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At least 343 records · Page 19Linked to original sources

Mapping the de-implementation of traditional diagnostic tests in pediatric acute lymphoblastic leukemia.

INTRODUCTION: Advances in cancer diagnostics raise questions about when and how to de-implement traditional approaches; however, these processes remain poorly described. At St. Jude Children's Research Hospital (SJCRH), routine conventional cytogenetics for pediatric acute lymphoblastic leukemia (ALL) diagnosis was de-implemented in 2018 following adoption of clinical genomics. This study aimed to map this process to inform future diagnostic de-implementation initiatives. METHODS: Interviews were conducted with SJCRH staff involved or impacted by cytogenetics de-implementation. Data were analyzed using thematic and rapid qualitative analysis informed by the Consolidated Framework for Implementation Research. Member-checking was used to verify and refine process maps, which were subsequently reviewed by an external expert panel, representing diverse settings, through focus group discussions. RESULTS: Thirteen SJCRH clinicians participated. De-implementation was described as successful, with no negative impact on patient outcomes. Decision-making began with internal correlation studies that demonstrated superior diagnostic performance of clinical genomics. De-implementation was viewed as a natural evolution that improved molecular classification, resource allocation, and workflow efficiency. Perceived risks included loss of cytogenetics competency, delayed turnaround time, and career insecurity, all addressed institutionally. Lessons learned highlighted the importance of deliberate discussion about logic and evidence supporting de-implementation. Fifteen external experts offered suggestions to improve process map generalizability, highlighting institutional- and system-level considerations. CONCLUSION: De-implementation of cytogenetics in ALL in favor of clinical genomics was successful at SJCRH. This study offers an example of diagnostic de-implementation in cancer care and proposes a structured approach to guide future efforts. De-implementation should be considered alongside introduction of novel diagnostic approaches.

cancer diagnostics↗

Identification of bacteria using tandem mass spectrometry combined with a proteome database and statistical scoring.

Detection and identification of pathogenic bacteria and their protein toxins play a crucial role in a proper response to natural or terrorist-caused outbreaks of infectious diseases. The recent availability of whole genome sequences of priority bacterial pathogens opens new diagnostic possibilities for identification of bacteria by retrieving their genomic or proteomic information. We describe a method for identification of bacteria based on tandem mass spectrometric (MS/MS) analysis of peptides derived from bacterial proteins. This method involves bacterial cell protein extraction, trypsin digestion, liquid chromatography MS/MS analysis of the resulting peptides, and a statistical scoring algorithm to rank MS/MS spectral matching results for bacterial identification. To facilitate spectral data searching, a proteome database was constructed by translating genomes of bacteria of interest with fully or partially determined sequences. In this work, a prototype database was constructed by the automated analysis of 87 publicly available, fully sequenced bacterial genomes with the GLIMMER gene finding software. MS/MS peptide spectral matching for peptide sequence assignment against this proteome database was done by SEQUEST. To gauge the relative significance of the SEQUEST-generated matching parameters for correct peptide assignment, discriminant function (DF) analysis of these parameters was applied and DF scores were used to calculate probabilities of correct MS/MS spectra assignment to peptide sequences in the database. The peptides with DF scores exceeding a threshold value determined by the probability of correct peptide assignment were accepted and matched to the bacterial proteomes represented in the database. Sequence filtering or removal of degenerate peptides matched with multiple bacteria was then performed to further improve identification. It is demonstrated that using a preset criterion with known distributions of discriminant function scores and probabilities of correct peptide sequence assignments, a test bacterium within the 87 database microorganisms can be unambiguously identified.

Algorithms↗

An Update on Selected Giant Cell-Rich Tumors of Soft Tissue.

Giant cell-rich tumors of soft tissue present a significant diagnostic challenge due to pronounced morphological overlap, particularly in limited tissue samples. This review provides a streamlined update on the clinicopathological and molecular features of nine distinct entities: nodular fasciitis, juvenile xanthogranuloma, phosphaturic mesenchymal tumor, tenosynovial giant cell tumor, giant cell fibroblastoma, giant cell-rich solitary fibrous tumor, giant cell tumor of soft tissue, keratin-positive giant cell-rich tumor, and undifferentiated pleomorphic sarcoma. While these neoplasms are unified by a prominence of multinucleated giant cells, recent genomic insights have identified signature, diagnostically defining molecular drivers. We highlight characteristic gene fusions, including USP6, NTRK1, FN1, CSF1, COL1A1-PDGFB, NAB2-STAT6, and HMGA2-NCOR2, as well as entities characterized by non-recurrent or highly complex genomic alterations. Synthesizing these data, this review underscores the critical role of advanced molecular testing in resolving diagnostic ambiguities, refining tumor classification, and guiding targeted therapeutic strategies.

