Mouse population genetics phenocopies heterogeneity of human Chd8 haploinsufficiency
Open accessPublished version of a preprint
Abstract
Preclinical models of neurodevelopmental disorders typically use single inbred mouse strains, which fail to capture the genetic diversity and symptom heterogeneity that is common clinically. We tested whether modeling genetic background diversity in mouse genetic reference panels would recapitulate population and individual differences in responses to a syndromic mutation in the high-confidence autism risk gene, CHD8. We measured clinically relevant phenotypes in >1,000 mice from 33 strains, including brain and body weights and cognition, activity, anxiety, and social behaviors, using 5 behavioral assays: cued fear conditioning, open field tests in dark and bright light, direct social interaction, and social dominance. Trait disruptions mimicked those seen clinically, with robust strain and sex differences. Some strains exhibited large effect-size trait disruptions, sometimes in opposite directions, and-remarkably-others expressed resilience. Therefore, systematically introducing genetic diversity into models of neurodevelopmental disorders provides a better framework for discovering individual differences in symptom etiologies.
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?
Patients carrying distinct mutations in broad-acting neurodevelopmental regulator genes consistently display core behavioral characteristics of ASD, though the underlying biological mechanisms remain incompletely understood.
“Patients carrying distinct mutations in these genes consistently display core behavioral characteristics of ASD (Tabbaa et al., 2023), though the underlying biological mechanisms remain incompletely understood.”
From Biological hierarchy from genotype to phenotype in syndromic and non-syndromic autism spectrum disorder (2026) · cites this paper as Tabbaa et al., 2023
The Introduction (page not provided) links CHD8 mutations in clinical populations to ASD, but says the associated traits have variable penetrance and severity. The Discussion (page not provided) says people with ASD may have core trait disruptions that manifest in opposite directions. These passages support an association with ASD-related behavior, not the claim that patients with distinct mutations in these genes consistently display the same core characteristics. (LLM, conf=0.84)
Experimental — accuracy not yet measured
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
1 retracted
Christensen, D. L., Braun, K. V. N., Baio, J., Bilder, D., Charles, J., Constantino, J. N., Daniels, J., Durkin, M. S., Fitzgerald, R. T., Kurzius-Spencer, M., et al. (2018) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6513a1 · Cited by 587 · see citing works
RetractedChristensen, D. L., Baio, J., Braun, K. V. N., Bilder, D., Charles, J., Constantino, J. N., Daniels, J., Durkin, M. S., Fitzgerald, R. T., Kurzius-Spencer, M., et al. (2016) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6503a1 · Cited by 1,964 · 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
INFANTILE AUTISM: A GENETIC STUDY OF 21 TWIN PAIRS
Folstein, S., & Rutter, M. (1977) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1977.tb00443.x · Cited by 1,361 · see citing works
