A gene-based test of association using canonical correlation analysis

  title={A gene-based test of association using canonical correlation analysis},
  author={Clara Sze-Man Tang and Manuel A. R. Ferreira},
  volume={28 6},
MOTIVATION Canonical correlation analysis (CCA) measures the association between two sets of multidimensional variables. We reasoned that CCA could provide an efficient and powerful approach for both univariate and multivariate gene-based tests of association without the need for permutation testing. RESULTS Compared with a commonly used permutation-based approach, CCA (i) is faster; (ii) has appropriate type-I error rate for normally distributed quantitative traits; (iii) provides comparable… CONTINUE READING
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