A simple Bayesian mixture model with a hybrid procedure for genome-wide association studies
نویسندگان
چکیده
منابع مشابه
A Bayesian Graphical Model for Genome-wide Association Studies (GWAS)
The present paradigm to analyze GWAS is to perform an exhausting testing of all single SNP associations with the response variable with the major drawback that the selected subset of SNPs has in general a very low predictive value. As a shift to the usual approach, we propose here a general statistical framework for GWAS based on Bayesian graphical modeling and able to: 1) Assess the joint effe...
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The primary goal of genome-wide association studies is to determine which genetic markers are associated with genetic traits, most commonly human diseases. As a result of the "large p, small n" nature of genome-wide association study data sets, and especially because of the collinearity due to linkage disequilibrium, multivariate regression results in an ill-posed problem. To overcome these obs...
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MOTIVATION Despite their success in identifying genes that affect complex disease or traits, current genome-wide association studies (GWASs) based on a single SNP analysis are too simple to elucidate a comprehensive picture of the genetic architecture of phenotypes. A simultaneous analysis of a large number of SNPs, although statistically challenging, especially with a small number of samples, ...
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A computationally simple genome-wide association study (GWAS) algorithm for estimating the main and epistatic effects of markers or single nucleotide polymorphisms (SNPs) is proposed. It is based on the intuitive assumption that changes of alleles corresponding to important SNPs in a pair of individuals lead to large difference of phenotype values of these individuals. The algorithm is based on...
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ژورنال
عنوان ژورنال: European Journal of Human Genetics
سال: 2010
ISSN: 1018-4813,1476-5438
DOI: 10.1038/ejhg.2010.51