Genome Wide Association Analyses Based On Broadly Different Specifications For Prior Distributions, Genomic Windows, And Estimation Methods
Chun‐Yu Chen, Juan Pedro Steibel, Robert John Tempelman
This paper compares different prior distributions and genomic window strategies for genome-wide association analysis, finding that heavy-tailed and variable selection priors with adaptive windows perform best.
Genetics · Jun 21, 2017Peer-reviewedGenetics