (2020) · ERA · doi:10.7488/era/28
Neural Activity of 16p11.2 CNV Human and Mouse
Al‐Jawahiri, R. (2019) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
Gene clustering drives the transcriptional coherence of disparate biological processes in eukaryotes
Joh, R. I., Lawrence, M. S., Aryee, M. J., & Motamedi, M. (2026) · iScience · doi:10.1016/j.isci.2026.116971
Roubertoux, P. L., & Carlier, M. (2016) · Springer eBooks · doi:10.1007/978-1-4939-3777-6_5
Sakai, C., & Hoffman, E. J. (2016) · Springer eBooks · doi:10.1007/978-1-4614-6435-8_102152-1
Sakai, C., & Hoffman, E. J. (2021) · Springer eBooks · doi:10.1007/978-3-319-91280-6_102152
Expression of genes in the 16p11.2 locus during human fetal cortical neurogenesisPreprint
Morson, S., Yang, Y., Price, D. J., & Pratt, T. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/633461
Novel Approaches for Treating Pediatric Psychiatric Disorders
Prasad, S., & Cook, E. H. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190681425.003.0067
Fetit, R., Theil, T., Pratt, T., & Price, D. J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.22.504797
Role of cryptic rearrangements of human chromosomes in the aetiology of schizophrenia
Jurisova, L., & Šolc, R. (2023) · Journal of Genetics · doi:10.1007/s12041-023-01427-9
(2023) · The MIT Press eBooks · doi:10.7551/mitpress/15380.003.0024
Alieh, L. H. A., de Toledo, B. C., Hadarovich, A., Tóth-Petróczy, Á., & Calegari, F. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.11.561865
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907206
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907188
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907185
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907215
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907194
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907212
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907197
Vysotskiy, M., Zhong, X. Y., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907218
Etiology and Translational Research in Neurodevelopmental Disorders
Li, F., Xu, M., Yu, J., & Cao, M. Y. (2024) · Springer eBooks · doi:10.1007/978-981-97-7433-3_2
EGR3 Deletion Rescues Developmental and Epileptic Encephalopathy in Kcna1 -null MicePreprint
Mazumder, A. G., Karedia, S., Adhyapak, N., Schimer, C., Bass, J. S., Kamen, J. L., Jankovic, M. J., Miao, Q., Gallitano, A. L., Saltzman, A. B., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.07.658422
Gadacha, J., Haidar, Z., Roëckel, N., Pauset, A., Castro, C., Provost, C., Hamzé, Z., Humbert, C., Bertaux, K., Lenfant, N., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.30.661538
Childhood obesity influences mid-to-late life bone health through shared genetic architecture
Xia, M., Qu, Y., Lei, B., Zhong, Y., Han, T., Sha, L., Zhu, J., Song, X., Yang, B. T., Deng, Q., et al. (2025) · Bone · doi:10.1016/j.bone.2025.117639
Schwarzpaul, J., Droell, C. M., Kumar, A., Sarma, H., Gruenauer, M., Ucar, S. Z., Hechavarría, J. C., Chiocchetti, A. G., & Haslinger, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.08.673916
Genetics of Autism Spectrum Disorders: The Opportunity and Challenge in the Genetics Clinic
Wang, Y., Wang, P., Xu, X., Goldstein, J., McConkie‐Rosell, A., Cheung, S. W., & Jiang, Y. (2015) · Contemporary clinical neuroscience · doi:10.1007/978-1-4939-2190-4_4
Yang, 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. (2024) · Figshare · doi:10.6084/m9.figshare.26562655
Kretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26640508
Self-citationKretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26640532
Self-citationLorenzo, S. M., Nalesso, V., Chevalier, C., Birling, M., & Hérault, Y. (2021) · Figshare · doi:10.6084/m9.figshare.13565934
Kretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26640514
Self-citationKretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26640520
Self-citationKretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26640502
Self-citationSzelest, M., Stefaniak, M., Ręka, G., Jaszczuk, I., & Lejman, M. (2021) · Figshare · doi:10.6084/m9.figshare.14196438
Kretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24572204
Self-citationVysotskiy, M., Zhong, X., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907209
Kretz, P. F., Wagner, C., Mikhaleva, A., Montillot, C., Hugel, S., Morella, I., Kannan, M., Fischer, M., Milhau, M., Yalçın, İ., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26640529
Self-citationVysotskiy, M., Zhong, X., Miller‐Fleming, T. W., Zhou, D., Cox, N. J., & Weiss, L. A. (2021) · Figshare · doi:10.6084/m9.figshare.16907191
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