| Title: | Designing a resampling approach to control for population stratification in rare variant association tests |
| Lead Institution: | Shanghai Jiao Tong University |
| Principal investigator: | Professor Shengying Qin |
Application 34716
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About
Recent technology advances have enabled large-scale analysis of rare variants, but properly testing rare variants associated with complex disorders remains a significant challenge. Most rare variant testing methods assume samples from a single population, which is often not true for large studies such as UK Biobank. We propose a population-informed resampling method for studies of multiple populations for rare variant tests. Preliminary results showed this empirical approach can effectively control for false-positives while maintaining statistical power. We plan to apply this method to various human complex disorders and traits including cancer, heart diseases, stroke, diabetes, arthritis, osteoporosis, eye disorders, autoimmune inflammatory, depression and forms of dementia. The findings will help us further elucidating biological mechanism of threatening illness, eventually lead to new insight into drug research and development. The project duration will be around 2 years.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 13247 | Genome-Wide and Exome-Wide Association Study Identifies Genetic Underpinning of Comorbidity between Myocardial Infarction and Severe Mental Disorders | Bixuan Jiang (+11) | 2024 | Biomedicines |
Enabling scientific discoveries that improve human health