Three Newly Recognized Likely Pathogenic Gene Variants Associated with Hereditary Transthyretin Amyloidosis.

INTRODUCTION: Hereditary transthyretin amyloidosis (ATTRv [variant]) is a clinically heterogeneous, progressively debilitating, fatal disease resulting from the deposition of insoluble amyloid fibrils in various organs and tissues. Early diagnosis of ATTRv can be facilitated with genetic testing; however, such testing of the TTR gene identifies variants of uncertain significance (VUS) in a minority of cases, a small percentage of which have the potential to be pathogenic. The Akcea/Ambry VUS Initiative is dedicated to gathering molecular, clinical, and inheritance data for each TTR VUS identified by genetic testing programs to reclassify TTR variants to a clinically actionable status (e.g., variant likely pathogenic [VLP]) where appropriate. METHODS: Classification criteria used here, based on recommendations from the American College of Medical Genetics and Genomics, are stringent and comprehensive, requiring distinct lines of evidence supporting pathogenesis. RESULTS: Three TTR variants have been reclassified from VUS to VLP, including c.194C>T (p.A65V), c.172G>C (p.D58H), and c.239C>T (p.T80I). In each case, the totality of genetic, structural, and clinical evidence provided strong support for pathogenicity. CONCLUSIONS: Based on several lines of evidence, three TTR VUS were reclassified as VLP, resulting in a high likelihood of disease diagnosis for those and subsequent patients as well as at-risk family members.

Misattributed parentage identified through diagnostic exome sequencing: Frequency of detection and reporting practices.

Access to genetic testing, namely, diagnostic exome sequencing (DES), has significantly improved, subsequently increasing the likelihood of discovering incidental findings, such as misattributed relationships and specifically misattributed parentage (MP). Until the recently published ACMG statement, there had been no consensus for laboratories and clinicians to follow when addressing such findings. Family-based genomic testing is valuable for accurate variant interpretation but has the potential to uncover misattributed familial relationships. Here, we present the first published data on the frequency of MP identified through DES at a clinical laboratory. We also investigated clinicians' decisions on how to proceed with analysis, reporting, and disclosure. A database of 6,752 families who underwent parent-proband ('trio') DES was retrospectively reviewed for molecular identification of MP and clinicians' MP disclosure decisions. Among 6,752 trios, 39 cases of MP were detected (0.58%). Non-paternity was detected in all cases, and in one instance, non-maternity was also identified. All clinicians decided to proceed by omitting the MP individual from the analysis. Clinicians chose to proceed with duo analysis (87.2%), modify information on the report (74.4%), and communicate MP results to the mother (71.8%), suggesting a trend toward not disclosing to the putative father or proband. The data show that trio DES involves a chance of detecting MP and that clinician disclosure practices do not appear to routinely include direct disclosure to the putative father. MP identified in our parent-proband trios sent in for DES is lower than the reported frequency of MP in the general population due in part to ascertainment bias as families with known or suspected MP are presumably less likely to pursue trio testing. These data may inform laboratory policies and clinician practices for addressing incidental findings such as MP.

High-Density Blood Transcriptomics Reveals Precision Immune Signatures of SARS-CoV-2 Infection in Hospitalized Individuals.

The immune response to COVID-19 infection is variable. How COVID-19 influences clinical outcomes in hospitalized patients needs to be understood through readily obtainable biological materials, such as blood. We hypothesized that a high-density analysis of host (and pathogen) blood RNA in hospitalized patients with SARS-CoV-2 would provide mechanistic insights into the heterogeneity of response amongst COVID-19 patients when combined with advanced multidimensional bioinformatics for RNA. We enrolled 36 hospitalized COVID-19 patients (11 died) and 15 controls, collecting 74 blood PAXgene RNA tubes at multiple timepoints, one early and in 23 patients after treatment with various therapies. Total RNAseq was performed at high-density, with >160 million paired-end, 150 base pair reads per sample, representing the most sequenced bases per sample for any publicly deposited blood PAXgene tube study. There are 770 genes significantly altered in the blood of COVID-19 patients associated with antiviral defense, mitotic cell cycle, type I interferon signaling, and severe viral infections. Immune genes activated include those associated with neutrophil mechanisms, secretory granules, and neutrophil extracellular traps (NETs), along with decreased gene expression in lymphocytes and clonal expansion of the acquired immune response. Therapies such as convalescent serum and dexamethasone reduced many of the blood expression signatures of COVID-19. Severely ill or deceased patients are marked by various secondary infections, unique gene patterns, dysregulated innate response, and peripheral organ damage not otherwise found in the cohort. High-density transcriptomic data offers shared gene expression signatures, providing unique insights into the immune system and individualized signatures of patients that could be used to understand the patient's clinical condition. Whole blood transcriptomics provides patient-level insights for immune activation, immune repertoire, and secondary infections that can further guide precision treatment.