Human Genome Variation Society Research Articles

Detection of EGFR exon 20 insertion mutations in non-small cell lung cancer: implications for consistent nomenclature in precision medicine

Epidermal growth factor receptor (EGFR) exon 20 insertion mutations (E20ins) are the third most frequent mutations observed in non-small cell lung cancer, accounting for approximately 1-10% of all EGFR mutations. In the era of precision medicine and targeted therapies, consistent naming of genetic alterations is crucial to avoid confusion and errors. However, the annotation of EGFR E20ins mutations has been inconsistent, leading to confusion in the scientific literature and product documentation. In this study, our primary objective was to investigate the usage of different annotation related to EGFR E20ins in independent studies. Additionally, we assessed the distribution of EGFR E20ins mutations and estimated the detection coverage expected from each available EGFR E20ins detection assay. A total of 1,418 EGFR E20ins mutations were collected from six studies (FoundationInsights, Geneseeq Technology Inc, mobocertinib phase I/II trial, poziotinib phase II trial, sunvozertinib phase I trial, and Samsung Medical Center) and reorganised according to Human Genome Variation Society (HGVS) nomenclature. Our analysis revealed that the majority of EGFR E20ins mutations requiring correction were 'insertion' or 'deletion-insertion', which should be appropriately designated as 'duplication'. Additionally, duplicated variants were reported using different annotations in each study, and furthermore, even identical variant sequences were annotated differently within the same study. In all six studies, p.A767_V769dup and p.S768_D770dup were the most frequently observed EGFR E20ins. The Oncomine Dx Target Test showed the highest patient coverage at 77.2%, followed by the Droplex EGFR Mutation Test v2 with a patient coverage of 70.5% for EGFR E20ins patients. To ensure comprehensive coverage in real-world settings, it is essential to standardise the annotations for each variant, for example using the HGVS nomenclature. The accurate classification and analysis of drug responsiveness in EGFR E20ins necessitate consideration of the nomenclature, particularly with respect to the locations where the actual mutations occur.

MVAR: A Mouse Variation Registry

The Mouse Variation Registry (MVAR) resource is a scalable registry of mouse single nucleotide variants and small indels and variant annotation. The resource accepts data in standard Variant Call Format (VCF) and assesses the uniqueness of the submitted variants via a canonicalization process. Novel variants are assigned a unique, persistent MVAR identifier; variants that are equivalent to an existing variant in the resource are associated with the existing identifier. Annotations for variant type, molecular consequence, impact, and genomic region in the context of specific transcripts and protein sequences are generated using Ensembl’s Variant Effect Predictor (VEP) and Jannovar. Access to the data and annotations in MVAR are supported via an Application Programming Interface (API) and web application. Researchers can search the resource by gene symbol, genomic region, variant (expressed in Human Genome Variation Society syntax), refSNP identifiers, or MVAR identifiers. Tabular search results can be filtered by variant annotations (variant type, molecular consequence, impact, variant region) and viewed according to variant distribution across mouse strains. The registry currently comprises more than 99 million canonical single nucleotide variants for 581 strains of mice. MVAR is accessible from https://mvar.jax.org.

Bioinformatics Architecture for Integrating Genomics Data into Electronic Health Records.

The adequate management of patients' genomic information is essential for any health institution pursuing the Precision Medicine model. Here we approach a bioinformatic architecture that allows the Institution to store its whole genetic test data in a scalable database, and also the integration of that genetic data with the Electronic Health Record through a Clinical Decision Support System. The system complements patient care by suggesting referral to genetic counseling for patients who are potentially at risk of hereditary breast/ovarian cancer, and allowing for proper follow-up of patients with pathogenic variants in BRCA1 or BRCA2 genes. The implemented solution uses the FHIR standard and genetic nomenclatures from the Human Genome Variation Society and the HUGO Gene Nomenclature Committee. The architecture is flexible enough to allow any other health institution to integrate -to their information ecosystem- the whole solution or some of the modules according to its degree of digitization progress.

Identification of five novel variants of ADAR1 in dyschromatosis symmetrica hereditaria by next-generation sequencing.

