Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression.
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression.
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DOI：
10.1093/ije/dyy265
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发表时间：
2018-12-01
影响因子：
7.7
通讯作者：
Davey Smith G
中科院分区：
文献类型：
--
作者：
Bowden J;Spiller W;Del Greco M F;Sheehan N;Thompson J;Minelli C;Davey Smith G
背景综述提供双样本孟德尔随机化（MR）研究的数据通常借助散点图来可视化，其中单核苷酸多态性（SNP）-结果关联针对SNP-暴露关联作图，以提供每个个体变异的CARBON效应估计的直接图片。也可以方便地将因果效应的标准逆方差加权（IVW）估计值叠加为拟合斜率，以查看单个SNP是否提供支持或与总体共识相冲突的证据。不幸的是，传统的散点图是不是最合适的手段来实现这一目标时，SNP结果的关联估计具有不同程度的精度，这是反映在analysis.MethodsWe建议，而不是使用一个小的修改的散点图的Galbraith径向图的数据和结果的MR研究，它享有许多优势，超过原来的方法。在实践层面上，它消除了重新编码遗传数据的需要，并能够更直接地检测离群值和有影响力的数据点。它的使用超出了纯粹的美学，但是，建议一个更一般的建模框架内进行MR study.ResultsWe说明使用数据的方法，从两个样本的MR研究，以探讨收缩压对冠心病风险的因果关系，允许多效性的可能影响，包括一种新形式的MR-Egger regression。径向图显示有助于检测单个离群变量，该变量是IVW和MR-Egger回归估计值之间存在较大差异的原因。几个额外的图也提出了翔实的数据visualization.ConclusionsThe径向图应被视为在散点图的可视化，分析和解释数据从两个样本的汇总数据MR研究的地方。提供软件以帮助其使用。
BackgroundSummary data furnishing a two-sample Mendelian randomization (MR) study are often visualized with the aid of a scatter plot, in which single-nucleotide polymorphism (SNP)–outcome associations are plotted against the SNP–exposure associations to provide an immediate picture of the causal-effect estimate for each individual variant. It is also convenient to overlay the standard inverse-variance weighted (IVW) estimate of causal effect as a fitted slope, to see whether an individual SNP provides evidence that supports, or conflicts with, the overall consensus. Unfortunately, the traditional scatter plot is not the most appropriate means to achieve this aim whenever SNP–outcome associations are estimated with varying degrees of precision and this is reflected in the analysis.MethodsWe propose instead to use a small modification of the scatter plot—the Galbraith Radial plot—for the presentation of data and results from an MR study, which enjoys many advantages over the original method. On a practical level, it removes the need to recode the genetic data and enables a more straightforward detection of outliers and influential data points. Its use extends beyond the purely aesthetic, however, to suggest a more general modelling framework to operate within when conducting an MR study, including a new form of MR-Egger regression.ResultsWe illustrate the methods using data from a two-sample MR study to probe the causal effect of systolic blood pressure on coronary heart disease risk, allowing for the possible effects of pleiotropy. The Radial plot is shown to aid the detection of a single outlying variant that is responsible for large differences between IVW and MR-Egger regression estimates. Several additional plots are also proposed for informative data visualization.ConclusionsThe Radial plot should be considered in place of the scatter plot for visualizing, analysing and interpreting data from a two-sample summary data MR study. Software is provided to help facilitate its use.
影响因子：
7.7
作者：
Bowden J;Spiller W;Del Greco M F;Sheehan N;Thompson J;Minelli C;Davey Smith G
通讯作者：
Davey Smith G