Palmer Tom M, Thompson John R, Tobin Martin D
Department of Health Sciences, University of Leicester, Leicester, UK.
Stat Med. 2008 Dec 30;27(30):6570-82. doi: 10.1002/sim.3423.
In Mendelian randomization a carefully selected gene is used as an instrumental variable in the estimation of the association between a biological phenotype and a disease. A study using Mendelian randomization will have information on an individual's disease status, the genotype and the phenotype. The phenotype must be on the causal pathway between gene and disease for the instrumental-variable analysis to be valid. For a biallelic polymorphism there are three possible genotypes with which to compare disease risk. Existing methods select two of the three possible genotypes for use in a Mendelian randomization analysis. Multivariate meta-analysis models for Mendelian randomization case-control studies are proposed, which extend previous methods by estimating the pooled phenotype-disease association across both genotype comparisons by using the gene-disease log odds ratios and differences in mean phenotypes. The methods are illustrated using a meta-analysis of the effect of a gene related to collagen production on bone mineral density and osteoporotic fracture.
在孟德尔随机化研究中,一个经过精心挑选的基因被用作工具变量,以估计生物表型与疾病之间的关联。一项使用孟德尔随机化的研究将拥有个体疾病状态、基因型和表型的信息。为使工具变量分析有效,表型必须处于基因与疾病之间的因果路径上。对于双等位基因多态性,有三种可能的基因型可用于比较疾病风险。现有方法从三种可能的基因型中选择两种用于孟德尔随机化分析。本文提出了用于孟德尔随机化病例对照研究的多变量荟萃分析模型,该模型通过使用基因 - 疾病对数优势比和平均表型差异来估计两种基因型比较中的合并表型 - 疾病关联,从而扩展了先前的方法。通过对与胶原蛋白生成相关的基因对骨矿物质密度和骨质疏松性骨折影响的荟萃分析对这些方法进行了说明。