Intellectual disability genomics: current state, pitfalls and future challenges.
Nuno MaiaMaria João Nabais SáManuel Melo-PiresArjan P M de BrouwerPaula JorgePublished in: BMC genomics (2021)
Intellectual disability (ID) can be caused by non-genetic and genetic factors, the latter being responsible for more than 1700 ID-related disorders. The broad ID phenotypic and genetic heterogeneity, as well as the difficulty in the establishment of the inheritance pattern, often result in a delay in the diagnosis. It has become apparent that massive parallel sequencing can overcome these difficulties. In this review we address: (i) ID genetic aetiology, (ii) clinical/medical settings testing, (iii) massive parallel sequencing, (iv) variant filtering and prioritization, (v) variant classification guidelines and functional studies, and (vi) ID diagnostic yield. Furthermore, the need for a constant update of the methodologies and functional tests, is essential. Thus, international collaborations, to gather expertise, data and resources through multidisciplinary contributions, are fundamental to keep track of the fast progress in ID gene discovery.
Keyphrases
- intellectual disability
- genome wide
- autism spectrum disorder
- single cell
- copy number
- mitochondrial dna
- small molecule
- machine learning
- dna methylation
- deep learning
- magnetic resonance
- big data
- computed tomography
- current status
- magnetic resonance imaging
- artificial intelligence
- transcription factor
- quality improvement
- data analysis