The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Genome-wide characteristics of de novo mutations in autism
Open accessAbstract
De novo mutations (DNMs) are important in autism spectrum disorder (ASD), but so far analyses have mainly been on the ~1.5% of the genome encoding genes. Here, we performed whole-genome sequencing (WGS) of 200 ASD parent–child trios and characterised germline and somatic DNMs. We confirmed that the majority of germline DNMs (75.6%) originated from the father, and these increased significantly with paternal age only (P=4.2×10−10). However, when clustered DNMs (those within 20 kb) were found in ASD, not only did they mostly originate from the mother (P=7.7×10−13), but they could also be found adjacent to de novo copy number variations where the mutation rate was significantly elevated (P=2.4×10−24). By comparing with DNMs detected in controls, we found a significant enrichment of predicted damaging DNMs in ASD cases (P=8.0×10−9; odds ratio=1.84), of which 15.6% (P=4.3×10−3) and 22.5% (P=7.0×10−5) were non-coding or genic non-coding, respectively. The non-coding elements most enriched for DNM were untranslated regions of genes, regulatory sequences involved in exon-skipping and DNase I hypersensitive regions. Using microarrays and a novel outlier detection test, we also found aberrant methylation profiles in 2/185 (1.1%) of ASD cases. These same individuals carried independently identified DNMs in the ASD-risk and epigenetic genes DNMT3A and ADNP. Our data begins to characterize different genome-wide DNMs, and highlight the contribution of non-coding variants, to the aetiology of ASD.
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
“individuals with ASD have a two- to three-fold increase in the number of rare copy number variations (CNVs) and de novo loss-of-function (nonsense, frameshift, and splice site) variants compared to their unaffected siblings11–14.”
From Genome-wide detection of tandem DNA repeats that are expanded in autism (2020) · cites this paper as [14]
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
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368
Self-citationA general framework for estimating the relative pathogenicity of human genetic variants
Kircher, M., Witten, D. M., Jain, P., O'Roak, B. J., Cooper, G. M., & Shendure, J. (2014) · Nature Genetics · doi:10.1038/ng.2892 · Cited by 6,183
Okano, M., Bell, D. W., Haber, D. A., & Li, E. (1999) · Cell · doi:10.1016/s0092-8674(00)81656-6 · Cited by 6,143
DNA methylation arrays as surrogate measures of cell mixture distribution
Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-86 · Cited by 3,175
MutationTaster evaluates disease-causing potential of sequence alterations
Schwarz, J. M., Rödelsperger, C., Schuelke, M., & Seelow, D. (2010) · Nature Methods · doi:10.1038/nmeth0810-575 · Cited by 2,975
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Alipanahi, B., Delong, A., Weirauch, M. T., & Frey, B. J. (2015) · Nature Biotechnology · doi:10.1038/nbt.3300 · Cited by 2,873
Self-citationStrong 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
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 215
Qaiser, F., Sadoway, T. R., Yin, Y., Ali, Q. Z., Nguyen, C. M., Shum, N., Backstrom, I., Marques, P., Tabarestani, S., Munhoz, R. P., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab207 · Cited by 19
