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 using I-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.
| Language: | English |
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| Keywords: | medicine, genetics, genetic tests, autism, autism spectrum disorder, protein structure, protein structure prediction, Slovenian people, computer software, polymerase chain reaction, pathogenesis, mutation |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | BF - Biotechnical Faculty
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year: | 2023 |
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| Number of pages: | 17 str. |
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| Numbering: | Vol. 18, iss. 5, art. e0273957 |
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| PID: | 20.500.12556/RUL-147014  |
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| UDC: | 575:61 |
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| ISSN on article: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0273957 |
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| COBISS.SI-ID: | 152010499 |
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| Publication date in RUL: | 20.06.2023 |
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| Views: | 223 |
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| Downloads: | 55 |
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