Diagnostic yield of advanced genetic testing in patients with hereditary neuropathies: a retrospective single‐site study

2021 ◽  
Author(s):  
Kevin J. Felice ◽  
Charles H. Whitaker ◽  
Sadaf Khorasani
Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Pier D Lambiase ◽  
Juan C Kaski ◽  
Eileen Firman ◽  
Perry M Elliott ◽  
Akbar K Ahmed ◽  
...  

Introduction: Sudden arrhythmic death syndrome (SADS) arises through disorders of ion channel function or structural heart disease. It accounts for over 400 deaths in the UK per annum. To date there has been no comprehensive analysis of the diagnostic yield and efficacy of a family screening approach in SADS index cases where the post mortem heart is structurally normal after expert pathological review. Methods: 118 SADS families where the SADS victim died between 1 and 35 years of age were evaluated in a systematic family screening programme between 2003–2006. All SADS index cases had a structurally normal heart after expert review of all available tissue. All studied relatives underwent resting, signal averaged ECG, 24h Holter, exercise ECG with V0 2 max, transthoracic echocardiography and an ajmaline challenge test after initial clinical screening. Systematic mutation analysis was performed on the known long QT (LQT)genes including SCN5A & ryanodine receptor/ARVC genes when clinically suspected. Results: The most common modes of death were rest in 28%, sleep in 25% and exercise in 18%. Clinical screening identified an inherited electrical cause of SADS in 41 of the 118 families (35%)-20 Brugada, 18 LQT Syndrome, 3 Catecholiminergic Polymorphic Ventricular Tachycardia (CPVT). Structural heart disease was identified in 5 ARVC & 2 DCM families. 26 ICDs have been implanted in affected family members-4 LQTS, 7 Brugada, 2 CPVT, 2 ARVC, 2 DCM and 9 on clinical grounds without a definitive diagnosis. The ECG (37%) and ajmaline challenge test (49%) had the highest diagnostic yield in families with a positive diagnosis. To date, genetic testing has increased the diagnostic yield by 5% (6/118 families-2 KCNQ1, 1 HERG, 2 SCN5A, 1 ARVC ), confirming a clinical diagnosis in 6.6%–3 KCNQ1, 3 SCN5A, 1 HERG, 1 KCNH2. Conclusions: Systematic clinical screening in relatives of SADS victims has a diagnostic yield of 35% increasing to 40% with genetic testing. Electrical causes of SADS predominate in these families. These findings demonstrate that a systematic clinical screening programme in SADS families is both achievable and effective. The full impact of gene testing (including RyR mutations) upon diagnostic yield is awaited.


2018 ◽  
Vol 37 (4) ◽  
pp. S334
Author(s):  
H. Boen ◽  
B. Loeys ◽  
J. Saenen ◽  
I. Goovaerts ◽  
L. Van Laer ◽  
...  

2015 ◽  
Vol 33 (28_suppl) ◽  
pp. 16-16
Author(s):  
Nimmi S. Kapoor ◽  
Lisa D. Curcio ◽  
Carlee A. Blakemore ◽  
Amy K. Bremner ◽  
Rachel E. McFarland ◽  
...  

16 Background: Recently introduced multi-gene panel testing including BRCA1 and BRCA2 genes (BRCA1/2) for hereditary cancer risk has raised concerns with the ability to detect all deleterious BRCA1/2 mutations compared to older methods of sequentially testing BRCA1/2 separately. The purpose of this study is to evaluate rates of pathogenic BRCA1/2mutations and variants of uncertain significance (VUS) between previous restricted algorithms of genetic testing and newer approaches of multi-gene testing. Methods: Data was collected retrospectively from 966 patients who underwent genetic testing at one of three sites from a single institution. Test results were compared between patients who underwent BRCA1/2testing only (limited group, n = 629) to those who underwent multi-gene testing with 5-43 cancer-related genes (panel group, n = 337). Results: Deleterious BRCA1/2 mutations were identified in 37 patients, with equivalent rates between limited and panel groups (4.0% vs 3.6%, respectively, p = 0.86). Thirty-nine patients had a BRCA1/2 VUS, with similar rates between limited and panel groups (4.5% vs 3.3%, respectively, p = 0.49). On multivariate analysis, there was no difference in detection of either BRCA1/2 mutations or VUS between both groups. Of patients undergoing panel testing, an additional 3.9% (n = 13) had non-BRCA pathogenic mutations and 13.4% (n = 45) had non-BRCA VUSs. Mutations in PALB2, CHEK2, and ATM were the most common non-BRCA mutations identified. Conclusions: Multi-gene panel testing detects pathogenic BRCA1/2 mutations at equivalent rates as limited testing and increases the diagnostic yield. Panel testing increases the VUS rate, mainly due to non-BRCA genes. Patients at risk for hereditary breast cancer can safely benefit from upfront, more efficient, multi-gene panel testing.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 1525-1525
Author(s):  
Gregory Idos ◽  
Allison W. Kurian ◽  
Charite Nicolette Ricker ◽  
Duveen Sturgeon ◽  
Julie Culver ◽  
...  