Self-citationDe novo mutations in children born after medical assisted reproduction
Smits, R., Xavier, M. J., Oud, M. S., Astuti, G., Meijerink, A. M., de Vries, P. F., Holt, G. S., Alobaidi, B., Batty, L. E., Khazeeva, G., et al. (2022) · Human Reproduction · doi:10.1093/humrep/deac068 · Cited by 22
Copy number variation in fetal alcohol spectrum disorder
Zarrei, M., Hicks, G. G., Reynolds, J. N., Thiruvahindrapuram, B., Engchuan, W., Pind, M., Lamoureux, S., Wei, J., Wang, Z., Marshall, C. R., et al. (2018) · Biochemistry and Cell Biology · doi:10.1139/bcb-2017-0241 · Cited by 22
Self-citationAllele-specific transcription factor binding as a benchmark for assessing variant impact predictorsPreprint
Wagih, O., Merico, D., Delong, A., & Frey, B. J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/253427 · Cited by 19
Self-citationThe Genetics of Autism Spectrum Disorders
Yuen, R. K. C., Szatmari, P., & Vorstman, J. A. S. (2019) · Autism and Pervasive Developmental Disorders · doi:10.1017/9781108297769.006 · Cited by 19
Self-citationThree generation families: Analysis of de novo variants in autism
Costa, C. I. S., Campos, G. D. S., Montenegro, E. M. D. S., Wang, J. Y. T., Scliar, M. O., Monfardini, F., Zachi, E. C., Lourenço, N. C. V., Chan, A. J. S., Pereira, S. L., et al. (2023) · European Journal of Human Genetics · doi:10.1038/s41431-023-01398-6 · Cited by 19
Self-citationConcise Review: Induced Pluripotent Stem Cell Models for Neuropsychiatric Diseases
Adegbola, A. A., Bury, L. A. D., Fu, C. S., Zhang, M., & Wynshaw-Boris, A. J. (2017) · Stem Cells Translational Medicine · doi:10.1002/sctm.17-0150 · Cited by 21
Decoding the genetic landscape of autism: A comprehensive review
Al‐Beltagi, M., Saeed, N. K., Bediwy, A. S., Bediwy, E. A., & Elbeltagi, R. M. (2024) · World Journal of Clinical Pediatrics · doi:10.5409/wjcp.v13.i3.98468 · Cited by 23
Revisiting mutagenesis at non-B DNA motifs in the human genome
McGinty, R. J., & Sunyaev, S. R. (2023) · Nature Structural & Molecular Biology · doi:10.1038/s41594-023-00936-6 · Cited by 19
Homozygous deletions implicate non-coding epigenetic marks in Autism spectrum disorder
Schmitz‐Abe, K., Sánchez‐Schmitz, G., Doan, R. N., Hill, R. S., Chahrour, M. H., Mehta, B. K., Servattalab, S. E., Ataman, B., Lam, A.-T. N., Morrow, E. M., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-70656-0 · Cited by 18
Sharawat, I. K., Panda, P. K., & Dawman, L. (2020) · Neuropediatrics · doi:10.1055/s-0040-1715629 · Cited by 17
Cummings, C. T., & Rowley, M. J. (2022) · Genes · doi:10.3390/genes13040583 · Cited by 15
Melliou, S., Sangster, K. T., Kao, J., Zarrei, M., Lam, K. H. B., Howe, J., Papaioannou, M.-D., Tsang, Q., Borhani, O. A., Sajid, R. S., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110846 · Cited by 18
Self-citationThe Importance of Large-Scale Genomic Studies to Unravel Genetic Risk Factors for Autism
Nóbrega, I. D. S., Silva, A. L. T. E., Yokota-Moreno, B. Y., & Sertie, A. L. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115816 · Cited by 18
Lin, C., Chang, K., Lin, C.-Y., Wu, J.-Y., Coon, H. H., Huang, P., Ho, H., Akbarian, S., Gau, S. S., & Huang, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-22753-4 · Cited by 16
Discovery of genomic variation across a generation
