Volume 11 Number 2 (Apr. 2021)
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IJBBB 2021 Vol.11(2): 22-33 ISSN: 2010-3638
DOI: 10.17706/IJBBB.2021.11.2.22-33

Computational Identification of Novel Missense Variants in Coding Regions of Genes Associated with Intellectual Disability

Anna Chang Liu, Junmeng Yang, Tina Yuan, Yongsheng Bai
Abstract—Single nucleotide variants (SNVs) are mutations in the DNA sequence of a gene that are responsible for a variety of genetic disorders. Exonic variants located in the coding region of a gene can be especially harmful to an organism when they alter the biological functions of proteins. In this study, we performed multiple functional annotations and sequence alignments to assess the impact of SNVs in coding regions of genes associated with intellectual disability (ID). Through bioinformatics analysis, we identified three significant motifs in the coding region of ACTB, PTPN11, and GNAO1 prioritized by our pipeline. Detailed examination of these three genes revealed that eight variant coordinates were located in the three motifs, two of which from ACTB are reported to be pathogenic by MISCAST and three from GNAO1 are reported likely pathogenic according to clinical significance from National Center for Biotechnology Information (NCBI). In particular, we discovered two novel SNVs located at chr16:56370698 and chr16:56370711 in GNAO1 that are highly likely to be pathogenic and possibly associated with ID. Overall, our results revealed the pathogenic roles of SNVs within coding regions of ID candidate genes. Future work is to automate this process through developing a bioinformatics software that can identify novel SNVs in coding regions responsible for various human diseases.

Index Terms—Coding region, intellectual disability, protein function, single nucleotide variants.

Anna Chang Liu is with Appleby College, 540 Lakeshore Rd West, Oakville, Ontario, L6K 3P1, Canada; Junmeng Yang is with Shanghai Starriver Bilingual School, Minhang, 201100, Shanghai, China; Tina Yuan is with The Roeper School, 1051 Oakland Avenue, Birmingham, Michigan, 48009, USA; Yongsheng Bai is with Next-Gen Intelligent Science Training, Ann Arbor, Michigan, 48105, USA.

Cite:Anna Chang Liu, Junmeng Yang, Tina Yuan, Yongsheng Bai, "Computational Identification of Novel Missense Variants in Coding Regions of Genes Associated with Intellectual Disability," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 11, no. 2, pp. 22-33, 2021.


Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

ISSN: 2010-3638 (Online)
Abbreviated Title: Int. J. Biosci. Biochem. Bioinform.
Frequency: Quarterly 
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing:  Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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