Comparison of the power and accuracy of biallelic and microsatellite markers in population-based gene-mapping methods.

Publisher: Cell Press Country of Publication: United States NLM ID: 0370475 Publication Model: Print Cited Medium: Print ISSN: 0002-9297 (Print) Linking ISSN: 00029297 NLM ISO Abbreviation: Am J Hum Genet Subsets: MEDLINE

Publication: 2008- : [Cambridge, MA] : Cell Press
Original Publication: Baltimore, American Society of Human Genetics.

Alleles* ; Linkage Disequilibrium* ; Microsatellite Repeats* ; Polymorphism, Genetic*; Chromosome Mapping/*methods; Humans ; Reproducibility of Results

Because of their great abundance and amenability to fully automated genotyping, single-nucleotide polymorphisms (SNPs) and simple insertion/deletion are emerging as a new generation of markers for positional cloning. Although the efficiency and cost associated with the markers are important in the mapping of human disease genes, the power to detect the linkage between the marker and the disease locus, as well as the accuracy of the estimation of the map location of the disease gene, dictate the selection of the markers. Both the power and the accuracy depend not only on the type of the markers but also on other factors, such as the age of the disease mutation, the magnitude of the genetic effect, the marker-allele distribution in the population, mutation rates of marker loci, the frequency of the disease allele, the recombination fraction, and the methods for mapping the human disease genes. In this article, we develop a mathematical framework and the analytical formulas for calculation of the power and the accuracy and investigate the impact that the aforementioned factors have on the power and the accuracy, by using two population-based gene-mapping methods-likelihood-based linkage-disequilibrium mapping and the transmission/disequilibrium test, for both biallelic SNPs and microsatellites. These studies provide not only guidance in selection of the markers and in the design of the sample scheme for positional cloning but also insight into the biological bases of the mapping of human disease genes.

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Date Created: 19990211 Date Completed: 19990413 Latest Revision: 20200824

20240829

PMC1377774

10.1086/302231

9973302