Trost, B., Loureiro, L. O., & Scherer, S. W. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab209 · Cited by 20
Self-citationJegathisawaran, J., Tsiplova, K., Hayeems, R. Z., Marshall, C. R., Stavropoulos, D. J., Pereira, S. L., Thiruvahindrapuram, B., Liston, E., Reuter, M. S., Manshaei, R., et al. (2022) · Genetics in Medicine · doi:10.1016/j.gim.2022.01.020 · Cited by 16
Self-citationUddin, K. M. F., Amin, M. R., Majumder, S. N., Aleem, M. A., Rahaman, A., Dity, N. J., Baqui, M. A., Akter, H., Rahman, M. M., Woodbury‐Smith, M., et al. (2018) · Clinical Case Reports · doi:10.1002/ccr3.1595 · Cited by 16
Self-citationAutism spectrum disorder genomics: The progress and potential of genomic technologies
Ghrálaigh, F. N., Gallagher, L., & Lopez, L. M. (2020) · Genomics · doi:10.1016/j.ygeno.2020.09.022 · Cited by 14
A random forest-based framework for genotyping and accuracy assessment of copy number variations
Zhuang, X., Ye, R., So, M., Lam, W.-Y., Karim, A., Yu, M., Ngo, N. D., Cherny, S. S., Tam, P. K. H., García-Barceló, M.-M., et al. (2020) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqaa071 · Cited by 15
Mariano, V., Kanellopoulos, A. K., Ricci, C., Di Marino, D., Borrie, S. C., Dupraz, S., Bradke, F., Achsel, T., Legius, E., Odent, S., et al. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.08.027 · Cited by 14
Yusuf, A., Peltekova, I. T., Savion‐Lemieux, T., Frei, J., Joober, R., Howe, J., Scherer, S. W., & Elsabbagh, M. (2020) · Journal of Genetic Counseling · doi:10.1002/jgc4.1323 · Cited by 14
Self-citationWang, L., Zhang, Y., Li, K., Wang, Z., Wang, X., Li, B., Zhao, G., Fang, Z., Ling, Z., Luo, T., et al. (2020) · Molecular Autism · doi:10.1186/s13229-020-00382-x · Cited by 12
Self-citationHECW2 ‐related disorder in four Japanese patients
Yanagishita, T., Hiraide, T., Yamamoto, K. S., Funatsuka, M., Miyamoto, Y., Maeda, M., Yanagi, K., Kaname, T., Nagata, S., Nagata, M., et al. (2021) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.62363 · Cited by 13
Autism Spectrum Disorder (ASD) : Definition, Contexts, Neural Correlates and Clinical Strategies
Perrotta, G. (2019) · Neurology & Neurotherapy Open Access Journal · doi:10.23880/nnoaj-16000136 · Cited by 11
Martinez, M. E., Stohn, J. P., Mutina, E. M., Whitten, R. J., & Hernández, A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1055116 · Cited by 12
Ross, P. J., Mok, R. S. F., Smith, B. S., Rodrigues, D. C., Mufteev, M., Scherer, S. W., & Ellis, J. (2020) · Molecular Autism · doi:10.1186/s13229-020-00333-6 · Cited by 12
Self-citationDeng, L., Lou, H., Zhang, X., Thiruvahindrapuram, B., Lu, D., Marshall, C. R., Liu, C., Xie, B., Xu, W., Wong, L. P., et al. (2019) · BMC Genomics · doi:10.1186/s12864-019-6226-8 · Cited by 12
Self-citationAdvanced Paternal Age Affects Sperm Count and Anogenital Distance in Mouse Offspring
Caballero-Campo, P., Lin, W., Simbulan, R. K., Liu, X., Feuer, S. K., Donjacour, A. A., & Rinaudo, P. F. (2018) · Reproductive Sciences · doi:10.1177/1933719118759441 · Cited by 11
Self-citationBehavioral screening tools for identifying autism in macaques: existing and promising tests
Qin, D., Wu, S., Chen, Y., & Hu, X. (2018) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2018.12.018 · Cited by 12
Association between distress and knowledge among parents of autistic children
