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Chunk #22 — Methods — Causal effect of height on lung function

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Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.
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In a primarily methodological investigation of weak instrument bias, Davies et al.29 considered the causal effect of height (standardized) on lung function (measured as forced vital capacity, FVC, measured in ml) using 180 genetic variants as IVs with data on 3631 participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort.30 These variants were originally identified in a genome-wide association study.31 The associations of the variants with height and with FVC are displayed in a scatter plot in Figure 3 (left). The slope of the line through the scatter plot is the IVW causal effect estimate using all the variants as IVs of 0.59 [95% confidence interval (CI): 0.50, 0.67]. This is similar to the TSLS estimate of 0.60 (95% CI: 0.52, 0.68) reported by Davies et al. The causal estimates represent the increase in FVC for a 1 standard deviation increase in height.