Single-cell genomics identifies cell type–specific molecular changes in autism
Velmeshev, D., Schirmer, L., Jung, D., Haeussler, M., Perez, Y., Mayer, S., Bhaduri, A., Goyal, N., Rowitch, D. H., & Kriegstein, A. R. (2019) · Science · doi:10.1126/science.aav8130 · Cited by 927 · see citing works
Talkowski, M. E., Rosenfeld, J. A., Blumenthal, I., Pillalamarri, V., Chiang, C., Heilbut, A., Ernst, C., Hanscom, C., Rossin, E., Lindgren, A. M., et al. (2012) · Cell · doi:10.1016/j.cell.2012.03.028 · Cited by 577 · see citing works
The role of de novo mutations in the genetics of autism spectrum disorders
Ronemus, M., Iossifov, I., Levy, D., & Wigler, M. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3585 · Cited by 390 · see citing works
Concordance for the syndrome of autism in 40 pairs of afflicted twins
(1985) · American Journal of Psychiatry · doi:10.1176/ajp.142.1.74 · Cited by 378 · see citing works
Host genetic diversity enables Ebola hemorrhagic fever pathogenesis and resistance
Rasmussen, A. L., Okumura, A., Ferris, M. T., Green, R., Feldmann, F., Kelly, S. M., Scott, D. P., Safronetz, D., Haddock, E., LaCasse, R., et al. (2014) · Science · doi:10.1126/science.1259595 · Cited by 290 · see citing works
Germline Chd8 haploinsufficiency alters brain development in mouse
Gompers, A. L., Su-Feher, L., Ellegood, J., Copping, N. A., Riyadh, M. A., Stradleigh, T. W., Pride, M. C., Schaffler, M. D., Wade, A. A., Catta-Preta, R., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4592 · Cited by 266 · see citing works
Chd8 Mutation Leads to Autistic-like Behaviors and Impaired Striatal Circuits
Platt, R. J., Zhou, Y., Slaymaker, I. M., Shetty, A. S., Weisbach, N. R., Kim, J.-A., Sharma, J., Desai, M., Sood, S., Kempton, H. R., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.03.052 · Cited by 240 · see citing works
Neuner, S. M., Heuer, S. E., Huentelman, M. J., O’Connell, K. M. S., & Kaczorowski, C. C. (2019) · Neuron · doi:10.1016/j.neuron.2018.11.040 · Cited by 202 · see citing works
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 · see citing works
Genetic correlates of phenotypic heterogeneity in autism
Warrier, V., Zhang, X., Reed, P., Havdahl, A., Moore, T. M., Cliquet, F., Leblond, C. S., Rolland, T., Rosengren, A., LEAP, E.-A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01072-5 · Cited by 152 · see citing works
Flagged first, then by citations
Research works printed but not linked: 61
- [1]Antaki D, Guevara J, Maihofer AX, Klein M, Gujral M, Grove J, Carey CE, Hong O, Arranz MJ, Hervas A, (2022). A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex. Nat. Genet., 1– 9. 10.1038/s41588-022-01064-5. 35654974 PMC9474668 · DOI · Paper page
- [3]Jeste SS, and Geschwind DH (2014). Disentangling the heterogeneity of autism spectrum disorder through genetic findings. Nat. Rev. Neurol. 10, 74– 81. 10.1038/nrneurol.2013.278. 24468882 PMC4125617 · DOI · Paper page
- [4]Sl S, Rf A, and Ma S (1988). Autism and genetics. A decade of research. Arch. Gen. Psychiatry 45. 10.1001/archpsyc.1988.01800340081013. 3048227 · DOI
- [7]Chesler EJ (2014). Out of the bottleneck: the Diversity Outcross and Collaborative Cross mouse populations in behavioral genetics research. Mamm. Genome Off. J. Int. Mamm. Genome Soc. 25, 3– 11. 10.1007/s00335-013-9492-9. PMC3916706 24272351 · DOI