Yusuf, A., Peltekova, I. T., Savion‐Lemieux, T., Frei, J., Bruno, R., Joober, R., Howe, J., Scherer, S. W., & Elsabbagh, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223119 · Cited by 12
Self-citationYusuf, A., Peltekova, I. T., Savion‐Lemieux, T., Frei, J., Bruno, R., Joober, R., Howe, J., Scherer, S. W., & Elsabbagh, M. (2020) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2020.103605 · Cited by 12
Self-citationRare and low frequency genomic variants impacting neuronal functions modify the Dup7q11.23 phenotype
Qaiser, F., Yin, Y., Mervis, C. Β., Morris, C. A., Klein-Tasman, B., Tam, E., Osborne, L. R., & Yuen, R. K. C. (2021) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-020-01648-6 · Cited by 12
Self-citationTranslating genetic and preclinical findings into autism therapies
Chahrour, M. H., Kleiman, R. J., & Manzini, M. C. (2017) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2017.19.4/cmanzini · Cited by 11
Krüppel-like factor 7 deficiency causes autistic-like behavior in mice via regulating Clock gene
Tian, H., Jiao, Y., Guo, M., Wang, Y., Wang, R. L., Wang, C., Chen, D., & Tian, W. (2022) · Cell & Bioscience · doi:10.1186/s13578-022-00903-6 · Cited by 10
Yang, P., Menga, Y., Li, T., & Huang, Y. (2017) · Autism Research · doi:10.1002/aur.1822 · Cited by 10
Fischer, N. C., Friedman, V., Martinez-Reyes, M. A., Hao, H., Chowdhury, T. A., Starr, D. A., & Quinn, C. C. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1010521 · Cited by 10
Contribution of copy number variations to the risk of severe eating disorders
Kushima, I., Imaeda, M., Tanaka, S., Kato, H., Oya‐Ito, T., Nakatochi, M., Aleksić, B., & Ozaki, N. (2022) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13430 · Cited by 9
Identifying Rare Genetic Variants of Immune Mediators as Risk Factors for Autism Spectrum Disorder
Cai, C., Yin, Z., Liu, A., Wang, H., Zeng, S., Wang, Z., Qiu, H., Li, S., Zhou, J., & Wang, M. (2022) · Genes · doi:10.3390/genes13061098 · Cited by 9
Self-citationAdvancing precision diagnosis in autism: Insights from large-scale genomic studies
Kim, S.-W., & An, J. (2025) · Molecules and Cells · doi:10.1016/j.mocell.2025.100248 · Cited by 10
Phasing of de novo mutations using a scaled‐up multiple amplicon long‐read sequencing approach
Holt, G. S., Batty, L. E., Alobaidi, B., Smith, H., Oud, M. S., Ramos, L., Xavier, M. J., & Veltman, J. A. (2022) · Human Mutation · doi:10.1002/humu.24450 · Cited by 7
De novo network analysis reveals autism causal genes and developmental links to co-occurring traits
Miller, C. J., Golovina, E., Wicker, J. S., Jacobsen, J. C., & O'Sullivan, J. M. (2023) · Life Science Alliance · doi:10.26508/lsa.202302142 · Cited by 9
Goldmann, J. M., Seplyarskiy, V. B., Wong, W. S. W., Vilboux, T., Neerincx, P. B. T., Bodian, D. L., Solomon, B. D., Veltman, J. A., Deeken, J. F., Gilissen, C., et al. (2018) · Obstetrical & Gynecological Survey · doi:10.1097/ogx.0000000000000604 · Cited by 8
Rare Does Not Mean Worthless: How Rare Diseases Have Shaped Neurodevelopment Research in the NGS Era
Zaghi, M., Banfi, F., Bellini, E. N., & Sessa, A. (2021) · Biomolecules · doi:10.3390/biom11111713 · Cited by 8
Joo, J., Lim, K., Yang, S., Kim, S.-H., Cocco, L., & Suh, P. (2021) · Advances in Biological Regulation · doi:10.1016/j.jbior.2021.100833 · Cited by 7
