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AutismKB: an evidence-based knowledgebase of autism genetics
Open accessAbstract
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 0.9-2.6%. Twin studies showed a heritability of 38-90%, indicating strong genetic contributions. Yet it is unclear how many genes have been associated with ASD and how strong the evidence is. A comprehensive review and analysis of literature and data may bring a clearer big picture of autism genetics. We show that as many as 2193 genes, 2806 SNPs/VNTRs, 4544 copy number variations (CNVs) and 158 linkage regions have been associated with ASD by GWAS, genome-wide CNV studies, linkage analyses, low-scale genetic association studies, expression profiling and other low-scale experimental studies. To evaluate the evidence, we collected metadata about each study including clinical and demographic features, experimental design and statistical significance, and used a scoring and ranking approach to select a core data set of 434 high-confidence genes. The genes mapped to pathways including neuroactive ligand-receptor interaction, synapse transmission and axon guidance. To better understand the genes we parsed over 30 databases to retrieve extensive data about expression patterns, protein interactions, animal models and pharmacogenetics. We constructed a MySQL-based online database and share it with the broader autism research community at http://autismkb.cbi.pku.edu.cn, supporting sophisticated browsing and searching functionalities.
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“Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8]. Such efforts are incomplete, non-systematic and static.”
From SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs) (2013) · cites this paper as [8]
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SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs)
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“Letter to the Editor Previous work has crafted curated lists of genes implicated in autism spectrum disorders (ASDs) [1-5], and in some cases developed loosely defined “evidence scores” for entries [6-8].”
Sugathan, A., Biagioli, M., Golzio, C., Erdin, S., Blumenthal, I., Manavalan, P., Ragavendran, A., Brand, H., Lucente, D., Miles, J., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1405266111 · Cited by 342
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Metadata
- Authors
- Xu, L.-M., Li, J.-R., Huang, Y., Zhao, M., Tang, X., & Wei, L.
- Affiliations
- Peking University (CN)
- Corresponding author
- Wei, Liping
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-12-01
- Volume
- 40
- Issue
- D1
- Pages
- D1016-D1022
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC3245106
- OpenAlex
- W2039778388
- Cited by
- 179
- References
- 65
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 5 · 2023: 6 · 2022: 9 · 2021: 6 · 2020: 14 · 2019: 8 · 2018: 19 · 2017: 14 · 2016: 16 · 2015: 14 · 2014: 21 · 2013: 22 · 2012: 12
- FWCI
- 8.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Natural Science Foundation of China (31025014, 2011CBA01102)
- 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 › Genetic Associations and Epidemiology
- Keywords
- autism spectrum disorder, autism genetics, gene ranking, copy number variation, single nucleotide polymorphisms, linkage region, neurodevelopmental disorders, axon guidance, neuroactive ligand-receptor interaction, gene expression profiling, protein-protein interaction, animal models, pharmacogenetics
- MeSH terms
- Autistic Disorder, Humans, Genetic Linkage, User-Computer Interface, Genetic Variation, Databases, Genetic, Knowledge Bases, Molecular Sequence Annotation
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