| Accession |
PRJCA003455 |
| Title |
Research on molecular classification of type 2 diabetes based on muti-omic studies |
| Relevance |
Medical |
| Data types |
Whole genome sequencing
|
| Organisms |
|
| Description |
Type 2 diabetes mellitus (T2D) is a complex disease with multiple organ dysfunction caused by genetic, epigenetic and environmental factors. As the existing clinical and basic studies of T2D are mostly based on a single level of omics analysis, it is urgent to obtain a multi-dimensional molecular characterization spectrum of T2D population for clinical diagnosis and treatment. By drawing the multi-dimensional omics characteristic spectrum of T2D population that can be used for clinical diagnosis and treatment, the project forms a shared database, establishes a new molecular typing scheme and classification system framework based on omics big data, develops accurate medical diagnosis and treatment methods for T2D in Chinese people, and improves the effect of disease prevention and treatment. |
| Sample scope |
Multiisolate |
| Release date |
2020-09-14 |
| Publication |
|
| Data provider |
| Data provider |
Data provider URL |
| Dalian Institute of Chemical Physics, Chinese Academy of Sciences |
http://www.dicp.ac.cn/ |
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Ministry of Science and Technology of the People's Republic of China (MOST)
|
National Key Technologies R&D Program
|
2016YFC0903300
|
Research on molecular classification of type 2 diabetes based on muti-omic studies
|
|
|
| Submitter |
Feng
Jiang (jiangfeng1031@163.com)
|
| Organization |
Shanghai Jiao Tong University |
| Submission date |
2020-09-14 |
