Mitochondrial “dysmorphology” in variant classification

2021 ◽  
Author(s):  
Hanan E. Shamseldin ◽  
Amal Alhashem ◽  
Brahim Tabarki ◽  
Firdous Abdulwahab ◽  
Mais Hashem ◽  
...  
Author(s):  
Christopher M. Richmond ◽  
Paul A. James ◽  
Sarah-Jane Pantaleo ◽  
Belinda Chong ◽  
Sebastian Lunke ◽  
...  

2017 ◽  
Vol 20 (3) ◽  
pp. 374-375
Author(s):  
Aarti Ramdaney ◽  
Diane M Dunn ◽  
Robert B Weiss ◽  
Nancy C Rose

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1885
Author(s):  
Francesca Cristofoli ◽  
Elisa Sorrentino ◽  
Giulia Guerri ◽  
Roberta Miotto ◽  
Roberta Romanelli ◽  
...  

Variant interpretation is challenging as it involves combining different levels of evidence in order to evaluate the role of a specific variant in the context of a patient’s disease. Many in-depth refinements followed the original 2015 American College of Medical Genetics (ACMG) guidelines to overcome subjective interpretation of criteria and classification inconsistencies. Here, we developed an ACMG-based classifier that retrieves information for variant interpretation from the VarSome Stable-API environment and allows molecular geneticists involved in clinical reporting to introduce the necessary changes to criterion strength and to add or exclude criteria assigned automatically, ultimately leading to the final variant classification. We also developed a modified ACMG checklist to assist molecular geneticists in adjusting criterion strength and in adding literature-retrieved or patient-specific information, when available. The proposed classifier is an example of integration of automation and human expertise in variant curation, while maintaining the laboratory analytical workflow and the established bioinformatics pipeline.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5794-5794
Author(s):  
Shruthi Mohan ◽  
Kristy Lee ◽  
Manuel Carcao ◽  
Bhavya S Doshi ◽  
Kate Downes ◽  
...  

The genetics of blood coagulation has been an ongoing area of research; and with the advent of next generation sequencing panels, there is a significant increase in the number of variants identified in coagulation factor genes. Several published reports and online databases document the variants observed in patients with bleeding disorders; however, the clinical interpretation of these variants is not always straight-forward. To enable gene-specific variant interpretation in coagulation factor deficiency disorders, the National Institutes of Health (NIH)-funded effort, Clinical Genome Resource (ClinGen), has developed the Coagulation Factor Deficiency Variant Curation Expert Panel (CFD-VCEP). The CFD-VCEP is comprised of expert clinicians, genetic counselors, clinical laboratory diagnosticians and researchers working toward the goal of developing and implementing standardized protocols for sequence variant interpretation for coagulation factor genes. The CFD-VCEP adapts the 2015 American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines for precise and consistent variant classification to genes involved in blood coagulation deficiencies. These guidelines recommend the use of 28 criteria codes based on the evidence category and the strength of the evidence (see Figure below). The first two genes under the purview of CFD-VCEP are F8 (OMIM: 300841) and F9 (OMIM: 300746). Pathogenic variants in the F8 and F9 genes resulting in the loss of protein function cause Hemophilia A and B, respectively. Owing to the similarity between these two genes with respect to their role in the coagulation cascade as well as the resulting phenotype, specification of variant curation guidelines for both genes has been undertaken simultaneously. With the completion of guideline specification for F8 and F9, the CFD-VCEP will subsequently continue this effort for other coagulation factor genes, while also curating F8 and F9 variants reported in ClinVar and other variant databases. Modifying the ACMG/AMP guidelines involves gene- and disease-informed specifications of the recommended criteria codes. This includes identifying which codes are applicable and which are not, defining gene- and disease-specific cut-offs such as for population frequency, and making code strength adjustments when appropriate. The specified guidelines are further refined based on their performance on a set of pilot variants (n = 30) for each gene compared to existing assertions of variant classification in ClinVar and by diagnostic laboratories represented in the CFD-VCEP. F8 and F9 variants classified by the CFD-VCEP will be submitted to ClinVar at the 3-star review status, with the tag of "FDA-recognized database", and the CFD-VCEP plans to begin this process by the second quarter of 2020. The considerations by the CFD-VCEP in the guideline-specification process and results from the pilot analysis will be discussed. This effort will lead to the standardized use of evidence criteria for the evaluation of variants in F8 and F9, which will reduce the number of variants of uncertain significance and those of conflicting interpretations, making genetic testing results more informative for providers and patients. The CFD-VCEP also encourages sharing de-identified data on variants among laboratories, which enables accurate and consistent curations. Figure Disclosures Lee: UNC Hemophilia Treatment Center: Employment. Carcao:Biotest: Honoraria, Membership on an entity's Board of Directors or advisory committees; Grifols: Honoraria, Membership on an entity's Board of Directors or advisory committees; Shire/Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; CSL Behring: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novo Nordisk Inc: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Octapharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Agios: Research Funding; LFB: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bioverativ/Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kemball-Cook:European Association for Haemophilia and Allied Disorders: Other: Freelance . Leebeek:CSL Behring: Research Funding; uniQure BV: Consultancy, Research Funding; Baxalta/Shire: Research Funding. Miller:Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention: Consultancy.