Dyschromatosis symmetrica hereditaria (DSH) is a rare autosomal dominant inherited pigmentary dermatosis characterized by a mixture of hyperpigmented and hypopigmented freckles on the dorsal aspect of the distal extremities. To date, pathogenic mutations causing DSH have been identified in the adenosine deaminase acting on RNA1 gene (ADAR1), which is mapped to chromosome 1q21. The present study aimed to investigate the underlying pathological mechanism in 14 patients with DSH from five unrelated Chinese families. Next-generation sequencing (NGS) and direct sequencing were performed on a proband with DSH to identify causative mutations. All coding, adjacent intronic, and 5'- and 3'-untranslated regions of ADAR1 were screened, and variants were identified. These mutations consisted of three missense mutations (NM_001025107: c.716G>A, NM_001111.5: c.3384G>C, and NM_001111.5: c.3385T>G), one nonsense mutation (NM_001111.5:c.511G>T), and one splice-site mutation (NM_001111.5: c.2080-1G>T) located in exon 2, exon 14, and the adjacent intronic region according to recommended Human Genome Variation Society (HGVS) nomenclature. Moreover, using polymerase chain reaction and Sanger sequencing, we identified five novel ADAR1 variants, which can be predicted to be pathogenic by in silico genome sequence analysis. Among the mutations, the missense mutations had no significant effect on the spatial structure of the protein, while the stop codon introduced by the nonsense mutation truncated the protein. Our results highlighted that the advent of NGS has facilitated high-throughput screening for the identification of disease-causing mutations with high accuracy, stability, and specificity. Five novel genetic mutations were found in five unrelated families, thereby extending the pathogenic mutational spectrum of ADAR1 in DSH and providing new insights into this complex genetic disorder.

TP53 mutations in Romanian patients with colorectal cancer

BackgroundColorectal cancer (CRC) has been ranked as the second most deadly cancer and the third most diagnosed cancer cases for the year 2020. Specifically for Romania, the number of CRC-related deaths in 2019 was estimated at 6307 people, with a standardized mortality rate of 33.8 per 100,000 inhabitants. Although the tumor protein 53 (TP53) gene is intensively studied, there are few data on TP53 mutations in Romanian CRC. Furthermore, since genetic alterations may show geographical differences, our study aimed to analyze the clinical status and TP53 somatic variation in Romanian CRC patients.Subjects and methodsDNA from 40 randomly selected cases of CRC was extracted from formalin-fixed paraffin-embedded tissues and sequenced using direct Sanger sequencing techniques, and variants were annotated according to the recommendations of the Human Genome Variation Society. Novel variants were analyzed using MutationTaster2021 to predict their effects.ResultsThe mean age was 63.6 years (range 33–85 years) with a male to female ratio of 2.3. More than 45% (18/40) had an advanced cancer stage (≥ stage III). Mutations were found in 21/40 cases (52.5%), with one case having two mutations, giving a total of twenty-two mutations in the TP53 coding DNA. These mutations include 3 (13.6%) insertion-deletion mutations, two of which are novel frameshift mutations: c.165delT (in exon 4) and c.928_935dup (in exon 9), both of which are predicted to lead to nonsense-mediated mRNA decay and are classified as deleterious. The remaining 19 (86.36%) were substitution mutations: 1 nonsense and 18 (81.8%) missense mutations, with G > A (n = 7/19; 36.8%) and C > T (n = 6/19; 31.5%) transitions being the most common. The G > T transversion was found in 21.05% (4/19) of the substitution mutations.ConclusionWe have described two novel frameshift mutations in TP53. The discovery of novel mutations following the efforts of The Cancer Genome Atlas and other large-scale cancer genome sequencing projects may be further evidence of the heterogeneous nature of mutations in cancer and may indicate that the identification of carcinogenic mutations is not yet saturated. Further sequencing is therefore needed, especially in less studied populations. Importantly, consideration of their geographical environment will shed light on population-specific carcinogenesis.

