Evidence map›Paper›PMID 30371888›Full record

ArticleNucleic acids research2019

HmtVar: a new resource for human mitochondrial variations and pathogenicity data.

Roberto Preste, Ornella Vitale, Rosanna Clima, Giuseppe Gasparre, Marcella Attimonelli

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Roberto PresteDepartment of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, Bari 70126, Italy.
Ornella VitaleDepartment of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, Bari 70126, Italy.
Rosanna ClimaDepartment of Medical and Surgical Sciences - DIMEC, Medical Genetics Unit, University of Bologna, Bologna 40126, Italy.
Giuseppe GasparreDepartment of Medical and Surgical Sciences - DIMEC, Medical Genetics Unit, University of Bologna, Bologna 40126, Italy.
Marcella AttimonelliDepartment of Biosciences, Biotechnology and Biopharmaceutics, University of Bari, Bari 70126, Italy.

Funding

Worldwide Cancer Research 15-1144
6 · The paper itself

Abstract

Interest in human mitochondrial genetic data is constantly increasing among both clinicians and researchers, due to the involvement of mitochondrial DNA (mtDNA) in a number of physiological and pathological processes. Thanks to new sequencing technologies and modern databases, the large amount of information on mtDNA variability may be exploited to gain insights into the relationship between mtDNA variants, phenotypes and diseases. To facilitate this process, we have developed the HmtVar resource, a variant-focused database that allows the exploration of a dataset of over 40 000 human mitochondrial variants. Mitochondrial variation data, initially gathered from the HmtDB platform, are integrated with in-house pathogenicity assessments based on various evaluation criteria and with a set of additional annotations from third-party resources. The result is a comprehensive collection of information of crucial importance for human mitochondrial variation studies and investigation of common and rare diseases in which the mitochondrion may be involved. HmtVar is accessible at https://www.hmtvar.uniba.it and data may be retrieved using either a web interface through the Query page or a state-of-the-art API for programmatic access.

Indexed as

Databases, GeneticGenetic VariationComputational BiologyDatabases, Nucleic AcidDNA, MitochondrialGenes, MitochondrialGenetic Predisposition to DiseaseGenome, MitochondrialGenomicsHumansInternetMitochondriaMitochondrial DiseasesPhenotypeDNA, Mitochondrial

Identifiers

PMID30371888
PMCPMC6323908

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Registered trials

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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.