- [8]Sittig LJ, Carbonetto P, Engel KA, Krauss KS, Barrios-Camacho CM, and Palmer AA (2016). Genetic background limits generalizability of genotype-phenotype relationships. Neuron 91, 1253– 1259. 10.1016/j.neuron.2016.08.013. 27618673 PMC5033712 · DOI
- [9]Williams RW (2009). Herding cats: the sociology of data integration. Front. Neurosci. 3, 154– 156. 10.3389/neuro.01.016.2009. 20228863 PMC2751652 · DOI
- [10]Crabbe JC, Wahlsten D, and Dudek BC (1999). Genetics of mouse behavior: interactions with laboratory environment. Science 284, 1670– 1672. 10.1126/science.284.5420.1670. 10356397 · DOI · Paper page
- [11]Bolivar VJ, Walters SR, and Phoenix JL (2007). Assessing autism-like behavior in mice: variations in social interactions among inbred strains. Behav. Brain Res. 176, 21– 26. 10.1016/j.bbr.2006.09.007. 17097158 PMC1831820 · DOI · Paper page
- [12]Nadler JJ, Zou F, Huang H, Moy SS, Lauder J, Crawley JN, Threadgill DW, Wright FA, and Magnuson TR (2006). Large-scale gene expression differences across brain regions and inbred strains correlate with a behavioral phenotype. Genetics 174, 1229– 1236. 10.1534/genetics.106.061481. 16980393 PMC1667050 · DOI
- [13]Moy SS, Nadler JJ, Young NB, Perez A, Holloway LP, Barbaro RP, Barbaro JR, Wilson LM, Threadgill DW, Lauder JM, (2007). Mouse behavioral tasks relevant to autism: phenotypes of 10 inbred strains. Behav. Brain Res. 176, 4– 20. 10.1016/j.bbr.2006.07.030. 16971002 PMC1857288 · DOI · Paper page
- [14]Ashbrook DG, Arends D, Prins P, Mulligan MK, Roy S, Williams EG, Lutz CM, Valenzuela A, Bohl CJ, Ingels JF, (2021). A platform for experimental precision medicine: The extended BXD mouse family. Cell Syst. 12, 235– 247.e9. 10.1016/j.cels.2020.12.002. 33472028 PMC7979527 · DOI · Paper page
- [15]Swanzey E, O’Connor C, and Reinholdt LG (2021). Mouse Genetic Reference Populations: Cellular Platforms for Integrative Systems Genetics. Trends Genet. 37, 251– 265. 10.1016/j.tig.2020.09.007. 33010949 PMC7889615 · DOI
- [17]Rogala AR, Morgan AP, Christensen AM, Gooch TJ, Bell TA, Miller DR, Godfrey VL, and de Villena FP-M (2014). The Collaborative Cross as a resource for modeling human disease: CC011/Unc, a new mouse model for spontaneous colitis. Mamm. Genome Off. J. Int. Mamm. Genome Soc. 25, 95– 108. 10.1007/s00335-013-9499-2. PMC3960486 24487921 · DOI
- [18]Ferguson B, Ram R, Handoko HY, Mukhopadhyay P, Muller HK, Soyer HP, Morahan G, and Walker GJ (2015). Melanoma susceptibility as a complex trait: genetic variation controls all stages of tumor progression. Oncogene 34, 2879– 2886. 10.1038/onc.2014.227. 25088201 · DOI
- [19]Hackett JB, Glassbrook JE, Muñiz MC, Bross M, Fielder A, Dyson G, Movahhedin N, McCasland J, McCarthy-Leo C, and Gibson HM (2022). A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors. Oncoimmunology 11, 2064958. 10.1080/2162402X.2022.2064958. 35481286 PMC9037414 · DOI
- [20]Cichocki JA, Furuya S, Venkatratnam A, McDonald TJ, Knap AH, Wade T, Sweet S, Chiu WA, Threadgill DW, and Rusyn I (2017). Characterization of Variability in Toxicokinetics and Toxicodynamics of Tetrachloroethylene Using the Collaborative Cross Mouse Population. Environ. Health Perspect. 125, 057006. 10.1289/EHP788. 28572074 PMC5726344 · DOI
