Bayesian model search and multilevel inference for SNP association studies
نویسندگان
چکیده
منابع مشابه
Bayesian Model Search and Multilevel Inference for Snp Association Studies.
Technological advances in genotyping have given rise to hypothesis-based association studies of increasing scope. As a result, the scientific hypotheses addressed by these studies have become more complex and more difficult to address using existing analytic methodologies. Obstacles to analysis include inference in the face of multiple comparisons, complications arising from correlations among ...
متن کاملBayesian Model Search and Multilevel Inference for Snp Association Studies by Melanie
Technological advances in genotyping have given rise to hypothesisbased association studies of increasing scope. As a result, the scientific hypotheses addressed by these studies have become more complex and more difficult to address using existing analytic methodologies. Obstacles to analysis include inference in the face of multiple comparisons, complications arising from correlations among t...
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Missing single nucleotide polymorphisms (SNPs) are quite common in genetic association studies. Subjects with missing SNPs are often discarded in analyses, which may seriously undermine the inference of SNP-disease association. In this article, we develop two haplotype-based imputation approaches and one tree-based imputation approach for association studies. The emphasis is to evaluate the imp...
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Bayesian inference for complex hierarchical models with smoothing splines is typically intractable, requiring approximate inference methods for use in practice. Markov Chain Monte Carlo (MCMC) is the standard method for generating samples from the posterior distribution. However, for large or complex models, MCMC can be computationally intensive, or even infeasible. Mean Field Variational Bayes...
متن کاملSearch for Multi-snp Disease Association
Motivation: Recent improvements in the accessibility of high-throughput genotyping have brought a great deal of attention to association studies for common complex diseases. The two-loci analysis was recently developed (Marchini et al, 2005) but multi-loci analyses are expected to find even stronger disease associations. Results: A novel combinatorial method for finding disease-associated multi...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2010
ISSN: 1932-6157
DOI: 10.1214/09-aoas322