TBR1 regulates autism risk genes in the developing neocortex
Open accessAbstract
Exome sequencing studies have identified multiple genes harboring de novo loss-of-function (LoF) variants in individuals with autism spectrum disorders (ASD), including TBR1, a master regulator of cortical development. We performed ChIP-seq for TBR1 during mouse cortical neurogenesis and show that TBR1-bound regions are enriched adjacent to ASD genes. ASD genes were also enriched among genes that are differentially expressed in Tbr1 knockouts, which together with the ChIP-seq data, suggests direct transcriptional regulation. Of the nine ASD genes examined, seven were misexpressed in the cortices of Tbr1 knockout mice, including six with increased expression in the deep cortical layers. ASD genes with adjacent cortical TBR1 ChIP-seq peaks also showed unusually low levels of LoF mutations in a reference human population and among Icelanders. We then leveraged TBR1 binding to identify an appealing subset of candidate ASD genes. Our findings highlight a TBR1-regulated network of ASD genes in the developing neocortex that are relatively intolerant to LoF mutations, indicating that these genes may play critical roles in normal cortical development.
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
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?
ChIP-Seq of TBR1 in developing neocortex found that it binds next to high-confidence ASD genes more frequently than other brain-expressed transcription factors.
“Chromatin Immunoprecipitation Sequencing (ChIP-Seq) of TBR1 in the developing neocortex found that this protein binds next to high-confidence ASD genes more frequently than other transcription factors that are expressed in the brain (Notwell et al., 2016).”
From Getting to the cores of autism (2019) · cites this paper as Notwell et al., 2016
Transcriptomic analysis of developing brain in transgenic mouse models of SETD5, FOXP1, and TBR1 suggests that mutations in these genes lead to dysregulation of ASD genes in trans.
“Similarly transcriptomic analysis of developing brain in transgenic mouse models of SETD5 (Pizzo et al., 2018), FOXP1 (Araujo et al., 2015), TBR1 (Notwell et al., 2016) suggests that mutations in these genes leads to the dysregulation of ASD genes in trans.”
From Getting to the cores of autism (2019) · cites this paper as Notwell et al., 2016
Few public ChIP-seq profiles exist for neural-specific transcription factors, and most of those have been performed in the developing mouse neocortex.
“However, very few public chromatin immunoprecipitation sequencing (ChIP-seq) profiles exist, and most of those have been performed in the developing mouse neocortex (Bayam et al., 2015, Notwell et al., 2016, Sun et al., 2015).”
From Multiscale 3D Genome Rewiring during Mouse Neural Development (2017) · cites this paper as Notwell et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638 · see citing works
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
A new mathematical model for relative quantification in real-time RT-PCR
Pfaffl, M. W. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.9.e45 · Cited by 34,610 · see citing works
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
Primer3 on the WWW for General Users and for Biologist Programmers
Rozen, S., & Skaletsky, H. (2003) · Humana Press eBooks · doi:10.1385/1-59259-192-2:365 · Cited by 14,952 · see citing works
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587 · see citing works
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480 · see citing works
GREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502 · see citing works
Self-citationGlutamate receptor ion channels
Mayer, M. L. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.05.004 · Cited by 3,645 · see citing works
The Glutamate Receptor Ion Channels
Dingledine, R., Borges, K., Bowie, D., & Traynelis, S. F. (1999) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01394-2 · Cited by 3,554 · see citing works
Gene Ontology Consortium: going forward
The Gene Ontology Consortium (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1179 · Cited by 3,492 · see citing works
Synaptic, transcriptional and chromatin genes disrupted in autism
Study, T. D., De Rubeis, S., Autism, H. M. C. F., UK10K Consortium, The Autism Sequencing Consortium, He, X., Goldberg, A. P., Poultney, C. S., Samocha, K., Ercument Cicek, A., et al. (2014) · Nature · doi:10.1038/nature13772 · Cited by 2,746 · see citing works
The contribution of de novo coding mutations to autism spectrum disorder
Iossifov, I., O’Roak, B. J., Sanders, S. J., Ronemus, M., Krumm, N., Levy, D., Stessman, H. A., Witherspoon, K. T., Vives, L., Patterson, K. E., et al. (2014) · Nature · doi:10.1038/nature13908 · Cited by 2,585 · see citing works
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 · cited 3× · see citing works
“(Iossifov et al. 2012; Kong et al. 2012; Neale et al. 2012; O’Roak et al. 2012), with an additional 56 quartets from the Simons Simplex collection (Willsey et al.”
