HRA000812
Title:
GWAS analysis of individual gray metter covariance in First-episode schizophrinia patients exome-sequencing
Release date:
2021-05-10
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
Data Accessibility:   
Controlled access Request Data
BioProject:
Study type:
Disease Study
Disease name:
schizophrenia
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
DAC name:
Fudan-schizophrenia
Contact person:
Zhang Jie
Email:
jzhang080@gmail.com
Description:
Responsible for the use and share of schizophrenia exome data from ISTBI
Individuals & samples
Submitter:   Zhang Jie / jzhang080@gmail.com
Organization:   Fudan University
Submission date:   2021-04-29
Requests:   -