Molecular profiling in a Peruvian population with advanced non-small cell lung cancer assessed by NGS.

e20612 Background: The use of next generation sequencing (NGS) both at diagnosis and disease progression has allowed us to detect changes in the genetic profile of patients that are potentially targetable. In this study we will describe the genetic profile of patients both at diagnosis and disease progression using NGS in tissue sample (TS) and liquid biopsy (LB). Methods: We evaluated 403 patients diagnosed with non-small cell lung cancer (NSCLC) referred to ONCOGENOMICS laboratory from 2016 to 2022 to somatic mutation testing. NGS was performed using the Ampliseq for Illumina FOCUS panel and run on the Illumina MiSeq. The panel targets single nucleotide variants (SNVs) and insertion/deletions (indels), copy number variation (CNVs), and gene fusions in 52 genes associate to solid tumors. Raw data were processed automatically on the BaseSpace Sequence Hub (Illumina) and aligned to the hg19 reference genome The default limit of detection (LOD) was set at 5% allelic frequency (VAF) in tissue samples and 0.5% VAF in ccfDNA samples. The Human Genome Variation Society (HGVS) nomenclature guidelines (http://varnomen.hgvs.org/) were used to annotate identified variants and the ClinVar database (www.ncbi.nlm.nih.gov/clinvar/) was used to determine the biological significance of all reported variants. Results: Of the 403 patients, 351 patients had NGS at diagnosis and 52 patients in disease progression. Regarding the genetic profile at diagnosis, we analyzed 328 tissue samples and 23 liquid biopsies, the most frequent alteration was the EGFR mutation, detected in 116 (33.1%) patients (detection rate TS 32.6% and LB 39.1%), followed by KRAS (15.4%), ALK (2.6%), BRAF (1.9%), and others (4.8%). In the disease progression setting, we analyzed 34 tissue samples and 18 liquid biopsies, the most frequent alteration was the EGFR mutation, detected in 28 (53.8%) patients (TS detection rate 29.4% and LB 44.4%), followed by KRAS (15.4%), ALK (3.9%), and others (3.9%). Conclusions: Peruvian patients are a population with a high mutation rate, in this cohort almost 50% of them had a target mutation, especially the EGFR mutation. Likewise, it was found that the detection rate of the EGFR mutation was higher with NGS in liquid biopsy than in tissue samples, both in the diagnostic and in the disease progression samples. On the other hand, it is important to mention that the frequency of KRAS mutations found is higher than previous Peruvian reports.

Germline Mutations Landscape in a Cohort of the State of Minas Gerais, Brazil, in Patients Who Underwent Genetic Counseling for Gynecological and Breast Cancer.

The present study evaluated the profile of germline mutations present in patients who underwent genetic counseling for risk assessment for breast cancer (BC), ovarian cancer (OC), and endometrial cancer (EC) with a possible hereditary pattern. Medical records of 382 patients who underwent genetic counseling after signing an informed consent form were analyzed. A total of 55.76% of patients (213/382) were symptomatic (personal history of cancer), and 44.24% (169/382) were asymptomatic (absence of the disease). The variables analyzed were age, sex, place of birth, personal or family history of BC, OC, EC, as well as other types of cancer associated with hereditary syndromes. The Human Genome Variation Society (HGVS) nomenclature guidelines were used to name the variants, and their biological significance was determined by comparing 11 databases. We identified 53 distinct mutations: 29 pathogenic variants, 13 variants of undetermined significance (VUS), and 11 benign. The most frequent mutations were BRCA1 c.470_471delCT, BRCA1 c.4675 + 1G > T, and BRCA2 c.2T> G. Furthermore, 21 variants appear to have been described for the first time in Brazil. In addition to BRCA1/2 mutations, variants in other genes related to hereditary syndromes that predispose to gynecological cancers were found. This study allowed a deeper understanding of the main mutations identified in families in the state of Minas Gerais and demonstrates the need to assess the family history of non-gynecological cancer for risk assessment of BC, OC, and EC. Moreover, it is an effort that contributes to population studies to evaluate the cancer risk mutation profile in Brazil.

Revealing molecular architecture of FLT3 internal tandem duplication: Development and clinical validation of a web-based application to generate accurate nomenclature.

