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Article

A comprehensive evaluation of methods for Mendelian randomization using realistic simulations and an analysis of 38 biomarkers for risk of type 2 diabetes.

International journal of epidemiology - 30 Aug 2021

Qi Guanghao, Chatterjee Nilanjan

Abstract excerpt

BACKGROUND: Previous studies have often evaluated methods for Mendelian randomization (MR) analysis based on simulations that do not adequately reflect the data-generating mechanisms in genome-wide association studies (GWAS) and there are often discrepancies in the performance of MR methods in simulations and real data sets. METHODS: We use a simulation framework that generates data on full GWAS for two traits...

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Identifiers

PMID: 33393617
DOI: 10.1093/ije/dyaa262
PMCID: PMC8562333

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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