Xie, Y., Wang, H., Hu, B., Zhang, X., Liu, A., Cai, C., Li, S., Chen, C., Wang, Z., Yin, Z., et al. (2022) · Children · doi:10.3390/children10010080 · Cited by 7
Self-citationChen, Y., & Chen, A. (2019) · Biomedical Reports · doi:10.3892/br.2019.1233 · Cited by 7
Ben‐Mahmoud, A., Jun, K. R., Gupta, V. R., Shastri, P., de la Fuente, A., Park, Y., Shin, K. C., Kim, C. A., da Cruz, A. D., Pinto, I. P., et al. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.979061 · Cited by 7
The architecture of brain co-expression reveals the brain-wide basis of disease susceptibilityPreprint
Hartl, C., Ramaswami, G., Pembroke, W. G., Muller, S., Pintacuda, G., Saha, A., Parsana, P., Battle, A. J., Lage, K., & Geschwind, D. H. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.05.965749 · Cited by 7
The role of rare compound heterozygous events in autism spectrum disorder
Lin, B. D., Colas, F., Nijman, I. J., Medic, J., Brands, W. J., Parr, J. R., van Eijk, K. R., Klauck, S. M., Chiocchetti, A. G., Freitag, C. M., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00866-7 · Cited by 6
The landscape of somatic mutations in lymphoblastoid cell lines
Caballero, M., & Koren, A. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100305 · Cited by 6
Rizzo, A., Alfei, E., Zibordi, F., Saletti, V., Zorzi, G. S., Freri, E., Estienne, M., Girgenti, V., D’Arrigo, S., Esposito, S., et al. (2018) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32649 · Cited by 6
Uddin, M. J., Woodbury‐Smith, M., Chan, A. J. S., Albanna, A., Minassian, B. A., Boelman, C. G., & Scherer, S. W. (2018) · G3 Genes Genomes Genetics · doi:10.1534/g3.118.200080 · Cited by 6
Self-citationYoon, J. G., Jang, H., Lee, S., Jang, S. S., Park, S., Cho, J., Kim, M., Han, J., Yun, H., Kim, M. J., et al. (2025) · Genome Medicine · doi:10.1186/s13073-025-01513-w · Cited by 5
Kim, I. B., Kim, M.-H., Jung, S., Kim, W. K., Lee, J., Ju, Y. S., Webster, M. J., Kim, J. H., Kim, J., Kim, H. J., et al. (2024) · Experimental & Molecular Medicine · doi:10.1038/s12276-024-01284-1 · Cited by 5
Modular Splicing Is Linked to Evolution in the Synapse-Specificity Molecule Kirrel3
Tränkner, D., Shennib, O., Johnson, A., Weinbrom, A., Taylor, M. R., & Williams, M. E. (2023) · eNeuro · doi:10.1523/eneuro.0253-23.2023 · Cited by 5
The Genetic and Epigenetic Basis Involved in the Pathophysiology of ASD: Therapeutic Implications
Carrascosa-Romero, M. C., & de Cabo, C. (2017) · InTech eBooks · doi:10.5772/66854 · Cited by 5
Ding, Q., Somerville, C., Manshaei, R., Trost, B., Reuter, M. S., Kalbfleisch, K. J., Stanley, K. J., Okello, J. B. A., Hosseini, S. M., Liston, E., et al. (2022) · Human Genetics · doi:10.1007/s00439-022-02494-1 · Cited by 5
Self-citationGenetics of Epileptic Encephalopathies
Palmer, E. E., Sachdev, R., Kandula, T., Macintosh, R., Kirk, E. P., & Bye, A. (2017) · Encyclopedia of Life Sciences · doi:10.1002/9780470015902.a0026922 · Cited by 5
Rizzardi, L. F., Hickey, P. F., DiBlasi, V. R., Tryggvadóttir, R., Callahan, C. M., Idrizi, A., Hansen, K. D., & Feinberg, A. P. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/120386 · Cited by 5
Mutational bias in spermatogonia impacts the anatomy of regulatory sites in the human genomePreprint
Kaiser, V. B., Talmane, L., Kumar, Y., Semple, F., MacLennan, M., Study, D. D. D., FitzPatrick, D. R., Taylor, M. S., & Semple, C. A. M. (2021) · Genome Research · doi:10.1101/gr.275407.121 · Cited by 6
