scholarly journals Next-Generation Sequencing Gene Panels and “Solo” Clinical Exome Sequencing Applied in Structurally Abnormal Fetuses

2021 ◽  
pp. 1-11
Author(s):  
Montse Pauta ◽  
Berta Campos ◽  
Maria Segura-Puimedon ◽  
Gemma Arca ◽  
Alfons Nadal ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Exome Sequencing ◽  
Diagnostic Yield ◽  
Monogenic Disease ◽  
Chromosomal Microarray Analysis ◽  
Next Generation ◽  
Clinical Exome Sequencing ◽  
Gene Panels ◽  
Generation Sequencing ◽  
Structural Anomalies

<b><i>Objective:</i></b> The aim of the study was to assess the diagnostic yield of 2 different next-generation sequencing (NGS) approaches: gene panel and “solo” clinical exome sequencing (solo-CES), in fetuses with structural anomalies and normal chromosomal microarray analysis (CMA), in the absence of a known familial mutation. <b><i>Methodology:</i></b> Gene panels encompassing from 2 to 140 genes, were applied mainly in persistent nuchal fold/fetal hydrops and in large hyperechogenic kidneys. Solo-CES, which entails sequencing the fetus alone and only interpreting the Online Mendelian Inheritance in Man genes, was performed in multisystem or recurrent structural anomalies. <b><i>Results:</i></b> During the study period (2015–2020), 153 NGS studies were performed in 148 structurally abnormal fetuses with a normal CMA. The overall diagnostic yield accounted for 35% (53/153) of samples and 36% (53/148) of the fetuses. Diagnostic yield with the gene panels was 31% (15/49), similar to 37% (38/104) in solo-CES. <b><i>Conclusions:</i></b> A monogenic disease was established as the underlying cause in 35% of selected fetal structural anomalies by gene panels and solo-CES.

scholarly journals Next-Generation Sequencing in the Field of Primary Immunodeficiencies: Current Yield, Challenges, and Future Perspectives

2021 ◽  
Author(s):  
Emil E. Vorsteveld ◽  
Alexander Hoischen ◽  
Caspar I. van der Made
Keyword(s):  
Next Generation Sequencing ◽  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Diagnostic Yield ◽  
Primary Immunodeficiencies ◽  
Next Generation ◽  
Inborn Errors ◽  
New Genes ◽  
Whole Exome ◽  
Generation Sequencing

AbstractPrimary immunodeficiencies comprise a group of inborn errors of immunity that display significant clinical and genetic heterogeneity. Next-generation sequencing techniques and predominantly whole exome sequencing have revolutionized the understanding of the genetic and molecular basis of genetic diseases, thereby also leading to a sharp increase in the discovery of new genes associated with primary immunodeficiencies. In this review, we discuss the current diagnostic yield of this generic diagnostic approach by evaluating the studies that have employed next-generation sequencing techniques in cohorts of patients with primary immunodeficiencies. The average diagnostic yield for primary immunodeficiencies is determined to be 29% (range 10–79%) and 38% specifically for whole-exome sequencing (range 15–70%). The significant variation between studies is mainly the result of differences in clinical characteristics of the studied cohorts but is also influenced by varying sequencing approaches and (in silico) gene panel selection. We further discuss other factors contributing to the relatively low yield, including the inherent limitations of whole-exome sequencing, challenges in the interpretation of novel candidate genetic variants, and promises of exploring the non-coding part of the genome. We propose strategies to improve the diagnostic yield leading the way towards expanded personalized treatment in PIDs.

scholarly journals Next Generation Sequencing in Pediatric Epilepsy Using Customized Panels: Size Matters

2020 ◽  
Author(s):  
Eva-Katharina Willimsky ◽  
Anna Munzig ◽  
Karin Mayer ◽  
Saskia Biskup ◽  
Angela Abicht ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Diagnostic Yield ◽  
Unknown Etiology ◽  
Pediatric Epilepsy ◽  
Next Generation ◽  
Large Panels ◽  
Pathogenic Variants ◽  
Gene Panels ◽  
Patients With Epilepsy ◽  
Generation Sequencing

