Evidence map›Paper›PMID 31114899›Full record

ArticleNucleic acids research2019

Fido-SNP: the first webserver for scoring the impact of single nucleotide variants in the dog genome.

Emidio Capriotti, Ludovica Montanucci, Giuseppe Profiti, Ivan Rossi, Diana Giannuzzi, Luca Aresu, Piero Fariselli

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Mutational Landscape ofVeterinary sciences · 2024
    Article
  3. Article
  4. Review
  5. Article
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

7 authors at 4 institutions in 1 country.

Emidio CapriottiBioFolD Unit, Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Via F. Selmi 3, 40126 Bologna, Italy.
Ludovica MontanucciDepartment of Comparative Biomedicine and Food Science. University of Padova, Viale dell'Università, 16, 35020 Legnaro (Padova), Italy.
Giuseppe ProfitiBioDec srl. Via Calzavecchio 20, 40033 Casalecchio di Reno (Bologna), Italy.
Ivan RossiBioDec srl. Via Calzavecchio 20, 40033 Casalecchio di Reno (Bologna), Italy.
Diana GiannuzziDepartment of Comparative Biomedicine and Food Science. University of Padova, Viale dell'Università, 16, 35020 Legnaro (Padova), Italy.
Luca AresuDepartment of Veterinary Sciences, University of Torino, Largo P. Braccini 2, 10095 Grugliasco, (Torino), Italy.
Piero FariselliDepartment of Comparative Biomedicine and Food Science. University of Padova, Viale dell'Università, 16, 35020 Legnaro (Padova), Italy.
University of Padua · ITCineca · ITUniversity of Bologna · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the amount of genomic variation data increases, tools that are able to score the functional impact of single nucleotide variants become more and more necessary. While there are several prediction servers available for interpreting the effects of variants in the human genome, only few have been developed for other species, and none were specifically designed for species of veterinary interest such as the dog. Here, we present Fido-SNP the first predictor able to discriminate between Pathogenic and Benign single-nucleotide variants in the dog genome. Fido-SNP is a binary classifier based on the Gradient Boosting algorithm. It is able to classify and score the impact of variants in both coding and non-coding regions based on sequence features within seconds. When validated on a previously unseen set of annotated variants from the OMIA database, Fido-SNP reaches 88% overall accuracy, 0.77 Matthews correlation coefficient and 0.91 Area Under the ROC Curve.

Indexed as

GenomicsSoftwareAlgorithmsAnimalsDogsGenetic VariationGenomeGenome-Wide Association StudyGenotypeInternetPolymorphism, Single Nucleotide

Identifiers

PMID31114899
PMCPMC6602425
OpenAlexW2945097005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.