BackgroundMethodResultRate 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 · see citing works
MEME-ChIP: motif analysis of large DNA datasets
Machanick, P., & Bailey, T. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr189 · Cited by 1,815 · see citing works
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 · see citing works
Neuronal subtype specification in the cerebral cortex
Molyneaux, B. J., Arlotta, P., Menezes, J. R. L., & Macklis, J. D. (2007) · Nature reviews. Neuroscience · doi:10.1038/nrn2151 · Cited by 1,632 · see citing works
A framework for oligonucleotide microarray preprocessing
Carvalho, B. S., & Irizarry, R. A. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq431 · Cited by 1,554 · see citing works
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 · see citing works
DNA-Binding Specificities of Human Transcription Factors
Jolma, A., Yan, J., Whitington, T., Toivonen, J., Nitta, K. R., Rastas, P. M. A., Morgunova, E. Y., Enge, M., Taipale, M., Wei, G., et al. (2013) · Cell · doi:10.1016/j.cell.2012.12.009 · Cited by 1,228 · see citing works
Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations
O'Roak, B. J., Deriziotis, P., Lee, C., Vives, L., Schwartz, J. J., Girirajan, S., Karakoc, E., MacKenzie, A. P., Ng, S. B., Baker, C., et al. (2011) · Nature Genetics · doi:10.1038/ng.835 · Cited by 1,203 · see citing works
Cunningham, F., Amode, M. R., Barrell, D., Beal, K., Billis, K., Brent, S., Carvalho-Silva, D., Clapham, P., Coates, G., Fitzgerald, S., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1010 · Cited by 1,115 · see citing works
Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism
Parikshak, N. N., Luo, R., Zhang, A., Won, H., Lowe, J. K., Chandran, V., Horvath, S., & Geschwind, D. H. (2013) · Cell · doi:10.1016/j.cell.2013.10.031 · Cited by 1,039 · see citing works
The UCSC Genome Browser database: 2015 update
Rosenbloom, K., Armstrong, J., Barber, G. P., Casper, J., Clawson, H., Diekhans, M., Dreszer, T. R., Fujita, P. A., Guruvadoo, L., Haeussler, M., et al. (2014) · Nucleic Acids Res. · doi:10.1093/nar/gku1177 · Cited by 1,011 · see citing works
Measuring reproducibility of high-throughput experiments
Li, Q., Brown, J. B., Huang, H., & Bickel, P. J. (2011) · The Annals of Applied Statistics · doi:10.1214/11-aoas466 · Cited by 1,008 · see citing works
Willsey, A. J., Sanders, S. J., Li, M., Dong, S., Tebbenkamp, A. T., Muhle, R. A., Reilly, S. K., Lin, L., Fertuzinhos, S., Miller, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.020 · Cited by 934 · see citing works
Measuring reproducibility of high-throughput experiments
Li, Q., Brown, J. B., Huang, H., & Bickel, P. J. (2010) · UC Berkeley · Cited by 915 · see citing works
Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes
Petrovski, S., Wang, Q., Heinzen, E. L., Allen, A. S., & Goldstein, D. B. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003709 · Cited by 901 · see citing works
Tbr1 regulates differentiation of the preplate and layer 6
Hevner, R. F., Shi, L., Justice, N., Hsueh, Y.-P., Sheng, M., Smiga, S., Bulfone, A., Goffinet, A. M., Campagnoni, A. T., & Rubenstein, J. L. R. (2001) · Neuron · doi:10.1016/s0896-6273(01)00211-2 · Cited by 857 · see citing works
Self-citationMice lacking Dlx1 show subtype-specific loss of interneurons, reduced inhibition and epilepsy
Cobos, I., Calcagnotto, M. E., Vilaythong, A. J., Thwin, M. T., Noebels, J. L., Baraban, S. C., & Rubenstein, J. L. R. (2005) · Nature Neuroscience · doi:10.1038/nn1499 · Cited by 502 · see citing works
Self-citationUsing Whole-Exome Sequencing to Identify Inherited Causes of Autism
Yu, T. W., Chahrour, M. H., Coulter, M. E., Jiralerspong, S., Okamura-Ikeda, K., Ataman, B., Schmitz-Abe, K., Harmin, D. A., Adli, M., Malik, A. N., et al. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.002 · Cited by 442 · see citing works
