The Future of Next-Generation Sequencing in Neurology

appMAGI: A complete laboratory information management system for clinical diagnostics

Background:

The increasing demand for genetic testing for clinical diagnosis and research challenges genetic laboratory capacity to track an increasing number of patient samples through all steps of analysis, from sample collection to report generation. This task is usually performed with the help of a laboratory information management system (LIMS), software that makes it possible to collect, store and retrieve laboratory and sample data. To date there are no open-source options that can manage the entire analytical flow of a genetic laboratory. appMAGI seeks to include all the management aspects of a clinical diagnostic laboratory, making it simpler to process many samples while maintaining the high security and quality standards required in clinical diagnostic practice.

Methods:

appMAGI is written in python using Django. It is a web application that does not require local installation, making development, updates and maintenance a much easier task. appMAGI runs on the Ubuntu server and uses SQLite as engine database.

Results:

In this work we describe an innovative LIMS called appMAGI designed to support all aspects of a clinical diagnostic laboratory. appMAGI can track samples throughout the diagnostic workflow and NGS analysis by virtue of a customizable bioinformatics pipeline. It can handle sample non-compliance, manage laboratory stocks, help generate reports and provide insights into sample data by means of special tools.

Conclusions:

appMAGI is a LIMS endowed with all the features required to manage thousands of samples. Allowing efficient management of patient samples from sample collection to diagnostic report generation. (www.actabiomedica.it)

High Functioning Autism with Missense Mutations in Synaptotagmin-Like Protein 4 (SYTL4) and Transmembrane Protein 187 (TMEM187) Genes: SYTL4- Protein Modeling, Protein-Protein Interaction, Expression Profiling and MicroRNA Studies

We describe a 7-year-old male with high functioning autism spectrum disorder (ASD) and maternally-inherited rare missense variant of Synaptotagmin-like protein 4 (SYTL4) gene (Xq22.1; c.835C>T; p.Arg279Cys) and an unknown missense variant of Transmembrane protein 187 (TMEM187) gene (Xq28; c.708G>T; p. Gln236His). Multiple in-silico predictions described in our study indicate a potentially damaging status for both X-linked genes. Analysis of predicted atomic threading models of the mutant and the native SYTL4 proteins suggest a potential structural change induced by the R279C variant which eliminates the stabilizing Arg279-Asp60 salt bridge in the N-terminal half of the SYTL4, affecting the functionality of the protein's critical RAB-Binding Domain. In the European (Non-Finnish) population, the allele frequency for this variant is 0.00042. The SYTL4 gene is known to directly interact with several members of the RAB family of genes, such as, RAB27A, RAB27B, RAB8A, and RAB3A which are known autism spectrum disorder genes. The SYTL4 gene also directly interacts with three known autism genes: STX1A, SNAP25 and STXBP1. Through a literature-based analytical approach, we identified three of five (60%) autism-associated serum microRNAs (miRs) with high predictive power among the total of 298 mouse Sytl4 associated/predicted microRNA interactions. Five of 13 (38%) miRs were differentially expressed in serum from ASD individuals which were predicted to interact with the mouse equivalent Sytl4 gene. TMEM187 gene, like SYTL4, is a protein-coding gene that belongs to a group of genes which host microRNA genes in their introns or exons. The novel Q236H amino acid variant in the TMEM187 in our patient is near the terminal end region of the protein which is represented by multiple sequence alignments and hidden Markov models, preventing comparative structural analysis of the variant harboring region. Like SYTL4, the TMEM187 gene is expressed in the brain and interacts with four known ASD genes, namely, HCFC1; TMLHE; MECP2; and GPHN. TMM187 is in linkage with MECP2, which is a well-known determinant of brain structure and size and is a well-known autism gene. Other members of the TMEM gene family, TMEM132E and TMEM132D genes are associated with bipolar and panic disorders, respectively, while TMEM231 is a known syndromic autism gene. Together, TMEM187 and SYTL4 genes directly interact with recognized important ASD genes, and their mRNAs are found in extracellular vesicles in the nervous system and stimulate target cells to translate into active protein. Our evidence shows that both these genes should be considered as candidate genes for autism. Additional biological testing is warranted to further determine the pathogenicity of these gene variants in the causation of autism.

Parents of a child with epilepsy: Views and expectations on receiving genetic results from Whole Genome Sequencing

PURPOSE

The use of Next Generation Sequencing technologies (NGS), such as Whole Genome Sequencing (WGS), is expected to improve the often complex and protracted course of treatment of patients with epilepsy by providing an earlier and more accurate diagnosis. As part of the "Personalized medicine in the treatment of epilepsy" project, which aimed to determine whether WGS could be used as a valuable "diagnostic tool" in pharmacoresistant epilepsies, we examined parents' expectations, hopes, and concerns upon receiving results related to their child's epilepsy, comorbidities, resistance to medication, and genetic information on unrelated conditions, and how these results could impact their and their child's life.

METHODS

Parents of 32 children participating in the genetic study completed either paper or online questionnaires. A descriptive analysis of responses and comments was conducted regarding parents' experience with their child's epilepsy, as well as their views on WGS, and expectations and concerns surrounding such test results.

RESULTS

Most respondents had trouble explaining the medical causes of their child's epilepsy (n = 27), and a majority (n = 26) feared that their child may be treated unjustly because of their epilepsy, although some acknowledged that their child had never actually been treated unjustly (n = 13). A majority of respondents had also experienced feelings of guilt due to their child's epilepsy (n = 23), and some expected WGS results to have an impact on those feelings. The anticipation of benefits for their child was the parents' primary reason to get involved in a genomic research project, closely followed by altruism. A majority expressed strong intentions to receive as many WGS results as possible, considering that any could be beneficial for them and their child, even when mutations were not found. Respondents were divided as to how and when to tell their child that they might have newly discovered predispositions to develop another disease. In proportion, more parents expressed concerns about sharing unexpected results with their family members compared with sharing results linked to epilepsy, comorbidities, and pharmacoresistance.

CONCLUSION

Our results reinforce the importance of having clear guidelines to help parents manage their expectations and better navigate the complexities of receiving and sharing WGS results. Despite the small size of our sample, we believe that our results are meaningful to clinical practice.

Practices and views of neurologists regarding the use of whole-genome sequencing in clinical settings: a web-based survey

The use of Whole-Genome Sequencing (WGS) in clinical settings has brought up a number of controversial scientific and ethical issues. The application of WGS is of particular relevance in neurology, as many conditions are difficult to diagnose. We conducted a worldwide, web-based survey to explore neurologists' views on the benefits of, and concerns regarding, the clinical use of WGS, as well as the resources necessary to implement it. Almost half of the 204 neurologists in the study treated mostly adult patients (48%), while the rest mainly children (37.3%), or both (14.7%). Epilepsy (73%) and headaches (57.8%) were the predominant conditions treated. Factor analysis brought out two profiles: neurologists who would offer WGS to their patients, and those who would not, or were not sure in which circumstances it should be offered. Neurologists considering the use of WGS as bringing more benefits than drawbacks currently used targeted genetic testing (P<0.05) or treated mainly children (P<0.05). WGS' benefits were directed towards the patients, while its risks were of a financial and legal nature. Furthermore, there was a correlation between respondents' current use of genetic tests and an anticipation of increased use in the future (P<0.001). However, over half of respondents did not feel sufficiently informed to use WGS in their practice (53.5%). Our results highlight gaps in education, organization, and funding to support the use of WGS in neurology, and draw attention to the need for resources that could strongly contribute to more straightforward diagnoses and possibly better treatment of neurological conditions.