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Evaluation of a 5‐Tier Scheme Proposed for Classification of Sequence Variants Using Bioinformatic and Splicing Assay Data: Inter‐Reviewer Variability and Promotion of Minimum Reporting Guidelines

Overview of attention for article published in Human Mutation, August 2013
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Title
Evaluation of a 5‐Tier Scheme Proposed for Classification of Sequence Variants Using Bioinformatic and Splicing Assay Data: Inter‐Reviewer Variability and Promotion of Minimum Reporting Guidelines
Published in
Human Mutation, August 2013
DOI 10.1002/humu.22388
Pubmed ID
Authors

Logan C. Walker, Phillip J. Whiley, Claude Houdayer, Thomas V. O. Hansen, Ana Vega, Marta Santamarina, Ana Blanco, Laura Fachal, Melissa C. Southey, Alan Lafferty, Mara Colombo, Giovanna De Vecchi, Paolo Radice, Amanda B. Spurdle, on behalf of the ENIGMA consortium

Abstract

Splicing assays are commonly undertaken in the clinical setting to assess the clinical relevance of sequence variants in disease predisposition genes. A 5-tier classification system incorporating both bioinformatic and splicing assay information was previously proposed as a method to provide consistent clinical classification of such variants. Members of the ENIGMA Consortium Splicing Working Group undertook a study to assess the applicability of the scheme to published assay results, and the consistency of classifications across multiple reviewers. Splicing assay data were identified for 235 BRCA1 and 176 BRCA2 unique variants, from 77 publications. At least six independent reviewers from research and/or clinical settings comprehensively examined splicing assay methods and data reported for 22 variant assays of 21 variants in four publications, and classified the variants using the 5-tier classification scheme. Inconsistencies in variant classification occurred between reviewers for 17 of the variant assays. These could be attributed to a combination of ambiguity in presentation of the classification criteria, differences in interpretation of the data provided, nonstandardized reporting of results, and the lack of quantitative data for the aberrant transcripts. We propose suggestions for minimum reporting guidelines for splicing assays, and improvements to the 5-tier splicing classification system to allow future evaluation of its performance as a clinical tool.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 20%
Student > Ph. D. Student 9 18%
Other 8 16%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Other 8 16%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 36%
Biochemistry, Genetics and Molecular Biology 11 22%
Medicine and Dentistry 10 20%
Business, Management and Accounting 2 4%
Chemistry 1 2%
Other 0 0%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 July 2013.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Human Mutation
#2,580
of 2,982 outputs
Outputs of similar age
#158,609
of 208,901 outputs
Outputs of similar age from Human Mutation
#29
of 34 outputs
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