W
Wenan Chen
Researcher at Mayo Clinic
Publications - 4
Citations - 311
Wenan Chen is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Bayes factor & Bayesian statistics. The author has an hindex of 4, co-authored 4 publications receiving 255 citations.
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Journal ArticleDOI
Fine Mapping Causal Variants with an Approximate Bayesian Method Using Marginal Test Statistics.
Wenan Chen,Beth R. Larrabee,Inna G. Ovsyannikova,Richard B. Kennedy,Iana H. Haralambieva,Gregory A. Poland,Daniel J. Schaid +6 more
TL;DR: This study shows that CAVIar and BIMBAM are actually approximately equivalent to each other, and develops a fine-mapping method using marginal test statistics in the Bayesian framework, which is called CAVIAR Bayes factor (CAVIARBF).
Journal ArticleDOI
Incorporating Functional Annotations for Fine-Mapping Causal Variants in a Bayesian Framework Using Summary Statistics
TL;DR: A Bayesian framework to incorporate functional annotations in a systematic manner is proposed and the maximum a posteriori solution is computed and cross validation is used to find the optimal penalty parameters.
Journal ArticleDOI
Small Sample Kernel Association Tests for Human Genetic and Microbiome Association Studies.
TL;DR: This work derives an exact test for KAT with continuous traits, which resolve the small sample conservatism of KAT without the need for resampling, and proposes a similar approximate test for binary traits that has significantly improved power to detect association for microbiome studies.
Journal ArticleDOI
PedBLIMP: Extending Linear Predictors to Impute Genotypes in Pedigrees
Wenan Chen,Daniel J. Schaid +1 more
TL;DR: It is found that incorporating the pedigree/IBD information can improve imputation accuracy compared to BLIMP, and when sparse markers are in a certain density range, the method can outperform both IMPUTE2 and GIGI.