| Title: | Phenome-Wide Association Studies of the immune-related genetic variants |
| Lead Institution: | Peking University |
| Principal investigator: | Dr Yongyue Wei |
Application 57471
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About
A wide range of diseases are linked to the immune function alteration, such as cancer, asthma and chronic obstructive pulmonary disease (COPD). Identifying the immune-related biomarkers (e.g. genetic variant, laboratory biomarkers) is very important to find the individuals with high-risk and develop strategies for disease prevention. Thus, we aim to conduct a Phenome-Wide Association Study between various phenotypes (e.g. disease risk, inflammation biomarkers) and immune-related genetic variants in UK Biobank. We are going to identify the association between genetic variants of immune related genes across different phenotypes such as cancer and respiratory diseases, perform the phenome-wide Mendelian-randomization study on the immune mediators and develop a bioinformatics algorithm to evaluate their immune priority index among different traits. Identification of biomarkers including genetic variants, genes, pathways for different phenotypes will help researchers further understand the disease entity and focus on drug target for treatment. We would like to request access to the full cohort. After we get the data, we need 6 months to do the data cleaning, 6 months for data analysis, 8 months for bioinformatics algorithm development, 4 months for paper drafting and 4 months for paper submitting and revising. The total period is 28 months.4 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 9372 | A cross-disorder study to identify causal relationships, shared genetic variants, and genes across 21 digestive disorders | Yue Jiang (+8) | 2023 | iScience |
| 10158 | A cross-trait study of lung cancer and its related respiratory diseases based on large-scale exome sequencing population | Yunke Jiang (+8) | 2024 | Translational Lung Cancer Research |
| 8929 | Investigating the Relationship between Birthweight and Breast Cancer from A Non-Linear and Mediation Perspective | Meng Zhang (+3) | 2024 | Iranian Journal of Public Health |
| 10997 | OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations | Zoucheng Pan (+13) | 2023 | EBioMedicine |
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