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Guidelines for genotyping in genomewide linkage studies: single-nucleotide-polymorphism maps versus microsatellite
1Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom. davide@well.ox.ac.uk
American Journal of Human Genetics
|August 18, 2004
Summary
Dense single-nucleotide polymorphism (SNP) maps offer superior linkage detection power compared to traditional microsatellite maps. Simulations show denser marker maps are crucial for maximizing inheritance information, especially without parental genotypes.
Area of Science:
- Genetics
- Genomics
- Statistical Genetics
Background:
- Genomewide linkage scans traditionally use microsatellite markers at ~10 cM intervals.
- Single-nucleotide polymorphisms (SNPs) offer potential for higher resolution genetic mapping.
- Marker density and heterozygosity/minor allele frequency impact linkage analysis power.
Purpose of the Study:
- To simulate and compare the information content of microsatellite and SNP maps for linkage detection.
- To evaluate the effect of marker density and allele frequencies on inheritance information.
- To assess map performance with and without parental genotypes in various family structures.
Main Methods:
- Performed simulations varying microsatellite density (0.5-10 cM) and heterozygosity (2-20 alleles).
- Simulated SNP density (0.1-1 cM) and minor allele frequency (0.01-0.5).
- Calculated information content for sib pairs, trios, and quads, with and without parental genotypes.
Main Results:
- With parental genotypes, 2 cM microsatellite or 1 SNP/cM maps captured >95% information.
- Without parental genotypes, denser maps (both SNP and microsatellite) maximized inheritance information.
- Traditional ~10 cM microsatellite maps had significantly lower information content than dense SNP maps.
Conclusions:
- Dense SNP maps provide equal or superior power for linkage detection compared to sparse microsatellite maps.
- Reanalysis of previous linkage studies using denser marker maps could yield substantial benefits.
- Marker density is critical for maximizing genetic information, particularly in the absence of parental data.