Evidence map›Paper›PMID 41454275›Full record

ArticleBMC genomics2025

Genome-wide identifications of regulatory variants influencing milk fat percentage in Chinese Holstein cow.

Changliang Gong, Yaran Zhang, Chunhong Yang, Zhihua Ju, Wenhao Liu, Qiang Jiang, Xiuge Wang, Yao Xiao, Xiaochao Wei, Yaping Gao and 4 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Changliang Gong *Key Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Yaran Zhang *Key Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Chunhong Yang *Key Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Zhihua JuKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Wenhao LiuKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Qiang JiangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Xiuge WangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Yao XiaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Xiaochao WeiKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Yaping GaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Lingling WangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Yundong GaoKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China.
Jinpeng WangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China. wangjinpeng0225@163.com.
Jinming HuangKey Laboratory of Livestock and Poultry Multi-omics of MARA, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, Shandong, 250100, P. R. China. huangjinm@sina.com.

Funding

Key Research and Development Program of Shandong 2021LZGC011, 2025LZGC006National Key Research and Development Program of China 2021YFF1000703National Natural Science Foundation of China 32202648Natural Science Foundation of Shandong ZR2024MC139
6 · The paper itself

Abstract

backgroundMilk fat is a critical economic trait in Holstein cattle; however, the identification of genomic loci associated with milk fat content remains limited, constraining progress in genetic improvement and overall dairy production efficiency. A comprehensive understanding of the genetic and regulatory mechanisms underlying milk fat synthesis is therefore essential for advancing dairy breeding and productivity.

resultsWe conducted a genome-wide association study (GWAS) using a linear mixed model (LMM) on the genomic estimated breeding values (GEBVs) of milk fat percentage (MFP) in 2,709 Chinese Holstein cows. Population structure and relatedness were controlled using a genomic relationship matrix (GRM), and multiple testing was corrected by applying the False Discovery Rate (FDR) method. A total of 104 significant SNPs (FDR < 0.05) were identified, including 32 SNPs clustered in the DGAT1 region on BTA14 (1.3-2.3 Mb, Bos_taurus_UMD_3.1.1). Favorable alleles for each SNP were identified. Among the significant variants, eight SNPs located within the exons of SPAG1, SLC15A5, PLEKHA5, and HERC6 were found, including four missense mutations predicted to increase protein stability according to I-Mutant and MUpro analyses. Validation in an independent population of 99 cows confirmed associations between MFP and three intergenic SNPs: BovineHD1400001112, BovineHD1400000698, and BovineHD0500026460, all located in predicted transcriptional regulatory regions. Dual-luciferase assays demonstrated that these SNPs affected transcriptional activity, with BovineHD1400001112 influencing the binding of SP1, a core regulator of milk fat synthesis. qRT-PCR in peripheral blood (T/T vs. C/C) showed differential expression of FASN and ACACA.

conclusionsThese findings support the notion that BovineHD1400001112 may act as a regulatory variant influencing milk fat synthesis through modulation of key transcription factors and nearby genes, providing insights into potential targets for genetic improvement in Holstein cattle.

Indexed as

FatsGenome-Wide Association StudyMilkAnimalsBreedingCattleChinaDiacylglycerol O-AcyltransferaseFemalePolymorphism, Single NucleotideDiacylglycerol O-AcyltransferaseFatsCattleMilk fatRegulatory variantTranscription factor

Identifiers

PMID41454275
PMCPMC12849735

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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.