2015 ◽  
Vol 25 (3) ◽  
pp. 305-315 ◽  
Author(s):  
Laura M. Amendola ◽  
Michael O. Dorschner ◽  
Peggy D. Robertson ◽  
Joseph S. Salama ◽  
Ragan Hart ◽  
...  

2019 ◽  
Vol 22 (3) ◽  
pp. 670-671 ◽  
Author(s):  
Tracy Brandt ◽  
Laura M. Sack ◽  
Dolores Arjona ◽  
Duanjun Tan ◽  
Hui Mei ◽  
...  

2019 ◽  
Vol 22 (2) ◽  
pp. 336-344 ◽  
Author(s):  
Tracy Brandt ◽  
Laura M. Sack ◽  
Dolores Arjona ◽  
Duanjun Tan ◽  
Hui Mei ◽  
...  

2018 ◽  
Vol 29 ◽  
pp. vii71
Author(s):  
Udo Schmidt-Edelkraut ◽  
Elena Ioana Braicu ◽  
Sajo Kaduthanam ◽  
Salvador Santiago-Mozos ◽  
Markus Hartenfeller ◽  
...  

2020 ◽  
Vol 13 (5) ◽  
pp. 453-459
Author(s):  
Connor L. Mattivi ◽  
J. Martijn Bos ◽  
Richard D. Bagnall ◽  
Natalie Nowak ◽  
John R. Giudicessi ◽  
...  

Background: Missense variants in the MYH7 -encoded MYH7 (beta myosin heavy chain 7) represent a leading cause of hypertrophic cardiomyopathy (HCM). MYH7 -specific American College of Medical Genetics and Genomics (ACMG) variant classification guidelines were released recently but have yet to be assessed independently. We set out to assess the performance of the MYH7 -specific ACMG guidelines and determine if the addition of phenotype-enhanced criteria (PE-ACMG) using the HCM Genotype Predictor Score can further reduce the burden of variants of uncertain significance (VUS). Methods: Re-assessment was performed on 70 MYH7 -variants in 121 unique patients from Mayo Clinic, and an independent cohort of 54 variants in 70 patients from Royal Prince Alfred Hospital (Australia). Qualifying variants were re-adjudicated using both standard ACMG and MYH7 -ACMG guidelines, and HCM Genotype Predictor Score was used to provide a validated measure of strength of clinical phenotype to be incorporated into the MYH7 -ACMG framework. Results: Among Mayo Clinic identified variants, 11/70 (16%) were classified as pathogenic (P), 10/70 (14%) as likely pathogenic, and 49/70 (70%) as a VUS. A similar distribution was seen in the Australian patients (12/54 [22%] P, 12/54 [22%] likely pathogenic, and 30/54 [56%] VUS; P =not significant). Application of the MYH7 -ACMG resulted in a nonsignificant reduction of the VUS burden in both cohorts from 49/70 to 39/70 (56%; P =0.1; Mayo Clinic) and from 30/54 to 20/54 (37%; P =0.1; Australia). Using the combined PE-MYH7-ACMG framework, the VUS decreased significantly from 49 to 27 ( P <0.001, Mayo Clinic) and from 30 to 16 ( P <0.001; Australia). Conclusions: Use of the MYH7 -specific guidelines alone failed to significantly decrease VUS burden in 2 independent cohorts. However, a significant reduction in VUS burden was observed after the addition of phenotypic criteria. Using a patient’s strength of sarcomeric HCM phenotype for variant adjudication can increase significantly the clinical utility of genetic testing for patients with HCM.


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