| Title: | Dissecting the Etiological Landscape of Kidney Disease: A Prospective and Genomic Investigation in the UK Biobank |
| Lead Institution: | The First Hospital of Shanxi Medical University. |
| Principal investigator: |
Application 778815
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I. Research Question: How do genetics, lifestyle, environmental exposures and biomarkers interact in the development of kidney disease? Are there key molecular mechanisms and pathways that can be used for early screening, staging and targeted therapy? Can multidimensional risk factors associated with kidney disease and its co-morbidities (e.g. hypertension, metabolic syndrome) be identified and modeled? II.Research objectives: To integrate genetic, behavioral, environmental and clinical data from UK Biobank to construct a multidimensional risk map for kidney disease; To clarify the causal relationship between key risk factors and kidney disease using Mendelian randomization and interaction analysis; Combining multi-omics data to mine the molecular mechanisms and potential therapeutic targets associated with renal impairment; Construct co-morbidity prediction models based on machine learning to realize early identification and precise management of high-risk groups. III. Scientific basis: As the causes of kidney disease are complex, UK Biobank provides an ideal data platform to support multifactorial analysis; Combine GWAS and clinical data to identify key genes and non-linear exposure effects; Combining external databases for mechanism validation to enhance biological explanatory power; Causal inference and network analysis help to identify intervening factors and serve clinical translation.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 21554 | Biological age acceleration and cardiovascular-kidney-metabolic syndrome progression: evidence from UK Biobank and NHANES | Yukai Zhang (+3) | 2026 | Renal Failure |
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