Rat gene mapping using PCR-analyzed microsatellites
Article Abstract:
A rat gene map was constructed using 174 distinct rat sequences derived from public data bases to generate sequence tagged microsatellite sites (STMSs) through polymerase chain reaction techniques. Since the 174 loci represented mostly protein coding regions, the resulting map is also a gene map. The analysis showed that STMSs with more than 10 repeats of each motif were more likely to be polymorphic. The microsatellite loci were also highly stable, making them amenable for linkage studies. The results showed that the use of STMSs is a powerful method for resolving the rat gene map.
Publication Name: Genetics
Subject: Biological sciences
ISSN: 0016-6731
Year: 1992
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A general Monte Carlo method for mapping multiple quantitative trait loci
Article Abstract:
The mapping of multiple quantitative trait loci (QTL) may prove difficult especially when dominant markers are used in experiments in outbred populations. To simplify mapping in such situations, a general and flexible Monte Carlo expectation-maximization algorithm was developed. The algorithm is simple to implement in standard statistical software but the computation of data may take considerable time. The algorithm was tested using a three-QTL model of an outbreeding experiment involving dominant markers.
Publication Name: Genetics
Subject: Biological sciences
ISSN: 0016-6731
Year: 1996
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Linkage analysis using co-phenotypes in the BRIGHT study reveals novel potential susceptibility loci for hypertension
Article Abstract:
The development of a score test for the Rice-Holmans model and its application to multiple phenotypic covariates and genome-scan data from the affected sibling pairs in the BRIGHT study are described. This is the first identity-by-descent regression analysis of hypertension and it has shown the value of this approach for the incorporation of additional phenotypic information in genetic studies of complex traits.
Publication Name: American Journal of Human Genetics
Subject: Biological sciences
ISSN: 0002-9297
Year: 2006
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