Cargando…
Predicting the Risk Genes of Autism Spectrum Disorders
Autism spectrum disorder (ASD) refers to a wide spectrum of neurodevelopmental disorders that emerge during infancy and continue throughout a lifespan. Although substantial efforts have been made to develop therapeutic approaches, core symptoms persist lifelong in ASD patients. Identifying the brain...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236850/ https://www.ncbi.nlm.nih.gov/pubmed/34194469 http://dx.doi.org/10.3389/fgene.2021.665469 |
_version_ | 1783714629992579072 |
---|---|
author | Lin, Yenching Yerukala Sathipati, Srinivasulu Ho, Shinn-Ying |
author_facet | Lin, Yenching Yerukala Sathipati, Srinivasulu Ho, Shinn-Ying |
author_sort | Lin, Yenching |
collection | PubMed |
description | Autism spectrum disorder (ASD) refers to a wide spectrum of neurodevelopmental disorders that emerge during infancy and continue throughout a lifespan. Although substantial efforts have been made to develop therapeutic approaches, core symptoms persist lifelong in ASD patients. Identifying the brain temporospatial regions where the risk genes are expressed in ASD patients may help to improve the therapeutic strategies. Accordingly, this work aims to predict the risk genes of ASD and identify the temporospatial regions of the brain structures at different developmental time points for exploring the specificity of ASD gene expression in the brain that would help in possible ASD detection in the future. A dataset consisting of 13 developmental stages ranging from 8 weeks post-conception to 8 years from 26 brain structures was retrieved from the BrainSpan atlas. This work proposes a support vector machine–based risk gene prediction method ASD-Risk to distinguish the risk genes of ASD and non-ASD genes. ASD-Risk used an optimal feature selection algorithm called inheritable bi-objective combinatorial genetic algorithm to identify the brain temporospatial regions for prediction of the risk genes of ASD. ASD-Risk achieved a 10-fold cross-validation accuracy, sensitivity, specificity, area under a receiver operating characteristic curve, and a test accuracy of 81.83%, 0.84, 0.79, 0.84, and 72.27%, respectively. We prioritized the temporospatial features according to their contribution to the prediction accuracy. The top identified temporospatial regions of the brain for risk gene prediction included the posteroventral parietal cortex at 13 post-conception weeks feature. The identified temporospatial features would help to explore the risk genes that are specifically expressed in different brain regions of ASD patients. |
format | Online Article Text |
id | pubmed-8236850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82368502021-06-29 Predicting the Risk Genes of Autism Spectrum Disorders Lin, Yenching Yerukala Sathipati, Srinivasulu Ho, Shinn-Ying Front Genet Genetics Autism spectrum disorder (ASD) refers to a wide spectrum of neurodevelopmental disorders that emerge during infancy and continue throughout a lifespan. Although substantial efforts have been made to develop therapeutic approaches, core symptoms persist lifelong in ASD patients. Identifying the brain temporospatial regions where the risk genes are expressed in ASD patients may help to improve the therapeutic strategies. Accordingly, this work aims to predict the risk genes of ASD and identify the temporospatial regions of the brain structures at different developmental time points for exploring the specificity of ASD gene expression in the brain that would help in possible ASD detection in the future. A dataset consisting of 13 developmental stages ranging from 8 weeks post-conception to 8 years from 26 brain structures was retrieved from the BrainSpan atlas. This work proposes a support vector machine–based risk gene prediction method ASD-Risk to distinguish the risk genes of ASD and non-ASD genes. ASD-Risk used an optimal feature selection algorithm called inheritable bi-objective combinatorial genetic algorithm to identify the brain temporospatial regions for prediction of the risk genes of ASD. ASD-Risk achieved a 10-fold cross-validation accuracy, sensitivity, specificity, area under a receiver operating characteristic curve, and a test accuracy of 81.83%, 0.84, 0.79, 0.84, and 72.27%, respectively. We prioritized the temporospatial features according to their contribution to the prediction accuracy. The top identified temporospatial regions of the brain for risk gene prediction included the posteroventral parietal cortex at 13 post-conception weeks feature. The identified temporospatial features would help to explore the risk genes that are specifically expressed in different brain regions of ASD patients. Frontiers Media S.A. 2021-06-14 /pmc/articles/PMC8236850/ /pubmed/34194469 http://dx.doi.org/10.3389/fgene.2021.665469 Text en Copyright © 2021 Lin, Yerukala Sathipati and Ho. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lin, Yenching Yerukala Sathipati, Srinivasulu Ho, Shinn-Ying Predicting the Risk Genes of Autism Spectrum Disorders |
title | Predicting the Risk Genes of Autism Spectrum Disorders |
title_full | Predicting the Risk Genes of Autism Spectrum Disorders |
title_fullStr | Predicting the Risk Genes of Autism Spectrum Disorders |
title_full_unstemmed | Predicting the Risk Genes of Autism Spectrum Disorders |
title_short | Predicting the Risk Genes of Autism Spectrum Disorders |
title_sort | predicting the risk genes of autism spectrum disorders |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236850/ https://www.ncbi.nlm.nih.gov/pubmed/34194469 http://dx.doi.org/10.3389/fgene.2021.665469 |
work_keys_str_mv | AT linyenching predictingtheriskgenesofautismspectrumdisorders AT yerukalasathipatisrinivasulu predictingtheriskgenesofautismspectrumdisorders AT hoshinnying predictingtheriskgenesofautismspectrumdisorders |