FLT3 internal tandem duplicate (ITD) is associated with unfavorable prognosis of acute myeloid leukemia; targeted therapy improves clinical outcome. We propose that FLT3-ITD detected by next generation sequencing (NGS) should be reported with the same nomenclature pattern as single nucleotide variants so that the mutation can be better interpreted clinically. A Python-based web application was developed to generate FLT3-ITD nomenclature as recommended by the Human Genome Variation Society (HGVS). Assembled FLT3-ITD sequences from 84 patients and 11 artificially created ITD sequences were used for the validation of this web-based application. Each sequence was inspected manually to confirm that the nomenclature was accurate. Accurate nomenclatures were generated for 113 of 114 sequencing results and 7 artificial sequences. One assembled sequence and four artificial sequences were not named accurately; warning statements were automatically generated to alert further inspection. Of the 105 unique FLT3-ITDs, the ITD lengths range from 18 to 300 bp. Depending whether the ITD involves intron or extends into exon 15, three patterns were recognized. Only 44 (42%) ITDs were pure duplications, and three types of variants were identified at the 5' of ITD. When ITD involves intronic sequence, the protein may comprise inserted amino acids encoded by the intron, due to disrupted RNA splicing. The web application generates accurate FLT3-ITD nomenclature from NGS results except in rare situations. The HGVS nomenclatures provide information on the molecular architecture of FLT3-ITDs and reveal details of complex insertions with partial duplications.

The Use of Next-generation Sequencing in the Diagnosis of Rare Inherited Anaemias: A Joint BSH/EHA Good Practice Paper.

The Use of Next-generation Sequencing in the Diagnosis of Rare Inherited Anaemias: A Joint BSH/EHA Good Practice Paper.

Large scale genotype- and phenotype-driven machine learning in Von Hippel-Lindau disease.

Von Hippel-Lindau (VHL) disease is a hereditary cancer syndrome where individuals are predisposed to tumor development in the brain, adrenal gland, kidney, and other organs. It is caused by pathogenic variants in the VHL tumor suppressor gene. Standardized disease information has been difficult to collect due to the rarity and diversity of VHL patients. Over 4100 unique articles published until October 2019 were screened for germline genotype-phenotype data. Patient data weretranslated into standardized descriptions using Human Genome Variation Societygene variant nomenclature and Human Phenotype Ontologyterms and has been manually curated into an open-access knowledgebase called Clinical Interpretation of Variants in Cancer. In total, 634 unique VHL variants, 2882 patients, and 1991 families from 427 papers were captured. We identified relationship trends between phenotype and genotype data using classic statistical methods and spectral clustering unsupervised learning. Our analyses reveal earlier onset of pheochromocytoma/paraganglioma and retinal angiomas, phenotype co-occurrences and genotype-phenotype correlations including hotspots. It confirms existing VHL associations and can be used to identify new patterns and associations in VHL disease. Our database serves as an aggregate knowledge translation tool to facilitate sharing information about the pathogenicity of VHL variants.

A novel deletion mutation accompanied by a point mutation in Lamin A/C gene: Screened from a dilated cardiomyopathy family.

There are 30%-40% of patients with dilated cardiomyopathy (DCM) having genetic causes, among which Lamin A and C gene (LMNA) mutation is the second most frequent DCM-related mutation, and Lamin A/C may be involved in the pathogenesis of DCM through the regulation of gene transcription or the direct effect of cell structure. Methods: Echocardiography and electrocardiogram were used to diagnose DCM and arrhythmia in a DCM family. Then, linked mutations on LMNA were screened out by high-throughput sequencing and verified by Sanger sequencing in all research individuals. Meanwhile, Human Genome Variation Society (HGVS) and Integrative Genomics Viewer (IGV) were used to analyse the characteristics of the mutated Lamin A/C protein. Finally, mutated-type and wild-type LMNA plasmid was transfected into AC-16 cardiomyocytes with the form of a lentivirus vector, and its effect on nucleus and actin was studied by immunofluorescence detection. In this study, we found a new frame-shifted mutation of LMNA (p.Ser414Alafs*66) linked with another point mutation from a DCM family by using High-throughput sequencing, and this deletion mutation led to a truncation of Lamin A/C. By analysing the clinical characteristics of this DCM family, we found that all DCM patients with arrhythmia were carriers of this co-segregation mutation. In the cytological experiment, we found that the mutated-type transfections showed weaker fluorescent intensities on both actin and cell nucleus. A co-segregation mutation of LMNA (Point mutation chr1 156107548 c.1712 G>A and truncated frame-shifted mutation chr1 156106086 c.1240delA) was found from a DCM family, and this type of mutation could participate in the pathogenesis of DCM by affecting the expression of actin.

