Document Detail


CGene: an R package for implementation of causal genetic analyses.
MedLine Citation:
PMID:  21731061     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The excitement over findings from Genome-Wide Association Studies (GWASs) has been tempered by the difficulty in finding the location of the true causal disease susceptibility loci (DSLs), rather than markers that are correlated with the causal variants. In addition, many recent GWASs have studied multiple phenotypes--often highly correlated--making it difficult to understand which associations are causal and which are seemingly causal, induced by phenotypic correlations. In order to identify DSLs, which are required to understand the genetic etiology of the observed associations, statistical methodology has been proposed that distinguishes between a direct effect of a genetic locus on the primary phenotype and an indirect effect induced by the association with the intermediate phenotype that is also correlated with the primary phenotype. However, so far, the application of this important methodology has been challenging, as no user-friendly software implementation exists. The lack of software implementation of this sophisticated methodology has prevented its large-scale use in the genetic community. We have now implemented this statistical approach in a user-friendly and robust R package that has been thoroughly tested. The R package 'CGene' is available for download at http://cran.r-project.org/. The R code is also available at http://people.hsph.harvard.edu/~plipman.
Authors:
Peter J Lipman; Christoph Lange
Publication Detail:
Type:  Journal Article     Date:  2011-07-06
Journal Detail:
Title:  European journal of human genetics : EJHG     Volume:  19     ISSN:  1476-5438     ISO Abbreviation:  Eur. J. Hum. Genet.     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-11-17     Completed Date:  2012-04-23     Revised Date:  2014-09-20    
Medline Journal Info:
Nlm Unique ID:  9302235     Medline TA:  Eur J Hum Genet     Country:  England    
Other Details:
Languages:  eng     Pagination:  1292-4     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms
Genetic Predisposition to Disease*
Genome-Wide Association Study*
Humans
Internet
Models, Statistical
Software*
Grant Support
ID/Acronym/Agency:
R01 MH087590/MH/NIMH NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  A novel locus for autosomal dominant congenital cerulean cataract maps to chromosome 12q.
Next Document:  Reduced dietary salt for the prevention of cardiovascular disease: a meta-analysis of randomized con...