Diagnostic performance, stability, and acceptability of self-collected saliva without additives for SARS-CoV-2 molecular diagnosis.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the coronavirus disease 2019 (COVID-19), leading to a global pandemic. The molecular diagnosis of this virus is mostly performed by collecting upper respiratory samples, which has many disadvantages, including patient discomfort and the need for trained healthcare professionals. Although saliva has emerged as a more comfortable sample, the use of additives to preserve viral RNA is expensive and, in some cases, difficult for self-collection. METHOD: This study evaluated the diagnostic performance by RT-PCR and stability of self-collected saliva using wide-mouth specimen collection cups without stabilization and/or inactivation buffers for SARS-CoV-2 detection, compared to nasopharyngeal samples and saliva collected with additives. Additionally, the study assessed the acceptability of this sample collection method among participants and healthcare personnel. RESULTS: The study included 1281 volunteers with a 24.6% positive infection rate. Saliva demonstrated comparable diagnostic performance to nasopharyngeal samples, with a sensitivity of 87.6% and specificity of 99.6%, for a total percent agreement of 96.4%. The study also showed that viral RNA in saliva remained stable for at least 72 h at different temperatures. Notably, saliva samples without additives exhibited a lower RdRp Ct compared to samples with additives, suggesting that the absence of stabilization and/or inactivation buffers does not significantly affect its performance. The study highlighted the acceptability of saliva among patients and healthcare personnel due to its noninvasive nature and ease of collection. CONCLUSIONS: This research supports the implementation of self-collected saliva as a comfortable and user-friendly alternative sample for SARS-CoV-2 diagnosis.

An Algorithm Addressing the Problem of Overdiagnosis of Clostridioides difficile Infections in Hematopoietic Stem Cell Transplantation Recipients: Effects on C. difficile Infection Rates and Patient Outcomes.

Diarrhea of other causes and Clostridioides difficile colonization are common in patients hospitalized for hematopoietic stem cell transplantation (HSCT). It has been well recognized that these issues tend to decrease the specificity of stool testing for C. difficile infection (CDI). The best way to address this problem is uncertain. In September 2018, we initiated a project with the goal of addressing the apparent problem of overdiagnosis of CDIs in our HSCT population. Using the quality improvement tool Model for Improvement, we introduced a C. difficile stool testing and CDI diagnosis algorithm with the aim of decreasing unnecessary inpatient CDI diagnoses and treatments. In this study, we examined the effects of the algorithm. We reviewed all HSCT admissions for the 2 years before introduction of the algorithm and the subsequent 3 years, recording all stool submissions for C. difficile determination and CDI. At the close of the study, we recruited our advanced practice providers (APPs) to review all CDIs following algorithm initiation and provide feedback on the ease of use of the algorithm and potential improvements to the overall process. Stool submissions for C. difficile determination decreased from 38.0/1000 to 20.6/1000 inpatient days (P < .001) and CDI diagnoses decreased from 5.5/1000 to 2.4/1000 days (P = .007). Patients admitted for a first allogeneic HSCT, first autologous HSCT, or HSCT readmission showed similar proportionate reductions. No detrimental effects on hospital length of stay, overall survival, progression-free survival, rate of readmission post-HSCT, incidence of acute graft-versus-host disease, or incidence of recurrent CDI were noted following algorithm introduction. A strategy of education, monitoring/feedback, and ease of algorithm access proved effective in inducing provider compliance. APPs rated the algorithm high on ease of use. We conclude that the use of an algorithm defining criteria for C. difficile testing, diagnosis, and treatment was associated with significantly decreased CDI diagnoses on a HSCT inpatient unit without apparent adverse effects.

Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes.

Germline variants in tumor suppressor genes (TSGs) can result in RNA mis-splicing and predisposition to cancer. However, identification of variants that impact splicing remains a challenge, contributing to a substantial proportion of patients with suspected hereditary cancer syndromes remaining without a molecular diagnosis. To address this, we used capture RNA-sequencing (RNA-seq) to generate a splicing profile of 18 TSGs (APC, ATM, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MLH1, MSH2, MSH6, MUTYH, NF1, PALB2, PMS2, PTEN, RAD51C, RAD51D, and TP53) in 345 whole-blood samples from healthy donors. We subsequently demonstrated that this approach can detect mis-splicing by comparing splicing profiles from the control dataset to profiles generated from whole blood of individuals previously identified with pathogenic germline splicing variants in these genes. To assess the utility of our TSG splicing profile to prospectively identify pathogenic splicing variants, we performed concurrent capture DNA and RNA-seq in a cohort of 1000 patients with suspected hereditary cancer syndromes. This approach improved the diagnostic yield in this cohort, resulting in a 9.1% relative increase in the detection of pathogenic variants, demonstrating the utility of performing simultaneous DNA and RNA genetic testing in a clinical context.

Clinical validity assessment of genes for inclusion in multi-gene panel testing: A systematic approach.

