Background
Resilience is defined as the process of effectively adapting to stressful events or managing significant sources of stress or trauma. We used whole genome single nucleotide polymorphism (SNP) data to assess the relationships between genetic variants and psychological resilience.
Methods
We recruited the young adults aged from 20 to 30 years from southern Taiwan. All study subjects were divided into low resilience and high resilience groups using the Connor–Davidson Resilience Scale (CD-RISC). We conducted genome-wide association studies (GWAS) for the study subjects. Then we selected candidate SNPs by PLINK and performed ROC curve analysis to discriminate high and low resilience.
Results
In the study, CD-RISC scores ≥60 out of 100 were defined as high resilience and CD-RISC scores <60 out of 100 were defined as low resilience. The study selected nine SNPs with p < 10-5 in the GWAS using PLINK software. Three SNPs were excluded due to strong multicollinearity. Thus, we constructed a polygenic risk score model using the six SNPs. The result of ROC curve analysis with 10-fold cross validation showed the AUC is 0.98 and accuracy is 0.93 for low resilience. Conclusion The genetic signatures provided good discriminative ability to distinguish high from low resilience individuals. Our findings supported the promise of whole genome SNP markers in young adults with low resilience. Authors:
Sheng-Hsiang Lin, National Cheng Kung University, Taiwan
Yu-En Kang, National Cheng Kung University, Taiwan
Andrew Ke-Ming Lu, National Cheng Kung University, Taiwan
Shulan Hsieh, National Cheng Kung University, Taiwan
Cheng-Ta Yang, National Cheng Kung University, Taiwan

About the Presenter(s)
Dr Sheng-Hsiang Lin is a University Associate Professor/Senior Lecturer at National Cheng Kung University in Taiwan

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