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首页> 外文期刊>BioData Mining >Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View
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Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View

机译:使用PheWAS-View可视化地集成和探索高通量现象广泛关联研究(PheWAS)结果

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Background 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. Results 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. Conclusions 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 webcite .
机译:背景现象广泛关联研究(PheWAS)可用于研究单核苷酸多态性(SNP)与广泛的表型之间的关联。这是基因组广泛关联研究(GWAS)的一种补充方法,该研究计算了成千上万个SNP与一种或有限范围的表型之间的关联。通过PheWAS对表型结构与基因型变异之间关联的广泛探索产生了一组复杂而全面的结果。全面可视化是完整检查,分析和解释PheWAS结果的必要条件。结果我们开发了PheWAS-View软件,以可视方式整合PheWAS结果,包括有关PheWAS中存在的SNP,相关基因,表型以及表型之间的相互关系的信息。结果,可以阐明PheWAS结果中存在的细晶粒细节以及较大趋势。结论PheWAS可用于发现SNP,表型和相关表型网络之间的新关系。识别多效性提供新颖的机械见解;并促进假设的产生–这些结果可以通过PheWAS-View进行探索和展示。非商业研究机构可以免费使用PheWAS-View,有关详细信息,请参见http://ritchielab.psu.edu/ritchielab/software webcite。

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