- [21]Andreux PA, Williams EG, Koutnikova H, Houtkooper RH, Champy M-F, Henry H, Schoonjans K, Williams RW, and Auwerx J (2012). Systems genetics of metabolism: the use of the BXD murine reference panel for multiscalar integration of traits. Cell 150, 1287– 1299. 10.1016/j.cell.2012.08.012. 22939713 PMC3604687 · DOI
- [23]Medetgul-Ernar K, and Davis MM (2022). Standing on the shoulders of mice. Immunity 55, 1343– 1353. 10.1016/j.immuni.2022.07.008. 35947979 PMC10035762 · DOI
- [24]Knoll AT, Halladay LR, Holmes AJ, and Levitt P (2016). Quantitative Trait Loci and a Novel Genetic Candidate for Fear Learning. J. Neurosci. Off. J. Soc. Neurosci. 36, 6258– 6268. 10.1523/JNEUROSCI.0177-16.2016. PMC4899527 27277803 · DOI
- [25]Knoll AT, Jiang K, and Levitt P (2018). Quantitative trait locus mapping and analysis of heritable variation in affiliative social behavior and co-occurring traits. Genes Brain Behav. 17, e12431. 10.1111/gbb.12431. 29052939 PMC5910301 · DOI
- [26]Chesler EJ, Miller DR, Branstetter LR, Galloway LD, Jackson BL, Philip VM, Voy BH, Culiat CT, Threadgill DW, Williams RW, (2008). The Collaborative Cross at Oak Ridge National Laboratory: developing a powerful resource for systems genetics. Mamm. Genome Off. J. Int. Mamm. Genome Soc. 19, 382– 389. 10.1007/s00335-008-9135-8. PMC2745091 18716833 · DOI
- [27]Churchill GA, Airey DC, Allayee H, Angel JM, Attie AD, Beatty J, Beavis WD, Belknap JK, Bennett B, Berrettini W, (2004). The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat. Genet. 36, 1133– 1137. 10.1038/ng1104-1133. 15514660 · DOI
- [28]Peirce JL, Lu L, Gu J, Silver LM, and Williams RW (2004). A new set of BXD recombinant inbred lines from advanced intercross populations in mice. BMC Genet. 5, 7. 10.1186/1471-2156-5-7. 15117419 PMC420238 · DOI
- [29]Weissberg O, and Elliott E (2021). The Mechanisms of CHD8 in Neurodevelopment and Autism Spectrum Disorders. Genes 12, 1133. 10.3390/genes12081133. 34440307 PMC8393912 · DOI
- [30]Bernier R, Golzio C, Xiong B, Stessman HA, Coe BP, Penn O, Witherspoon K, Gerdts J, Baker C, Vulto-van Silfhout AT, (2014). Disruptive CHD8 mutations define a subtype of autism early in development. Cell 158, 263– 276. 10.1016/j.cell.2014.06.017. 24998929 PMC4136921 · DOI · Paper page
- [31]Ostrowski PJ, Zachariou A, Loveday C, Beleza-Meireles A, Bertoli M, Dean J, Douglas AGL, Ellis I, Foster A, Graham JM, (2019). The CHD8 overgrowth syndrome: A detailed evaluation of an emerging overgrowth phenotype in 27 patients. Am. J. Med. Genet. C Semin. Med. Genet. 181, 557– 564. 10.1002/ajmg.c.31749. 31721432 · DOI
- [33]Beighley JS, Hudac CM, Arnett AB, Peterson JL, Gerdts J, Wallace AS, Mefford HC, Hoekzema K, Turner TN, O’Roak BJ, (2020). Clinical Phenotypes of Carriers of Mutations in CHD8 or Its Conserved Target Genes. Biol. Psychiatry 87, 123– 131. 10.1016/j.biopsych.2019.07.020. 31526516 PMC6925323 · DOI
- [37]Ramaswami G, and Geschwind DH (2018). Genetics of autism spectrum disorder. Handb. Clin. Neurol. 147, 321– 329. 10.1016/B978-0-444-63233-3.00021-X. 29325621 · DOI
- [38]Weiner DJ, Wigdor EM, Ripke S, Walters RK, Kosmicki JA, Grove J, Samocha KE, Goldstein JI, Okbay A, Bybjerg-Grauholm J, (2017). Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders. Nat. Genet. 49, 978– 985. 10.1038/ng.3863. 28504703 PMC5552240 · DOI · Paper page
