Brain-wide versus genome-wide vulnerability biomarkers for severe mental illnesses.
Peter V KochunovYizhou MaKathryn S HatchSi GaoNeda JahanshadPaul M ThompsonBhim M AdhikariHeather BruceAndrew Van der VaartEric L GoldwaserAristeidis SotirasMark D KvartaTianzhou MaShuo ChenThomas E NicholsL Elliot HongPublished in: Human brain mapping (2022)
Severe mental illnesses (SMI), including major depressive (MDD), bipolar (BD), and schizophrenia spectrum (SSD) disorders have multifactorial risk factors and capturing their complex etiopathophysiology in an individual remains challenging. Regional vulnerability index (RVI) was used to measure individual's brain-wide similarity to the expected SMI patterns derived from meta-analytical studies. It is analogous to polygenic risk scores (PRS) that measure individual's similarity to genome-wide patterns in SMI. We hypothesized that RVI is an intermediary phenotype between genome and symptoms and is sensitive to both genetic and environmental risks for SMI. UK Biobank sample of N = 17,053/19,265 M/F (age = 64.8 ± 7.4 years) and an independent sample of SSD patients and controls (N = 115/111 M/F, age = 35.2 ± 13.4) were used to test this hypothesis. UKBB participants with MDD had significantly higher RVI-MDD (Cohen's d = 0.20, p = 1 × 10 -23 ) and PRS-MDD (d = 0.17, p = 1 × 10 -15 ) than nonpsychiatric controls. UKBB participants with BD and SSD showed significant elevation in the respective RVIs (d = 0.65 and 0.60; p = 3 × 10 -5 and .009, respectively) and PRS (d = 0.57 and 1.34; p = .002 and .002, respectively). Elevated RVI-SSD were replicated in an independent sample (d = 0.53, p = 5 × 10 -5 ). RVI-MDD and RVI-SSD but not RVI-BD were associated with childhood adversity (p < .01). In nonpsychiatric controls, elevation in RVI and PRS were associated with lower cognitive performance (p < 10 -5 ) in six out of seven domains and showed specificity with disorder-associated deficits. In summary, the RVI is a novel brain index for SMI and shows similar or better specificity for SMI than PRS, and together they may complement each other in the efforts to characterize the genomic to brain level risks for SMI.
Keyphrases
- genome wide
- major depressive disorder
- bipolar disorder
- resting state
- white matter
- dna methylation
- risk factors
- functional connectivity
- end stage renal disease
- copy number
- climate change
- human health
- cerebral ischemia
- mental health
- newly diagnosed
- ejection fraction
- early onset
- peritoneal dialysis
- cross sectional
- gene expression
- early life
- young adults
- risk assessment
- blood brain barrier
- subarachnoid hemorrhage
- stress induced
- multiple sclerosis
- mass spectrometry
- patient reported