Evidence map›Paper›PMID 42461360›Full record

ArticleTropical animal health and production2026

Genomic investigation of the fat-to-protein ratio: functional analysis of a biomarker associated with ketosis in Iranian Holstein dairy cows.

Hoora Shahabi, Alireza Hassani Bafarani, Nasser Emam Jomeh Kashan, Ali Asghar Sadeghi

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Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hoora ShahabiDepartment of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0008-4243-9640
Alireza Hassani BafaraniDepartment of Animal Science Research Institute of Iran, Agricultural Research, National Animal Breeding Center and Promotion of Animal Products, Karaj, Iran.ORCID http://orcid.org/0000-0002-8113-9519
Nasser Emam Jomeh KashanDepartment of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran. nejknasser@gmail.com.ORCID http://orcid.org/0000-0002-9635-3876
Ali Asghar SadeghiDepartment of Animal Science, Science and Research Branch, Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0000-0003-1560-5873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The milk fat-to-protein ratio (FPR) is an important indicator of milk quality and a useful biomarker of metabolic status in dairy cows. This study used functional single-step genome-wide association analysis (ssGWAS) incorporating performance records from 502,781 first-parity Iranian Holstein cows and SNP genotypes from 2,187 Holstein bulls to investigate the genomic architecture underlying FPR variation in this population. The heritability of FPR was estimated at 0.24. Genome-wide scanning identified 18 significant SNPs on BTA14 and 121 positional candidate genes located within ± 100 kb of these variants. Because FPR is commonly used as a biomarker for metabolic disorders such as ketosis, we additionally performed Gene Ontology (GO) enrichment analysis to identify biological pathways and genes potentially involved in subclinical ketosis risk. The major enriched pathways were related to lipid metabolism, energy utilization, and acylglycerol biosynthesis. Several significant SNPs-particularly ARS-BFGL-NGS-4939, ARS-BFGL-NGS-94,706, ARS-BFGL-NGS-103,064, ARS-BFGL-NGS-3122, and Hapmap29758-BTC-003619-were located near key functional genes such as DGAT1, CYP11B1, and GPIHBP1, which have known roles in these pathways and may contribute to FPR variability and susceptibility to subclinical ketosis. Overall, our findings provide new insight into the genomic basis of FPR and offer valuable direction for breeding strategies aimed at reducing ketosis prevalence in Iranian Holstein cattle.

Indexed as

Cattle DiseasesFatsKetosisMilkAnimalsBiomarkersCattleFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyIranPolymorphism, Single NucleotideBiomarkersFatsCandidate genesFat-to-protein ratioGene OntologyMetabolic disordersssGWAS

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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 Socratic graph.