scholarly journals Brief Report: Evaluating the Diagnostic Yield of Commercial Gene Panels in Autism

Author(s):  
Fiana Ní Ghrálaigh ◽  
Ellen McCarthy ◽  
Daniel N. Murphy ◽  
Louise Gallagher ◽  
Lorna M. Lopez

AbstractAutism is a prevalent neurodevelopmental condition, highly heterogenous in both genotype and phenotype. This communication adds to existing discussion of the heterogeneity of clinical sequencing tests, “gene panels”, marketed for application in autism. We evaluate the clinical utility of available gene panels based on existing genetic evidence. We determine that diagnostic yields of these gene panels range from 0.22% to 10.02% and gene selection for the panels is variable in relevance, here measured as percentage overlap with SFARI Gene and ranging from 15.15% to 100%. We conclude that gene panels marketed for use in autism are currently of limited clinical utility, and that sequencing with greater coverage may be more appropriate.

2021 ◽  
Vol 51 ◽  
pp. e155
Author(s):  
Fiana Ní Ghrálaigh ◽  
Thomas J. Dinneen ◽  
Ellen McCarthy ◽  
Daniel N. Murphy ◽  
Louise Gallagher ◽  
...  

2021 ◽  
pp. jmedgenet-2020-107303
Author(s):  
Leslie Patricia Molina-Ramírez ◽  
Claire Kyle ◽  
Jamie M Ellingford ◽  
Ronnie Wright ◽  
Algy Taylor ◽  
...  

PurposeThe increased adoption of genomic strategies in the clinic makes it imperative for diagnostic laboratories to improve the efficiency of variant interpretation. Clinical exome sequencing (CES) is becoming a valuable diagnostic tool, capable of meeting the diagnostic demand imposed by the vast array of different rare monogenic disorders. We have assessed a clinician-led and phenotype-based approach for virtual gene panel generation for analysis of targeted CES in patients with rare disease in a single institution.MethodsRetrospective survey of 400 consecutive cases presumed by clinicians to have rare monogenic disorders, referred on singleton basis for targeted CES. We evaluated diagnostic yield and variant workload to characterise the usefulness of a clinician-led approach for generation of virtual gene panels that can incorporate up to three different phenotype-driven gene selection methods.ResultsAbnormalities of the nervous system (54.5%), including intellectual disability, head and neck (19%), skeletal system (16%), ear (15%) and eye (15%) were the most common clinical features reported in referrals. Combined phenotype-driven strategies for virtual gene panel generation were used in 57% of cases. On average, 7.3 variants (median=5) per case were retained for clinical interpretation. The overall diagnostic rate of proband-only CES using personalised phenotype-driven virtual gene panels was 24%.ConclusionsOur results show that personalised virtual gene panels are a cost-effective approach for variant analysis of CES, maintaining diagnostic yield and optimising the use of resources for clinical genomic sequencing in the clinic.


Author(s):  
Arnab Kumar Maity ◽  
Sang Chan Lee ◽  
Linhan Hu ◽  
Deborah Bell-pederson ◽  
Bani K. Mallick ◽  
...  

Radiology ◽  
2016 ◽  
Vol 280 (3) ◽  
pp. 735-742 ◽  
Author(s):  
Adam K. Haste ◽  
Brian L. Brewer ◽  
Scott D. Steenburg

2021 ◽  
Author(s):  
Astrid J Rodriguez-Acevedo ◽  
Louisa G Gordon ◽  
Nicola Waddell ◽  
Georgina Hollway ◽  
Lata Vadlamudi

Evaluating genes involved in the pharmacodynamics and pharmacokinetics of epilepsy drugs is critical to better understand pharmacoresistant epilepsy. We reviewed the pharmacogenetics literature on six antiseizure medicines (carbamazepine, perampanel, lamotrigine, levetiracetam, sodium valproate and zonisamide) and compared the genes found with those present on epilepsy gene panels using a functional annotation pathway analysis. Little overlap was found between the two gene lists; pharmacogenetic genes are mainly involved in detoxification processes, while epilepsy panel genes are involved in cell signaling and gene expression. Our work provides support for a specific pharmacoresistant epilepsy gene panel to assist antiseizure medicine selection, enabling personalized approaches to treatment. Future efforts will seek to include this panel in genomic analyses of pharmacoresistant patients, to determine clinical utility and patient treatment responses.


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