SMR is a 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.
| SMR | -Zhu et al. 2016. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nature Genetics, 48(5):481-487. [ PMID:27019110] |
| 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] |
| eQTLGen | - Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis. Preprint at bioRxiv https://doi.org/10.1101/447367. |
| 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]) |