| Title: | Discovery and replication of low-frequency variants involved in complex diseases |
| Lead Institution: | Barcelona Supercomputing Center |
| Principal investigator: | Dr David Torrents |
Application 16803
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
About
We have recently developed novel methodologies and approaches to re-analyze existing GWAS data through combined genotype imputation of several reference panels. We propose to use the UK Biobank as a replication dataset for the current findings. Our studies are focused on type 2 diabetes and related clinical variables such as glycemic traits. I would be also interested in obtaining primary care data and adjudicated diabetes when available. The discovery of variants associated to metabolic diseases are key to generate novel hypothesis for the diagnosis, treatment, prevention, and early detection of the disease. In that sense, the UK Biobank will help replicate, and enhance the power of our current studies. It therefore, clearly meets the UK Biobank stated purpose. We have identified a subset of genetic variants associated with type 2 diabetes (T2D). In order to confirm these findings, and also to strengthen the power, we will meta-analyze the results we obtained in our discovery sample with the results obtained in the UK Biobank We intend to use the full cohort, and compare all the individuals suffering the metabolic condition, i. e. type 2 diabetes, with the rest of individuals not suffering this disease.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 8508 | Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes | Sílvia Bonàs-Guarch (+42) | 2018 | Nature Communications |
Enabling scientific discoveries that improve human health