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Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies

  • Author(s): Wiemels, Joseph
  • Zhang, X
  • Xue, F
  • Liu, H
  • Zhu, D
  • Peng, B
  • Wiemels, JL
  • Yang, X
  • et al.

Published Web Location

http://europepmc.org/articles/PMC4275962?pdf=render
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Abstract

© 2014 Zhang et al.Background: Genome-wide Association Studies (GWAS) are typically designed to identify phenotype-associated single nucleotide polymorphisms (SNPs) individually using univariate analysis methods. Though providing valuable insights into gen

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