Genes identified by TWAS


Step1: Select a Brain eQTL dataset

PsychENCODE



Step2: Input your genes

Example for eQTL dataset
PsychENCODE



GNL3
ADD3
TMEM258

Step1: Select a Brain eQTL dataset

CMC     LIBD2-DLPFC     PsychEncode



Step2: Input your genes

Example for eQTL dataset
CMC



CDHR1
CSPG4P12
FADS1
MED24

References

TWAS is another powerful integrative analysis approach and aimed at identifying bipolar disorder risk genes whose expression perturbations may confer disease susceptibility by integrating GWAS summary statistics and expression quantitative trait loci (eQTL) data.


TWAS - Integrative approaches for large-scale transcriptome-wide association studies. Nature Genetics, 48(3):245-52. [PMID: 26854917]
PGC3 GWAS - Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology. Nature Genetics, 53(6):817-829. [PMID: 34002096]
PGC2 GWAS - Genome-wide association study identifies 30 loci associated with bipolar disorder. Nature Genetics, 51(5):793-803. [PMID: 31043756]
CMC eQTL - Gene expression elucidates functional impact of polygenic risk for schizophrenia. Nature Neuroscience, 19(11):1442-1453. [ PMID: 27668389]
LIBD2-DLPFC eQTL - Regional Heterogeneity in Gene Expression, Regulation, and Coherence in the Frontal Cortex and Hippocampus across Development and Schizophrenia. Neuron,103(2):203-216.e8. [PMID: 31174959]
PsychEncode eQTL - Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder. Science, 362(6420):eaat8127. [PMID: 30545856])

If you used the integrative analysis result in this database, please cite the relative references.