A signal transduction blind spot: the function of adenylyl cyclase transmembrane domains
Dowsell, R. S., & Gold, M. G. (2025) · FEBS Journal · doi:10.1111/febs.70022 · Cited by 5
Woodbury‐Smith, M., D’Abate, L., Stavropoulos, D. J., Howe, J., Drmic, I., Hoang, N., Zarrei, M., Trost, B., Iaboni, A., Anagnostou, E. A., et al. (2023) · Journal of Medical Genetics · doi:10.1136/jmg-2022-108818 · Cited by 5
Self-citationNg, J. K., Chen, Y., Akinwe, T. M., Heins, H. B., Mehinovic, E., Chang, Y., Payne, Z. L., Manuel, J. G., Karchin, R., & Turner, T. N. (2024) · medRxiv · doi:10.1101/2024.02.02.24302238 · Cited by 4
Horizon: CNV interpretation through rapid automated ACMG-aligned pathogenicity analysis
Eldesouky, M., Shiyas, S., Islam, M. A., Hasan, M. N., Hossaın, M. T., Akter, H., Saiful, M., Berdiev, B. K., Kuebler, W. M., Rahman, P., et al. (2026) · Human Genetics · doi:10.1007/s00439-026-02821-w · Cited by 3
Self-citationEmerging role of epigenetics in human neurodevelopmental disorders
Mastrototaro, G., Sessa, A., & Zaghi, M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-18661-5.00022-1 · Cited by 3
Turkalj, L., Mehta, M., Matteson, P. G., Prem, S., Williams, M., Connacher, R., DiCicco-Bloom, E. M., & Millonig, J. H. (2020) · Advances in neurobiology · doi:10.1007/978-3-030-45493-7_4 · Cited by 3
Noncoding de novo mutations contribute to autism spectrum disorder via chromatin interactionsPreprint
Kim, I. B., Lee, T., Lee, J., Kim, J., Lee, H., Kim, W. K., Ju, Y. S., Cho, Y., Yu, S. J., Kim, S. A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.15.877324 · Cited by 3
When Genetic and Environmental Factors Meet in Modelling Autism
Pettie, M. A. (2020) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.17148212.v1 · Cited by 4
Risk for Autism Across Generations
Reichenberg, A., Schendel, D., Gissler, M., Bresnahan, M. A., Francis, R. W., Levine, S. Z., Sourander, A., Parner, E. T., Windham, G. C., Yip, B. H. K., et al. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.04.023 · Cited by 3
Abu-Elmagd, M. M., Assidi, M., Dallol, A., Buhmeida, A. S., Pushparaj, P. N., Gauthaman, K., ALhamzi, E. A., Shay, J. W., Scherer, S. W., Agarwal, A. K., et al. (2016) · BMC Genomics · doi:10.1186/s12864-016-3085-4 · Cited by 2
Self-citationPrioritizing de novo autism risk variants with calibrated gene- and variant-scoring models
Jiang, Y., Urresti, J., Pagel, K. A., Pramod, A. B., Iakoucheva, L. M., & Predrag Radivojac, A. (2021) · Human Genetics · doi:10.1007/s00439-021-02356-2 · Cited by 2
Neurodevelopmental disease genes implicated by de novo mutation and CNV morbidityPreprint
Coe, B. P., Stessman, H. A. F., Sulovari, A., Geisheker, M. R., Hormozdiari, F., & Eichler, E. E. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/209908 · Cited by 2
Molecular diagnosis of autism spectrum disorder through whole exome sequencing
de Almeida, T. F. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.41.2019.tde-04022019-092804 · Cited by 2
Mutagenesis at non-B DNA motifs in the human genome: a course correctionPreprint
McGinty, R. J., & Sunyaev, S. R. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.08.479604 · Cited by 2
Miller, C. J., Golovina, E., Wicker, J. S., Jacobsen, J. C., & O'Sullivan, J. M. (2023) · medRxiv · doi:10.1101/2023.04.24.23289060 · Cited by 2
