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Comprehensive analysis of coding variants highlights genetic complexity in developmental and epileptic encephalopathy.

Atsushi Takata | Mitsuko Nakashima | Hirotomo Saitsu | Takeshi Mizuguchi | Satomi Mitsuhashi | Yukitoshi Takahashi | Nobuhiko Okamoto | Hitoshi Osaka | Kazuyuki Nakamura | Jun Tohyama | Kazuhiro Haginoya | Saoko Takeshita | Ichiro Kuki | Tohru Okanishi | Tomohide Goto | Masayuki Sasaki | Yasunari Sakai | Noriko Miyake | Satoko Miyatake | Naomi Tsuchida | Kazuhiro Iwama | Gaku Minase | Futoshi Sekiguchi | Atsushi Fujita | Eri Imagawa | Eriko Koshimizu | Yuri Uchiyama | Kohei Hamanaka | Chihiro Ohba | Toshiyuki Itai | Hiromi Aoi | Ken Saida | Tomohiro Sakaguchi | Kouhei Den | Rina Takahashi | Hiroko Ikeda | Tokito Yamaguchi | Kazuki Tsukamoto | Shinsaku Yoshitomi | Taikan Oboshi | Katsumi Imai | Tomokazu Kimizu | Yu Kobayashi | Masaya Kubota | Hirofumi Kashii | Shimpei Baba | Mizue Iai | Ryutaro Kira | Munetsugu Hara | Masayasu Ohta | Yohane Miyata | Rie Miyata | Jun-Ichi Takanashi | Jun Matsui | Kenji Yokochi | Masayuki Shimono | Masano Amamoto | Rumiko Takayama | Shinichi Hirabayashi | Kaori Aiba | Hiroshi Matsumoto | Shin Nabatame | Takashi Shiihara | Mitsuhiro Kato | Naomichi Matsumoto
Nature communications | 2019

Although there are many known Mendelian genes linked to epileptic or developmental and epileptic encephalopathy (EE/DEE), its genetic architecture is not fully explained. Here, we address this incompleteness by analyzing exomes of 743 EE/DEE cases and 2366 controls. We observe that damaging ultra-rare variants (dURVs) unique to an individual are significantly overrepresented in EE/DEE, both in known EE/DEE genes and the other non-EE/DEE genes. Importantly, enrichment of dURVs in non-EE/DEE genes is significant, even in the subset of cases with diagnostic dURVs (P = 0.000215), suggesting oligogenic contribution of non-EE/DEE gene dURVs. Gene-based analysis identifies exome-wide significant (P = 2.04 × 10-6) enrichment of damaging de novo mutations in NF1, a gene primarily linked to neurofibromatosis, in infantile spasm. Together with accumulating evidence for roles of oligogenic or modifier variants in severe neurodevelopmental disorders, our results highlight genetic complexity in EE/DEE, and indicate that EE/DEE is not an aggregate of simple Mendelian disorders.

Pubmed ID: 31175295

Associated grants

  • Agency: Japan Agency for Medical Research and Development (AMED), International
    Id: JP18ek0109280
  • Agency: MEXT | Japan Society for the Promotion of Science (JSPS), International
    Id: JP17H01539

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This is a list of tools and resources that we have found mentioned in this publication.


Human Gene Mutation Database (tool)

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GATK (tool)

RRID:SCR_001876

A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software)

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RRID:SCR_002344

Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species.

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Source code of a Cytoscape plugin for functional enrichment visualization. It organizes gene-sets, such as pathways and Gene Ontology terms, into a network to reveal which mutually overlapping gene-sets cluster together.

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