Evidence map›Paper›PMID 36568400›Full record

ArticleFrontiers in genetics2022

Genomic adaptation of Ethiopian indigenous cattle to high altitude.

Endashaw Terefe, Gurja Belay, Jianlin Han, Olivier Hanotte, Abdulfatai Tijjani

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Exploring the genetic footprints of high altitude adapted humans and livestock.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  13. Genomic signatures of selection in drug metabolizing genes across cattle populations.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    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

5 authors at 4 institutions in 4 countries.

Endashaw TerefeDepartment of Microbial Cellular and Molecular Biology (MCMB), College of Natural and Computational Science, Addis Ababa University, Addis Ababa, Ethiopia.
Gurja BelayDepartment of Microbial Cellular and Molecular Biology (MCMB), College of Natural and Computational Science, Addis Ababa University, Addis Ababa, Ethiopia.
Jianlin HanLivestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi, Kenya.
Olivier HanotteInternational Livestock Research Institute (ILRI), Addis Ababa, Ethiopia.
Abdulfatai TijjaniInternational Livestock Research Institute (ILRI), Addis Ababa, Ethiopia.
Roslin Institute · GBAddis Ababa University · ETArsi UniversityChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mountainous areas of Ethiopia represent one of the most extreme environmental challenges in Africa faced by humans and other inhabitants. Selection for high-altitude adaptation is expected to have imprinted the genomes of livestock living in these areas. Here we assess the genomic signatures of positive selection for high altitude adaptation in three cattle populations from the Ethiopian mountainous areas (Semien, Choke, and Bale mountains) compared to three Ethiopian lowland cattle populations (Afar, Ogaden, and Boran), using whole-genome resequencing and three genome scan approaches for signature of selection (iHS, XP-CLR, and PBS). We identified several candidate selection signature regions and several high-altitude adaptation genes. These include genes such as

Indexed as

adaptationcandidate geneconvergent evolutionEthiopian cattlehigh altitudehypoxia

Identifiers

PMID36568400
PMCPMC9780680
OpenAlexW4311961720

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.