SurvivalGWAS_SV: software for the analysis of genome-wide association studies of imputed genotypes with “time-to-event” outcomes

SurvivalGWAS_SV: software for the analysis of genome-wide association studies of imputed genotypes with “time-to-event” outcomes

Abstract Background Analysis of genome-wide association studies (GWAS) with “time to event” outcomes have become increasingly popular, predominantly in the context of pharmacogenetics, where the survival endpoint could be death, disease remission or the occurrence of an adverse drug reaction. Howeve...

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Bibliographic Details
Main Authors: Hamzah Syed, Andrea L. Jorgensen, Andrew P. Morris
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BMC Bioinformatics
Subjects:
Genome-wide association study
Pharmacogenetics
Time to event
Cox proportional hazards
Weibull
Survival analysis
Online Access:http://link.springer.com/article/10.1186/s12859-017-1683-z

Internet

http://link.springer.com/article/10.1186/s12859-017-1683-z

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