The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Networks of Neuronal Genes Affected by Common and Rare Variants in Autism Spectrum Disorders
Open accessAbstract
Autism spectrum disorders (ASD) are neurodevelopmental disorders with phenotypic and genetic heterogeneity. Recent studies have reported rare and de novo mutations in ASD, but the allelic architecture of ASD remains unclear. To assess the role of common and rare variations in ASD, we constructed a gene co-expression network based on a widespread survey of gene expression in the human brain. We identified modules associated with specific cell types and processes. By integrating known rare mutations and the results of an ASD genome-wide association study (GWAS), we identified two neuronal modules that are perturbed by both rare and common variations. These modules contain highly connected genes that are involved in synaptic and neuronal plasticity and that are expressed in areas associated with learning and memory and sensory perception. The enrichment of common risk variants was replicated in two additional samples which include both simplex and multiplex families. An analysis of the combined contribution of common variants in the neuronal modules revealed a polygenic component to the risk of ASD. The results of this study point toward contribution of minor and major perturbations in the two sub-networks of neuronal genes to ASD risk.
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In the citing paper
“The first study to do this identified co-expression modules that had cell type-specific and region-specific expression patterns using nearly 1,000 adult brain regions12,109, and identified neuronal gene-enriched modules containing ASD candidate genes and ASD GWAS signals.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [109]
In the citing paper
“Moreover, this study found that genes in these modules have dynamic developmental trajectories, demonstrating a role for ASD risk genes in neural development.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [109]
In the citing paper
“As shown by multiple studies, gene network analyses can aid in understanding genetic association studies.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [109]
In the citing paper
“Grouping genetic findings using disease- and tissue-relevant modules can increase the power to detect genetic associations with disease by combining signals that reflect similar underlying biology while simultaneously informing biological mechanism by functionally annotating genetic findings30,109,122,183.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [109]
In the citing paper
“Many studies of complex neuropsychiatric disorders have also concluded that disease-causing variants are often clustered in protein-interaction networks with a high degree of connectivity among themselves and that these clustered networks are often enriched with functional pathways relevant to brain functions [72–80].”
From An integrated analysis of genes and functional pathways for aggression in human and rodent models (2019) · cites this paper as [76]
In the citing paper
“The analysis of genes affected by rare CNVs has confirmed the crucial role of abnormalities in synapse formation and maintenance, but also identified other affected pathways, including cellular proliferation and motility, GTPase/Ras signaling, and neurogenesis”
From Autism risk factors: genes, environment, and gene-environment interactions (2012) · cites this paper as [35]
In the citing paper
“a recent analysis of genetic variations associated with ASD suggests that common and rare variants contribute to ASD by perturbation of common neuronal networks”
From Autism risk factors: genes, environment, and gene-environment interactions (2012) · cites this paper as [35]
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Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
A General Framework for Weighted Gene Co-Expression Network Analysis
Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
PENFIELD, W., & BOLDREY, E. (1937) · Brain · doi:10.1093/brain/60.4.389 · Cited by 4,188