Bulfone, A., Smiga, S., Shimamura, K., Peterson, A. S., Puelles, L., & Rubenstein, J. L. R. (1995) · Neuron · doi:10.1016/0896-6273(95)90065-9 · Cited by 425 · see citing works
Self-citationA de novo convergence of autism genetics and molecular neuroscience
Krumm, N., O’Roak, B. J., Shendure, J., & Eichler, E. E. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2013.11.005 · Cited by 423 · see citing works
The determination of projection neuron identity in the developing cerebral cortex
Leone, D. P., Srinivasan, K., Chen, B., Alcamo, E., & McConnell, S. K. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2008.05.006 · Cited by 382 · see citing works
Self-citationThe Mouse Genome Database (MGD): facilitating mouse as a model for human biology and disease
Eppig, J. T., Blake, J. A., Bult, C. J., Kadin, J. A., Richardson, J. E., & The Mouse Genome Database Group (2014) · Nucleic Acids Research · doi:10.1093/nar/gku967 · Cited by 358 · see citing works
Tbr1 regulates regional and laminar identity of postmitotic neurons in developing neocortex
Bedogni, F., Hodge, R. D., Elsen, G. E., Nelson, B. R., Daza, R. A. M., Beyer, R. P., Bammler, T. K., Rubenstein, J. L. R., & Hevner, R. F. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002285107 · Cited by 322 · see citing works
Self-citationOtx1 and Otx2 define layers and regions in developing cerebral cortex and cerebellum
Frantz, G. D., Weimann, J. M., Levin, M., & McConnell, S. K. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-10-05725.1994 · Cited by 306 · see citing works
Self-citationMcKenna, W. L., Betancourt, J., Larkin, K. A., Abrams, B., Guo, C., Rubenstein, J. L. R., & Chen, B. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4131-10.2011 · Cited by 252 · see citing works
Self-citationThe 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 · see citing works
The Generation Of Neuronal Diversity In The Central Nervous System
McConnell, S. K. (1991) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.14.030191.001413 · Cited by 247 · see citing works
Self-citationIdentification of a large set of rare complete human knockouts
Sulem, P., Helgason, H., Oddson, A., Stefansson, H., Gudjonsson, S. A., Zink, F., Hjartarson, E., Sigurdsson, G. T., Jonasdottir, A., Jonasdottir, A., et al. (2015) · Nature Genetics · doi:10.1038/ng.3243 · Cited by 220 · see citing works
Han, W., Kwan, K. Y., Shim, S., Lam, M. M. S., Shin, Y., Xu, X., Zhu, Y., Li, M., & Šestan, N. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016723108 · Cited by 206 · see citing works
Loss-of-function variants in the genomes of healthy humans
MacArthur, D. G., & Tyler‐Smith, C. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq365 · Cited by 195 · see citing works
Tbr1 haploinsufficiency impairs amygdalar axonal projections and results in cognitive abnormality
Huang, T.-N., Chuang, H.-C., Chou, W.-H., Chen, C.-Y., Wang, H.-F., Chou, S.-J., & Hsueh, Y.-P. (2014) · Nature Neuroscience · doi:10.1038/nn.3626 · Cited by 180 · see citing works
A role for Sonic hedgehog in axon-to-astrocyte signalling in the rodent optic nerve
Wallace, V. A., & RAFF, M. C. (1999) · Development · doi:10.1242/dev.126.13.2901 · Cited by 177 · see citing works
Uddin, M., Tammimies, K., Pellecchia, G., Alipanahi, B., Hu, P., Wang, Z., Pinto, D., Lau, L., Nalpathamkalam, T., Marshall, C. R., et al. (2014) · Nature Genetics · doi:10.1038/ng.2980 · Cited by 163 · see citing works
Constructing and Deconstructing Stem Cell Models of Neurological Disease
Han, S. S. W., Williams, L. A., & Eggan, K. C. (2011) · Neuron · doi:10.1016/j.neuron.2011.05.003 · Cited by 159 · see citing works
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 2× · see citing works
“www.genome.org A recent study showed that LoF variants in KATNAL2 were passed from an unaffected mother to their unaffected male child, reinforcing this point (Iossifov et al. 2015).”