BACKGROUND: Advances in sequencing technology have led to expanded use of multi-gene panel tests (MGPTs) for clinical diagnostics. Well-designed MGPTs must balance increased detection of clinically significant findings while mitigating the increase in variants of uncertain significance (VUS). To maximize clinical utililty, design of such panels should include comprehensive gene vetting using a standardized clinical validity (CV) scoring system. METHODS: To assess the impact of CV-based gene vetting on MGPT results, data from MGPTs for cardiovascular indications were retrospectively analyzed. Using our CV scoring system, genes were categorized as having definitive, strong, moderate, or limited evidence. The rates of reported pathogenic or likely pathogenic variants and VUS were then determined for each CV category. RESULTS: Of 106 total genes, 42% had definitive, 17% had strong, 29% had moderate, and 12% had limited CV. The detection rate of variants classified as pathogenic or likely pathogenic was higher for genes with greater CV, while the VUS rate showed an inverse relationship with CV score. No pathogenic or likely pathogenic findings were observed in genes with a limited CV. CONCLUSION: These results demonstrate the importance of a standardized, evidence-based vetting process to establish CV for genes on MGPTs. Using our proposed system may help to increase the detection rate while mitigating higher VUS rates.

Enhanced utility of family-centered diagnostic exome sequencing with inheritance model-based analysis: results from 500 unselected families with undiagnosed genetic conditions.

PURPOSE: Diagnostic exome sequencing was immediately successful in diagnosing patients in whom traditional technologies were uninformative. Herein, we provide the results from the first 500 probands referred to a clinical laboratory for diagnostic exome sequencing. METHODS: Family-based exome sequencing included whole-exome sequencing followed by family inheritance-based model filtering, comprehensive medical review, familial cosegregation analysis, and analysis of novel genes. RESULTS: A positive or likely positive result in a characterized gene was identified in 30% of patients (152/500). A novel gene finding was identified in 7.5% of patients (31/416). The highest diagnostic rates were observed among patients with ataxia, multiple congenital anomalies, and epilepsy (44, 36, and 35%, respectively). Twenty-three percent of positive findings were within genes characterized within the past 2 years. The diagnostic rate was significantly higher among families undergoing a trio (37%) as compared with a singleton (21%) whole-exome testing strategy. CONCLUSION: Overall, we present results from the largest clinical cohort of diagnostic exome sequencing cases to date. These data demonstrate the utility of family-based exome sequencing and analysis to obtain the highest reported detection rate in an unselected clinical cohort, illustrating the utility of diagnostic exome sequencing as a transformative technology for the molecular diagnosis of genetic disease.

Clinical report of a 17q12 microdeletion with additionally unreported clinical features.

Copy number variations involving the 17q12 region have been associated with developmental and speech delay, autism, aggression, self-injury, biting and hitting, oppositional defiance, inappropriate language, and auditory hallucinations. We present a tall-appearing 17-year-old boy with marfanoid habitus, hypermobile joints, mild scoliosis, pectus deformity, widely spaced nipples, pes cavus, autism spectrum disorder, intellectual disability, and psychiatric manifestations including physical and verbal aggression, obsessive-compulsive behaviors, and oppositional defiance. An echocardiogram showed borderline increased aortic root size. An abdominal ultrasound revealed a small pancreas, mild splenomegaly with a 1.3 cm accessory splenule, and normal kidneys and liver. A testing panel for Marfan, aneurysm, and related disorders was negative. Subsequently, a 400 K array-based comparative genomic hybridization (aCGH) + SNP analysis was performed which identified a de novo suspected pathogenic deletion on chromosome 17q12 encompassing 28 genes. Despite the limited number of cases described in the literature with 17q12 rearrangements, our proband's phenotypic features both overlap and expand on previously reported cases. Since syndrome-specific DNA sequencing studies failed to provide an explanation for this patient's unusual habitus, we postulate that this case represents an expansion of the 17q12 microdeletion phenotype. Further analysis of the deleted interval is recommended for new genotype-phenotype correlations.

Patient decisions for disclosure of secondary findings among the first 200 individuals undergoing clinical diagnostic exome sequencing.

PURPOSE: Exome sequencing of a single individual for a clinical indication may result in the identification of incidental deleterious variants unrelated to the indication for testing (secondary findings). Given the recent availability of clinical exome testing, there is a limited knowledge regarding the disclosure preferences and impact of secondary findings in a clinical diagnostic setting. In this article, we provide preliminary data regarding the preferences for secondary findings results disclosure based on the first 200 families referred to Ambry Genetics for diagnostic exome sequencing. METHODS: Secondary findings were categorized into four groups in the diagnostic exome sequencing consent: carrier status of recessive disorders, predisposition to later-onset disease, predisposition to increased cancer risk, and early-onset disease. In this study, we performed a retrospective analysis of patient responses regarding the preferences for secondary findings disclosure. RESULTS: The majority of patients (187/200; 93.5%) chose to receive secondary results for one or more available categories. Adult probands were more likely than children to opt for blinding of secondary data (16 vs. 4%, respectively). Among responses for blinding, preferences were evenly scattered among categories. CONCLUSION: These data represent the unprecedented results of a large reference laboratory providing clinical exome sequencing. We report, for the first time, the preferences of patients and families for the receipt of secondary findings based on clinical genome sequencing. Overwhelmingly, families undergoing exome sequencing opt for the disclosure of secondary findings. The data may have implications regarding the development of guidelines for secondary findings reporting among patients with severe and/or life-threatening disease undergoing clinical genomic sequencing.