Dataset Information

Molecular Genetic Characterization of Patients With Focal Epilepsy Using a Customized Targeted Resequencing Gene Panel.

ABSTRACT: Objective: Focal epilepsy is the most common subtype of epilepsies in which the influence of underlying genetic factors is emerging but remains largely uncharacterized. The purpose of this study is to determine the contribution of currently known disease-causing genes in a large cohort (n = 593) of common focal non-lesional epilepsy patients. Methods: The customized focal epilepsy gene panel (21 genes) was based on multiplex polymerase chain reaction (PCR) and sequenced by Illumina MiSeq platform. Results: Eleven variants (1.85%) were considered as pathogenic or likely pathogenic, including seven novel mutations. There were three SCN1A (p.Leu890Pro, p.Arg1636Ter, and p.Met1714Val), three PRRT2 (two p.Arg217Profs*8 and p.Leu298Pro), two CHRNA4 (p.Ser284Leu, p.Ile321Asn), one DEPDC5 (p.Val516Ter), one PCDH19 (p.Asp233Asn), and one SLC2A1 (p.Ser414Ter) variants. Additionally, 16 other rare variants were classified as unknown significance due to inconsistent phenotype or lack of segregation data. Conclusion: Currently known focal epilepsy genes only explained a very small subset of focal epilepsy patients. This indicates that the underlying genetic architecture of focal epilepsies is very heterogeneous and more novel genes are likely to be discovered. Our study highlights the usefulness, challenges and limitations of using the multi-gene panel as a diagnostic test in routine clinical practice in patients with focal epilepsy.

SUBMITTER: Tsai MH

PROVIDER: S-EPMC6043663 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Molecular Genetic Characterization of Patients With Focal Epilepsy Using a Customized Targeted Resequencing Gene Panel.

Tsai Meng-Han MH Chan Chung-Kin CK Chang Ying-Chao YC Lin Chih-Hsiang CH Liou Chia-Wei CW Chang Wen-Neng WN Ng Ching-Ching CC Lim Kheng-Seang KS Hwang Daw-Yang DY

Frontiers in neurology 20180706

Objective: Focal epilepsy is the most common subtype of epilepsies in which the influence of underlying genetic factors is emerging but remains largely uncharacterized. The purpose of this study is to determine the contribution of currently known disease-causing genes in a large cohort (n = 593) of common focal non-lesional epilepsy patients. Methods: The customized focal epilepsy gene panel (21 genes) was based on multiplex polymerase chain reaction (PCR) and sequenced by I ...[more]

PMID: 30034362

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Project description:Comprehensive mutation profiling becomes more and more important in hematopathology complementing morphological and immunohistochemical evaluation of fixed, decalcified and embedded bone marrow biopsies for diagnostic, prognostic and also predictive purposes. However, the number and the size of relevant genes leave conventional Sanger sequencing impracticable in terms of costs, required input DNA, and turnaround time. Since most published protocols and commercially available reagents for targeted resequencing of gene panels are established and validated for the analysis of fresh bone marrow aspirate or peripheral blood it remains to be proven whether the available technology can be transferred to the analysis of archival trephines. Therefore, the performance of the recently available Ion AmpliSeq AML Research panel (LifeTechnologies) was evaluated for the analysis of fragmented DNA extracted from archival bone marrow trephines. Taking fresh aspirate as gold standard all clinically relevant mutations (n = 17) as well as 25 well-annotated SNPs could be identified reliably with high quality in the corresponding archival trephines of the training set (n = 10). Pre-treatment of the extracted DNA with Uracil-DNA-Glycosylase reduced the number of low level artificial sequence variants by more than 60%, vastly reducing time required for proper evaluation of the sequencing results. Subsequently, randomly picked FFPE samples (n = 41) were analyzed to evaluate sequencing performance under routine conditions. Thereby all known mutations (n = 43) could be verified and 36 additional mutations in genes not yet covered by the routine work-up (e.g., TET2, ASXL1, DNMT3A), demonstrating the feasibility of this approach and the gain of diagnostically relevant information. The dramatically reduced amount of input DNA, the increase in sensitivity as well as calculated cost-effectiveness, low hands on , and turn-around-time, necessary for the analysis of 237 amplicons strongly argue for replacing Sanger sequencing by this semiconductor-based targeted resequencing approach.

Project description:Background: Recent advanced technologies, such as high-throughput sequencing, have enabled the identification of a broad spectrum of variants. Using targeted-gene-panel resequencing for Parkinson's disease (PD)-associated genes, we have occasionally found several single-nucleotide variants (SNVs), which are thought to be disease-associated, in PD patients. To confirm the significance of these potentially disease-associated variants, we performed genome association analyses, using next-generation target resequencing, to evaluate the associations between the identified SNVs and PD. Methods: We obtained genomic DNA from 766 patients, who were clinically diagnosed with PD, and 336 healthy controls, all of Japanese origin. All data were analyzed using Ion AmpliSeq panel sequences, with 29 PD- or dementia-associated genes in a single panel. We excluded any variants that did not comply with the Hardy-Weinberg equilibrium in the control group. Variant frequencies in the PD and control groups were compared using PLINK. The identified variants were confirmed to a frequency difference of P < 0.05, after applying the Benjamini-Hochberg procedure using Fisher's exact test. The pathogenicity and prevalence of each variant were estimated based on a public gene database. Results: We identified three rare variants that were significantly associated with PD: rs201012663/rs150500694 in SYNJ1 and rs372754391 in DJ-1, which are intronic variants, and rs7412 in ApoE, which is an exonic variant. The variants in SYNJ1 and ApoE were frequently identified in the control group, and rs201012663/rs150500694 in SYNJ1 may play a protective role against PD. The DJ-1 variant was frequently identified in the PD group, with a high odds ratio of 2.2. Conclusion: The detected variants may represent genetic modifiers or disease-related variants in PD. Targeted-gene-panel resequencing may represent a useful method for detecting disease-causing variants and genetic association studies in PD.

Dataset Information

Molecular Genetic Characterization of Patients With Focal Epilepsy Using a Customized Targeted Resequencing Gene Panel.

Publications

Molecular Genetic Characterization of Patients With Focal Epilepsy Using a Customized Targeted Resequencing Gene Panel.

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