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A Linear Mixed Model With Measurement Error Correction (LMM-MEC): A Method for Summary-Data-Based Multivariable Mendelian Randomization.

Genetic epidemiology - 1 Feb 2026

Ding Ming, Zou Fei

Abstract excerpt

Summary-data-based multivariable Mendelian randomization (MVMR) methods, such as MVMR-Egger, MVMR-IVW, MVMR median-based, and MVMR-PRESSO, are used to assess the causal effects of multiple risk factors on disease. However, accounting for variances in the summary statistics of risk factors remains a challenge. We propose a linear mixed model with measurement error correction (LMM-MEC) that accounts for the...

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PMID: 41553776
DOI: 10.1002/gepi.70032

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