Selected article for: "additional advantage and logistic regression model"
Author: A.J.W. Haasnoot; M.W. Schilham; S.S.M. Kamphuis; P.C.E. Hissink Muller; A. Heiligenhaus; D. Foell; R.A. Ophoff; T.R.D.J. Radstake; A.I. Den Hollander; T.H.C.M. Reinards; S. Hiddingh; N. Schalij-Delfos; E.P.A.H. Hoppenreijs; M.A.J. van Rossum; C. Wouters; R.K. Saurenmann; N. Wulffraat; R. ten Cate; J.H. de Boer; S.L. Pulit; J.J.W. Kuiper
Title: An amino acid motif in HLA-DRß1 distinguishes patients with uveitis in juvenile idiopathic arthritis
  • Document date: 2017_5_22
    • ID: 4it5c9n2_11
    Snippet: To identify the amino acids or HLA types driving the genome-wide association signal, we performed a mega-analysis across the imputed MHC data. We first merged imputation dosages from Phase 1 and Phase 2, and then used PLINK 1.9 31 to perform logistic regression, assuming an additive model and correcting for the top 5 principal components, sex, and analysis phase (i.e., Phase 1 or Phase 2). This 'mega-analysis' approach is theoretically and empiri.....
    Document: To identify the amino acids or HLA types driving the genome-wide association signal, we performed a mega-analysis across the imputed MHC data. We first merged imputation dosages from Phase 1 and Phase 2, and then used PLINK 1.9 31 to perform logistic regression, assuming an additive model and correcting for the top 5 principal components, sex, and analysis phase (i.e., Phase 1 or Phase 2). This 'mega-analysis' approach is theoretically and empirically highly similar to inverse variance-weighted meta-analysis. 33, 34 We also performed a meta-analysis across Phase 1 and Phase 2 and found that, indeed, the odds ratios derived from mega-analysis and meta-analysis in the MHC were highly concordant (Pearson's r = 0.95, Supplementary Figure 4) . The mega-analysis allows for the additional advantage of allowing for interaction testing and conditional analysis on any associated variants across the full dataset.

    Search related documents:
    Co phrase search for related documents
    • additive model and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
    • additive model and meta analysis: 1, 2, 3
    • additive model and principal component: 1, 2, 3
    • amino acid and analysis phase: 1, 2, 3
    • amino acid and association signal: 1, 2, 3, 4, 5
    • amino acid and HLA type: 1, 2, 3, 4
    • amino acid and HLA type amino acid: 1
    • amino acid and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • amino acid and logistic regression perform: 1
    • amino acid and mega analysis: 1, 2, 3, 4
    • amino acid and meta analysis: 1, 2, 3, 4, 5, 6
    • amino acid and principal component: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • analysis phase and association signal: 1
    • analysis phase and conditional analysis: 1
    • analysis phase and logistic regression: 1, 2, 3, 4, 5, 6, 7
    • analysis phase and meta analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • association signal and logistic regression: 1, 2
    • association signal and meta analysis: 1, 2, 3, 4, 5, 6