[PDF] Top 20 Identifying rare variants using a Bayesian regression approach
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Identifying rare variants using a Bayesian regression approach
... with rare variants in a cost-effective ...test variants individually are underpowered to detect rare variants, so it is desirable to perform association analysis of rare ... See full document
5
Evaluation of logistic Bayesian LASSO for identifying association with rare haplotypes
... replicate using hapassoc and ...of rare haplotypes in both regions ...functional variants (the third functional variant has almost a negligible effect) is exceptionally high for a sample size of only ... See full document
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Post hoc Analysis for Detecting Individual Rare Variant Risk Associations Using Probit Regression Bayesian Variable Selection Methods in Case-Control Sequencing Studies.
... ABSTRACT: Rare variants have been shown to be significant contributors to complex disease ...these variants have very low minor allele frequencies and traditional single-marker methods for ... See full document
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A clustering approach to identify rare variants associated with hypertension
... Surprisingly, the findings by the two methods show very little overlap: only one marker is detected by both methods at SNP position 141164276 in gene ZBTB38 . One gene, MAP4 , could be detected in different re- gions by ... See full document
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Bayesian approach to determining penetrance of pathogenic SDH variants
... individually rare, the collective frequency of known P/LP SDHB, SDHC and SDHA variants in ExAC was highly surprising and may have several explanations: (1) these hereditary endocrine disorders are more ... See full document
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Assessing Gene-Environment Interactions for Common and Rare Variants with Binary Traits Using Gene-Trait Similarity Regression
... common variants, where the major task is to avoid a large number of parameters for modeling G, E, and G3E ...model-free approach based on a summation of partitions to evaluate the interaction effects for ... See full document
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Integrated Bayesian analysis of rare exonic variants to identify risk genes for schizophrenia and neurodevelopmental disorders
... CC rare-variant results in SCZ [5–8] (Additional file 1: Table S9); however, some evi- dence exists for disjoint risk genes for DN vs CC protein- truncating variants ...are using public data sets ... See full document
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Digging into the extremes: a useful approach for the analysis of rare variants with continuous traits?
... that rare variants with large effects will have a strong impact on corresponding ...that rare functional variants are enriched in the extremes of the phenotype ...with rare ... See full document
6
Bayesian Quantile Regression.
... a Bayesian model averaging. A common approach to posterior compu- tation for a parameter space of varying dimension is through the reversible jump MCMC method, but its implementation can be ...alternative ... See full document
122
New insights into old methods for identifying causal rare variants
... a rare variant despite its low allele frequency and thus is effective in capturing the effect of the rare ...inverse regression (SIR) to top-ranked markers selected by the ...in identifying ... See full document
5
Identifying rare and common variants with Bayesian variable selection
... sequencing, rare var- iants with a minor allele frequency (MAF) of less than 1 to approximately 5 % are getting more attention in genome-wide association studies (GWAS) to account for the “missing” heritability ... See full document
6
Identifying influential regions in extremely rare variants using a fixed bin approach
... Genetic Analysis Workshop 17 (GAW17) contains a simu- lated data set of 3,205 autosomal genes with 24,487 single- nucleotide polymorphisms (SNPs) genotyped on 697 sub- jects. The 1000 Genomes Project provided SNP ... See full document
6
Bayesian Regression Using Priors On The Model Fit.
... We study the predictive performance of the BEERS prior through a simulation study of real examples. These three data sets have many more parameters than observations, and have very different correlation structures. The ... See full document
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Generalized exponential distribution: A Bayesian approach using MCMC methods Pages 1-14 Download PDF
... The use of the generalized exponential distribution with density (1) could be a good alternative to analyse lifetime data, in comparison to the popular gamma distribution. Observe that the survival function (see (2)) for ... See full document
14
Exact association test for small size sequencing data
... new approach that does not rely on the asymptotic distribution for the NGS data with small ...independence, using 2 × 2 contingency tables, with small ... See full document
11
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning
... However, the independence hypothesis assumed in the naive Bayes predictor is usually violated for real data sets. In this case, estimates of the conditional probabilities are deteriorated as already noticed in the work ... See full document
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A rare event approach to high dimensional approximate Bayesian computation
... dard ABC posterior (1). ADAPT-RE-ABC involves biased likelihood estimates so does not sample from exactly this density. However, the bias introduced is small and may have little effect compared to the efficiency benefits ... See full document
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Applications of Granger causality to biological data
... Due to the complexity of biological processes, in order to capture the dynamics of complex systems and investigate the functions of genes and neu- rons in detail, it is much better to treat the network as a whole instead ... See full document
203
Plant selection for ethnobotanical uses on the Amalfi Coast (Southern Italy)
... over-use using the binomial and Bayesian ...linear regression model was not included as it is not a test of proportional ...power using the Bayesian method to detect under- use in DTS2, ... See full document
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Detection of rare functional variants using group ISIS
... genetic variants and complex traits or ...common variants. Detecting rare functional variants becomes a trend and a ...Because rare variants have such a small minor allele ... See full document
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