Evidence map›Paper›PMID 37893961›Full record

ArticleAnimals : an open access journal from MDPI2023

Genome-Wide Association and Pathway Analysis of Carcass and Meat Quality Traits in Karachai Young Goats.

Marina Selionova, Magomet Aibazov, Alexander Sermyagin, Anna Belous, Tatiana Deniskova, Tatiana Mamontova, Ekaterina Zharkova, Natalia Zinovieva

Open access · goldAbstract read
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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Pleiotropic GeneAnimals : an open access journal from MDPI · 2024
    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

8 authors at 3 institutions in 1 country.

Marina SelionovaSubdepartment of Animal Breeding, Genetics and Biotechnology, Moscow Timiryazev Agricultural Academy, Russian State Agrarian University, Timiryazevskaya Street, 41, 127343 Moscow, Russia.ORCID 0000-0002-9501-8080
Magomet AibazovNorth Caucasian Agrarian Center, Zootechnicheski 15, 355017 Stavropol, Russia.
Alexander SermyaginL. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, 142132 Moscow, Russia.ORCID 0000-0002-1799-6014
Anna BelousL. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, 142132 Moscow, Russia.ORCID 0000-0001-7533-4281
Tatiana DeniskovaL. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, 142132 Moscow, Russia.ORCID 0000-0002-5809-1262
Tatiana MamontovaSubdepartment of Animal Breeding, Genetics and Biotechnology, Moscow Timiryazev Agricultural Academy, Russian State Agrarian University, Timiryazevskaya Street, 41, 127343 Moscow, Russia.
Ekaterina ZharkovaSubdepartment of Animal Breeding, Genetics and Biotechnology, Moscow Timiryazev Agricultural Academy, Russian State Agrarian University, Timiryazevskaya Street, 41, 127343 Moscow, Russia.ORCID 0000-0002-7095-418X
Natalia ZinovievaL. K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy 60, 142132 Moscow, Russia.ORCID 0000-0003-4017-6863
Federal Scientific Center for Animal Husbandry named after Academician L.K. Ernst · RURussian State Agrarian University - Moscow Timiryazev Agricultural Academy · RUStavropol State Agrarian University · RU

Funding

the program of strategic academic leadership «Priority-2030» «Biotechnological methods of reproduction and genomic technologies in breeding farm animals and preserving the gene pool of small breeds»
6 · The paper itself

Abstract

Goats with diverse economic phenotypic traits play an important role in animal husbandry. However, the genetic mechanisms underlying complex phenotypic traits are unclear in goats. Genomic studies of variations provided a lens to identify functional genes. The work aimed to search for candidate genes related to body measurements and body weight of Karachai goats and develop an experimental PCR-RV test system for genotyping significant SNPs. Comparison of GWAS results for ages 4 and 8 months revealed 58 common SNPs for significant genotypes. 11 common SNPs were identified for body weight, 4 SNPs-for group of traits withers height, rump height, body length, 2 SNPs-for withers height and rump height, 1 SNP-for body length and chest depth. Structural annotation of genomic regions covering a window of ±0.20 Mb showed the presence of 288 genes; 52 of them had the described functions in accordance with gene ontology. The main molecular functions of proteins encoded by these genes are the regulation of transcription, cell proliferation, angiogenesis, body growth, fatty acid and lipid metabolism, nervous system development, and spermatogenesis. SNPs common to body weight and localized within a window of ±200 kb from the structural genes

Indexed as

candidate genescarcassGWASKarachai goatsmeatQTLSNP

Identifiers

PMID37893961
PMCPMC10603756
OpenAlexW4387702513

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.