Evidence map›Paper›PMID 37139670›Full record

ArticleVeterinary medicine and science2023

A genome-wide association study of morphometric traits in dromedaries.

Morteza Bitaraf Sani, Omid Karimi, Pamela Anna Burger, Arash Javanmard, Zahra Roudbari, Mokhtar Mohajer, Nader Asadzadeh, Javad Zareh Harofteh, Ali Kazemi, Ali Shafei Naderi

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. ExploringCurrent issues in molecular biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genomic patterns of selection in morphometric traits across diverse Indian cattle breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  7. 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

10 authors at 6 institutions in 3 countries.

Morteza Bitaraf SaniAnimal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), Yazd, Iran.
Omid KarimiDepartment of Animal Viral Diseases Research, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization, Karaj, Iran.
Pamela Anna BurgerResearch Institute of Wildlife Ecology, Vetmeduni Vienna, Vienna, Austria.
Arash JavanmardDepartment of Animal Science, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
Zahra RoudbariDepartment of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft, Iran.
Mokhtar MohajerAnimal Science Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Nader AsadzadehAnimal Science Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Javad Zareh HaroftehAnimal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), Yazd, Iran.
Ali KazemiAnimal Breeding Canter of Iran, Karaj, Iran.
Ali Shafei NaderiAnimal Science Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization (AREEO), Yazd, Iran.
Agricultural Research & Education Organization · IRAnimal Science Research Institute · CNRazi Vaccine and Serum Research Institute · IRUniversity of Jiroft · IRUniversity of Tabriz · IRUniversity of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvestigating genomic regions associated with morphometric traits in camels is valuable, because it allows a better understanding of adaptive and productive features to implement a sustainable management and a customised breeding program for dromedaries.

objectivesWith a genome-wide association study (GWAS) including 96 Iranian dromedaries phenotyped for 12 morphometric traits and genotyped-by-sequencing (GBS) with 14,522 SNPs, we aimed at identifying associated candidate genes.

methodsThe association between SNPs and morphometric traits was investigated using a linear mixed model with principal component analysis (PCA) and kinship matrix.

resultsWith this approach, we detected 59 SNPs located in 37 candidate genes potentially associated to morphometric traits in dromedaries. The top associated SNPs were related to pin width, whither to pin length, height at whither, muzzle girth, and tail length. Interestingly, the results highlight the association between whither height, muzzle circumference, tail length, whither to pin length. The identified candidate genes were associated with growth, body size, and immune system in other species.

conclusionsWe identified three key hub genes in the gene network analysis including ACTB, SOCS1 and ARFGEF1. In the central position of gene network, ACTB was detected as the most important gene related to muscle function. With this initial GWAS using GBS on dromedary camels for morphometric traits, we show that this SNP panel can be effective for genetic evaluation of growth in dromedaries. However, we suggest a higher-density SNP array may greatly improve the reliability of the results.

Indexed as

CamelusGenome-Wide Association StudyAnimalsIranPhenotypePolymorphism, Single NucleotideReproducibility of ResultsCamelus dromedariuscandidate genesgenotyping by sequencingsingle nucleotide polymorphism (SNP)

Identifiers

PMID37139670
PMCPMC10357240
OpenAlexW4368362144

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.