Proper Conditional Analysis in the Presence of Missing Data Identified Novel Independently Associated Low Frequency Variants in Nicotine Dependence Genes
Bibo Jiang, Sai Chen, Yu Jiang, Mengzhen Liu, William G. Iacono, John K. Hewitt, John E. Hokanson, Kenneth S. Krauter, Markku Laakso, Kevin W. Li, Sharon Marie Lutz, Matthew McGue, Daniel McGuire, Anita Pandit, Gregory J. M. Zajac, , Dajiang J. Liu
The paper develops a method to handle missing data in genetic meta-analysis, identifying novel low-frequency variants in nicotine dependence genes with improved accuracy.
bioRxiv · Nov 21, 2017 · PreprintGenetics