Evidence map›Paper›PMID 35528543›Full record

ArticleFrontiers in genetics2022

Selection Signature Analyses Revealed Genes Associated With Adaptation, Production, and Reproduction in Selected Goat Breeds in Kenya.

Ruth W Waineina, Tobias O Okeno, Evans D Ilatsia, Kiplangat Ngeno

Open access · goldAbstract read
In one paragraph

Article in Frontiers in 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
4.5field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  6. Selection Signatures in the Genome of Dzhalgin Merino Sheep Breed.Animals : an open access journal from MDPI · 2025
    Article
  7. Article
  8. Climate resilience in goats: a comprehensive review of the genetic basis for adaptation to varied climatic conditions.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  9. Review
  10. Article
  11. Article
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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

4 authors at 2 institutions in 1 country.

Ruth W WaineinaDepartment of Animal Sciences, Animal Breeding and Genomics Group, Egerton University, Egerton, Kenya.
Tobias O OkenoDepartment of Animal Sciences, Animal Breeding and Genomics Group, Egerton University, Egerton, Kenya.
Evans D IlatsiaDairy Research Institute, Kenya Agricultural and Livestock Organization, Naivasha, Kenya.
Kiplangat NgenoDepartment of Animal Sciences, Animal Breeding and Genomics Group, Egerton University, Egerton, Kenya.
Egerton University · KEKenya Agricultural and Livestock Research Organization · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial and natural selection in livestock is expected to leave unique footprints on their genomes. Goat breeds in Kenya have evolved for survival, breeding, and production in various harsh ecological areas, and their genomes are likely to have acquired unique alleles for adaptation to such diverse production environments and other traits of economic importance. To investigate signals of selection for some selected goat breeds in Kenya, Alpine (

Indexed as

adaptationcandidate genesfootprintsputative regionssignature of selection

Identifiers

PMID35528543
PMCPMC9068939
OpenAlexW4224242232

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.