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首页> 外文期刊>Annals of epidemiology >Estimation of bias in nongenetic observational studies using 'mendelian triangulation'.
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Estimation of bias in nongenetic observational studies using 'mendelian triangulation'.

机译：在非遗传观测研究中使用“孟德尔三角剖分”估计偏差。

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摘要

PURPOSE: Phenotype-disease odds ratios calculated from the effect of a genotype on its phenotype and on disease risk ("Mendelian triangulation") can be used as a standard to assess bias on the corresponding odds ratio from nongenetic studies. Statistical tests are commonly used to compare these odds ratios. We propose a method to estimate the magnitude of the bias and judge the validity of the phenotype-disease association. METHODS: For four published examples, we obtained 10,000 random values from distributions of the odds ratios from both genetic and nongenetic studies. A range of values compatible with an unbiased odds ratio was then calculated from the empirical distribution of the differences between both odds ratios. RESULTS: We show that estimating a range of likely values for an unbiased odds ratio is useful to judge the effect of the phenotype and identify cases for which information from genetic studies adds little to the evaluation of the phenotype-disease association. Conversely, statistical tests could be misleading. CONCLUSIONS: Estimating a range of values for an unbiased odds ratio is more informative and appropriate than statistical tests when using the Mendelian triangulation approach for assessment of bias in phenotype-disease association studies.
机译：目的：根据基因型对其表型和疾病风险的影响计算出的表型-疾病几率比（“孟德尔三角剖分”）可以用作评估来自非遗传研究的相应几率比值的偏倚的标准。通常使用统计检验来比较这些优势比。我们提出了一种方法来估计偏差的大小并判断表型-疾病关联的有效性。方法：对于四个公开的例子，我们从遗传和非遗传研究的比值比分布中获得了10,000个随机值。然后，从两个比值比之间的差异的经验分布计算出与无偏比值比兼容的值范围。结果：我们表明，估计无偏比的可能值范围有助于判断表型的效果，并确定从遗传学研究中获得的信息对表型-疾病关联性评估几乎没有作用的病例。相反，统计测试可能会产生误导。结论：使用孟德尔三角剖分法评估表型-疾病关联研究中的偏倚时，估计无偏比值的值范围比统计检验更有意义和更合适。

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