Prediction

Psychological Resilience Prediction Model​

​An Online Calculator based on Genetic variations and Neuroimaging data ​ ​
A nomogram model was used for predicting risk of low resilience using  genetic variations and neuroimaging data. The predictors of the model were identified via canonical correlation  analysis to define a low-dimensional representation of structure MRI features that were associated with weighted combinations of single nucleotide polymorphisms.



Gender


SNP

rs17017697
rs9566600
rs75035711
rs3218253
rs2520583
rs78927014


MRI

Caudalanteriorcingulate (rh)
Fusiform (rh)
Lateraloccipital (rh)
Parstriangularis (rh)
Transversetemporal (rh)
Insula (rh)
Lateralorbitofrontal (lh)
Medialorbitofrontal (lh)
Paracentral (lh)
Precuneus (lh)
Rostralanteriorcingulate (lh)
Rostralmiddlefrontal (lh)
Supramarginal (lh)




The data are supported by the Taiwan BIG AIR Team.

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Sheng-Hsiang Lin, Ph.D. 
Laboratory of Genetic Psychiatric Epidemiology and Biostatistics
​Institute of Clinical Medicine
National Cheng Kung University   
​
[email protected]  

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Copyright © 2021 Dr. Sheng-Hsiang Lin. All rights reserved.