Humans↗

Nanopore-based, long-range Parvovirus B19 amplicon sequencing for near-whole genome characterization.

BACKGROUND: Whole-Genome Sequencing (WGS) enables monitoring of genomic variation and evaluation of diagnostic PCR assays. However, WGS data for Parvovirus B19 (B19V) remains limited despite its relevance for clinical care and transfusion safety. To increase the availability of high-quality B19V genomic data, a near-WGS protocol was developed and validated. METHOD: The protocol combines long-range PCR to generate a 4.6-kb amplicon, covering ∼82% of the B19V genome, with Oxford Nanopore sequencing. Validation was performed using six reference samples and nineteen B19V-positive donor plasma samples. RESULTS: After quality control, samples achieved a median sequencing depth of 152x. Sequences generated from the six reference samples showed 100% concordance with previously published data. Genomic analysis of donor samples explained atypical amplification profiles observed during routine PCR screening. CONCLUSION: The newly developed protocol provides a scalable method for B19V genome characterization, enabling assessment of oligonucleotide-binding regions for PCR assay monitoring and facilitating the generation of genomic data for future epidemiological investigations.

PCR assay monitoring↗

Characterization of Newcastle disease virus isolates by reverse transcription PCR coupled to direct nucleotide sequencing and development of sequence database for pathotype prediction and molecular epidemiological analysis.

Degenerate oligonucleotide primers were synthesized to amplify nucleotide sequences from portions of the fusion protein and matrix protein genes of Newcastle disease virus (NDV) genomic RNA that could be used diagnostically. These primers were used in a single-tube reverse transcription PCR of NDV genomic RNA coupled to direct nucleotide sequencing of the amplified product to characterize more than 30 NDV isolates. In agreement with previous reports, differences in the fusion protein cleavage sequence that correlated genotypically with virulence among various NDV pathotypes were detected. By using sequences generated from the matrix protein gene coding for the nuclear localization signal, lentogenic viruses were again grouped phylogenetically separate from other pathotypes. These techniques were applied to compare neurotropic velogenic viruses isolated from an outbreak of Newcastle disease in cormorants and turkeys. Cormorant NDV isolates and an NDV isolate from an infected turkey flock in North Dakota had the fusion protein cleavage sequence 109SRGRRQKRFVG119. The R-for-G substitution at position 110 may be unique for the cormorant-type isolates. Although the amino acid sequences from the fusion protein cleavage site were identical, nucleotide sequence data correlate the outbreak in turkeys to a cormorant virus isolate from Minnesota and not to a cormorant virus isolate from Michigan. On the basis of sequence information, the cormorant isolates are virulent viruses related to isolates of psittacine origin, possibly genotypically distinct from other velogenic NDV isolates. These techniques can be used reliably for Newcastle disease epidemiology and for prediction of pathotypes of NDV isolates without traditional live-bird inoculations.

Amino Acid Sequence↗

[Parvovirus B9 infection in a renal transplant recipient. Diagnosis by detection of viral genome in peripheral blood].

Parvovirus B19 can produce a picture known as pure red blood aplasia in recipients of solid organ. Occasionally the viruses cause decrease of the other blood cells, and various extra-hematologic manifestations. Common diagnosis is realised by bone marrow examination. The diagnostic value of the viral genome in the blood stream is not well defined. We reported the case of a male of 17 years of age, whose diagnosis was done by repeated determinations of the viral parvovirus B19 genome in peripheral blood. It was confirmed by a biopsy of the iliac crest. The patient was treated with unspecific IgG immunoglobulins, with complete recovery from the symptoms and signs. It did not have any recurrence of the disease. This case suggests that the realisation of PCR of Parvovirus B19 in renal transplant patients with pure red cell aplasia could be of greater interest in the diagnosis and monitoring of the disease. The detection of the viral genome could avoid the administration of unnecessary blood transfusions, and possibly the realization of bone marrow biopsy.

