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    • Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes 

      Jiang, Y; Chen, S; McGuire, D; Chen, F; Liu, M; Iacono, WG; Hewitt, JK; Hokanson, JE; Krauter, K; Laakso, M; Li, KW; Lutz, SM; McGue, M; Pandit, A; Zajac, GJM; Boehnke, M; Abecasis, GR; Vrieze, SI; Zhan, X; Jiang, B; et al. (Public Library of Science (PLoS), 2018)
      Meta-analysis of genetic association studies increases sample size and the power for mapping complex traits. Existing methods are mostly developed for datasets without missing values, i.e. the summary association statistics ...
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