As a large number of single nucleotide polymorphisms (SNPs) and microsatellite
markers are available, high resolution mapping employing multiple markers or
multiple allele markers is an important step to identify quantitative trait locus (QTL)
of complex human disease. For many complex diseases, quantitative phenotype values
contain more information than dichotomous traits do.
Much research has been done on conducting high resolution mapping using information
of linkage and linkage disequilibrium. The most commonly employed approaches
for mapping QTL are pedigree-based linkage analysis and population-based
association analysis. As one of the methods dealing with multiple alleles markers,
mixed models are developed to work out family-based association study with the information
of transmitted allele and nontransmitted allele from one parent to offspring.
For multiple markers, variance component models are proposed to perform association
study and linkage analysis simultaneously. Linkage analysis provides suggestive
linkage based on a broad chromosome region and is robust to population admixtures.
One the other hand, allelic association due to linkage disequilibrium (LD) usually
operates over very short genetic distance, but is affected by population stratification.
Combining both approaches plays a synergistic role in overcoming their limitations
and in increasing the efficiency and effectiveness of gene mapping.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/2681 |
| Date | 01 November 2005 |
| Creators | Jung, Jeesun |
| Contributors | Fan, Ruzong |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 867081 bytes, electronic, application/pdf, born digital |
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