| Title: | Integrating Genetics, Omics Data, Epidemiology, and UK Biobank Data to Enhance Understanding of Skin Lesion Disease Etiology |
| Lead Institution: | MRI TUM - Technische Universität München |
| Principal investigator: |
Application 687300
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About
Skin lesion diseases-encompassing skin cancers (basal cell, squamous cell, melanoma), inflammatory conditions (eczema, psoriasis, atopic dermatitis), and wound healing disorders (e.g., diabetic foot ulcers, chronic non-healing wounds)-pose a significant burden worldwide. Common risk factors include ultraviolet radiation, environmental toxins, unhealthy lifestyles (smoking, poor diet), and occupational hazards. Genetic predisposition and omics-based markers (transcriptomic, proteomic, metabolomic) also play key roles in disease onset and progression, yet the interplay between genetics and environment remains incompletely understood. The UK Biobank, with its extensive genomic, phenotypic, and lifestyle data plus linked electronic health records, provides a powerful platform to investigate these complexities. By applying advanced statistical and bioinformatic techniques, researchers can clarify how genetic and environmental influences intersect to drive pathology across skin cancers, inflammatory dermatoses, and chronic wound conditions. This project uses a three-part strategy: 1.Systematic Comparison Quantify how genetic variants, environmental exposures (e.g., UV, pollution), and lifestyle factors (e.g., smoking, diet) each affect the risk of diverse skin lesion diseases. 2.Integrated Assessment Merge genomic, proteomic, and metabolomic data with epidemiological variables to pinpoint pathways involved in inflammation, tissue repair, and malignant transformation. 3.Causal Inference Employ tools like Mendelian randomization to test whether certain biomarkers or processes directly cause disease-or merely reflect underlying pathology. By unveiling these genetic-environment interactions, the project aims to advance prevention, diagnosis, and treatment strategies, ultimately reducing the global burden of skin lesion diseases and improving patient outcomes.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 17680 | Large-Scale Plasma Proteomics and Genetic Integration Uncover Novel Biological Pathways in Male Pattern Baldness | Lingfeng Pan (+7) | 2026 | International Journal of Molecular Sciences |
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