Cahoy, J. D., Emery, B., Kaushal, A., Foo, L. C., Zamanian, J. L., Christopherson, K. S., Xing, Y., Lubischer, J. L., Krieg, P. A., Krupenko, S. A., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4178-07.2008 · Cited by 3,129
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
Flagged first, then by citations
Research works printed but not linked: 1
- 2007, Nature, Nature, 447, 661
Cited by
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Oh, S., Ji, H., Barzman, D. H., Lin, P., & Hutton, J. J. (2015) · Clinical and Translational Medicine · doi:10.1186/s40169-015-0078-x · Cited by 10
Barber, K. R., Hruska, M., Bush, K. M., Martinez, J. A., Fei, H., Levitan, I. B., Dalva, M. B., & Wairkar, Y. P. (2018) · Scientific Reports · doi:10.1038/s41598-018-34250-9 · Cited by 9
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Guan, J., Lin, Y., & Ji, G. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.00059 · Cited by 9
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Lee, J., Ha, S., Lee, S., Park, S., Shin, S., Choi, J. R., & Cheon, K.-A. A. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00585 · Cited by 9
Choi, Y. B., Mentch, J., Haskins, A. J., Wicklin, C. V., & Robertson, C. E. (2023) · Autism Research · doi:10.1002/aur.2901 · Cited by 8
Mahmuda, N. A., Yokoyama, S., Munesue, T., Hayashi, K., Yagi, K., Tsuji, C., & Higashida, H. (2020) · Diseases · doi:10.3390/diseases8010004 · Cited by 8
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Neurobiology meets genomic science: The promise of human-induced pluripotent stem cells
Stevens, H. E., Mariani, J., Coppola, G., & Vaccarino, F. M. (2012) · Development and Psychopathology · doi:10.1017/s095457941200082x · Cited by 7
Marrus, N. M., Turner, T. N., Forsen, E., Bolster, D., Marvin, A. R., Whitehouse, A., Klinger, L. G., Gurnett, C. A., & Constantino, J. N. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-021-09389-8 · Cited by 5
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Association of the FGA and SLC6A4 Genes with Autistic Spectrum Disorder in a Korean Population
Ro, M., Won, S., Kang, H., Kim, S., Lee, S. K., Nam, M., Bang, H. J., Yang, J. W., Choi, K.-S., Kim, S. K., et al. (2013) · Neuropsychobiology · doi:10.1159/000355299 · Cited by 5
Common and rare genetic variants show network convergence for a majority of human traitsPreprint
Wright, S. N., Yang, J., & Ideker, T. E. (2025) · medRxiv · doi:10.1101/2025.06.27.25330419 · Cited by 4
Qi, J., Ma, L., Wang, X., Li, Y., & Wang, K. (2017) · Cancer Biomarkers · doi:10.3233/cbm-170144 · Cited by 3
The influence of calcium signaling on the development of autism spectrum disorders
Solovieva, N. V., Витальевна, Ч. С., Kichuk, I. V., & Макарова, Е. В. (2020) · Zhurnal «Patologicheskaia fiziologiia i eksperimental`naia terapiia» · doi:10.25557/0031-2991.2020.04.106-117 · Cited by 2
Bucknor, M. C., Keating, B. A., Han, V. X., Gloss, B., Dey, P., Aryamanesh, N., Marshall, L. L., Graham, M. E., Dissanayake, R., Lau, X., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.19.644073 · Cited by 3
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Ward, C. S. (2013) · Medical Hypotheses · doi:10.1016/j.mehy.2013.10.029 · Cited by 2
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Diaz‐Stransky, A., & Tierney, E. (2013) · Springer eBooks · doi:10.1007/978-1-4614-4788-7_147 · Cited by 2
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Levy, Y. (2019) · Behavioral and Brain Sciences · doi:10.1017/s0140525x18002261 · Cited by 2
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Kononenko, N. L., & Haucke, V. (2020) · e-Neuroforum · doi:10.1515/nf-2020-0023 · Cited by 2
Kanai, C., Toth, G., Itahashi, T., Hashimoto, R., & Kato, N. (2016) · Autism and child psychopathology series · doi:10.1007/978-3-319-27171-2_20 · Cited by 2
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Chaste, P., & Devlin, B. (2015) · Key issues in mental health (Online)/Key issues in mental health (Print) · doi:10.1159/000363590 · Cited by 1
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Parikshak, N., & Geschwind, D. H. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-800105-9.00011-1 · Cited by 1
