Clinical interpretation of DNA sequence variants is a critical step in reporting clinical genetic testing results. Application of next-generation sequencing technology in molecular genetic testing has facilitated diagnoses of genetic disorders in clinical practice. However, the large number of DNA sequence variants detected in clinical specimens, many of which have never been seen before, make clinical interpretation challenging. Recommendations by the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) have been widely adopted by clinical laboratories around the world to guide clinical interpretation of sequence variants. The ClinGen Sequence Variant Interpretation Working Group and various disease-specific variant curation expert panels have also developed specifications for the ACMG/AMP recommendations. Despite these efforts to standardize variant interpretation in clinical practice, different laboratories may subjectively use professional judgment to determine which criteria are applicable when classifying a variant. In addition, clinicians and researchers who are not familiar with the variant interpretation process may have difficulty understanding clinical genetic reports and communicating the clinical significance of genetic testing results. Here we provide a step-by-step protocol for clinical interpretation of sequence variants, including practical examples. By following this protocol, clinical laboratory geneticists can interpret the clinical significance of sequence variants according to the ACMG/AMP recommendations and ClinGen framework. Furthermore, this article will help clinicians and researchers to understand variant classification in clinical genetic testing reports and evaluate the quality of the reports. © 2020 by John Wiley & Sons, Inc. Basic Protocol: Interpreting the clinical significance of sequence variants Support Protocol: Reevaluating the clinical significance of sequence variants.
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http://dx.doi.org/10.1002/cphg.98 | DOI Listing |
Hereditas
January 2025
Key Laboratory of Reproductive Health Diseases Research and Translation of Ministry of Education & Key Laboratory of Human Reproductive Medicine and Genetic Research of Hainan Provincie & Hainan Provincial Clinical Research Center for Thalassemia, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, Hainan, 571101, China.
Background: The dynein cytoplasmic two heavy chain 1 (DYNC2H1) gene encodes a cytoplasmic dynein subunit. Cytoplasmic dyneins transport cargo towards the minus end of microtubules and are thus termed the "retrograde" cellular motor. Mutations in DYNC2H1 are the main causative mutations of short rib-thoracic dysplasia syndrome type III with or without polydactyly (SRTD3).
View Article and Find Full Text PDFBMC Genomics
January 2025
Department of Virology, Norwegian Institute of Public Health, Oslo, 0456, Norway.
The COVID-19 pandemic has underscored the importance of virus surveillance in public health and wastewater-based epidemiology (WBE) has emerged as a non-invasive, cost-effective method for monitoring SARS-CoV-2 and its variants at the community level. Unfortunately, current variant surveillance methods depend heavily on updated genomic databases with data derived from clinical samples, which can become less sensitive and representative as clinical testing and sequencing efforts decline.In this paper, we introduce HERCULES (High-throughput Epidemiological Reconstruction and Clustering for Uncovering Lineages from Environmental SARS-CoV-2), an unsupervised method that uses long-read sequencing of a single 1 Kb fragment of the Spike gene.
View Article and Find Full Text PDFSci Rep
January 2025
Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies, Moscow, Russia, 125315.
With the development of next-generation sequencing (NGS) technologies it became possible to simultaneously analyze millions of variants. Despite the quality improvement, it is generally still required to confirm the variants before reporting. However, in recent years the dominant idea is that one could define the quality thresholds for "high quality" variants which do not require orthogonal validation.
View Article and Find Full Text PDFJ Nephrol
January 2025
Department of Nephrology and Transplantation, Beaumont Hospital, Dublin, Ireland.
Background: Autosomal Dominant Polycystic Kidney Disease (ADPKD) represents the most common monogenic cause of kidney failure. While identifying genetic variants predicts disease progression, characterization of recently described ADPKD-like variants is limited. We explored disease progression and genetic spectrum of genetically-confirmed ADPKD families with PKD1 and non-PKD1 variants.
View Article and Find Full Text PDFResolving the molecular basis of a Mendelian condition remains challenging owing to the diverse mechanisms by which genetic variants cause disease. To address this, we developed a synchronized long-read genome, methylome, epigenome and transcriptome sequencing approach, which enables accurate single-nucleotide, insertion-deletion and structural variant calling and diploid de novo genome assembly. This permits the simultaneous elucidation of haplotype-resolved CpG methylation, chromatin accessibility and full-length transcript information in a single long-read sequencing run.
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