Article
Use of the Serial Analysis of Gene Expression (SAGE) method in veterinary research: A concrete application in the study of the bovine trypanotolerance genetic control.
Cirad-Prise, c/o National Institute for Animal Husbandry (NIAH), Thuy Phuong, Tu Liem, Hanoï, Vietnam.
Annals of the New York Academy of Sciences (impact factor:
3.15).
11/2004;
1026:171-82.
DOI:10.1196/annals.1307.026
Source: PubMed
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Citations (0)
- Cited In (1)
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Article: A critical analysis of disease-associated DNA polymorphisms in the genes of cattle, goat, sheep, and pig.
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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.Mammalian Genome 05/2008; 19(4):226-45. · 2.89 Impact Factor
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Keywords
Bioinformatic comparisons
design field marker-assisted selection
downregulated genes
entire gene(s)
experimental Trypanosoma congolense infection
expressed genes
functional genes
Gene Expression
genes
genetic control
introgression programs
pharmacological studies
quantitative analysis
quantitative trait locus approach
Serial Analysis
specific biological functions
specific microarrays sets
total mRNA transcripts libraries
trypanotolerant N'Dama animal cow
unknown functional genes