Mendelian randomization studies in atopic dermatitis: causal insights across omics layers

Atopic dermatitis (AD) is a chronic inflammatory skin disease, shaped by genetic, immune and environmental factors. Even though this complex interaction has been thoroughly studied, uncovering causal relationships between specific exposures and AD remains challenging. Mendelian randomization (MR) has emerged as a powerful tool for establishing causal inferences between exposures and outcomes, using genome-wide association data. MR studies have provided evidence for potential causal associations between AD and a broad spectrum of traits and comorbidities, including neuropsychiatric, cardiometabolic, oncologic, immune-mediated conditions, as well as ophthalmologic and infectious complications. Moreover, multi-omic MR approaches have enabled biomarker and therapeutic target discovery, highlighting opportunities for screening refinement, drug repurposing, and precision medicine. By integrating causal inference tools within multiple omics layers, MR is reshaping our understanding of AD, accelerating progress toward precision medicine in immune-mediated diseases.

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Publication Details

Journal
Frontiers in Immunology
Published
2026-02-26
DOI
https://doi.org/10.3389/fimmu.2026.1717812
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Mendelian randomization studies in atopic dermatitis: causal insights across omics layers

Roxana-Silvia Bumbăcea, Alexandra Chera, Octavian Bucur
Frontiers in Immunology
Dermatology and Skin Diseases
article

Mendelian randomization studies in atopic dermatitis: causal insights across omics layers

Roxana-Silvia Bumbăcea, Alexandra Chera, Octavian Bucur
article en

Abstract

Atopic dermatitis (AD) is a chronic inflammatory skin disease, shaped by genetic, immune and environmental factors. Even though this complex interaction has been thoroughly studied, uncovering causal relationships between specific exposures and AD remains challenging. Mendelian randomization (MR) has emerged as a powerful tool for establishing causal inferences between exposures and outcomes, using genome-wide association data. MR studies have provided evidence for potential causal associations between AD and a broad spectrum of traits and comorbidities, including neuropsychiatric, cardiometabolic, oncologic, immune-mediated conditions, as well as ophthalmologic and infectious complications. Moreover, multi-omic MR approaches have enabled biomarker and therapeutic target discovery, highlighting opportunities for screening refinement, drug repurposing, and precision medicine. By integrating causal inference tools within multiple omics layers, MR is reshaping our understanding of AD, accelerating progress toward precision medicine in immune-mediated diseases.

Frontiers in ImmunologyVol. 17
Carol Davila University of Medicine and Pharmacy (RO), Avila University (US), Institut thématique Génétique, génomique et bioinformatique (FR), ID Genomics (United States) (US), Institute of Virology of the Slovak Academy of Sciences (SK)
Good health and well-being
Openalex Percentile: Top 42%
Dermatology and Skin Diseases
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