BackgroundLoss of δ-catenin function in severe autism
Turner, T. N., Sharma, K., Oh, E. C. T., Liu, Y. P., Collins, R. L., Sosa, M. X., Auer, D. R., Brand, H., Sanders, S., Moreno‐De‐Luca, D., et al. (2015) · Nature · doi:10.1038/nature14186 · Cited by 151 · see citing works
Integrated systems analysis reveals a molecular network underlying autism spectrum disorders
Li, J., Shi, M., Ma, Z., Zhao, S., Euskirchen, G., Ziskin, J., Urban, A., Hallmayer, J., & Snyder, M. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145487 · Cited by 132 · cited 4× · see citing works
“Additional gene lists were obtained from references (Parikshak et al. 2013; Li et al. 2014; Hormozdiari et al. 2015) and mapped using the same procedures.”
BackgroundMethodResultInfluentialDLX5 Regulates Development of Peripheral and Central Components of the Olfactory System
Long, J. E., Garel, S., Depew, M. J., Tobet, S. A., & Rubenstein, J. L. R. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-02-00568.2003 · Cited by 131 · see citing works
Self-citationDe novo TBR1 mutations in sporadic autism disrupt protein functions
Deriziotis, P., O’Roak, B. J., Graham, S. A., Estruch, S. B., Dimitropoulou, D., Bernier, R., Gerdts, J. A., Shendure, J., Eichler, E. E., & Fisher, S. E. (2014) · Nature Communications · doi:10.1038/ncomms5954 · Cited by 115 · see citing works
A family of transposable elements co-opted into developmental enhancers in the mouse neocortex
Notwell, J. H., Chung, T. R., Heavner, W. E., & Bejerano, G. (2015) · Nature Communications · doi:10.1038/ncomms7644 · Cited by 104 · see citing works
Self-citationMcKenna, W. L., Ortiz-Londono, C. F., Mathew, T. K., Hoang, K., Katzman, S. J., & Chen, B. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504144112 · Cited by 84 · see citing works
Self-citationChuang, H.-C., Huang, T.-N., & Hsueh, Y.-P. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00280 · Cited by 56 · see citing works
T‐Brain‐1 – A Potential Master Regulator in Autism Spectrum Disorders
Chuang, H., Huang, T., & Hsueh, Y. (2015) · Autism Research · doi:10.1002/aur.1456 · Cited by 52 · see citing works
Wenger, A. M., Clarke, S. L., Notwell, J. H., Chung, T. R., Tuteja, G., Guturu, H., Schaar, B. T., & Bejerano, G. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003728 · Cited by 35 · see citing works
Self-citationInvestigation of TBR1 Hemizygosity: Four Individuals with 2q24 Microdeletions
Traylor, R. N., Dobyns, W. B., Rosenfeld, J. A., Wheeler, P. G., Spence, J. E., Bandholz, A. M., Bawle, E. V., Carmany, E. P., Powell, C. M., Hudson, B., et al. (2012) · Molecular Syndromology · doi:10.1159/000342008 · Cited by 34 · see citing works
Darbandi, S. F., & Franck, J. P. C. (2009) · Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology · doi:10.1016/j.cbpb.2009.09.003 · Cited by 33 · see citing works
Self-citationMultiple conserved regulatory domains promote Fezf2 expression in the developing cerebral cortex