- [39]Hanson E, Bernier R, Porche K, Jackson FI, Goin-Kochel RP, Snyder LG, Snow AV, Wallace AS, Campe KL, Zhang Y, (2015). The cognitive and behavioral phenotype of the 16p11.2 deletion in a clinically ascertained population. Biol. Psychiatry 77, 785– 793. 10.1016/j.biopsych.2014.04.021. 25064419 PMC5410712 · DOI · Paper page
- [40]Paulsen B, Velasco S, Kedaigle AJ, Pigoni M, Quadrato G, Deo AJ, Adiconis X, Uzquiano A, Sartore R, Yang SM, (2022). Autism genes converge on asynchronous development of shared neuron classes. Nature 602, 268– 273. 10.1038/s41586-021-04358-6. 35110736 PMC8852827 · DOI · Paper page
- [42]Collaborative Cross Consortium (2012). The Genome Architecture of the Collaborative Cross Mouse Genetic Reference Population. Genetics 190, 389– 401. 10.1534/genetics.111.132639. 22345608 PMC3276630 · DOI · Paper page
- [43]Threadgill DW, and Churchill GA (2012). Ten years of the collaborative cross. G3 Bethesda Md 2, 153– 156. 10.1534/g3.111.001891. 22384393 PMC3284322 · DOI
- [44]Welsh CE, Miller DR, Manly KF, Wang J, McMillan L, Morahan G, Mott R, Iraqi FA, Threadgill DW, and de Villena FP-M (2012). Status and access to the Collaborative Cross population. Mamm. Genome Off. J. Int. Mamm. Genome Soc. 23, 706– 712. 10.1007/s00335-012-9410-6. PMC3463789 22847377 · DOI
- [45]Roberts A, Pardo-Manuel de Villena F, Wang W, McMillan L, and Threadgill DW (2007). The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics. Mamm. Genome Off. J. Int. Mamm. Genome Soc. 18, 473– 481. 10.1007/s00335-007-9045-1. PMC1998888 17674098 · DOI
- [46]Keane TM, Goodstadt L, Danecek P, White MA, Wong K, Yalcin B, Heger A, Agam A, Slater G, Goodson M, (2011). Mouse genomic variation and its effect on phenotypes and gene regulation. Nature 477, 289– 294. 10.1038/nature10413. 21921910 PMC3276836 · DOI · Paper page
- [47]Srivastava A, Morgan AP, Najarian ML, Sarsani VK, Sigmon JS, Shorter JR, Kashfeen A, McMullan RC, Williams LH, Giusti-Rodríguez P, (2017). Genomes of the Mouse Collaborative Cross. Genetics 206, 537– 556. 10.1534/genetics.116.198838. 28592495 PMC5499171 · DOI
- [48]Dickson PE, McNaughton KA, Hou L, Anderson LC, Long KH, and Chesler EJ (2015). Sex and strain influence attribution of incentive salience to reward cues in mice. Behav. Brain Res. 292, 305– 315. 10.1016/j.bbr.2015.05.039. 26102561 PMC4558302 · DOI
- [49]Logan RW, Robledo RF, Recla JM, Philip VM, Bubier JA, Jay JJ, Harwood C, Wilcox T, Gatti DM, Bult CJ, (2013). High-precision genetic mapping of behavioral traits in the diversity outbred mouse population. Genes Brain Behav. 12, 424– 437. 10.1111/gbb.12029. 23433259 PMC3709837 · DOI
- [50]Mao J-H, Langley SA, Huang Y, Hang M, Bouchard KE, Celniker SE, Brown JB, Jansson JK, Karpen GH, and Snijders AM (2015). Identification of genetic factors that modify motor performance and body weight using Collaborative Cross mice. Sci. Rep. 5, 16247. 10.1038/srep16247. 26548763 PMC4637864 · DOI
- [53]Katayama Y, Nishiyama M, Shoji H, Ohkawa Y, Kawamura A, Sato T, Suyama M, Takumi T, Miyakawa T, and Nakayama KI (2016). CHD8 haploinsufficiency results in autistic-like phenotypes in mice. Nature 537, 675– 679. 10.1038/nature19357. 27602517 · DOI · Paper page
