Evidence map›Paper›PMID 26621530›Full record

ArticleHuman genetics2016

A multi-parametric workflow for the prioritization of mitochondrial DNA variants of clinical interest.

Mariangela Santorsola, Claudia Calabrese, Giulia Girolimetti, Maria Angela Diroma, Giuseppe Gasparre, Marcella Attimonelli

Registry-linked trialAbstract read
In one paragraph

Article in Human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04750330 (Mitochondrial DNA and Nuclear SNPs to Predict Severity of COVID-19 Infection), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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.

NCT04750330 completednot on this mapstarted 2021, after this paper: background citation

Mitochondrial DNA and Nuclear SNPs to Predict Severity of COVID-19 Infection

TypeobservationalSponsorMaastricht UniversityRan2021 to 2023Enrolled394ConditionsCovid19
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Mariangela SantorsolaDepartment of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari, Via E.Orabona 4, 70126, Bari, Italy.
Claudia CalabreseDepartment of Medical and Surgical Sciences, Medical Genetics, University of Bologna Medical School, via Massarenti 9, 40138, Bologna, Italy.
Giulia GirolimettiDepartment of Medical and Surgical Sciences, Medical Genetics, University of Bologna Medical School, via Massarenti 9, 40138, Bologna, Italy.
Maria Angela DiromaDepartment of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari, Via E.Orabona 4, 70126, Bari, Italy.
Giuseppe GasparreDepartment of Medical and Surgical Sciences, Medical Genetics, University of Bologna Medical School, via Massarenti 9, 40138, Bologna, Italy.
Marcella AttimonelliDepartment of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari, Via E.Orabona 4, 70126, Bari, Italy. marcella.attimonelli@uniba.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assigning a pathogenic role to mitochondrial DNA (mtDNA) variants and unveiling the potential involvement of the mitochondrial genome in diseases are challenging tasks in human medicine. Assuming that rare variants are more likely to be damaging, we designed a phylogeny-based prioritization workflow to obtain a reliable pool of candidate variants for further investigations. The prioritization workflow relies on an exhaustive functional annotation through the mtDNA extraction pipeline MToolBox and includes Macro Haplogroup Consensus Sequences to filter out fixed evolutionary variants and report rare or private variants, the nucleotide variability as reported in HmtDB and the disease score based on several predictors of pathogenicity for non-synonymous variants. Cutoffs for both the disease score as well as for the nucleotide variability index were established with the aim to discriminate sequence variants contributing to defective phenotypes. The workflow was validated on mitochondrial sequences from Leber's Hereditary Optic Neuropathy affected individuals, successfully identifying 23 variants including the majority of the known causative ones. The application of the prioritization workflow to cancer datasets allowed to trim down the number of candidate for subsequent functional analyses, unveiling among these a high percentage of somatic variants. Prioritization criteria were implemented in both standalone ( http://sourceforge.net/projects/mtoolbox/ ) and web version ( https://mseqdr.org/mtoolbox.php ) of MToolBox.

Indexed as

AdenocarcinomaChromatography, High Pressure LiquidColorectal NeoplasmsConsensus SequenceDNA, MitochondrialFemaleGerm-Line MutationHaplotypesHumansOptic Atrophy, Hereditary, LeberOvarian NeoplasmsDNA, Mitochondrial

Identifiers

PMID26621530
PMCPMC4698288

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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.