Application of bayesian genomic prediction methods to genome-wide association analyses

HIGHLIGHTS

• who: Anna Wolc from the (UNIVERSITY) have published the Article: Application of Bayesian genomic prediction methods to genome-wide association analyses, in the Journal: (JOURNAL)
• what: Against this background, the purpose of this paper is to review selected developments in Bayesian models for GWA, for improving the use of information of sequence data, and for using additional omics data to explore biological processes that underlie genetic variation in quantitative traits. As a result, this approach has not been used extensively. In contrast to the approach by Onteru et_al , this approach does not require bootstrapping but . . .
  

   

  

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