- [54]Suetterlin P, Hurley S, Mohan C, Riegman KLH, Pagani M, Caruso A, Ellegood J, Galbusera A, Crespo-Enriquez I, Michetti C, (2018). Altered Neocortical Gene Expression, Brain Overgrowth and Functional Over-Connectivity in Chd8 Haploinsufficient Mice. Cereb. Cortex N. Y. N 1991 28, 2192– 2206. 10.1093/cercor/bhy058. PMC6018918 29668850 · DOI
- [55]Reilly KM (2016). Using the Collaborative Cross to Study the Role of Genetic Diversity in Cancer-Related Phenotypes. Cold Spring Harb. Protoc. 2016, pdb. prot079178. 10.1101/pdb.prot079178. PMC6713446 26933242 · DOI
- [56]Williams RW, and Williams EG (2017). Resources for Systems Genetics. Methods Mol. Biol. Clifton NJ 1488, 3– 29. 10.1007/978-1-4939-6427-7_1. 27933518 · DOI
- [57]Starr-Phillips EJ, and Beery AK (2014). Natural variation in maternal care shapes adult social behavior in rats. Dev. Psychobiol. 56, 1017– 1026. 10.1002/dev.21182. 24271510 · DOI
- [58]Laviola G, and Terranova ML (1998). The developmental psychobiology of behavioural plasticity in mice: the role of social experiences in the family unit. Neurosci. Biobehav. Rev. 23, 197– 213. 10.1016/s0149-7634(98)00021-9. 9884113 · DOI · Paper page
- [59]Champagne FA, and Curley JP (2005). How social experiences influence the brain. Curr. Opin. Neurobiol. 15, 704– 709. 10.1016/j.conb.2005.10.001. 16260130 · DOI
- [60]State MW, and Levitt P (2011). The conundrums of understanding genetic risks for autism spectrum disorders. Nat. Neurosci. 14, 1499– 1506. 10.1038/nn.2924. 22037497 PMC3940335 · DOI · Paper page
- [61]Willsey HR, Willsey AJ, Wang B, and State MW (2022). Genomics, convergent neuroscience and progress in understanding autism spectrum disorder. Nat. Rev. Neurosci. 23, 323– 341. 10.1038/s41583-022-00576-7. 35440779 PMC10693992 · DOI
- [62]Sestan N, and State MW (2018). Lost in Translation: Traversing the Complex Path from Genomics to Therapeutics in Autism Spectrum Disorder. Neuron 100, 406– 423. 10.1016/j.neuron.2018.10.015. 30359605 PMC6989093 · DOI · Paper page
- [63]de la Torre-Ubieta L, Won H, Stein JL, and Geschwind DH (2016). Advancing the understanding of autism disease mechanisms through genetics. Nat. Med. 22, 345– 361. 10.1038/nm.4071. 27050589 PMC5072455 · DOI · Paper page
- [64]Roy S, Sleiman MB, Jha P, Ingels JF, Chapman CJ, McCarty MS, Ziebarth JD, Hook M, Sun A, Zhao W, (2021). Gene-by-environment modulation of lifespan and weight gain in the murine BXD family. Nat. Metab. 3, 1217– 1227. 10.1038/s42255-021-00449-w. 34552269 PMC8478125 · DOI
- [65]Delprato A, Algéo M-P, Bonheur B, Bubier JA, Lu L, Williams RW, Chesler EJ, and Crusio WE (2017). QTL and systems genetics analysis of mouse grooming and behavioral responses to novelty in an open field. Genes Brain Behav. 16, 790– 799. 10.1111/gbb.12392. 28544613 PMC5800503 · DOI
- [66]Dickson PE, Miller MM, Calton MA, Bubier JA, Cook MN, Goldowitz D, Chesler EJ, and Mittleman G (2016). Systems genetics of intravenous cocaine self-administration in the BXD recombinant inbred mouse panel. Psychopharmacology (Berl.) 233, 701– 714. 10.1007/s00213-015-4147-z. 26581503 PMC4803082 · DOI · Paper page
- [67]Laughlin RE, Grant TL, Williams RW, and Jentsch JD (2011). Genetic dissection of behavioral flexibility: reversal learning in mice. Biol. Psychiatry 69, 1109– 1116. 10.1016/j.biopsych.2011.01.014. 21392734 PMC3090526 · DOI
