Existing approaches to managing genetic and genomic test results from external laboratories typically include filing of text reports within the electronic health record, making them unavailable in many cases for clinical decision support. Even when structured computable results are available, the lack of adopted standards requires considerations for processing the results into actionable knowledge, in addition to storage and management of the data. Here, we describe the design and implementation of an ancillary genomics system used to receive and process heterogeneous results from external laboratories, which returns a descriptive phenotype to the electronic health record in support of pharmacogenetic clinical decision support.
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http://dx.doi.org/10.1093/jamia/ocy187 | DOI Listing |
Genome Med
January 2025
Hereditary Cancer Group, Oncobell Program, Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), Av. Gran Via 199-203, L'Hospitalet del Llobregat, 08908, Spain.
Background: Germline heterozygous pathogenic variants (PVs) in TP53 cause Li-Fraumeni syndrome (LFS), a condition associated with increased risk of multiple tumor types. As the associated cancer risks were refined over time, clinical criteria also evolved to optimize diagnostic yield. The implementation of multi-gene panel germline testing in different clinical settings has led to the identification of TP53 PV carriers outside the classic LFS-associated cancer phenotypes, leading to a broader cancer phenotypic redefinition and to the renaming of the condition as "heritable TP53-related cancer syndrome" (hTP53rc).
View Article and Find Full Text PDFExpert Rev Mol Diagn
January 2025
Department of Pathology, Yale University School of Medicine, New Haven.
Introduction: Gestational trophoblastic disease (GTD) encompasses a constellation of rare to common gynecologic conditions stemming from aberrant gestations with distinct genetic backgrounds and variable degrees of trophoblast proliferation of either neoplastic or non-neoplastic nature. GTD is categorized into hydatidiform moles and gestational trophoblastic neoplasms, and their clinical outcomes vary widely across different subtypes. Prompt and accurate diagnosis plays a pivotal role in the effective management and prognostication of patients.
View Article and Find Full Text PDFBMC Biol
January 2025
Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Background: Plant mitochondrial genomes (mitogenomes) exhibit extensive structural variation yet extremely low nucleotide mutation rates, phenomena that remain only partially understood. The genus Gossypium, a globally important source of cotton, offers a wealth of long-read sequencing resources to explore mitogenome and plastome variation and dynamics accompanying the evolutionary divergence of its approximately 50 diploid and allopolyploid species.
Results: Here, we assembled 19 mitogenomes from Gossypium species, representing all genome groups (diploids A through G, K, and the allopolyploids AD) based on a uniformly applied strategy.
Arch Pathol Lab Med
December 2024
Hematopathology and Transfusion Medicine, University Health Network, Toronto, Ontario, Canada (Xia).
Context.—: Small biopsies are used for histologic, immunophenotypic, cytogenetic, molecular genetic, and other ancillary studies. Occasionally, this diagnostic tissue is exhausted before molecular testing can be performed.
View Article and Find Full Text PDFCytojournal
November 2024
Department of Pathology and Genomic Medicine, Houston Methodist, Houston, Texas, USA.
Objective: Diagnosing neoplasms of the salivary gland is challenging, as morphologic features of these tumors are complex, and well-defined diagnostic categories have overlapping features. Many salivary gland neoplasms are associated with recurrent genetic alterations. The utilization of RNA-based targeted next-generation sequencing (NGS) panels for the detection of cancer-driving translocations and mutations is emerging in the clinical laboratory.
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