Persistent cortical excitatory neuron dysregulation in adult Chd8 haploinsufficient micePreprint
Canales, C. P., Lozano, S. A., Frost, N. A., Cichewicz, K., Amaral, W. Z., Seban, N., Fenton, E., Wade, A. A., Chu, N., Smith, E. M., et al. (2025) · Research Square · doi:10.1101/2025.06.04.657776 · Cited by 3
Human in vitro disease models to aid pathway and target discovery for neurological disorders
Muralidharan, B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821972-0.00013-7 · Cited by 1
Narayan, P. R., Sabir, S., Jayvas, D., Doan, R. N., Li, Q., Anderson, K., Chen, S., Felker, M. V., Frigeni, M., Giummo, C. A., et al. (2026) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.70264 · Cited by 1
Salma, M. U., & Rajashekar, P. K. M. (2020) · International Conference on Communication, Computing and Industry 4.0 (C2I4) · doi:10.1109/c2i451079.2020.9368948 · Cited by 1
Molecular testing in autism spectrum disorder
Fernandez, B. A., Marshall, C. R., Vorstman, J. A. S., & Scherer, S. W. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-822824-1.00016-x · Cited by 2
Self-citationNoncoding de novo mutations in SCN2A are associated with autism spectrum disorders
Zhang, Y., Ahsan, M. U., & Wang, K. (2025) · iScience · doi:10.1016/j.isci.2025.113258 · Cited by 2
De Novo Mutations in Human Inherited Disease
Oliveira, S. B., Cooper, D. N., & Azevedo, L. (2018) · Wiley eBooks · doi:10.1002/9780470015902.a0027866 · Cited by 2
Deciphering the Impact of Genetic Variation on Human PolyadenylationPreprint
Linder, J., Kundaje, A. B., & Seelig, G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.09.491198 · Cited by 1
Mohiuddin, M., Marušić, Z., Aničić, M., Dijck, A. V., Cappuyns, E., Rizzuti, L., Vitriolo, A., Hacohen-Kleiman, G., Grigg, I., Testa, G., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.21.496616 · Cited by 1
Poot, M. (2017) · Molecular Syndromology · doi:10.1159/000471776
Carneiro, T. N. R. (2017) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.41.2017.tde-28032017-153312
Kothiyal, P., Wong, W. S. W., Bodian, D. L., & Niederhuber, J. E. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/240424
Poot, M. (2019) · Molecular Syndromology · doi:10.1159/000501382
Role of Copy-Number Variations in Non-Coding Regions of Autism Spectrum Disorders
Wang, J. (2017) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Self-citationAdvances in the understanding of cellular pathogenesis associated with Autism Spectrum Disorder
Savory, K., & Syed, Y. A. (2019) · Journal for ReAttach Therapy and Developmental Diversities · doi:10.26407/2019jrtdd.1.21
Genome-wide Investigation of Rare Genetic Variation in Epilepsy and Autism Spectrum Disorder
Qaiser, F. (2020) · TSpace (University of Toronto)
Investigation of Genetic and Clinical Heterogeneity in Subtypes of Autism Spectrum Disorder
Chan, A. J. S. (2020) · TSpace (University of Toronto)
Self-citationPrincipal Molecular Pathways Affected in Autism Spectrum Disorder
Younes, S. N., Al‐Jurf, R., Hammuda, S., Nasrallah, G. K., Zayed, H., Qoronfleh, M. W., Ismail, M. A., Farrell, T., Al-Rifai, H., Samara, M. M., et al. (2022) · Nutritional neurosciences · doi:10.1007/978-981-15-9781-7_1
Mummery, C. L. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734367877.793553383
