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. 2021 Aug;58(8):3863-3873.
doi: 10.1007/s12035-021-02377-y. Epub 2021 Apr 15.

Targeted sequencing and integrative analysis to prioritize candidate genes in neurodevelopmental disorders

Affiliations

Targeted sequencing and integrative analysis to prioritize candidate genes in neurodevelopmental disorders

Yi Zhang et al. Mol Neurobiol. 2021 Aug.

Abstract

Neurodevelopmental disorders (NDDs) are a group of diseases characterized by high heterogeneity and frequently co-occurring symptoms. The mutational spectrum in patients with NDDs is largely incomplete. Here, we sequenced 547 genes from 1102 patients with NDDs and validated 1271 potential functional variants, including 108 de novo variants (DNVs) in 78 autosomal genes and seven inherited hemizygous variants in six X chromosomal genes. Notably, 36 of these 78 genes are the first to be reported in Chinese patients with NDDs. By integrating our genetic data with public data, we prioritized 212 NDD candidate genes with FDR < 0.1, including 17 novel genes. The novel candidate genes interacted or were co-expressed with known candidate genes, forming a functional network involved in known pathways. We highlighted MSL2, which carried two de novo protein-truncating variants (p.L192Vfs*3 and p.S486Ifs*11) and was frequently connected with known candidate genes. This study provides the mutational spectrum of NDDs in China and prioritizes 212 NDD candidate genes for further functional validation and genetic counseling.

Keywords: Candidate genes; De novo variants; Neurodevelopmental disorders; Targeted sequencing.

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Conflict of interest statement

The authors declare no competing interest.

Figures

Fig. 1
Fig. 1
Study workflow. This study consisted of four parts: (1) sample collection; (2) identification and validation of variants; (3) prioritization of candidate genes; (4) functional network analysis of novel and known candidate genes. PTVs, protein-truncating variants; Dmis, deleterious missense variants
Fig. 2
Fig. 2
Functional network of novel and known candidate genes. Based on co-expression data from BrainSpan and PPI data from IntAct, 159 candidate genes formed a large interconnected functional network, mainly involving the following major functional clusters: chromatin organization, essential genes, nervous system development, FMRP targets, behavior, and synapse organization. Novel candidate genes are in red circles and known candidate genes are in green circles. Different line types between nodes represent the interactions existing in BrainSpan or IntAct or in both BrainSpan and IntAct

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