Your browser doesn't support javascript.
loading
Mendelian randomization in hepatology: A review of principles, opportunities, and challenges.
Song, Yilin; Ye, Ting; Roberts, Lewis R; Larson, Nicholas B; Winham, Stacey J.
  • Song Y; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Ye T; Department of Biostatistics, University of Washington, Seattle, Washington, USA.
  • Roberts LR; Division of Gastroenterology and Hepatology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
  • Larson NB; Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
  • Winham SJ; Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
Hepatology ; 2023 Oct 24.
Article en En | MEDLINE | ID: mdl-37874245
ABSTRACT
Mendelian randomization has become a popular tool to assess causal relationships using existing observational data. While randomized controlled trials are considered the gold standard for establishing causality between exposures and outcomes, it is not always feasible to conduct a trial. Mendelian randomization is a causal inference method that uses observational data to infer causal relationships by using genetic variation as a surrogate for the exposure of interest. Publications using the approach have increased dramatically in recent years, including in the field of hepatology. In this concise review, we describe the concepts, assumptions, and interpretation of Mendelian randomization as related to studies in hepatology. We focus on the strengths and weaknesses of the approach for a non-statistical audience, using an illustrative example to assess the causal relationship between body mass index and NAFLD.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2023 Tipo del documento: Article