Identification of potentially pathogenic variants for autism spectrum disorders using gene-burden analysis

• Published in: PloS one Vol. 18; no. 5; p. e0273957
• Main Authors: Rihar, Nika, Krgovic, Danijela, Kokalj-Vokač, Nadja, Stangler-Herodez, Spela, Zorc, Minja, Dovc, Peter
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 11.05.2023; Public Library of Science (PLoS)
• Subjects: Analysis; Autism; Autism Spectrum Disorder - diagnosis; Autism Spectrum Disorder - genetics; Binding; Biology and Life Sciences; Computer and Information Sciences; Diagnosis; Disease; Disorders; Engineering and Technology; Genes; Genetic aspects; Genetic Predisposition to Disease; Genetics; Genomes; Genotype & phenotype; Health risks; Humans; Intellectual disabilities; Laboratories; Ligands; Medical research; Medicine and Health Sciences; Mutation; People and Places; Pervasive developmental disorders; Principal components analysis; Protein Phosphatase 2 - genetics; Protein structure; Proteins; Proteins - genetics; Research and Analysis Methods; Social Sciences; Software; Slovenia; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0273957

Gene- burden analyses have lately become a very successful way for the identification of genes carrying risk variants underlying the analysed disease. This approach is also suitable for complex disorders like autism spectrum disorder (ASD). The gene-burden analysis using Testing Rare Variants with Public Data (TRAPD) software was conducted on whole exome sequencing data of Slovenian patients with ASD to determine potentially novel disease risk variants in known ASD-associated genes as well as in others. To choose the right control group for testing, principal component analysis based on the 1000 Genomes and ASD cohort samples was conducted. The subsequent protein structure and ligand binding analysis usingI-TASSER package were performed to detect changes in protein structure and ligand binding to determine a potential pathogenic consequence of observed mutation. The obtained results demonstrate an association of two variants-p.Glu198Lys (PPP2R5D:c.592G>A) and p.Arg253Gln (PPP2R5D:c.758G>A) with the ASD. Substitution p.Glu198Lys (PPP2R5D:c.592G>A) is a variant, previously described as pathogenic in association with ASD combined with intellectual disability, whereas p.Arg253Gln (PPP2R5D:c.758G>A) has not been described as an ASD-associated pathogenic variant yet. The results indicate that the filtering process was suitable and could be used in the future for detection of novel pathogenic variants when analysing groups of ASD patients.