R PheWAS: Data analysis and plotting tools for phenome-wide association studies in the R environment

Bioinformatics

Volumn 30, Issue 16, 2014, Pages 2375-2376

  Carroll, Robert J ^a   Bastarache, Lisa ^a   Denny, Joshua C ^a  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAM; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENETICS; HUMAN; MULTIPLE SCLEROSIS; PHENOTYPE; PROCEDURES; STATISTICAL ANALYSIS;

DATA INTERPRETATION, STATISTICAL; GENETIC ASSOCIATION STUDIES; GENETIC VARIATION; HUMANS; MULTIPLE SCLEROSIS; PHENOTYPE; SOFTWARE;

EID: 84906273890     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu197     Document Type: Article

References (8)

1. De Jager, P.L. et al. (2009) Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci. Nat. Genet., 41, 776-782.
2. Denny, J.C. et al. (2010) PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics, 26, 1205-1210.
3. Denny, J.C. et al. (2011) Variants near FOXE1 are associated with hypothyroidism and other thyroid conditions: using electronic medical records for genome- and phenome-wide studies. Am. J. Hum. Genet., 89, 529-542.
4. Denny, J.C. et al. (2013) Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nat. Biotechnol., 31, 1102-1110.
5. Marchini, J. et al. (2007) A new multipoint method for genome-wide association studies by imputation of genotypes. Nat. Genet., 39, 906-913.
6. Pendergrass, S.A. et al. (2012) Visually integrating and exploring high throughput phenome-wide association study (PheWAS) results using PheWAS-view. BioData Min., 5, 5.
7. Pendergrass, S.A. et al. (2013) Phenome-wide association study (PheWAS) for detection of pleiotropy within the population architecture using genomics and epidemiology (PAGE) network. PLoS Genet., 9, e1003087.
8. Purcell, S. et al. (2007) PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet., 81, 559-575.