Identification of missing variants by combining multiple analytic pipelines

Identification of missing variants by combining multiple analytic pipelines

Abstract Background After decades of identifying risk factors using array-based genome-wide association studies (GWAS), genetic research of complex diseases has shifted to sequencing-based rare variants discovery. This requires large sample sizes for statistical power and has brought up questions ab...

Full description

Bibliographic Details
Main Authors: Yingxue Ren, Joseph S. Reddy, Cyril Pottier, Vivekananda Sarangi, Shulan Tian, Jason P. Sinnwell, Shannon K. McDonnell, Joanna M. Biernacka, Minerva M. Carrasquillo, Owen A. Ross, Nilüfer Ertekin-Taner, Rosa Rademakers, Matthew Hudson, Liudmila Sergeevna Mainzer, Yan W. Asmann
Format: Article
Language:English
Published: BMC 2018-04-01
Series:BMC Bioinformatics
Subjects:
Missing variants
Combining multiple bioinformatics pipelines
Rare variants
Online Access:http://link.springer.com/article/10.1186/s12859-018-2151-0

Internet

http://link.springer.com/article/10.1186/s12859-018-2151-0

Similar Items