Evidence map›Paper›PMID 28640805›Full record

ArticlePLoS computational biology2017

High-confidence assessment of functional impact of human mitochondrial non-synonymous genome variations by APOGEE.

Stefano Castellana, Caterina Fusilli, Gianluigi Mazzoccoli, Tommaso Biagini, Daniele Capocefalo, Massimo Carella, Angelo Luigi Vescovi, Tommaso Mazza

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

40 citing papers in PubMed, 79 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Stefano CastellanaIRCCS Casa Sollievo della Sofferenza, Bioinformatics unit, San Giovanni Rotondo (FG), Italy.ORCID http://orcid.org/0000-0001-8688-9530
Caterina FusilliIRCCS Casa Sollievo della Sofferenza, Bioinformatics unit, San Giovanni Rotondo (FG), Italy.ORCID http://orcid.org/0000-0001-7497-0657
Gianluigi MazzoccoliIRCCS Casa Sollievo della Sofferenza, Department of Medical Sciences, Division of Internal Medicine, San Giovanni Rotondo (FG), Italy.
Tommaso BiaginiIRCCS Casa Sollievo della Sofferenza, Bioinformatics unit, San Giovanni Rotondo (FG), Italy.
Daniele CapocefaloIRCCS Casa Sollievo della Sofferenza, Bioinformatics unit, San Giovanni Rotondo (FG), Italy.ORCID http://orcid.org/0000-0001-7849-837X
Massimo CarellaIRCCS Casa Sollievo della Sofferenza, Medical Genetics unit, San Giovanni Rotondo (FG), Italy.
Angelo Luigi VescoviIRCSS Casa Sollievo della Sofferenza, ISBReMIT- Institute for Stem Cell Biology, Regenerative Medicine and Innovative Therapies, San Giovanni Rotondo (FG), Italy.
Tommaso MazzaIRCCS Casa Sollievo della Sofferenza, Bioinformatics unit, San Giovanni Rotondo (FG), Italy.ORCID http://orcid.org/0000-0003-0434-8533
Casa Sollievo della Sofferenza · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

24,189 are all the possible non-synonymous amino acid changes potentially affecting the human mitochondrial DNA. Only a tiny subset was functionally evaluated with certainty so far, while the pathogenicity of the vast majority was only assessed in-silico by software predictors. Since these tools proved to be rather incongruent, we have designed and implemented APOGEE, a machine-learning algorithm that outperforms all existing prediction methods in estimating the harmfulness of mitochondrial non-synonymous genome variations. We provide a detailed description of the underlying algorithm, of the selected and manually curated training and test sets of variants, as well as of its classification ability.

Indexed as

AlgorithmsChromosome MappingDNA Mutational AnalysisGenetic VariationGenome, HumanGenome, MitochondrialHumansMachine LearningPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySoftware

Identifiers

PMID28640805
PMCPMC5501658
OpenAlexW2702142074

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.