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Population parameters incorporated into genome-wide tagSNP selection
1Institute of Genetics, Biostatistics Group, Wroclaw University of Environmental and Life Sciences, Kozuchowska 7, 51-631 Wroclaw, Poland. ap.silesian@gmail.com
Animal : an International Journal of Animal Bioscience
|March 26, 2013
Summary
Selecting informative single nucleotide polymorphisms (SNPs), known as tagSNPs, is crucial for genomic analysis. This study found that population genetic structure has minimal impact on tagSNP selection, simplifying data processing.
Area of Science:
- Genomics
- Population Genetics
- Bioinformatics
Background:
- Single nucleotide polymorphisms (SNPs) are abundant genomic variations, but their sheer number complicates data analysis.
- TagSNPs, a subset of SNPs, can represent larger genomic regions using linkage disequilibrium, reducing data complexity.
- Efficient SNP selection is vital for cost-effective and timely genomic studies.
Purpose of the Study:
- To investigate the influence of population genetic structure, including relationship and inbreeding coefficients, on tagSNP selection.
- To determine if variations in population substructure affect the identification of representative tagSNPs.
- To assess the impact of genetic diversity on the efficiency of SNP data reduction.
Main Methods:
- Utilized the Illumina BovineSNP50 Bead Chip data from 1228 Polish Holstein-Friesian bulls.
- Selected six subsets of 450 bulls each to represent varying population structures.
- Performed tagSNP selection on each subset and the entire dataset using linkage disequilibrium information.
Main Results:
- An average reduction of 77.2% in SNP number was achieved across all analyses.
- TagSNP selection showed high consistency, with an average overlap of 93.88% between subsets.
- Differences in tagSNP selection were minimal despite variations in the genetic structure of the reference populations.
Conclusions:
- Population genetic structure has a negligible effect on tagSNP selection in this Holstein-Friesian cattle population.
- The findings suggest that tagSNP selection methods are robust across different population substructures.
- This supports the use of tagSNPs for efficient genomic analysis, even in populations with some degree of genetic stratification.
Related Concept Videos
01:05Single Nucleotide Polymorphisms-SNPs
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
01:11Genome-wide Association Studies-GWAS
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...