Application of imaging genetics method based on group sparse canonical correlation analysis in schizophrenia
10.13929/j.1003-3289.201807106
- Author:
Fengxian WEI
1
Author Information
1. School of Medical Instrument and Food Engineering, University of Shanghai For Science and Technology
- Publication Type:Journal Article
- Keywords:
Canonical correlation analysis;
Schizophrenia;
Single nucleotide polymorphism;
Sparse representation
- From:
Chinese Journal of Medical Imaging Technology
2019;35(2):277-281
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the correlation between imaging data and genetic data of schizophrenia patients using imaging genetics method. Methods A group sparse canonical analysis method was proposed, group sparse constraints λ1||u||G and λ2||v||G were added to sparse canonical correlation analysis model to select features groups. Then, features within one group were selected by sparse constraints τ1||u||1 and τ2||v||1. The imaging genetics method based on group sparse canonical correlation analysis method was used to analyze the correlation between brain regions and genes of schizophrenia, and the stability and ability of this method to select biomarkers were also verified. Results Several pairs canonical brain regions and genes were identified. The left insula and gene AKT1 demonstrated the most significant correlation (r=0.653 8), and r value between right rectus and gene DAOA, MAGI2 were larger than 0.6. The correlation coefficients of selected features were 0.626 9±0.016 1 with group sparse canonical correlation analysis and 0.625 5±0.018 1 with sparse canonical correlation analysis. After 10 selections, the proportion of 75 genes related to schizophrenia was higher than that of non-related genes randomly selected in the most related 20 genes selected by group sparse canonical correlation analysis. Conclusion: Several pairs canonical brain regions and genes can be identified by the group sparse canonical analysis method, which may provide a new way for the study of schizophrenia and other complex mental disorders.
