| Accession |
PRJCA004908 |
| Title |
GWAS analysis of individual gray metter covariance in First-episode schizophrinia patients |
| Relevance |
Medical |
| Data types |
Exome
|
| Organisms |
Homo sapiens
|
| Description |
Reliable mapping of individual differences from a systems-perspective is a critical first step towards precision medicine for complex disorders such as schizophrenia. Most current studies construct structural covariance networks at the group-level that are not feasible for individual inference. We introduced a new method to build individual differential structural covariance network (IDSCN) using regional gray-matter volume, and we conducted GWAS analysis to identify the genetic basis of the individual covariance links |
| Sample scope |
Multiisolate |
| Release date |
2021-04-29 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
General Program
|
61973086
|
|
|
|
| Submitter |
Jie
Zhang (jzhang080@gmail.com)
|
| Organization |
Fudan University |
| Submission date |
2021-04-29 |
