2023
DOI: 10.3390/brainsci13020231
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The Genetics of Intellectual Disability

Abstract: Intellectual disability (ID) has a prevalence of ~2–3% in the general population, having a large societal impact. The underlying cause of ID is largely of genetic origin; however, identifying this genetic cause has in the past often led to long diagnostic Odysseys. Over the past decades, improvements in genetic diagnostic technologies and strategies have led to these causes being more and more detectable: from cytogenetic analysis in 1959, we moved in the first decade of the 21st century from genomic microarra… Show more

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Cited by 26 publications
(10 citation statements)
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“…To accurately delineate the severity of ID in most patients, it is essential to assess both adaptive functioning and IQ [ 56 ]. Approximately 2–3% of the worldwide population is affected by ID (IQ < 70) [ 57 ]. Due to ID’s genetically heterogeneous nature, a genetic basis can be quite challenging to reach.…”
Section: Resultsmentioning
confidence: 99%
“…To accurately delineate the severity of ID in most patients, it is essential to assess both adaptive functioning and IQ [ 56 ]. Approximately 2–3% of the worldwide population is affected by ID (IQ < 70) [ 57 ]. Due to ID’s genetically heterogeneous nature, a genetic basis can be quite challenging to reach.…”
Section: Resultsmentioning
confidence: 99%
“…ID is a genetically heterogeneous disease with up to 700 genes linked to it or associated disorders by 2015 [4], and around 1,300 genes listed in the approved gene panel for ID (v5.0 from 22 March 2023) available at Genomics England’s PanelApp [5]. However, the prevailing view is that more ID-causal genes are yet to be discovered, and the effects of all possible mutations within ID-causing genes have not yet been assessed [4, 6, 7]. Searching and describing novel rare mutations inside known ID genes and identifying new candidate genes may improve the molecular diagnosis of ID and lead to a better understanding of the underlying molecular disease mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…(9) Burden analysis studies in large cohorts of NDD patients are a powerful approach to identify novel candidate genes. (9,10) These studies generate impressive lists of genes that are statistically proven or at least likely to play a role in NDD. However, it remains di cult to report variants in any of these candidate genes as a diagnostic result as the gene is not (yet) associated with any speci c phenotype.…”
Section: Introductionmentioning
confidence: 99%