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Chaste, P., Delorme, R., & Leboyer, M. (2014) · Encyclopédie médico-chirurgicale. Psychiatrie · doi:10.1016/s1633-776x(20)30407-5 · Cited by 1
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Tuñon-Ortiz, A., Tränkner, D., Peterson, C. M., Shennib, O., Ye, F., Shi, J., Brockway, S. N., Raines, O., Mahnke, A., Grega, M., et al. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1760-24.2025 · Cited by 1
Human brain cell type-specific gene co-expression associated with autism spectrum disorder
Lin, Y., Li, S., Ji, G., & Guan, J. (2019) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm47256.2019.8983237 · Cited by 1
Autism, Development and Neural Plasticity
Robinson‐Agramonte, M. D. L. Á., Fraguela, M. E. G., & Bergado, J. A. (2015) · Springer eBooks · doi:10.1007/978-3-319-16321-5_7 · Cited by 1
Martin, J. (2014) · ORCA Online Research @Cardiff (Cardiff University)
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Gallagher, L., Shen, S., & Anney, R. (2015) · Key issues in mental health (Online)/Key issues in mental health (Print) · doi:10.1159/000363593
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Buxbaum, J. D. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-391924-3.00034-x
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nouri, S. (2013) · Digital Commons-TMC (Texas Medical Center)
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Raygada, M. J., Grant, P., & Rennert, O. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813176-3.00014-6
Gastaldi, V. D. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2019.tde-08112019-113046
Nassir, N., Bankapur, A., Samara, B., Ali, A. Y., Ahmed, A., Inuwa, I. M., Zarrei, M., Shabestari, S. A. S., Albanna, A., Howe, J., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-763046/v1
Demerdzieva, A., & Pop-Jordanova, N. D. (2022) · PRILOZI · doi:10.2478/prilozi-2022-0035
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Mojarad, B. A., Qaiser, F., & Yuen, R. K. C. (2023) · Springer eBooks · doi:10.1007/978-3-031-20792-1_18 · Cited by 2
(2016) · Wiley eBooks · doi:10.1002/9781394259472.refs
Amjad, E., & Sokouti, B. (2025) · Springer eBooks · doi:10.1007/978-3-031-40858-8_389-1
Bucknor, M. C., Keating, B. A., Han, V. X., Gloss, B., Dey, P., Aryamanesh, N., Marshall, L. L., Graham, M. E., Dissanayake, R., Lau, X., et al. (2026) · Inflammation Research · doi:10.1007/s00011-025-02152-y · Cited by 3
Kanai, C., Toth, G., & Doi, H. (2026) · Autism and child psychopathology series · doi:10.1007/978-3-032-11802-8_9
Luo, L., Gao, X., Pang, T., Pang, K., Wang, T., Guo, H., Yang, L., & Chang, S. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-08364-y
Khan, M., RUTTER, M., Thapar, A., & Yuen, R. K. C. (2026) · Wiley eBooks · doi:10.1002/9781394389933.ch16
Metadata
- Authors
- Ben-David, E., & Shifman, S.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Corresponding author
- Shifman, Sagiv
- ORCID
- Shifman, Sagiv
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-03-08
- Volume
- 8
- Issue
- 3
- Pages
- e1002556
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC3297570
- OpenAlex
- W2129185980
- Cited by
- 145
- References
- 75
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 5 · 2020: 10 · 2019: 13 · 2018: 8 · 2017: 11 · 2016: 14 · 2015: 18 · 2014: 25 · 2013: 14 · 2012: 8
- FWCI
- 10.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Autism Speaks
- Legacy Heritage Fund
- Simons Foundation Autism Research Initiative
- Israel Science Foundation
- University of California, Los Angeles
- National Institute of Mental Health (U24MH081810)
- 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 › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- autism spectrum disorder, gene co-expression network, neuronal genes, rare variants, common genetic variants, de novo mutations, synaptic plasticity, neuroplasticity, polygenic risk, brain gene expression
- MeSH terms
- Brain, Brain Mapping, Child, Child Development Disorders, Pervasive, Gene Expression Regulation, Humans, Learning, Memory, Mutation, Nerve Net, Neurons, Polymorphism, Genetic, Genetic Predisposition to Disease, Chromosome Pairing, Gene Regulatory Networks
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