Abstract P3-12-24: Landscape of germline BRCA1 and BRCA2 mutations in breast cancer in Peru

Abstract BACKGROUND: Breast cancer (BC) is the most common cancer and the second leading cause of cancer-related deaths worldwide. Mutations in tumor suppressor genes BRCA1 and BRCA2 are the most common cause of hereditary breast and ovarian cancer. Additionally, carriers of germline BRCA1/2 mutations also have an elevated risk of other malignancies. Identification of mutations within these genes is essential for determining early cancer detection and risk-reducing strategies in carriers and establishing a therapeutic approach in breast cancer patients. The aims of this study were to evaluate the prevalence and spectrumof germline BRCA1 and BRCA2 variants in peruvian breast cancer patients. METHODS: Patients with HER2Neu negative BC referred to ONCOGENOMICS laboratory from 2019 to2021 to assessed poly (adenosine diphosphate-ribose) polymerase (PARP) inhibitor treatment were included in the study. Blood samples were collected to assess the status of germline BRCA1 and BRCA2. Next Generation Sequencing (NGS) was performed using the Ampliseq for Illumina BRCA panel and run on the Illumina MiSeq. The Human Genome Variation Society (HGVS) nomenclature guidelines (http://varnomen.hgvs.org/) were used to annotate identified variants and the ClinVar database (www.ncbi.nlm.nih.gov/clinvar/) was used to determine the clinical significance of all reported variants. Current American College of Medical Genetics (ACMG) guidelines were also used for further classification. RESULTS: A total of 155 HER2Neu negative BC cases were evaluated. Median age at BRCA1/2 evaluation was 51 (23-82) years, 78.1% (121) were negative HR status (triple-negative BC, TNBC); 21.9% (34) were positive HR status; 33.5% (52) were clinical stage III and 66.5% (103) were clinical stage IV. Most patients were from Lima-Callao (65.8%) followed by patients from the coast (23.9%), highlands (9%) and rainforest(1.3%). Only 18.7% of patients were from public health centers. The prevalence of pathogenic (P) and likely pathogenic (LP) variants in BRCA1/2 was 13.5% (21) (13 in BRCA1 and 8 in BRCA2). The pathogenic variant in BRCA1 c.2105dupT (p.Leu702Phefs*10) was found in 3 cases (2 Lima-Callao and 1 coast). All variants identified in BRCA1 were in TNBC. In BRCA2, half of pathogenic variants were found in TNBC. The prevalence of variants of uncertain significance (VUS) was 6.4% (10). In BRCA2, we identified 7 VUS and the variant c.5465A>T (p.Asn1822Ile) was found in 3 cases with positive HR status. Only one VUS was found in BRCA1. CONCLUSION: BRCA1 and BRCA2 germline mutations were identified in 13.5% of peruvian HER2Neu negative BC patients. A higher rate of P/LP variants was found in BRCA1. TNBC patients demostrated a higher prevalence in BRCA1 variants. Citation Format: Joseph A Pinto, Yomali Ferreyra, Alicia M Cock-Rada, Franco Doimi, Jhoysi Casas, Jhajaira Araujo, Gina Rosas, Leny Bravo, Carolina Belmar-López. Landscape of germline BRCA1 and BRCA2 mutations in breast cancer in Peru [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-12-24.

