ArticleMolecular genetics & genomic medicine2020
A data and text mining pipeline to annotate human mitochondrial variants with functional and clinical information.
Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Finding Gene Associations by Text Mining and Annotating it with Gene Ontology.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation.Human mutation · 2020Article
- A data and text mining pipeline to annotate human mitochondrial variants with functional and clinical information.Molecular genetics & genomic medicine · 2020Article
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Authors and funding
4 authors.
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Abstract
backgroundHuman mitochondrial DNA has an important role in the cellular energy production through oxidative phosphorylation. Therefore, this process may be the cause and have an effect on mitochondrial DNA mutability, functional alteration, and disease onset related to a wide range of different clinical expressions and phenotypes. Although a large part of the observed variations is fixed in a population and hence expected to be benign, the estimation of the degree of the pathogenicity of any possible human mitochondrial DNA variant is clinically pivotal.
methodsIn this scenario, the establishment of standard criteria based on functional studies is required. In this context, a "data and text mining" pipeline is proposed here, developed using the programming language R, capable of extracting information regarding mitochondrial DNA functional studies and related clinical assessments from the literature, thus improving the annotation of human mitochondrial variants reported in the HmtVar database.
resultsThe data mining pipeline has produced a list of 1,073 Pubmed IDs (PMIDs) from which the text mining pipeline has retrieved information on 932 human mitochondrial variants regarding experimental validation and clinical features.
conclusionsThe application of the pipeline will contribute to supporting the interpretation of pathogenicity of human mitochondrial variants by facilitating diagnosis to clinicians and researchers faced with this task.
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