Comparative analysis of the autism‑related variants between different autistic children in a family pedigree

Shen,Luxi; Li,Panyuan; Zheng,Tianjin; Luo,Meichen; Zhang,Shao; Huang,Yuting; Hu,Yongwu; Li,Hongzhi

doi:10.3892/mmr.2021.12336

Comparative analysis of the autism‑related variants between different autistic children in a family pedigree

Authors:
- Luxi Shen
- Panyuan Li
- Tianjin Zheng
- Meichen Luo
- Shao Zhang
- Yuting Huang
- Yongwu Hu
- Hongzhi Li
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Affiliations: Department of Internal Neurology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, P.R. China, Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang 325035, P.R. China, Department of Child Health, Wenzhou Maternal and Child Health Guidance Center, Wenzhou, Zhejiang 325000, P.R. China, Mental Health Center, Wenzhou Medical University, Wenzhou, Zhejiang 325035, P.R. China, Department of Child Stomatology, Wenzhou Central Hospital, Wenzhou, Zhejiang 325000, P.R. China
Published online on: August 3, 2021 https://doi.org/10.3892/mmr.2021.12336
Article Number: 697
Copyright: © Shen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The present study aimed to provide evidence for the genetic heterogeneity of familial autism spectrum disorder (ASD), which might help to improve our understanding of the complex polygenic basis of this disease. Whole‑exome sequencing (WES) was performed on two autistic children in a family pedigree, and reasonable conditions were set for preliminarily screening variant annotations. Sanger sequencing was used to verify the preliminarily screened variants and to determine the possible sources. In addition, autism‑related genes were screened according to autism databases, and their variants were compared between two autistic children. The results showed that there were 21 genes respectively for autistic children Ⅳ2 and Ⅳ4, preliminarily screened from all variants based on the harmfulness (high) and quality (high or medium) of the variants, as well as the association between mutant genes and autism in human gene mutation database. Furthermore, candidate autism‑related genes were screened according to the evidence score of >4 in the Autism KnowledgeBase (AutismKB) database or ≥3 in the AutDB database. A total of 11 and 10 candidate autism‑related genes were identified in the autistic children Ⅳ2 and Ⅳ4, respectively. Candidate genes with an evidence score of >16 in AutismKB were credible autism‑related genes, which included LAMC3, JMJD1C and CACNA1H in child Ⅳ2, as well as SCN1A, SETD5, CHD7 and KCNMA1 in child Ⅳ4. Other than the c.G1499A mutation of SCN1A, which is known to be associated with Dravet syndrome, the specific missense variant loci of other six highly credible putative autism‑related genes were reported for the first time, to the best of the authors' knowledge, in the present study. These credible autism‑related variants were inherited not only from immediate family members but also from extended family members. In summary, the present study established a reasonable and feasible method for screening credible autism‑related genes from WES results, which by be worth extending into clinical practice. The different credible autism‑related genes between the two autistic children indicated a complex polygenic architecture of ASD, which may assist in the early diagnosis of this disease.

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