Density-based clustering in haplotype analysis for association mapping
نویسندگان
چکیده
منابع مشابه
Density-based clustering in haplotype analysis for association mapping
Clustering of related haplotypes in haplotype-based association mapping has the potential to improve power by reducing the degrees of freedom without sacrificing important information about the underlying genetic structure. We have modified a generalized linear model approach for association analysis by incorporating a density-based clustering algorithm to reduce the number of coefficients in t...
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Linkage disequilibrium (LD) mapping for complex diseases using haplotypes has been intensively studied recently due to increased availability of large-scale dense SNP (single nucleotide polymorphism) markers. Such an LD mapping has many applications, e.g. finding disease-associated haplotypes and predicting disease susceptibility (DS) gene loci from a whole genome scan. In this research, we dev...
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Haplotypes of closely linked single-nucleotide polymorphisms (SNPs) potentially offer greater power than individual SNPs to detect association between genetic variants and disease. We present a novel approach for association mapping in which density-based clustering of haplotypes reduces the dimensionality of the general linear model (GLM)-based score test of association implemented in the Hapl...
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Association studies, both family-based and population-based, can be powerful means of detecting disease-liability alleles. To increase the information of the test, various researchers have proposed targeting haplotypes. The larger number of haplotypes, however, relative to alleles at individual loci, could decrease power because of the additional degrees of freedom required for the test. An opt...
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ژورنال
عنوان ژورنال: BMC Proceedings
سال: 2007
ISSN: 1753-6561
DOI: 10.1186/1753-6561-1-s1-s27