Progress in Genetics of Autism

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".

Deadline for manuscript submissions: closed (25 July 2022) | Viewed by 5899

Special Issue Editors


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Guest Editor
Center of Medical Genetics, School of Life Sciences, Central South University, Changsha 410083, China
Interests: genetic architecture of neuropsychiatric disorders

E-Mail Website
Guest Editor
Center of Medical Genetics, School of Life Sciences, Central South University, Changsha 410083, China
Interests: genetics and neurobiology of autism spectrum disorders

E-Mail Website
Guest Editor
Center of Medical Genetics, School of Life Sciences, Central South University, Changsha 410083, China
Interests: genetics and bioinformatics of neuropsychiatric disorders
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Special Issue Information

Dear Colleagues,

Detailed phenotyping coupled with the sequencing of patient cohorts with autism spectrum disorder (ASD) have dramatically accelerated the deciphering of genetic architecture and discovery of risk genes. To date, over 200 high-confident genes have been identified. Despite these advances, we are now facing new challenges. Only a small fraction of the genetic risk has been defined, the penetrance of most mutated genes is unknown, and genotype–phenotype correlations in most cases are unclear. With an increasing sample size and application of whole-genome sequencing approaches, we now have the opportunity to identify ASD-associated rare coding and non-coding variants with high and moderate effect sizes and to decipher individual-level genetic architecture. Those new advances would provide further understanding of the genetic architecture of ASD and accelerate the progress of precision genetic diagnosis and management in clinical practices. This issue will focus on new progress in the following directions: (i) identification of ASD-associated rare non-coding variants; (ii) identification of new genes/variants with a moderate effect size; (iii) better understanding of the prevalence, inheritance, and genotype–phenotype correlations of known and new ASD high-risk genes, (iv) investigation of the genetic architecture (e.g., combination pattern of rare risk variants) at the individual level, and (v) comparison of the mutation pattern and genetic architecture of ASD between different populations.

Prof. Dr. Kun Xia
Prof. Dr. Hui Guo
Prof. Dr. Jinchen Li
Guest Editors

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Keywords

  • autism
  • ASD
  • genetics
  • genome
  • non-coding variants
  • moderate effect size

Published Papers (2 papers)

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Research

9 pages, 438 KiB  
Article
Exome Evaluation of Autism-Associated Genes in Amazon American Populations
by Giovana E. da Costa, Giordane L. Fernandes, Juliana C. G. Rodrigues, Diana F. da V. B. Leal, Lucas F. Pastana, Esdras E. B. Pereira, Paulo P. Assumpção, Rommel M. R. Burbano, Sidney E. B. dos Santos, João F. Guerreiro, Marianne R. Fernandes and Ney P. C. dos Santos
Genes 2022, 13(2), 368; https://doi.org/10.3390/genes13020368 - 18 Feb 2022
Cited by 3 | Viewed by 2056
Abstract
Autism spectrum disorder is a neurodevelopmental disorder, affecting one in 160 children worldwide. The causes of autism are still poorly understood, but research shows the relevance of genetic factors in its pathophysiology, including the CHD8, SCN2A, FOXP1 and SYNGAP1 genes. Information [...] Read more.
Autism spectrum disorder is a neurodevelopmental disorder, affecting one in 160 children worldwide. The causes of autism are still poorly understood, but research shows the relevance of genetic factors in its pathophysiology, including the CHD8, SCN2A, FOXP1 and SYNGAP1 genes. Information about the genetic influence on various diseases, including autism, in the Amerindian population from Amazon, is still scarce. We investigated 35 variants of the CHD8, SCN2A, FOXP1, and SYNGAP1 gene in Amazonian Amerindians in comparison with publicly available population frequencies from the 1000 Genomes Project database. Our study identified 16 variants in the Amerindian population of the Amazon with frequencies significantly different from the other populations. Among them, the SCN2A (rs17183814, rs75109281, and rs150453735), FOXP1 (rs56850311 and rs939845), and SYNGAP1 (rs9394145 and rs115441992) variants presented higher frequency than all other populations analyzed. In addition, nine variants were found with lower frequency among the Amerindians: CHD8 (rs35057134 and rs10467770), SCN2A (rs3769951, rs2304014, rs1838846, and rs7593568), FOXP1 (rs112773801 and rs56850311), and SYNGAP1 (rs453590). These data show the unique genetic profile of the indigenous population of the Brazilian Amazon. Knowledge of these variants can help to understand the pathophysiology and diagnosis of autism among Amerindians, Brazilians, and in admixed populations that have contributions from this ethnic group. Full article
(This article belongs to the Special Issue Progress in Genetics of Autism)
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10 pages, 254 KiB  
Article
Mutational Landscape of Autism Spectrum Disorder Brain Tissue
by Marc Woodbury-Smith, Sylvia Lamoureux, Ghausia Begum, Nasna Nassir, Hosneara Akter, Darren D. O’Rielly, Proton Rahman, Richard F. Wintle, Stephen W. Scherer and Mohammed Uddin
Genes 2022, 13(2), 207; https://doi.org/10.3390/genes13020207 - 24 Jan 2022
Cited by 6 | Viewed by 3200
Abstract
Rare post-zygotic mutations in the brain are now known to contribute to several neurodevelopmental disorders, including autism spectrum disorder (ASD). However, due to the limited availability of brain tissue, most studies rely on estimates of mosaicism from peripheral samples. In this study, we [...] Read more.
Rare post-zygotic mutations in the brain are now known to contribute to several neurodevelopmental disorders, including autism spectrum disorder (ASD). However, due to the limited availability of brain tissue, most studies rely on estimates of mosaicism from peripheral samples. In this study, we undertook whole exome sequencing on brain tissue from 26 ASD brain donors from the Harvard Brain Tissue Resource Center (HBTRC) and ascertained the presence of post-zygotic and germline mutations categorized as pathological, including those impacting known ASD-implicated genes. Although quantification did not reveal enrichment for post-zygotic mutations compared with the controls (n = 15), a small number of pathogenic, potentially ASD-implicated mutations were identified, notably in TRAK1 and CLSTN3. Furthermore, germline mutations were identified in the same tissue samples in several key ASD genes, including PTEN, SC1A, CDH13, and CACNA1C. The establishment of tissue resources that are available to the scientific community will facilitate the discovery of new mutations for ASD and other neurodevelopmental disorders. Full article
(This article belongs to the Special Issue Progress in Genetics of Autism)
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