Eckler, M. J., Larkin, K. A., McKenna, W. L., Katzman, S., Guo, C., Roque, R., Visel, A., Rubenstein, J. L. L., & Chen, B. (2014) · Neural Development · doi:10.1186/1749-8104-9-6 · Cited by 27 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Multiscale 3D Genome Rewiring during Mouse Neural Development
Bonev, B., Mendelson Cohen, N., Szabo, Q., Fritsch, L., Papadopoulos, G. L., Lubling, Y., Xu, X., Lv, X., Hugnot, J.-P., Tanay, A., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.043 · Cited by 1,338 · see citing works
Getting to the cores of autism
Iakoucheva, L. M., Muotri, A. R., & Sebat, J. (2019) · Cell · doi:10.1016/j.cell.2019.07.037 · Cited by 260 · see citing works
Chromatin accessibility dynamics in a model of human forebrain development
Trevino, A. E., Sinnott-Armstrong, N., Andersen, J., Yoon, S.-J., Huber, N., Pritchard, J. K., Chang, H. Y., Greenleaf, W. J., & Pașca, S. P. (2020) · Science · doi:10.1126/science.aay1645 · Cited by 251 · see citing works
Küry, S., Besnard, T., Ebstein, F., Khan, T. N., Gambin, T., Douglas, J., Bacino, C. A., Craigen, W. J., Sanders, S. J., Lehmann, A., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.003 · Cited by 110 · see citing works
Saul, M. C., Seward, C. H., Troy, J. M., Zhang, H., Sloofman, L. G., Lu, X., Weisner, P. A., Caetano-Anolles, D., Sun, H., Zhao, S. D., et al. (2017) · Genome Research · doi:10.1101/gr.214221.116 · Cited by 46 · see citing works
- Authors
- Notwell, J. H., Heavner, W. E., Darbandi, S. F., Katzman, S., McKenna, W. L., Ortiz-Londono, C. F., Tastad, D., Eckler, M. J., Rubenstein, J. L. R., McConnell, S. K., Chen, B., & Bejerano, G.
- Affiliations
- Stanford University (US)
- University of California, San Francisco (US)
- University of California, Santa Cruz (US)
- Stanford Medicine (US)
- ORCID
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2016-06-20
- Volume
- 26
- Issue
- 8
- Pages
- 1013-1022
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- PMC
- PMC4971772
- OpenAlex
- W2462978951
- Cited by
- 74
- References
- 62
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 10 · 2021: 9 · 2020: 11 · 2019: 10 · 2018: 5 · 2017: 11
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Science Foundation (DGE-1147470)
- Bio-X Stanford
- National Institute of Neurological Disorders and Stroke (R01 NS34661)
- National Institute of Mental Health (R37 MH049428)
- National Institutes of Health (R01 MH51864)
- Stanford Bio-X Interdisciplinary Initiatives Seed
- NIH (R01 MH094589, U01 MH105949)
- Packard
- Microsoft Research
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- Tbr1, autism spectrum disorder, neocortex development, cortical neurogenesis, transcriptional regulation, deep cortical layers, Icelanders
- MeSH terms
- Autism Spectrum Disorder, Animals, Disease Models, Animal, DNA-Binding Proteins, Gene Expression Regulation, Humans, Mutation, Neurons, Risk Factors, Neocortex, T-Box Domain Proteins, Mice, Neurogenesis, Gene Knockout Techniques, Exome
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