Evidence map›Paper›PMID 40933525›Full record

ReviewFrontiers in veterinary science2025

Epidemiological landscape and genetic prospects for marker-assisted selection in Kazakh sheep.

Shynggys Orkara, Aigerim Khamzina, Nurlan Sandybayev, Rano Sattarova, Ainur Davletova, Kadyrzhan Khamzin, Kisun Pokharel, Primkul Ibragimov, Nadezhda Burambayeva, Darkhan Smagulov

Abstract readReview
In one paragraph

Review in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Shynggys OrkaraKazakh National Agrarian Research University, Almaty, Kazakhstan.
Aigerim KhamzinaKazakh National Agrarian Research University, Almaty, Kazakhstan.
Nurlan SandybayevKazakh National Agrarian Research University, Almaty, Kazakhstan.
Rano SattarovaLaboratory of Bacteriology, LLP "Kazakh Scientific Research Veterinary Institute", Almaty, Kazakhstan.
Ainur DavletovaWest Kazakhstan Innovation and Technological University, Uralsk, Kazakhstan.
Kadyrzhan KhamzinLLP Scientific and Educational Center "Qazyna", Almaty, Kazakhstan.
Kisun PokharelNatural Resources Institute Finland (LUKE), Jokioinen, Finland.
Primkul IbragimovKazakh National Agrarian Research University, Almaty, Kazakhstan.
Nadezhda BurambayevaFaculty of Agricultural Sciences, NJSC "Toraigyrov University", Pavlodar, Kazakhstan.
Darkhan SmagulovWest Kazakhstan Innovation and Technological University, Uralsk, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This comprehensive review examines the current epidemiological landscape, genetic resistance mechanisms, and control strategies for major sheep diseases in Kazakhstan. The study systematically analyzes three primary disease categories: parasitic infestations (including echinococcosis, fascioliasis, gastrointestinal strongylatosis, and protozoan infections), infectious diseases (foot rot, scrapie, Maedi-Visna, pasteurellosis, brucellosis), and hereditary disorders. Our analysis revealed significant regional variations in disease prevalence, with southern and western regions of Kazakhstan exhibiting higher parasitic burdens, particularly for echinococcosis and fascioliasis. Recent molecular studies have identified promising genetic markers associated with disease resistance, notably polymorphisms in the MHC complex (particularly

Indexed as

associative studiesdiseasesgenetic markersgenetic resistanceKazakh sheep

Identifiers

PMID40933525
PMCPMC12417113

What OpenQuestion holds

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Registered trials

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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.