51 research outputs found

    Confidential genetic testing and electronic health records: A survey of current practices among Huntington disease testing centers

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    BACKGROUND: Clinical care teams providing presymptomatic genetic testing often employ advanced confidentiality practices for documentation and result storage. However, patient requests for increased confidentiality may be in conflict with the legal obligations of medical providers to document patient care activities in the electronic health record (EHR). Huntington disease presents a representative case study for investigating the ways centers currently balance the requirements of EHRs with the privacy demands of patients seeking presymptomatic genetic testing. METHODS: We surveyed 23 HD centers (53% response rate) regarding their use of the EHR for presymptomatic HD testing. RESULTS: Our survey revealed that clinical care teams and laboratories have each developed their own practices, which are cumbersome and often include EHR avoidance. We found that a majority of HD care teams record appointments in the EHR (91%), often using vague notes. Approximately half of the care teams (52%) keep presymptomatic results of out of the EHR. CONCLUSION: As genetic knowledge grows, linking more genes to late-onset conditions, institutions will benefit from having professional recommendations to guide development of policies for EHR documentation of presymptomatic genetic results. Policies must be sensitive to the ethical differences and patient demands for presymptomatic genetic testing compared to those undergoing confirmatory genetic testing

    Variation in pre-PCR processing of FFPE samples leads to discrepancies in BRAF and EGFR mutation detection: a diagnostic RING trial.

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    Aims Mutation detection accuracy has been described extensively; however, it is surprising that pre-PCR processing of formalin-fixed paraffin-embedded (FFPE) samples has not been systematically assessed in clinical context. We designed a RING trial to (i) investigate pre-PCR variability, (ii) correlate pre-PCR variation with EGFR/BRAF mutation testing accuracy and (iii) investigate causes for observed variation. Methods 13 molecular pathology laboratories were recruited. 104 blinded FFPE curls including engineered FFPE curls, cell-negative FFPE curls and control FFPE tissue samples were distributed to participants for pre-PCR processing and mutation detection. Follow-up analysis was performed to assess sample purity, DNA integrity and DNA quantitation. Results Rate of mutation detection failure was 11.9%. Of these failures, 80% were attributed to pre-PCR error. Significant differences in DNA yields across all samples were seen using analysis of variance (p<0.0001), and yield variation from engineered samples was not significant (p=0.3782). Two laboratories failed DNA extraction from samples that may be attributed to operator error. DNA extraction protocols themselves were not found to contribute significant variation. 10/13 labs reported yields averaging 235.8ng (95% CI 90.7 to 380.9) from cell-negative samples, which was attributed to issues with spectrophotometry. DNA measurements using Qubit Fluorometry demonstrated a median fivefold overestimation of DNA quantity by Nanodrop Spectrophotometry. DNA integrity and PCR inhibition were factors not found to contribute significant variation. Conclusions In this study, we provide evidence demonstrating that variation in pre-PCR steps is prevalent and may detrimentally affect the patient's ability to receive critical therapy. We provide recommendations for preanalytical workflow optimisation that may reduce errors in down-stream sequencing and for next-generation sequencing library generation

    ACMG clinical laboratory standards for next-generation sequencing

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    Next-generation sequencing technologies have been and continue to be deployed in clinical laboratories, enabling rapid transformations in genomic medicine. These technologies have reduced the cost of large-scale sequencing by several orders of magnitude, and continuous advances are being made. It is now feasible to analyze an individual's near-complete exome or genome to assist in the diagnosis of a wide array of clinical scenarios. Next-generation sequencing technologies are also facilitating further advances in therapeutic decision making and disease prediction for at-risk patients. However, with rapid advances come additional challenges involving the clinical validation and use of these constantly evolving technologies and platforms in clinical laboratories. To assist clinical laboratories with the validation of next-generation sequencing methods and platforms, the ongoing monitoring of next-generation sequencing testing to ensure quality results, and the interpretation and reporting of variants found using these technologies, the American College of Medical Genetics and Genomics has developed the following professional standards and guidelines

    Instability of a dinucleotide repeat in the 3′‐untranslated region (UTR) of the microsomal prostaglandin E synthase‐1 (mPGES‐1) gene in microsatellite instability‐high (MSI‐H) colorectal carcinoma

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    DNA mismatch-repair gene mutations, with consequent loss of functional protein expression, result in microsatellite instability (MSI). Microsatellite sequences are found in coding regions and in regulatory regions of genes (i.e., 5'-UTRs and 3'-UTRs). In addition to being a surrogate marker of defective mismatch repair, deletion or insertion microsatellite sequences can dysregulate gene expression in MSI-H (microsatellite instability-high) tumors. The microsomal prostaglandin E synthase-1 (mPGES-1) gene product, mPGES-1, participates in prostaglandin E2 (PGE2) production. Moreover, mPGES-1 is often overexpressed in human colorectal tumors, and is thought to contribute to progression of these tumors. Here we identified a dinucleotide repeat, (GT)24, in the mPGES-1 gene 3' untranslated region (3'-UTR), and analyzed its mutation frequencies in MSI-H and microsatellite stable (MSS) tumors. The (GT)24 repeat exhibited instability in all MSI-H tumors examined (14), but not in any of the MSS tumors (13). In most cases, (GT)24 repeat instability resulted in insertion of additional GT units. We also determined mPGES-1 mRNA levels in MSI-H and MSS colorectal cancer cell lines. Three of four previously designated "MSI-H" cell lines showed higher mPGES-1 mRNA levels compared to MSS cell lines; correlations between elevated mPGES-1 mRNA levels and microsatellite (GT)24 repeat characteristics are present for all six cell lines. Our results demonstrate that mPGES-1 is a target gene of defective mismatch repair in human colorectal cancer, with functional consequence

    Assessing the necessity of confirmatory testing for exome-sequencing results in a clinical molecular diagnostic laboratory.

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    PURPOSE: Sanger sequencing is currently considered the gold standard methodology for clinical molecular diagnostic testing. However, next-generation sequencing has already emerged as a much more efficient means to identify genetic variants within gene panels, the exome, or the genome. We sought to assess the accuracy of next-generation sequencing variant identification in our clinical genomics laboratory with the goal of establishing a quality score threshold for confirmatory Sanger-based testing. METHODS: Confirmation data for reported results from 144 sequential clinical exome-sequencing cases (94 unique variants) and an additional set of 16 variants from comparable research samples were analyzed. RESULTS: Of the 110 total single-nucleotide variants analyzed, 103 variants had a quality score ≥Q500, 103 (100%) of which were confirmed by Sanger sequencing. Of the remaining seven variants with quality score

    Lipoyltransferase 1 Gene Defect Resulting in Fatal Lactic Acidosis in Two Siblings

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    A term male neonate developed severe intractable lactic acidosis on day of life 1 and died the same day at our institution. The family previously lost another term, female newborn on day of life 1 from suspected sepsis at an outside hospital. After performing an autopsy on the neonate who died at our institution, extensive and lengthy neonatal and parental genetic testing, as well as biochemical analyses, and whole exome sequencing analysis identified compound heterozygous mutations in the lipoyltransferase 1 (LIPT1) gene responsible for the lipoylation of the 2-keto dehydrogenase complexes in the proband. These mutations were also identified in the deceased sibling. The clinical manifestations of these two siblings are consistent with those recently described in two unrelated families with lactic acidosis due to LIPT1 mutations, an underrecognized and underreported cause of neonatal death. Conclusions. Our observations contribute to the delineation of a new autosomal recessive metabolic disorder, leading to neonatal death. Our case report also highlights the importance of an interdisciplinary team in solving challenging cases
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