- [68]Molenhuis RT, Bruining H, Brandt MJV, van Soldt PE, Abu-Toamih Atamni HJ, Burbach JPH, Iraqi FA, Mott RF, and Kas MJH (2018). Modeling the quantitative nature of neurodevelopmental disorders using Collaborative Cross mice. Mol. Autism 9, 63. 10.1186/s13229-018-0252-2. 30559955 PMC6293525 · DOI
- [69]Gu B, Shorter JR, Williams LH, Bell TA, Hock P, Dalton KA, Pan Y, Miller DR, Shaw GD, Philpot BD, (2020). Collaborative Cross mice reveal extreme epilepsy phenotypes and genetic loci for seizure susceptibility. Epilepsia 61, 2010– 2021. 10.1111/epi.16617. 32852103 PMC8011945 · DOI
- [71]Stessman HAF, Xiong B, Coe BP, Wang T, Hoekzema K, Fenckova M, Kvarnung M, Gerdts J, Trinh S, Cosemans N, (2017). Targeted sequencing identifies 91 neurodevelopmental-disorder risk genes with autism and developmental-disability biases. Nat. Genet. 49, 515– 526. 10.1038/ng.3792. 28191889 PMC5374041 · DOI · Paper page
- [72]Sung MK, Bang H, and Choi JK (2014). Understanding Epistatic Interactions between Genes Targeted by Non-coding Regulatory Elements in Complex Diseases. Genomics Inform. 12, 181– 186. 10.5808/GI.2014.12.4.181. 25705156 PMC4330252 · DOI
- [73]Jones SA, Cantsilieris S, Fan H, Cheng Q, Russ BE, Tucker EJ, Harris J, Rudloff I, Nold M, Northcott M, (2019). Rare variants in non-coding regulatory regions of the genome that affect gene expression in systemic lupus erythematosus. Sci. Rep. 9, 15433. 10.1038/s41598-019-51864-9. 31659207 PMC6817816 · DOI
- [74]Wilkinson B, Grepo N, Thompson BL, Kim J, Wang K, Evgrafov OV, Lu W, Knowles JA, and Campbell DB (2015). The autism-associated gene chromodomain helicase DNA-binding protein 8 (CHD8) regulates noncoding RNAs and autism-related genes. Transl. Psychiatry 5, e568. 10.1038/tp.2015.62. 25989142 PMC4471293 · DOI
Cited by
Sorted by citations
Qing, Z., Yin, Z., Chen, B., Rao, Z., Yin, D., Li, D., Lu, Y., Shi, M., Li, S., Xu, Y., et al. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1964684
- Authors
- Tabbaa, M., Knoll, A., & Levitt, P.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Levitt, Pat
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 111
- Issue
- 4
- Pages
- 539-556.e5
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC9960295
- OpenAlex
- W4319079975
- Cited by
- 45
- References
- 14
- Citations by year
- 2026: 6 · 2025: 15 · 2024: 10 · 2023: 13 · 2022: 1
- FWCI
- 7.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuron (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, other-oa)
- Funders
- Saban Research Institute
- NSF
- University of Southern California
- Children's Hospital Los Angeles
- NIH
- National Institute of Mental Health (R21MH118685)
- National Science Foundation (DBI 2011039)
- 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
- CHD8, haploinsufficiency, autism risk genes, neurodevelopmental disorders, phenocopy, behavioral phenotypes, anxiety, social behavior, sex differences, resilience, inbred mouse strains
- MeSH terms
- Animals, Behavior, Animal, Brain, DNA-Binding Proteins, Female, Genetics, Population, Humans, Male, Mice, Inbred C57BL, Mice, Inbred Strains, Phenotype, Transcription Factors, Mice, Haploinsufficiency
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