Wahłsten, D. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812832-9.00016-6
Vakalopoulos, C. (2017) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/sjazq
Shavitt, R. G. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.736749666.793580423
Vakalopoulos, C. (2017) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/dkp67
Multifactorial heterogeneity of the human mutation landscape related to DNA replication dynamicsPreprint
Caballero, M., Boos, D., & Koren, A. (2022) · bioRxiv · doi:10.1101/2022.09.28.509938
Metadata
- Authors
- Yuen, R. K., Merico, D., Cao, H., Pellecchia, G., Alipanahi, B., Thiruvahindrapuram, B., Tong, X., Sun, Y., Cao, D., Zhang, T., Wu, X., Jin, X., Zhou, Z., Liu, X., Nalpathamkalam, T., Walker, S., Howe, J. L., Wang, Z., MacDonald, J. R., Chan, A. J., D’Abate, L., Deneault, E., Siu, M. T., Tammimies, K., Uddin, M., Zarrei, M., Wang, M., Li, Y., Wang, J., Wang, J., Yang, H., Bookman, M., Bingham, J., Gross, S. S., Loy, D., Pletcher, M., Marshall, C. R., Anagnostou, E., Zwaigenbaum, L., Weksberg, R., Fernandez, B. A., Roberts, W., Szatmari, P., Glazer, D., Frey, B. J., Ring, R. H., Xu, X., & Scherer, S. W.
- Affiliations
- Hospital for Sick Children (CA)
- BGI Group (China) (CN)
- University of Toronto (CA)
- Karolinska Institutet (SE)
- Google (United States) (US)
- Autism Speaks (US)
- University of Alberta (CA)
- Memorial University of Newfoundland (CA)
- Corresponding author
- Scherer, Stephen W
- ORCID
- Yuen, Ryan KC
- Merico, Daniele
- Cao, Hongzhi
- Pellecchia, Giovanna
- Alipanahi, Babak
- Thiruvahindrapuram, Bhooma
- Tong, Xin
- Sun, Yuhui
- Cao, Dandan
- Zhang, Tao
- Jin, Xin
- Liu, Xiaomin
- Nalpathamkalam, Thomas
- Walker, Susan
- Wang, Zhuozhi
- MacDonald, Jeffrey R
- D’Abate, Lia
- Tammimies, Kristiina
- Uddin, Mohammed
- Wang, Mingbang
- Li, Yingrui
- Wang, Jun
- Wang, Jian
- Yang, Huanming
- Marshall, Christian R
- Anagnostou, Evdokia
- Zwaigenbaum, Lonnie
- Weksberg, Rosanna
- Fernandez, Bridget A
- Glazer, David
- Ring, Robert H
- Xu, Xun
- Scherer, Stephen W
- Venue
- npj Genomic Medicine
- Published
- 2016-08-03
- Volume
- 1
- Issue
- 1
- Pages
- 160271-1602710
- ISSN
- 2056-7944 (ISSN-L)
- PMC
- PMC4980121
- OpenAlex
- W2484001856
- Cited by
- 216
- References
- 70
- Citations by year
- 2026: 9 · 2025: 6 · 2024: 7 · 2023: 13 · 2022: 28 · 2021: 23 · 2020: 30 · 2019: 33 · 2018: 32 · 2017: 33 · 2016: 2
- FWCI
- 21.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Genomic Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Autism Speaks
- GlaxoSmithKline
- Genome Canada
- Ontario Brain Institute
- National Alliance for Research on Schizophrenia and Depression
- Stollery Children’s Hospital Foundation
- Children's Hospital Foundation
- Ontario Genomics
- Government of Ontario
- Ontario Genomics Institute
- Sick Kids Foundation
- University of Toronto
- Vetenskapsrådet
- Hospital for Sick Children
- U.S. Public Health Service (140849-1)
- Canadian Institutes of Health Research (140849_1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- de novo mutations, autism spectrum disorder, germline mutations, somatic mutations, paternal age, clustered mutations, copy number variation, non-coding variants, untranslated regions, exon skipping, DNA methylation, DNMT3A, ADNP, mutation rate
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