1525 Background: Genetic testing is a powerful tool for stratifying cancer risk. Multiplex gene panel (MGP) testing allows simultaneous analysis of multiple high- and moderate- penetrance genes. However, the diagnostic yield and clinical utility of panels remain to be further delineated. Methods: A report of a fully accrued trial (N = 2000) of patients undergoing cancer-risk assessment. Patients were enrolled in a multicenter prospective cohort study where diagnostic yield and off-target mutation detection was evaluated of a 25 gene MGP comprised of APC, ATM, BARD1, BMPR1A, BRCA1, BRCA2, BRIP1, CDH1, CDK4, CDKN2A, CHEK2, EPCAM, MLH1, MSH2, MSH6, MUTYH, NBN, PALB2, PMS2, PTEN, RAD51C, RAD51D, SMAD4, STK11, TP53. Patients were enrolled if they met standard testing guidelines or were predicted to have a ≥2.5% mutation probability by validated models. Differential diagnoses (DDx) were generated after expert clinical genetics assessment, formulating up to 8 inherited cancer syndromes ranked by estimated likelihood. Results: 1998/2000 patients had reported MGP test results. Women constituted 81% of the sample, and 40% were Hispanic; 241 tested positive for at least 1 pathogenic mutation (12.1%) and 689 (34.5%) patients carried at least 1 variant of uncertain significance. The most frequently identified mutations were in BRCA1 (17%, n = 41), BRCA2 (15%, n = 36), APC (8%, n = 19), CHEK2 (7%, n = 17), ATM (7%, n = 16). 39 patients (16%) had at least 1 pathogenic mutation in a mismatch repair (MMR) gene ( MLH1, n = 10; MSH2, n = 10; MSH6, n = 8; PMS2, n = 11). 43 individuals (18%) had MUTYH mutations – 41 were monoallelic. Among 19 patients who had mutations in APC – 16 were APC I1307K. Only 65% (n = 159) of PV results were included in the DDx, with 35% (n = 86) of mutations not clinically suspected. Conclusions: In a diverse cohort, multiplex panel use increased genetic testing yield substantially: 35% carried pathogenic mutations in unsuspected genes, suggesting a significant contribution of expanded multiplex testing to clinical cancer risk assessment. The identification of off-target mutations broadens our understanding of cancer risk and genotype-phenotype correlations. Follow-up is ongoing to assess the clinical utility of multiplex gene panel testing. Clinical trial information: NCT02324062.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 1092-1092
Author(s):  
Stephen E Lincoln ◽  
Kingshuk Das ◽  
Nhu Ngo ◽  
Sarah M. Nielsen ◽  
Scott T. Michalski ◽  
...  

1092 Background: Germline genetic testing is recommended for breast cancer patients with specific presentations or family histories. Separately, tumor DNA sequencing is increasingly used to inform therapy, most often in patients with advanced disease. Recent NCCN and ESMO guidelines recommend germline testing following somatic testing, under specific circumstances and for specific genes. We examined the utility of germline findings in patients referred for both test modalities. Methods: We reviewed somatic and germline mutations in a consecutive series of patients who: (a) had a current or previous breast cancer diagnosis, (b) were referred for germline testing, and (c) previously received tumor sequencing. Diverse reasons for germline testing included: a tumor finding of potential germline origin, treatment or surgical planning, personal or family history, and patient concern. Results: 227 patients met study criteria of whom 88 (39%) harbored a pathogenic germline variant (PGV) in a high or moderate risk cancer predisposition gene. Mutations in certain genes were most likely to be of germline origin, and most PGVs were potentially actionable (Table). 13% of PGVs were not reported by tumor tests as either germline or somatic findings, usually a result of tumor test limitations. Of note, 27 of the patients with PGVs (31%) had these variants uncovered only after presenting with a second, possibly preventable, malignancy. Conclusions: Germline testing following tumor sequencing often yielded findings that may impact care. Indeed, the 39% PGV rate we observed suggests that such testing may be underutilized. We observed actionable PGVs missed by somatic tests, PGVs uncovered in patients’ second malignancies, and PGVs not within germline reflex testing criteria. These results reinforce the utility of germline testing separate from somatic testing in appropriate patients. [Table: see text]


2017 ◽  
Vol 24 (6) ◽  
pp. 1184-1191 ◽  
Author(s):  
Rajeswari Swaminathan ◽  
Yungui Huang ◽  
Caroline Astbury ◽  
Sara Fitzgerald-Butt ◽  
Katherine Miller ◽  
...  

