ReviewMammalian genome : official journal of the International Mammalian Genome Society2008
A critical analysis of disease-associated DNA polymorphisms in the genes of cattle, goat, sheep, and pig.
Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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
21 citing papers in PubMed, 124 citations in OpenAlex.
- Causal variants in animal genomes: approaches to identification, phenotypic impact, and implications for selective breeding.BMC genomics · 2026Review
- A comprehensive genome-wide analysis for signatures of selection in goat (genus Capra) revealed new candidate genes for environmental adaptation and productive traits.BMC genomics · 2025Article
- Whole-Genome Resequencing Analysis of theInternational journal of molecular sciences · 2024Article
- Article
- Investigating Polymorphisms and Expression Profile of Immune, Antioxidant, and Erythritol-Related Genes for Limiting Postparturient Endometritis in Holstein Cattle.Veterinary sciences · 2023Article
- Biological Health Markers Associated with Oxidative Stress in Dairy Cows during Lactation Period.Metabolites · 2023Review
- Individual Genomic Loci and mRNA Levels of Immune Biomarkers Associated with Pneumonia Susceptibility in Baladi Goats.Veterinary sciences · 2023Article
- Suitability of GWAS as a Tool to Discover SNPs Associated with Tick Resistance in Cattle: A Review.Pathogens (Basel, Switzerland) · 2021Review
- Complement component 3: characterization and association with mastitis resistance in Egyptian water buffalo and cattle.Journal of genetics · 2017Article
- Prevalence of bovine dermatophilosis and disease-associated alleles in zebu Goudali cattle and their Italian Simmental crosses ranching in the western highland plateau savannah of Cameroon.Tropical animal health and production · 2016Article
- Genomic population structure and prevalence of copy number variations in South African Nguni cattle.BMC genomics · 2015Article
- Retroviral infections in sheep and goats: small ruminant lentiviruses and host interaction.Viruses · 2013Review
- Evolutionary dynamics of copy number variation in pig genomes in the context of adaptation and domestication.BMC genomics · 2013Article
- Massive screening of copy number population-scale variation in Bos taurus genome.BMC genomics · 2013Article
- Analysis of genetic variability at codon 42 within caprine prion protein gene in relation to production traits in Chinese domestic breeds.Molecular biology reports · 2012Article
- Drosophila melanogaster Selection for Survival of Bacillus cereus Infection: Life History Trait Indirect Responses.International journal of evolutionary biology · 2012Article
- Global assessment of genomic variation in cattle by genome resequencing and high-throughput genotyping.BMC genomics · 2011Article
- Polymorphisms of the prion protein gene and their effects on litter size and risk evaluation for scrapie in Chinese Hu sheep.Virus genes · 2011Article
- Copy number variation in the bovine genome.BMC genomics · 2010Article
- A critical analysis of production-associated DNA polymorphisms in the genes of cattle, goat, sheep, and pig.Mammalian genome : official journal of the International Mammalian Genome Society · 2008Review
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
Genetic variations through their effects on gene expression and protein function underlie disease susceptibility in farm animal species. The variations are in the form of single nucleotide polymorphisms, deletions/insertions of nucleotides or whole genes, gene or whole chromosomal rearrangements, gene duplications, and copy number polymorphisms or variants. They exert varying degrees of effects on gene action, such as substitution of an amino acid for another, shift in reading frame and premature termination of translation, and complete deletion of entire exon(s) or gene(s) in diseased individuals. These factors influence gene function by affecting mRNA splicing pattern or by altering/eliminating protein function. Elucidating the genetic bases of diseases under the control of many genes is very challenging, and it is compounded by several factors, including host x pathogen x environment interactions. In this review, the genetic variations that underlie several diseases of livestock (under monogenic and polygenic control) are analyzed. Also, factors hampering research efforts toward identification of genetic influences on animal disease identification and control are highlighted. A better understanding of the factors analyzed could be better harnessed to effectively identify and control, genetically, livestock diseases. Finally, genetic control of animal diseases can reduce the costs associated with diseases, improve animal welfare, and provide healthy animal products to consumers, and should be given more attention.
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.