Evidence map›Paper›PMID 36899675›Full record

ArticleAnimals : an open access journal from MDPI2023

Genomic Analysis of the Endangered Fonni's Dog Breed: A Comparison of Genomic and Phenotypic Evaluation Scores.

Matteo Cortellari, Arianna Bionda, Raffaella Cocco, Sara Sechi, Luigi Liotta, Paola Crepaldi

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In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The Shepherd and the Hunter: A Genomic Comparison of Italian Dog Breeds.Animals : an open access journal from MDPI · 2023
    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

6 authors.

Matteo CortellariDepartment of Agricultural and Environmental Sciences, Milan University, Via Celoria, 2, 20133 Milan, Italy.ORCID 0000-0002-5161-0648
Arianna BiondaDepartment of Agricultural and Environmental Sciences, Milan University, Via Celoria, 2, 20133 Milan, Italy.ORCID 0000-0001-9116-3208
Raffaella CoccoDepartment of Veterinary Medicine, Sassari University, Via Vienna, 2, 07100 Sassari, Italy.
Sara SechiDepartment of Veterinary Medicine, Sassari University, Via Vienna, 2, 07100 Sassari, Italy.
Luigi LiottaDepartment of Veterinary Sciences, Messina University, Viale Palatucci, 13, 98168 Messina, Italy.ORCID 0000-0002-3242-1817
Paola CrepaldiDepartment of Agricultural and Environmental Sciences, Milan University, Via Celoria, 2, 20133 Milan, Italy.ORCID 0000-0002-6526-2162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Fonni's dog is an ancient Sardinian breed for livestock and property guarding. In recent years, the number of new registrations to the breeding book has slumped and, thus, this breed risks being lost forever. This work refocuses attention to the Fonni's dog, analysing its genomic makeup and comparing different phenotypical and genetic evaluation scores. Thirty Fonni's dogs were ranked by their general accordance to the breed typicality (typicality score) and to the provisional standard by official judges (judges' score). They were genotyped with a 230K SNP BeadChip and compared with 379 dogs of 24 breeds. Genomically, the Fonni's dogs placed themselves near shepherd dogs and showed a unique genetic signature, which was used to create the genomic score. This score better correlated with typicality (ρ = 0.69,

Indexed as

dog breed conservationItalian dog breedSNPs

Identifiers

PMID36899675
PMCPMC10000202

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read41
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.