Abstract The increased adoption of clinical whole exome sequencing (WES) has improved the diagnostic yield for patients with complex genetic conditions. However, the informatics practice for handling information contained in whole exome reports is still in its infancy, as evidenced by the lack of a common vocabulary within clinical sequencing reports generated across genetic laboratories. Genetic testing results are mostly transmitted using portable document format, which can make secondary analysis and data extraction challenging. This paper reviews a sample of clinical exome reports generated by Clinical Laboratory Improvement Amendments–certified genetic testing laboratories at tertiary-care facilities to assess and identify common data elements. Like structured radiology reports, which enable faster information retrieval and reuse, structuring genetic information within clinical WES reports would help facilitate integration of genetic information into electronic health records and enable retrospective research on the clinical utility of WES. We identify elements listed as mandatory according to practice guidelines but are currently missing from some of the clinical reports, which might help to organize the data when stored within structured databases. We also highlight elements, such as patient consent, that, although they do not appear within any of the current reports, may help in interpreting some of the information within the reports. Integrating genetic and clinical information would assist the adoption of personalized medicine for improved patient care and outcomes.


2020 ◽  
Author(s):  
Deanna G Brockman ◽  
Christina A Austin-Tse ◽  
Renée C Pelletier ◽  
Caroline Harley ◽  
Candace Patterson ◽  
...  

Abstract Purpose: To evaluate the diagnostic yield and clinical utility of clinical genome sequencing (cWGS) as a first genetic test for patients with suspected monogenic disorders. Methods: We conducted a prospective randomized study with pediatric and adult patients recruited from genetics clinics at Massachusetts General Hospital who were undergoing planned genetic testing. Participants were randomized into two groups: standard-of-care genetic testing (SOC) only or SOC and cWGS. Results: 204 participants were enrolled and 99 received cWGS. cWGS returned 23 molecular diagnoses in 20 individuals: A diagnostic yield of 20% (20/99, 95%CI 12.3-28.1%)), which was not significantly different from SOC (17%, 95%CI 9.7%-24.6%, P=0.584). 19/23 cWGS diagnoses provided an explanation for clinical features or were considered worthy of additional workup by referring providers. While cWGS detected all variants reported by SOC, SOC failed to capture 9/23 cWGS diagnoses; primarily due to genes not included in SOC tests. Turnaround time was significantly shorter for SOC compared to cWGS (33.9 days vs 87.2 days, P<0.05). Conclusions: cWGS is technically suitable as a first genetic test and identified clinically relevant variants not captured by SOC. However, further studies addressing other variant types and implementation challenges are needed to support feasibility of its broad-scale adoption.


PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0255933
Author(s):  
Kimberly Gall ◽  
Emanuela Izzo ◽  
Eija H. Seppälä ◽  
Kirsi Alakurtti ◽  
Lotta Koskinen ◽  
...  

Epilepsy is one of the most common childhood-onset neurological conditions with a genetic etiology. Genetic diagnosis provides potential for etiologically-based management and treatment. Existing research has focused on early-onset (<24 months) epilepsies; data regarding later-onset epilepsies is limited. The goal of this study was to determine the diagnostic yield of a clinically available epilepsy panel in a selected pediatric epilepsy cohort with epilepsy onset between 24–60 months of life and evaluate whether this approach decreases the age of diagnosis of neuronal ceroid lipofuscinosis type 2 (CLN2). Next-generation sequencing (NGS)-based epilepsy panels, including genes associated with epileptic encephalopathies and inborn errors of metabolism (IEMs) that present with epilepsy, were used. Copy-number variant (CNV) detection from NGS data was included. Variant interpretation was performed per American College of Medical Genetics and Genomics (ACMG) guidelines. Results are reported from 211 consecutive patients with the following inclusion criteria: 24–60 months of age at the time of enrollment, first unprovoked seizure at/after 24 months, and at least one additional finding such as EEG/MRI abnormalities, speech delay, or motor symptoms. Median age was 42 months at testing and 30 months at first seizure onset; the mean delay from first seizure to comprehensive genetic testing was 10.3 months. A genetic diagnosis was established in 43 patients (20.4%). CNVs were reported in 25.6% diagnosed patients; 27.3% of CNVs identified were intragenic. Within the diagnosed cohort, 11 (25.6%) patients were diagnosed with an IEM. The predominant molecular diagnosis was CLN2 (14% of diagnosed patients). For these patients, diagnosis was achieved 12–24 months earlier than reported by natural history of the disease. This study supports comprehensive genetic testing for patients whose first seizure occurs ≥ 24 months of age. It also supports early application of testing in this age group, as the identified diagnoses can have significant impact on patient management and outcome.


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