ArticleAnimal genetics2009
Database of cattle candidate genes and genetic markers for milk production and mastitis.
Article in Animal genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
81 citing papers in PubMed, 1 synthesis or guideline pooled it, 248 citations in OpenAlex.
- Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds.Genetics, selection, evolution : GSE · 2020Pooled it
- Genome-Wide Association Studies of Milk Composition Traits in Holstein Cattle Raised in Tropical and Subtropical Conditions.Animals : an open access journal from MDPI · 2026Article
- Association of single nucleotide polymorphisms in the entire coding region of the SOCS2 gene with milk traits in Sahiwal cattle.Tropical animal health and production · 2025Article
- RNA stability: a novel perspective on gene regulatory networks in bovine mastitis.BMC genomics · 2025Article
- Article
- Genome-wide association studies and functional annotation of pre-weaning calf mortality and reproductive traits in Nellore cattle from experimental selection lines.BMC genomics · 2024Article
- Exploration and Enrichment Analysis of the QTLome for Important Traits in Livestock Species.Genes · 2024Article
- Transcriptomic and Metabolomics Joint Analyses Reveal the Influence of Gene and Metabolite Expression in Blood on the Lactation Performance of Dual-Purpose Cattle (International journal of molecular sciences · 2024Article
- The impact of genetic variants related to the fatty acid metabolic process pathway on milk production traits in Jersey cows.Animal biotechnology · 2024Article
- SNP Analysis of TLR4 Promoter and Its Transcriptional Factor Binding Profile in Relevance to Bovine Subclinical Mastitis.Biochemical genetics · 2024Article
- Genetic variation in bovine LAP3 and SIRT1 genes associated with fertility traits in dairy cattle.BMC genomic data · 2024Article
- Genomic Characterization and Initial Insight into Mastitis-Associated SNP Profiles of Local LatvianAnimals : an open access journal from MDPI · 2023Article
- Comparative genomic analysis uncovers candidate genes related with milk production and adaptive traits in goat breeds.Scientific reports · 2023Article
- Methylation Levels in the Promoter Region ofGenes · 2023Article
- Kompetitive Allele Specific PCR Genotyping of 89 SNPs in Romanian Spotted and Romanian Brown Cattle Breeds and Their Association with Clinical Mastitis.Animals : an open access journal from MDPI · 2023Article
- Non-Synonymous Variants in Fat QTL Genes among High- and Low-Milk-Yielding Indigenous Breeds.Animals : an open access journal from MDPI · 2023Article
- Candidate genes for mastitis resistance in dairy cattle: a data integration approach.Journal of animal science and biotechnology · 2023Article
- Comprehensive RNA-seq profiling to evaluate the rabbit mammary gland transcriptome after mastitis.Journal of animal science · 2023Article
- Article
- How Can We Advance Integrative Biology Research in Animal Science in 21st Century? Experience at University of Ljubljana from 2002 to 2022.Omics : a journal of integrative biology · 2022Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A cattle database of candidate genes and genetic markers for milk production and mastitis has been developed to provide an integrated research tool incorporating different types of information supporting a genomic approach to study lactation, udder development and health. The database contains 943 genes and genetic markers involved in mammary gland development and function, representing candidates for further functional studies. The candidate loci were drawn on a genetic map to reveal positional overlaps. For identification of candidate loci, data from seven different research approaches were exploited: (i) gene knockouts or transgenes in mice that result in specific phenotypes associated with mammary gland (143 loci); (ii) cattle QTL for milk production (344) and mastitis related traits (71); (iii) loci with sequence variations that show specific allele-phenotype interactions associated with milk production (24) or mastitis (10) in cattle; (iv) genes with expression profiles associated with milk production (207) or mastitis (107) in cattle or mouse; (v) cattle milk protein genes that exist in different genetic variants (9); (vi) miRNAs expressed in bovine mammary gland (32) and (vii) epigenetically regulated cattle genes associated with mammary gland function (1). Fourty-four genes found by multiple independent analyses were suggested as the most promising candidates and were further in silico analysed for expression levels in lactating mammary gland, genetic variability and top biological functions in functional networks. A miRNA target search for mammary gland expressed miRNAs identified 359 putative binding sites in 3'UTRs of candidate genes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.