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Cited by 279

The DOI matches its Crossref record; 233 of the 233 references it cites were found in a registry or an index.

The genetic basis of non-syndromic intellectual disability: a review

Open access
Kaufman, Liana, Ayub, Muhammad, Vincent, John B.·2010·Journal of Neurodevelopmental Disorders

Abstract

Intellectual disability (ID), also referred to as mental retardation (MR), is frequently the result of genetic mutation. Where ID is present together with additional clinical symptoms or physical anomalies, there is often sufficient information available for the diagnosing physician to identify a known syndrome, which may then educe the identification of the causative defect. However, where co-morbid features are absent, narrowing down a specific gene can only be done by 'brute force' using the latest molecular genetic techniques. Here we attempt to provide a systematic review of genetic causes of cases of ID where no other symptoms or co-morbid features are present, or non-syndromic ID. We attempt to summarize commonalities between the genes and the molecular pathways of their encoded proteins. Since ID is a common feature of autism, and conversely autistic features are frequently present in individuals with ID, we also look at possible overlaps in genetic etiology with non-syndromic ID.

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Metadata

Authors
Kaufman, L., Ayub, M., & Vincent, J. B.
Venue
Journal of Neurodevelopmental Disorders
Published
2010-07-29
Volume
2
Issue
4
Pages
182-209
ISSN
  • 1866-1947 (ISSN-L)
  • 1866-1955
OpenAlex
W1976574203
Cited by
279
References
233
FWCI
6.87
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The genetic basis of non-syndromic intellectual disability: a review. https://app.cochat.ai/papers/10.1007/s11689-010-9055-2
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Kaufman, L., Ayub, M., & Vincent, J. B. (2010). The genetic basis of non-syndromic intellectual disability: a review. Journal of Neurodevelopmental Disorders. https://doi.org/10.1007/s11689-010-9055-2

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.