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-Abstract
One of the fundamental goals of most linkage studies is to localize a gene believed to be responsible for a trait locus by the investigation of its co-segregation with a genetic marker. Statistical techniques for linkage investigations have been introduced in the early 1930's. These were followed by the introduction of the log-odds approach (Morton 1955; Smith 1963) which provided standard methods to report and analyze linkage data collected from independent sib-ships. Because of the heterogeneity in the manner diseases affect families, use of the standard log-odds approach will result in a considerable reduction i the statistical power to detect linkage between disease trait and marker loci. This paper investigates the asymptotic properties of statistical tests that would be used to detect linkage under heterogeneity.
DOI
10.21608/esju.2003.313775
Keywords
Mixture Distributions, Likelihood Inference, EM algorithm, Statistical Power, Monte Carlo Study
Link
https://esju.journals.ekb.eg/article_313775.html
Detail API
https://esju.journals.ekb.eg/service?article_code=313775
Publication Title
The Egyptian Statistical Journal
Publication Link
https://esju.journals.ekb.eg/
MainTitle
Likelihood Ratio and Score Tests for Heterogeneity in Genetic Linkage