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

被引:266
作者
Carroll, Robert J. [1 ]
Bastarache, Lisa [1 ]
Denny, Joshua C. [1 ,2 ]
机构
[1] Vanderbilt Univ, Sch Med, Dept Biomed Informat, Nashville, TN 37212 USA
[2] Vanderbilt Univ, Sch Med, Dept Med, Nashville, TN 37212 USA
关键词
GENOME;
D O I
10.1093/bioinformatics/btu197
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Phenome-wide association studies (PheWAS) have been used to replicate known genetic associations and discover new phenotype associations for genetic variants. This PheWAS implementation allows users to translate ICD-9 codes to PheWAS case and control groups, perform analyses using these and/or other phenotypes with covariate adjustments and plot the results. We demonstrate the methods by replicating a PheWAS on rs3135388 (near HLA-DRB, associated with multiple sclerosis) and performing a novel PheWAS using an individual's maximum white blood cell count (WBC) as a continuous measure. Our results for rs3135388 replicate known associations with more significant results than the original study on the same dataset. Our PheWAS of WBC found expected results, including associations with infections, myeloproliferative diseases and associated conditions, such as anemia. These results demonstrate the performance of the improved classification scheme and the flexibility of PheWAS encapsulated in this package.
引用
收藏
页码:2375 / 2376
页数:2
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