A performance evaluation study: Variant annotation tools - the enigma of clinical next generation sequencing (NGS) based genetic testing

Dramatically expanding our ability for clinical genetic testing for inherited conditions and complex diseases such as cancer, next generation sequencing (NGS) technologies are allowing for rapid interrogation of thousands of genes and identification of millions of variants. Variant annotation, the process of assigning functional information to DNA variants based on the standardized Human Genome Variation Society (HGVS) nomenclature, is a fundamental challenge in the analysis of NGS data that has led to the development of many bioinformatic algorithms. In this study, we evaluated the performance of 3 variant annotation tools: Alamut® Batch, Ensembl Variant Effect Predictor (VEP), and ANNOVAR, benchmarked by a manually curated ground-truth set of 298 variants from the medical exome database at the Molecular Diagnostics Laboratory at Lurie Children's Hospital. Of the 3 tools, VEP produces the most accurate variant annotations (HGVS nomenclature for 297 of the 298 variants) due to usage of updated gene transcript versions within the algorithm. Alamut® Batch called 296 of the 298 variants correctly; strikingly, ANNOVAR exhibited the greatest number of discrepancies (20 of the 298 variants, 93.3% concordance with ground-truth set). Adoption of validated methods of variant annotation is critical in post-analytical phases of clinical testing.

Variations in Nomenclature of Clinical Variants between Annotation Tools.

Accurate nomenclature of variants is an essential element for genetic diagnosis and patient care. To investigate annotation differences of clinical variants between annotation tools. We analyzed 218,156 clinical variants from the Human Gene Mutation Database. Multiple nomenclatures based on RefSeq transcripts were provided using ANNOVAR and snpEff. The concordance rate between ANNOVAR and snpEff was approximately 85%. Based on the Human Genome Variation Society (HGVS) nomenclature, snpEff was more accurate than ANNOVAR (coding variants, 99.3% vs 84.9%; protein variants, 94.3% vs 79.8%). When annotating each variant with ANNOVAR and snpEff, the accuracy of nomenclature was 99.5%. There were substantial differences between ANNOVAR and snpEff annotations. The findings of this study suggest that simultaneous use of multiple annotation tools could decrease nomenclature errors and contribute to providing standardized clinical reporting.

Three decades of the Human Genome Organization.

The Human Genome Organization (HUGO) was initially established in 1988 to help integrate international scientific genomic activity and to accelerate the diffusion of knowledge from the efforts of the human genome project. Its founding President was Victor McKusick. During the late 1980s and 1990s, HUGO organized lively gene mapping meetings to accurately place genes on the genome as chromosomes were being sequenced. With the completion of the Human Genome Project, HUGO went through some transitions and self‐reflection. In 2020, HUGO (which hosts a large annual scientific meeting and comprises the renowned HUGO Gene Nomenclature Committee [HGNC], responsible for naming genes, and an outstanding Ethics Committee) was merged with the Human Genome Variation Society (HGVS; which defines the correct nomenclature for variation description) and the Human Variome Project (HVP; championed by the late Richard Cotton) into a single organization that is committed to assembling human genomic variation from all over the world. This consolidated effort, under a new Executive Board and seven focused committees, will facilitate efficient and effective communication and action to bring the benefits of increasing knowledge of genome diversity and biology to people all over the world.

A common classification framework for histone sequence alterations in tumours: an expert consensus proposal.

The description of genetic alterations in tumours is of increasing importance. In human genetics, and in pathology reports, sequence alterations are given using the human genome variation society (HGVS) guidelines for the description of such variants. However, there is less adherence to these guidelines for sequence variations in histone genes. Due to early cleavage of the N-terminal methionine in most histones, the description of histone sequence alterations follows their own nomenclature and differs from the HGVS-compliant numbering by omitting this first amino acid. Next generation sequencing reports, however, follow the HGVS guidelines and as a result, an unambiguous description of sequence variants in histones cannot be provided. The coexistence of these two nomenclatures leads to confusions for pathologists, oncologists, and researchers. This review provides an overview of tumour entities with sequence alterations of the H3-3A gene (HGNC ID = HGNC:4764), highlights the problems associated with the coexistence of these two nomenclatures, and proposes a standard for the reporting of histone sequence variants that allows an unambiguous description of these variants according to HGVS principles. We hope that scientific journals will adopt the new notation, and that both geneticists and pathologists will include it in their reports. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.

Mutalyzer 2: next generation HGVS nomenclature checker.

