4.6 Article

Mendelian randomization as a tool to gain insights into the mosaic causes of autoimmune diseases

Journal

AUTOIMMUNITY REVIEWS
Volume 21, Issue 12, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.autrev.2022.103210

Keywords

Causality; Instrumental variables; Mendelian randomization; ADs; Risk factors

Categories

Funding

  1. National Natural Science Foundation of China [81872687]
  2. Anhui Provincial Natural Science Foundation [2108085Y26, 2108085QH361]
  3. Research Fund of Anhui Institute of Translational Medicine [2021zhyx-B04]

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This review discusses the use of Mendelian randomization (MR) analysis in studying the etiology of autoimmune diseases (ADs). By using genetic variation as a proxy for modifiable exposure, MR analysis offers valuable insights into the causal relationships between risk factors and ADs. The review summarizes recent findings of MR analysis in major ADs and discusses the opportunities and challenges of using MR methods in ADs research.
Autoimmune diseases (ADs) are a broad range of disorders which are characterized by long-term inflammation and tissue damage arising from an immune response against one's own tissues. It is now widely accepted that the causes of ADs include environmental factors, genetic susceptibility and immune dysregulation. However, the exact etiology of ADs has not been fully elucidated to date. Because observational studies are plagued by confounding factors and reverse causality, no firm conclusions can be drawn about the etiology of ADs. Over the years, Mendelian randomization (MR) analysis has come into focus, offering unique perspectives and insights into the etiology of ADs and promising the discovery of potential therapeutic interventions. In MR analysis, genetic variation (alleles are randomly dispensed during meiosis, usually irrespective of environmental or lifestyle factors) is used instead of modifiable exposure to explore the link between exposure factors and disease or other outcomes. Therefore, MR analysis can provide a valuable method for exploring the causal relationship between different risk factors and ADs when its inherent assumptions and limitations are fully considered. This review summarized the recent findings of MR in major ADs, including systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), multiple sclerosis (MS), and type 1 diabetes mellitus (T1DM), focused on the effects of different risk factors on ADs risks. In addition, we also discussed the opportunities and challenges of MR methods in ADs research.

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