Evidence map›Paper›PMID 41252605›Full record

ArticleAnimal biotechnology2025

Single-step genome-wide association study of milk somatic cell scores across multi-cattle breeds in Ethiopia.

Tegegn Fantahun Chernet, Getinet Mekuriaw Tarekegn, Okeyo Mwai Ally, Selam Meseret, Raphael Mrode, Enyew Negussie, Zewdu Edea Bedada, Gebregziabher Gebreyohanes, Chinyere Ekine-Dzivenu, Asrat Tera and 1 more

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Article in Animal biotechnology, 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. 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

11 authors.

Tegegn Fantahun ChernetAnimal Biotechnology Directorate, Bio and Emerging Technology Institute, Addis Ababa, Ethiopia.
Getinet Mekuriaw TarekegnAnimal Biotechnology Directorate, Bio and Emerging Technology Institute, Addis Ababa, Ethiopia.
Okeyo Mwai AllyLivestock Genetics Department, ILRI, Nairobi, Kenya.
Selam MeseretLivestock Genetics Department, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia.
Raphael MrodeSchool of Veterinary Medicine and Biosciences (SVMB), Scotland's Rural College (SRUC), Edinburgh, UK.
Enyew NegussieAnimal Genetics Department, Natural Resources Institute (Luke), Helsinki, Finland.
Zewdu Edea BedadaBioinformatics and Genomics Directorate, Bio and Emerging Technology Institute, Addis Ababa, Ethiopia.
Gebregziabher GebreyohanesLivestock Genetics Department, ILRI, Nairobi, Kenya.
Chinyere Ekine-DzivenuLivestock Genetics Department, ILRI, Nairobi, Kenya.
Asrat TeraAnimal Genetic Improve and Research Department, Livestock Development Institute, Addis Ababa, Ethiopia.
Tesfaye Sisay TessemaHealth Biotechnology Directorate, Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

Gates Foundation INV-010654
6 · The paper itself

Abstract

Mastitis, an inflammation of the bovine mammary gland, reduces dairy productivity and poses significant health risks to Ethiopian dairy cattle. This study aimed to identify genomic regions associated with milk somatic cell score (SCS) and estimate its genetic parameters. The dataset included 1647 phenotypic cows, 6964 genotyped animals, and 39,976 single nucleotide polymorphism (SNP) markers. A single-step genome-wide association study (ssGWAS) was conducted, accounting for fixed effects of parity, genomic breed composition, altitude, and lactation stage, and random effects of herd-year-calving-season and permanent environment. Genetic variance using 20 adjacent SNPs sliding windows explaining ≥1% of the total genetic variance were used for candidate genes and quantitative trait loci (QTL) identifications. The estimated heritability of SCS was 0.11 ± 0.06. Genomic regions on BTA 15, 19, and 26 were identified associated with SCS, encompassing 116 genes, including MPP7, MPP8, MMP13, BIRC2, BIRC3, BTRC, SRSF1, and MPO, which are involved in immunity, inflammation, apoptosis, antimicrobial defense, and tissue remodeling. Gene enrichment analysis revealed that the genes are involved collagen catabolic process and IL-17 signaling pathway. These findings provide insights into genomic regions that could be targeted in genomic selection to improve mastitis resistance in Ethiopian dairy cattle.

Indexed as

Genome-Wide Association StudyMilkAnimalsBreedingCattleEthiopiaFemaleMastitis, BovinePolymorphism, Single NucleotideQuantitative Trait Locidairy cattlegenetic varianceMastitissomatic cell scoressGWAS

Identifiers

PMID41252605
PMCPMC12698049

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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.