Center for Systems Genomics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, Eberly College of Science, The Huck Institutes of the Life Sciences, University Park, PA, USA.
BioData Min. 2012 Jun 8;5(1):5. doi: 10.1186/1756-0381-5-5.
Phenome-Wide Association Studies (PheWAS) can be used to investigate the association between single nucleotide polymorphisms (SNPs) and a wide spectrum of phenotypes. This is a complementary approach to Genome Wide Association studies (GWAS) that calculate the association between hundreds of thousands of SNPs and one or a limited range of phenotypes. The extensive exploration of the association between phenotypic structure and genotypic variation through PheWAS produces a set of complex and comprehensive results. Integral to fully inspecting, analysing, and interpreting PheWAS results is visualization of the data.
We have developed the software PheWAS-View for visually integrating PheWAS results, including information about the SNPs, relevant genes, phenotypes, and the interrelationships between phenotypes, that exist in PheWAS. As a result both the fine grain detail as well as the larger trends that exist within PheWAS results can be elucidated.
PheWAS can be used to discover novel relationships between SNPs, phenotypes, and networks of interrelated phenotypes; identify pleiotropy; provide novel mechanistic insights; and foster hypothesis generation - and these results can be both explored and presented with PheWAS-View. PheWAS-View is freely available for non-commercial research institutions, for full details see http://ritchielab.psu.edu/ritchielab/software.
表型全基因组关联研究(PheWAS)可用于研究单核苷酸多态性(SNP)与广泛表型之间的关联。这是一种与全基因组关联研究(GWAS)互补的方法,GWAS 计算了数十万 SNP 与一种或有限数量表型之间的关联。通过 PheWAS 广泛探索表型结构与基因型变异之间的关联,产生了一组复杂而全面的结果。全面检查、分析和解释 PheWAS 结果的关键是数据可视化。
我们开发了 PheWAS-View 软件,用于直观地整合 PheWAS 结果,包括 PheWAS 中存在的 SNP、相关基因、表型以及表型之间相互关系的信息。因此,可以阐明 PheWAS 结果中存在的细粒度细节以及较大趋势。
PheWAS 可用于发现 SNP、表型和相互关联的表型网络之间的新关系;识别多效性;提供新的机制见解;并促进假说生成——可以使用 PheWAS-View 探索和呈现这些结果。PheWAS-View 可供非商业研究机构免费使用,详情请访问 http://ritchielab.psu.edu/ritchielab/software。