Evidence map›Paper›PMID 36074326›Full record

ReviewJournal of applied genetics2022

Dog-human translational genomics: state of the art and genomic resources.

Stefano Pallotti, Ignazio S Piras, Andrea Marchegiani, Matteo Cerquetella, Valerio Napolioni

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of applied genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Stefano PallottiGenomic And Molecular Epidemiology (GAME) Lab, School of Biosciences and Veterinary Medicine, University of Camerino, Via Gentile III Da Varano s/n, 62032, Camerino, MC, Italy. stefano.pallotti@unicam.it.ORCID http://orcid.org/0000-0003-3196-151X
Ignazio S PirasNeurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, 85004, USA.ORCID http://orcid.org/0000-0003-4024-3368
Andrea MarchegianiSchool of Biosciences and Veterinary Medicine, University Veterinary Teaching Hospital, University of Camerino, Camerino, Italy.ORCID http://orcid.org/0000-0002-3629-0391
Matteo CerquetellaSchool of Biosciences and Veterinary Medicine, University Veterinary Teaching Hospital, University of Camerino, Camerino, Italy.ORCID http://orcid.org/0000-0001-9471-0756
Valerio NapolioniGenomic And Molecular Epidemiology (GAME) Lab, School of Biosciences and Veterinary Medicine, University of Camerino, Via Gentile III Da Varano s/n, 62032, Camerino, MC, Italy.ORCID http://orcid.org/0000-0002-4378-6838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovative models for medical research are strongly required nowadays. Convincing evidence supports dog as the most suitable spontaneous model for several human genetic diseases. Decades of studies on dog genome allowed the identification of hundreds of mutations causing genetic disorders, many of which are proposed as counterparts responsible for human diseases. Traditionally, the murine model is the most extensively used in human translational research. However, this species shows large physiological differences from humans, and it is kept under a controlled artificial environment. Conversely, canine genetic disorders often show pathophysiological and clinical features highly resembling the human counterpart. In addition, dogs share the same environment with humans; therefore, they are naturally exposed to many risk factors. Thus, different branches of translational medicine aim to study spontaneously occurring diseases in dogs to provide a more reliable model for human disorders. This review offers a comprehensive overview of the knowledge and resources available today for all the researchers involved in the field of dog-human translational medicine. Some of the main successful examples from dog-human translational genomics are reported, such as the canine association studies which helped to identify the causal mutation in the human counterpart. We also illustrated the ongoing projects aiming to create public canine big datasets. Finally, specific online databases are discussed along with several information resources that can speed up clinical translational research.

Indexed as

Dog DiseasesGenomicsAnimalsDisease Models, AnimalDogsGenome, HumanHumansMiceMutationDogDog–humanGenetic variantTranslational genomicsTranslational medicineWhole-genome sequencing

Identifiers

What OpenQuestion holds

Textmetadata
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.