Background
Family and twin studies indicate substantial overlap of genetic influences on psychotic and mood disorders. Linkage and candidate gene studies have also suggested overlap across schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD). The objective of this study was to apply genomewide association study (GWAS) analysis to address the specificity of genetic effects on these disorders.
Method
We combined GWAS data from three large effectiveness studies of SCZ (CATIE, genotyped n = 741), BPD (STEP-BD, n = 1575) and MDD (STAR*D, n= 1938) and psychiatrically-screened controls (NIMH-GI controls, n = 1204). We applied a two-stage analytic procedure involving an omnibus test of allele frequency differences among case and control groups followed by a model selection step to identify the best-fitting model of allelic effects across disorders.
Results
The strongest result was seen for a single nucleotide polymorphism near the adrenomedullin (ADM) gene (rs6484218, p = 3.93 × 10−8), with the best-fitting model indicating that the effect is specific to bipolar II disorder. We also observed evidence suggesting that several genes may have effects that transcend clinical diagnostic boundaries including variants in NPAS3 that showed pleiotropic effects across SCZ, BPD, and MDD.
Conclusions
This study provides the first genomewide significant evidence implicating variants near the ADM gene on chromosome 11p15 in psychopathology, with effects that appear to be specific to bipolar II disorder. Although we do not detect genomewide significant evidence of cross-disorder effects, our study provides evidence that there are both pleiotropic and disorder-specific effects on major mental illness and illustrates an approach to dissecting the genetic basis of mood and psychotic disorders that can inform future large-scale cross-disorder GWAS analyses.