MotivationUnambiguous variant descriptions are of utmost importance in clinical genetic diagnostics, scientific literature and genetic databases. The Human Genome Variation Society (HGVS) publishes a comprehensive set of guidelines on how variants should be correctly and unambiguously described. We present the implementation of the Mutalyzer 2 tool suite, designed to automatically apply the HGVS guidelines so users do not have to deal with the HGVS intricacies explicitly to check and correct their variant descriptions.ResultsMutalyzer is profusely used by the community, having processed over 133 million descriptions since its launch. Over a five year period, Mutalyzer reported a correct input in ∼50% of cases. In 41% of the cases either a syntactic or semantic error was identified and for ∼7% of cases, Mutalyzer was able to automatically correct the description.Availability and implementationMutalyzer is an Open Source project under the GNU Affero General Public License. The source code is available on GitHub (https://github.com/mutalyzer/mutalyzer) and a running instance is available at: https://mutalyzer.nl

Editorial: JMG in 2021

The need for precision in scientific communication is long established. In genetics, one area in which it is particularly important that information be communicated accurately is the reporting of DNA...

Standardizing gene product nomenclature—a call to action

The current lack of a standardized nomenclature system for gene products (e.g., proteins) has resulted in a haphazard counterproductive system of labeling. Different names are often used for the same gene product; the same name is sometimes used for unrelated gene products. Such ambiguity causes not only potential harm to patients, whose treatments increasingly rely on laboratory tests for multiple gene products, but also miscommunication and inefficiency, both of which hinder progress of broad scientific fields. To mitigate this confusion, we recommend standardizing human protein nomenclature through the use of a Human Genome Organisation (HUGO) Gene Nomenclature Committee (HGNC) gene symbol accompanied by its unique HGNC ID. We call for action across all biomedical communities and scientific and medical journals to standardize nomenclature of gene products using HGNC gene symbols to enhance accuracy in scientific and public communication. We call on all biomedical communities and scientific and medical journals to standardize nomenclature of gene products to enhance accuracy in scientific and public communication. Image credit: Shutterstock/greenbutterfly. Use of gene symbols designated by the HGNC [www.genenames.org (1)] is nearly universal. DNA- and RNA-level sequence variation nomenclature has been standardized to use HGNC gene symbols, the Single Nucleotide Polymorphism database (dbSNP) IDs, and genetic variant nomenclature designated by the Human Genome Variation Society (HGVS) to unambiguously designate variants. In striking contrast to the use of universal identifiers for genes and gene variants, there are no universal identifiers for the peptides and proteins that these genes encode. Many gene products have multiple nomenclatures in widespread use, and many common nomenclatures are used for multiple gene products. For example, the symbol “PD-1” is shared by multiple unrelated gene products and is used to describe PDCD1 , SNCA , and SPATA2 gene products. The PDCD1 (PD-1) protein is a well-known target for cancer immunotherapy. … [↵][1]1To whom correspondence may be addressed. Email: elspeth@ebi.ac.uk, timothy.oleary@va.gov, or sogino{at}bwh.harvard.edu. [1]: #xref-corresp-1-1

A 16-year-old patient with Charcot Marie Tooth disease in variant c.217G>C of the INF2 gene and focal glomerulosclerosis – a case report

Introduction. Charcot Marie Tooth disease (CMT) is currently one of the most commonly diagnosed and commonly hereditary sensorimotor neuropathies. Concluding from the literature, this is the first study describing the case of a patient with CMT disease in the c.217G> C variant of the INF2 gene and focal segmental glomerulosclerosis. Aim. To present a case of a 16-year-old patient suffering from CMT disease in variant c.217G> C of the INF2 gene and focal glomerulosclerosis. Description of the case. The text describes the CMT disease in a patient who underwent the WES / WGS-NGS genetic test and found a mutation within the INF2 gene at the chromosomal position hg38 14: 104701582-G> C, cDNA level c.217 G> C , notation at the p protein level (Gly73Arg). Genotype record according to Human Genome Variation Society: NM_022489.4: c. [217G> C]; [217 =]. The publication includes data on genetics, molecular mechanisms of the disease, diagnostic methods, rehabilitation and surgical treatment. Conclusion. CMT disease is a heterogeneous group of diseases caused by mutations in various genes. The incidence of this pathology has increased significantly in the last century. Currently, there are no treatments available to combat this disease, and symptomatic treatment is the only treatment available.