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

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

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 are measured for all variants in contributing studies. In practice, genotype...

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Bibliographic Details
Main Authors: Yu Jiang, Sai Chen, Daniel McGuire, Fang Chen, Mengzhen Liu, William G Iacono, John K Hewitt, John E Hokanson, Kenneth Krauter, Markku Laakso, Kevin W Li, Sharon M Lutz, Matthew McGue, Anita Pandit, Gregory J M Zajac, Michael Boehnke, Goncalo R Abecasis, Scott I Vrieze, Xiaowei Zhan, Bibo Jiang, Dajiang J Liu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-07-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1007452
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