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Efficient Algorithms for Multivariate Linear Mixed Models in Genome-wide Association Studies
Efficient Algorithms Multivariate Linear Mixed Models Genome-wide Association Studies
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2013/6/17
Multivariate linear mixed models (mvLMMs) have been widely used in many areas of genetics, and have attracted considerable recent interest in genome-wide association studies (GWASs). However, existing...
Replicability analysis for Genome-wide Association studies
Replicability analysis Genome-wide Association studies
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2012/11/22
The paramount importance of replicating associations is well recognized in the genome-wide associaton (GWA) research community, yet methods for assessing replicability of associations are scarce. Publ...
Bayesian Analysis of Multiway Tables in Association Studies: A Model Comparison Approach
Bayesian Analysis Multiway Tables Association Studies Model Comparison Approach
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2012/9/17
We consider the problem of statistical inference on unknown quantities structured as a multiway table. We show that such multiway tables are naturally formed by arranging regression coecients in comp...
Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Integrated analysis of variants pathways genome-wide association studies polygenic models of disease
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2012/9/18
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on suscep-tibility to disease. These small effects are difficult to map reliably in genetic as...
Simultaneous SNP identification in association studies with missing data
Hierarchical models Bayes models Gibbs sampling genome-wide association.
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2012/9/18
Association testing aims to discover the underlying relationship between genotypes (usually Single Nucleotide Polymorphisms, or SNPs) and phenotypes(attributes, or traits). The typically large data se...
A model selection approach to genome wide association studies
Genome wide association Multiple testing Linear regression,
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2010/10/14
For the vast majority of genome wide association studies (GWAS) published so far, statistical analysis was performed by testing markers individually. In this article we present some elementary statis...
Improving power in genome-wide association studies：weights tip the scale
Bonferroni correction Genome-wide association analysis Multiple testing Weightedp-values
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2010/4/26
Genome-wide association analysis has generated much discussion about how to preserve power
1 to detect signals despite the detrimental effect of multiple testing on power. We develop a weighted multi...