Adolescent↗

Psychiatric disease in the genomic era: rational approach.

Although the introduction of explicit diagnostic criteria and rule-based classifications, such as Research Diagnostic Criteria, Diagnostic and Statistical Manual Ed 3 and Ed 4, has dramatically influenced teaching and research psychiatric practice, it has significant limitations. As new knowledge is developed with genetic, imaging and metabolomic technologies, a method to incorporate this research in a systematic manner with current classification systems is needed. The current approach, which is essentially nominalist in character, has to be developed where new data and new concepts of disease can be integrated and tested. Examples of how this could happen is shown in the context of Alzheimer's disease and subcortical ischemic disease. It is likely that a standardized approach that can develop and modify classification systems in a timely manner, based on science and free of societal and political influence, can enhance research, teaching and clinical practice.

Alzheimer Disease↗

Automated selection of short tandem repeat polymorphism markers for whole genome screening for segmental aneusomy.

Current clinical diagnostic techniques for the detection of small duplications and deletions include microscopic cytogenetics with Giemsa banding and FISH. An alternative approach is to use genetic markers, to detect duplications and deletions. The application of this technique to the entire genome as a test for segmental aneusomy requires a method for selecting a panel of markers that could be used and an estimate of the statistical power. We have developed a computer program, DECIDE, that performs these tasks. Given an input map of markers, DECIDE generates a near optimal list of markers and estimates the probability of detecting monosomy or trisomy of varying physical size. We demonstrate the program on a large map of markers obtained from the Southampton and CEPH databases. We conclude that this approach to screening for duplications and deletions is theoretically possible and would have a power comparable to routine Giemsa-banded chromosome analysis.

Automation↗

Genetic Research on Cardiac Channelopathies in African and African-Descent Populations: A Scoping Review.

Cardiac channelopathies are inherited arrhythmias that can lead to sudden cardiac death. Despite Africa's extensive genomic diversity, African and African-descent populations remain underrepresented in genetic research, creating gaps in variant interpretation and clinical care. This scoping review aims to map the extent, range, and nature of genetic research on cardiac channelopathies in these populations and to identify key geographic, thematic, and methodological gaps. Using the Joanna Briggs Institute scoping review methodology and the Population-Concept-Context framework, systematic searches in PubMed, Embase, and Web of Science identified original human studies on cardiac channelopathies with genetic data. Extracted variables included study characteristics, populations, types of channelopathies, and reported genes and variants. Forty-four studies met the inclusion criteria. Most studies originated from the United States and South Africa, while West, Central, and East Africa were largely underrepresented. US Black individuals and South African individuals of continental African or African-descended ancestry (excluding populations of European descent such as Cape Afrikaner people) were the most studied groups, with other continental African groups rarely included. Long QT syndrome was the predominant focus, and SCN5A, KCNQ1, and KCNH2 were the most frequently analyzed genes. Many of the genetic variants discussed remained of uncertain significance due to limited functional validation and the underrepresentation of African genomes in reference databases. Genetic research on cardiac channelopathies in populations of African ancestry is limited, restricting variant interpretation, counseling, and risk prediction. Broader African inclusion, expanded gene screening, and functional studies are essential to improve diagnostics and promote equity in genomic medicine.

Humans↗

Whole-genome sequencing of 490,640 UK Biobank participants.

Whole-genome sequencing provides an unbiased and complete view of the human genome and enables the discovery of genetic variation without the technical limitations of other genotyping technologies. Here we report on whole-genome sequencing of 490,640 UK Biobank participants, building on previous genotyping effort1. This advance deepens our understanding of how genetics associates with disease biology and further enhances the value of this open resource for the study of human biology and health. Coupling this dataset with rich phenotypic data, we surveyed within- and cross-ancestry genomic associations and identified novel genetic and clinical insights. Although most associations with disease traits were primarily observed in individuals of European ancestries, strong or novel signals were also identified in individuals of African and Asian ancestries. With the improved ability to accurately genotype structural variants and exonic variation in both coding and UTR sequences, we strengthened and revealed novel insights relative to whole-exome sequencing2,3 analyses. This dataset, representing a large collection of whole-genome sequencing data that is available to the UK Biobank research community, will enable advances of our understanding of the human genome, facilitate the discovery of diagnostics and therapeutics with higher efficacy and improved safety profile, and enable precision medicine strategies with the potential to improve global health.

