Evidence map›Paper›PMID 36230420›Full record

ArticleAnimals : an open access journal from MDPI2022

Characterization of the Sarcidano Horse Coat Color Genes.

Giovanni Cosso, Vincenzo Carcangiu, Sebastiano Luridiana, Stefania Fiori, Nicolò Columbano, Gerolamo Masala, Giovanni Mario Careddu, Eraldo Sanna Passino, Maria Consuelo Mura

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

9 authors.

Giovanni CossoDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.ORCID 0000-0003-0732-1483
Vincenzo CarcangiuDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.ORCID 0000-0002-3946-4107
Sebastiano LuridianaDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.ORCID 0000-0002-6867-199X
Stefania FioriDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
Nicolò ColumbanoDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.ORCID 0000-0003-2201-8773
Gerolamo MasalaDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
Giovanni Mario CaredduDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.
Eraldo Sanna PassinoDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.ORCID 0000-0002-5600-6837
Maria Consuelo MuraDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, 07100 Sassari, Italy.ORCID 0000-0001-6188-9841

Funding

Sassari University research fund 2020 FAR/2020
6 · The paper itself

Abstract

The goal of this study was to contribute to the general knowledge of the Sarcidano Horse, both by the identification of the genetic basis of the coat color and by updating the exact locations of the genotyping sites, based on the current EquCab3.0 genome assembly version. One-hundred Sarcidano Horses, living in semi-feral condition, have been captured to perform health and biometric checks. From that total number, 70 individual samples of whole blood were used for DNA extraction, aimed to characterize the genetic basis of the coat color. By genotyping and sequencing analyses of the

Indexed as

animal genetic resourcescoat colorlocal genotypesSarcidano Horse

Identifiers

PMID36230420
PMCPMC9558981

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.