Abstract
Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment. Genetic analysis of multiple bipolar disorder and schizophrenia cohorts reveals loci and polygenic risk scores that differentiate the clinical symptoms of these two highly correlated disorders.
| Original language | English |
|---|---|
| Pages (from-to) | 1705-1715.e16 |
| Number of pages | 28 |
| Journal | Cell |
| Volume | 173 |
| Issue number | 7 |
| Early online date | 14 Jun 2018 |
| DOIs | |
| Publication status | Published - 14 Jun 2018 |
Funding
The work of the contributing groups was supported by numerous grants from governmental and charitable bodies as well as philanthropic donation. Specifically, D.M.R. (R01MH111776) and N.R.W. (NHMRC 1078901, 1087889).
| Funders | Funder number |
|---|---|
| National Institute of Mental Health | R01MH111776, ZIAMH002843, U01MH109514, U01MH109536 |
| Horizon 2020 Framework Programme | 692145 |
| Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung | 156791 |
| Medical Research Council | MR/L010305/1, MR/M008436/1 |
| National Health and Medical Research Council | 1078901, 1087889 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- bipolar disorder
- polygenic risk
- psychosis
- schizophrenia
- subphenotypes
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