Evidence map›Paper›PMID 22139932›Full record

ArticleNucleic acids research2012

HmtDB, a genomic resource for mitochondrion-based human variability studies.

Francesco Rubino, Roberta Piredda, Francesco Maria Calabrese, Domenico Simone, Martin Lang, Claudia Calabrese, Vittoria Petruzzella, Mila Tommaseo-Ponzetta, Giuseppe Gasparre, Marcella Attimonelli

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing 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.

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

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

  1. Pooled it
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  12. Accelerated expansion of pathogenic mitochondrial DNA heteroplasmies in Huntington's disease.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

10 authors.

Francesco RubinoDipartimento di Biochimica e Biologia Molecolare E Quagliariello, Università degli studi di Bari, Bari 70126, Italy.
Roberta Piredda
Francesco Maria Calabrese
Domenico Simone
Martin Lang
Claudia Calabrese
Vittoria Petruzzella
Mila Tommaseo-Ponzetta
Giuseppe Gasparre
Marcella Attimonelli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HmtDB (http://www.hmtdb.uniba.it:8080/hmdb) is a open resource created to support population genetics and mitochondrial disease studies. The database hosts human mitochondrial genome sequences annotated with population and variability data, the latter being estimated through the application of the SiteVar software based on site-specific nucleotide and amino acid variability calculations. The annotations are manually curated thus adding value to the quality of the information provided to the end-user. Classifier tools implemented in HmtDB allow the prediction of the haplogroup for any human mitochondrial genome currently stored in HmtDB or externally submitted de novo by an end-user. Haplogroup definition is based on the Phylotree system. End-users accessing HmtDB are hence allowed to (i) browse the database through the use of a multi-criterion 'query' system; (ii) analyze their own human mitochondrial sequences via the 'classify' tool (for complete genomes) or by downloading the 'fragment-classifier' tool (for partial sequences); (iii) download multi-alignments with reference genomes as well as variability data.

Indexed as

Databases, Nucleic AcidGenetic VariationGenome, MitochondrialAlgorithmsDNA, MitochondrialGenomicsHumansMolecular Sequence AnnotationSequence AlignmentSequence Analysis, DNASoftwareDNA, Mitochondrial

Identifiers

PMID22139932
PMCPMC3245114

What OpenQuestion holds

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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.