Abstract Introduction Next generation sequencing (NGS) with customized gene panels is a helpful tool to identify monogenic epilepsy syndromes. The number of genes tested within a customized panel may vary greatly. The aim of the present study was to compare the diagnostic yield of small (<25 kb) and large (>25 kb) customized epilepsy panels. Methods This retrospective cohort study investigated data of 190 patients of 18 years or younger, with the diagnosis of an epilepsy of unknown etiology who underwent NGS using customized gene panels. Small (<25 kb) and large (>25 kb) panels were compared regarding the distribution of benign/likely benign and pathogenic/likely pathogenic variants and variants of unclear significance. In addition, differences of the diagnostic yield with respect to epilepsy severity, i.e., developmental and epileptic encephalopathy [DEE] vs. non-DEE, were analyzed. Results The diagnostic yield defined as pathogenic or likely pathogenic variants in large panels was significantly increased (29% [n = 14/48] vs. 13% [n = 18/142], p = 0.0198) compared with smaller panels. In non-DEE patients the increase of the diagnostic yield in large panels was significant(35% n = 6/17 vs. 13% n = 12/94, p = 0.0378), which was not true for DEE patients. Discussion This study indicates that large panels are superior for pediatric patients with epilepsy forms without encephalopathy (non-DEE). For patients suffering from DEE small panels of a maximum of 10 genes seem to be sufficient. The proportion of unclear findings increases with rising panel sizes. Conclusion Customized epilepsy panels of >25 kb compared with smaller panels show a significant higher diagnostic yield in patients with epilepsy especially in non-DEE patients.

scholarly journals Diagnostic yield of targeted next generation sequencing in 2002 Dutch cardiomyopathy patients

2021 ◽  
Author(s):  
Mohamed Z. Alimohamed ◽  
LennartF. Johansson ◽  
Anna Posafalvi ◽  
Ludolf G. Boven ◽  
Krista K. van Dijk ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Diagnostic Yield ◽  
Next Generation ◽  
Targeted Next Generation Sequencing ◽  
Generation Sequencing

High diagnostic yield of syndromic intellectual disability by targeted next-generation sequencing

2016 ◽  
Vol 54 (2) ◽  
pp. 87-92 ◽  
Author(s):  
Francisco Martínez ◽  
Alfonso Caro-Llopis ◽  
Mónica Roselló ◽  
Silvestre Oltra ◽  
Sonia Mayo ◽  
...  
Keyword(s):  
Intellectual Disability ◽  
Next Generation Sequencing ◽  
Diagnostic Yield ◽  
Next Generation ◽  
Targeted Next Generation Sequencing ◽  
High Diagnostic Yield ◽  
Generation Sequencing

scholarly journals Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0170843 ◽  
Author(s):  
Holly LaDuca ◽  
Kelly D. Farwell ◽  
Huy Vuong ◽  
Hsiao-Mei Lu ◽  
Wenbo Mu ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Exome Sequencing ◽  
Next Generation ◽  
Targeted Next Generation Sequencing ◽  
Generation Sequencing

scholarly journals Targeted next generation sequencing identifies a genetic spectrum of DNA variants in patients with hemiplegic migraine

2019 ◽  
Vol 2 ◽  
pp. 251581631988163 ◽  
Author(s):  
Neven Maksemous ◽  
Robert A Smith ◽  
Heidi G Sutherland ◽  
Bridget H Maher ◽  
Omar Ibrahim ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Diagnostic Yield ◽  
Next Generation ◽  
Hemiplegic Migraine ◽  
Targeted Next Generation Sequencing ◽  
Variants Of Unknown Significance ◽  
High Mutation Frequency ◽  
Unknown Significance ◽  
Atp1a2 Gene ◽  
Generation Sequencing

Objective: Hemiplegic migraine in both familial (FHM) and sporadic (SHM) forms is a rare subtype of migraine with aura that can be traced to mutations in the CACNA1A, ATP1A2 and SCN1A genes. It is characterised by severe attacks of typical migraine accompanied by hemiparesis, as well as episodes of complex aura that vary significantly between individuals. Methods: Using a targeted next generation sequencing (NGS) multigene panel, we have sequenced the genomic DNA of 172 suspected hemiplegic migraine cases, in whom no mutation had previously been found by Sanger sequencing (SS) of a limited number of exons with high mutation frequency in FHM genes. Results: Genetic screening identified 29 variants, 10 of which were novel, in 35 cases in the three FHM genes ( CACNA1A, ATP1A2 and SCN1A). Interestingly, in this suspected HM cohort, the ATP1A2 gene harboured the highest number of variants with 24/35 cases (68.6%), while CACNA1A ranked the second gene, with 5 variants identified in 7/35 cases (20%). All detected variants were confirmed by SS and were absent in 100 non-migraine healthy control individuals. Assessment of variants with the American College of Medical Genetics and Genomics guidelines classified 8 variants as pathogenic, 3 as likely pathogenic and 18 as variants of unknown significance. Targeted NGS gene panel increased the diagnostic yield by fourfold over iterative SS in our diagnostics facility. Conclusion: We have identified 29 potentially causative variants in an Australian and New Zealand cohort of suspected HM cases and found that the ATP1A2 gene was the most commonly mutated gene. Our results suggest that screening using NGS multigene panels to investigate ATP1A2 alongside CACNA1A and SCN1A is a clinically useful and efficient method.

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