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Parametric and nonparametric multipoint linkage analysis with imprinting and two-locus-trait models: application to
1Institute for Medical Biometry, Informatics, and Epidemiology, University of Bonn, 53105 Bonn, Germany. strauch@imsdd.meb.uni-bonn.de
American Journal of Human Genetics
|May 5, 2000
Summary
We developed new genetic linkage analysis tools to study complex traits, including imprinting effects and multiple gene locations. These methods successfully identified potential genetic regions for mite allergen sensitization in human families.
Area of Science:
- Genetics
- Statistical Genetics
- Bioinformatics
Background:
- Genetically complex traits often involve multiple genes and parent-of-origin effects (imprinting).
- Existing linkage analysis methods may not fully account for these complexities, limiting genetic mapping accuracy.
Purpose of the Study:
- To extend linkage analysis for genetically complex traits by incorporating imprinting effects and multiple loci.
- To introduce new computational tools for genetic mapping of multifactorial diseases.
Main Methods:
- Developed parametric (LOD-score) analysis for imprinted genes, distinguishing paternal and maternal mutation effects.
- Formulated parametric and nonparametric linkage analysis for two trait loci in a multimarker setting, with optional imprinting.
- Implemented these extensions into the GENEHUNTER software as GENEHUNTER-IMPRINTING and GENEHUNTER-TWOLOCUS.
Main Results:
- Applied the new tools to human family data for mite allergen sensitization.
- Identified suggestive linkage regions using single-locus imprinting analysis, with a maximum LOD score of 4.76 near D8S511 (English population, maternal imprinting).
- Achieved a maximum LOD score of 6.09 using two-locus analysis in the German population (D4S430 and D18S452), suggesting maternal imprinting at both loci.
Conclusions:
- The novel formulations of linkage analysis are valuable for the genetic mapping of multifactorial traits.
- GENEHUNTER-IMPRINTING and GENEHUNTER-TWOLOCUS provide enhanced capabilities for complex trait genetic studies.