ReviewGenomics, proteomics & bioinformatics2012
The curation of genetic variants: difficulties and possible solutions.
Review in Genomics, proteomics & bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- A graph-based approach to variant description extraction from sequences.NAR genomics and bioinformatics · 2025Article
- Variant curation and interpretation in hereditary cancer genes: An institutional experience in Latin America.Molecular genetics & genomic medicine · 2023Article
- A Boolean algebra for genetic variants.Bioinformatics (Oxford, England) · 2023Article
- The importance of automation in genetic diagnosis: Lessons from analyzing an inherited retinal degeneration cohort with the Mendelian Analysis Toolkit (MATK).Genetics in medicine : official journal of the American College of Medical Genetics · 2022Article
- Metabolic networks of the Nicotiana genus in the spotlight: content, progress and outlook.Briefings in bioinformatics · 2021Article
- Recent advances of automated methods for searching and extracting genomic variant information from biomedical literature.Briefings in bioinformatics · 2021Review
- Article
- Evaluation of both exonic and intronic variants for effects on RNA splicing allows for accurate assessment of the effectiveness of precision therapies.PLoS genetics · 2020Article
- Toward automation of germline variant curation in clinical cancer genetics.Genetics in medicine : official journal of the American College of Medical Genetics · 2019Article
- Patient-derived xenotransplants can recapitulate the genetic driver landscape of acute leukemias.Leukemia · 2017Article
- Pragmatic and Ethical Challenges of Incorporating the Genome into the Electronic Medical Record.Current genetic medicine reports · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The curation of genetic variants from biomedical articles is required for various clinical and research purposes. Nowadays, establishment of variant databases that include overall information about variants is becoming quite popular. These databases have immense utility, serving as a user-friendly information storehouse of variants for information seekers. While manual curation is the gold standard method for curation of variants, it can turn out to be time-consuming on a large scale thus necessitating the need for automation. Curation of variants described in biomedical literature may not be straightforward mainly due to various nomenclature and expression issues. Though current trends in paper writing on variants is inclined to the standard nomenclature such that variants can easily be retrieved, we have a massive store of variants in the literature that are present as non-standard names and the online search engines that are predominantly used may not be capable of finding them. For effective curation of variants, knowledge about the overall process of curation, nature and types of difficulties in curation, and ways to tackle the difficulties during the task are crucial. Only by effective curation, can variants be correctly interpreted. This paper presents the process and difficulties of curation of genetic variants with possible solutions and suggestions from our work experience in the field including literature support. The paper also highlights aspects of interpretation of genetic variants and the importance of writing papers on variants following standard and retrievable methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.