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Epidemiological and genomic relationship and pleiotropic mechanisms across complex traits
Safe People
Organisation name
Westlake University (China)
Organisation sector
Academic Institute
Applicant name(s)
Hou-Feng Zheng
Safe Projects
Project ID
B3768
Lay summary
Evidence from epidemiological and twin studies has shown that some pairs of disorders, such as between brain disorders, often exhibited shared symptoms and comorbidity. However, there is a paucity of observational data on the correlation of other traits, especially for rheumatic diseases and musculoskeletal conditions. Additionally, it remains unknown whether the nature of co-occurrence of these diseases can contribute to potential etiological overlap or due to ascertainment bias and diagnostic misclassification. Recent advances in genetic methods, including the Mendelian randomization analyses, cross-trait meta-analysis, and transcriptome-wide association study, have enabled us to evaluate the degree of genetic overlap and to find the pleiotropic loci. Accordingly, by using data from the Avon longitudinal study of parents and children, we seek to systematically assess the correlation of different diseases, and how connected they on the genomic and environmental level.
Public benefit statement
The clinical use of genetic data
Latest approval date
28/09/2021