Humans↗

Spectrum of mutations in BRCA1, BRCA2, CHEK2, and TP53 in families at high risk of breast cancer.

CONTEXT: Genetic testing for inherited mutations in BRCA1 and BRCA2 has become integral to the care of women with a severe family history of breast or ovarian cancer, but an unknown number of patients receive negative (ie, wild-type) results when they actually carry a pathogenic BRCA1 or BRCA2 mutation. Furthermore, other breast cancer genes generally are not evaluated. OBJECTIVE: To determine the frequency and types of undetected cancer-predisposing mutations in BRCA1, BRCA2, CHEK2, TP53, and PTEN among patients with breast cancer from high-risk families with negative (wild-type) genetic test results for BRCA1 and BRCA2. DESIGN, SETTING, AND PARTICIPANTS: Between 2002-2005, probands from 300 US families with 4 or more cases of breast or ovarian cancer but with negative (wild-type) commercial genetic test results for BRCA1 and BRCA2 were screened by multiple DNA-based and RNA-based methods to detect genomic rearrangements in BRCA1 and BRCA2 and germline mutations of all classes in CHEK2, TP53, and PTEN. MAIN OUTCOME MEASURES: Previously undetected germline mutations in BRCA1, BRCA2, CHEK2, TP53, and PTEN that predispose to breast cancer; frequencies of these mutations among families with negative genetic test results. RESULTS: Of the 300 probands, 52 (17%) carried previously undetected mutations, including 35 (12%) with genomic rearrangements of BRCA1 or BRCA2, 14 (5%) with CHEK2 mutations, and 3 (1%) with TP53 mutations. At BRCA1 and BRCA2, 22 different genomic rearrangements were found, of sizes less than 1 kb to greater than 170 kb; of these, 14 were not previously described and all were individually rare. At CHEK2, a novel 5.6-kb genomic deletion was discovered in 2 families of Czechoslovakian ancestry. This deletion was found in 8 of 631 (1.3%) patients with breast cancer and in none of 367 healthy controls in the Czech and Slovak Republics. For all rearrangements, exact genomic breakpoints were determined and diagnostic primers validated. The 3 families with TP53 mutations included cases of childhood sarcoma or brain tumors in addition to multiple cases of breast cancer. CONCLUSIONS: The mutational spectra of BRCA1 and BRCA2 include many high-penetrance, individually rare genomic rearrangements. Among patients with breast cancer and severe family histories of cancer who test negative (wild type) for BRCA1 and BRCA2, approximately 12% can be expected to carry a large genomic deletion or duplication in one of these genes, and approximately 5% can be expected to carry a mutation in CHEK2 or TP53. Effective methods for identifying these mutations should be made available to women at high risk.

Adult↗

Impact of Human Genome Project on treatment of frail and edentulous patients.

OBJECTIVE: Because of ongoing increases in life expectancy and deferment of edentulousness to older age, dentists are facing a different challenge to satisfy elderly denture wearers with a higher prevalence of chronic diseases. This discussion introduces the Human Genome databases as novel and powerful resources to re-examine the core problems experienced by frail and edentulous patients. BACKGROUND: Recent studies demonstrated that mandibular implant overdentures do not necessarily increase masticatory function, perception and satisfaction in denture wearers with adequate edentulous residual ridges. It has been demonstrated that the rate of edentulous residual ridge resorption significantly varies among individuals. The prognosis and cost-effectiveness of denture treatment, with or without implants, may largely depend on how the edentulous ridge is maintained. However, reliable clinical methods permitting dentists to predict the long-term health of the edentulous residual ridge are lacking. MATERIALS AND METHODS: With the completion of the Human Genome Project, the genomic sequence database from this multinational consortium will provide a unique resource to determine the genetic basis of similarity and diversity of humans. RESULTS: One base pair in every 100 to 300 base pairs of the genome sequence varies among humans, suggesting that genetic diagnosis using the single nucleotide polymorphisms (SNPs) may provide a novel opportunity to differentiate our edentulous patients. CONCLUSIONS: Future dental service for the elderly will require a personalized care paradigm, using highly sensitive diagnostic technology such as SNP genomic analysis, for recommending the treatment with greatest potential benefit.

