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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Yu, Chen, Sai, McGuire, Daniel, Chen, Fang, Liu, Mengzhen, Iacono, William G., Hewitt, John K., Hokanson, John E., Krauter, Kenneth, Laakso, Markku, Li, Kevin W., Lutz, Sharon M., McGue, Matthew, Pandit, Anita, Zajac, Gregory J. M., Boehnke, Michael, Abecasis, Goncalo R., Vrieze, Scott I., Zhan, Xiaowei, Jiang, Bibo, Liu, Dajiang J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063450/
https://www.ncbi.nlm.nih.gov/pubmed/30016313
http://dx.doi.org/10.1371/journal.pgen.1007452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063450/
https://www.ncbi.nlm.nih.gov/pubmed/30016313
http://dx.doi.org/10.1371/journal.pgen.1007452

Ejemplares similares