Aged↗

Nucleic acid amplification testing and genome sequencing for WHO priority viruses in Africa: a scoping review.

Emerging viruses continue to pose serious public health threats across Africa, with recurrent outbreaks exposing gaps in diagnostics and surveillance systems. Nucleic acid amplification tests (NAATs) and genome sequencing are increasingly important for diagnostics and outbreak responses; however, their routine implementation is fragmented. This scoping review examines NAATs and genome sequencing technologies for viral detection and surveillance in Africa from 2019 to 2024, mapped to the 2024 updated WHO R&D Blueprint for Epidemics pathogen priority list. We identified 117 studies from 34 African countries reporting applications across 20 virus families, including ten designated as priorities by WHO. PCR-based assays were the most frequently reported NAATs. Illumina platforms predominated sequencing, and Oxford Nanopore Technologies were commonly used in outbreak investigations. Genome sequencing applied to priority viruses was largely reactive. NAAT-capable mobile laboratories were reported in 13 countries. Our findings underscore the need for proactive integration of NAATs into diagnostic and surveillance systems to strengthen decentralised testing, sustain genomic surveillance beyond outbreak periods, and improve early detection and preparedness for viral threats.

Journal Article↗

Technology platforms for pharmacogenomic diagnostic assays.

Rapid advances in the understanding of genomic variation affecting drug responses, and the development of multiplex assay technologies, are converging to form the basis for new in vitro diagnostic assays. These molecular diagnostic assays are expected to guide the therapeutic treatment of many diseases, by informing physicians about molecular subtypes of disease that require differential treatment, which drug has the greatest probability of effectively managing the disease, and which individual patients are at the highest risk of experiencing adverse reactions to a given drug therapy. This article reviews some of the relative strengths and limitations of the most widely used technologies and platforms for such assays.

Animals↗

Nested retrotransposons in the intergenic regions of the maize genome.

The relative organization of genes and repetitive DNAs in complex eukaryotic genomes is not well understood. Diagnostic sequencing indicated that a 280-kilobase region containing the maize Adh1-F and u22 genes is composed primarily of retrotransposons inserted within each other. Ten retroelement families were discovered, with reiteration frequencies ranging from 10 to 30,000 copies per haploid genome. These retrotransposons accounted for more than 60 percent of the Adh1-F region and at least 50 percent of the nuclear DNA of maize. These elements were largely intact and are dispersed throughout the gene-containing regions of the maize genome.

Chromosomes, Artificial, Yeast↗

SURE-Pipe: a pipeline to compare genomes and extract shared and unique regions.

Identification of unique and shared genomic regions between organisms has substantial translational potential for the development of marker-based diagnostic assays and sequence homology-driven taxonomic classification. An automated pipeline capable of performing genome comparisons at both the intra- and inter-species levels with minimal computational requirements can significantly advance genome-driven translational research. Species-specific genomic regions are particularly valuable for sequence-based species identification and for developing DNA amplification- or hybridization-based diagnostic assays. Here, we present SURE-Pipe, an automated and flexible pipeline for genome comparison and extraction of unique and shared genomic regions (https://github.com/BPaul-bioinfoLAB/SURE-Pipe). Benchmarking of this pipeline using simulated datasets demonstrated high accuracy for shared and unique region identification. Using the pairwise genome comparison module, six genome pairs from diverse microorganisms were analysed, and identified the unique and shared regions. In addition, the multigenome comparison module was applied to 96 genomes representing 24 Bacillus species and identified species-specific genomic regions. These regions were highly conserved among four strains of a species (>98% sequence identity) and exhibit little to no similarity with other species. Species-specific primers designed for all 24 Bacillus species showed no off-target amplification in in-silico polymerase chain reaction analysis, indicating their specificity. Overall, SURE-Pipe provides a robust and multipurpose framework for comparative genomics, and the outcomes can be used for species identification and the development of genome-based diagnostic approaches.

Genome, Bacterial↗