Cross-tissue eQTL enrichment of associations in schizophrenia.
Francesco BettellaAndrew Anand BrownOlav B SmelandYunpeng WangAree WitoelarAlfonso A Buil DemurWesley Kurt ThompsonVerena ZuberAnders M DaleSrdjan DjurovicOle A AndreassenPublished in: PloS one (2018)
The genome-wide association study of the Psychiatric Genomics Consortium identified over one hundred schizophrenia susceptibility loci. The number of non-coding variants discovered suggests that gene regulation could mediate the effect of these variants on disease. Expression quantitative trait loci (eQTLs) contribute to variation in levels of mRNA. Given the co-occurrence of schizophrenia and several traits not involving the central nervous system (CNS), we investigated the enrichment of schizophrenia associations among eQTLs for four non-CNS tissues: adipose tissue, epidermal tissue, lymphoblastoid cells and blood. Significant enrichment was seen in eQTLs of all tissues: adipose (β = 0.18, p = 8.8 × 10-06), epidermal (β = 0.12, p = 3.1 × 10-04), lymphoblastoid (β = 0.19, p = 6.2 × 10-08) and blood (β = 0.19, p = 6.4 × 10-06). For comparison, we looked for enrichment of association with traits of known relevance to one or more of these tissues (body mass index, height, rheumatoid arthritis, systolic blood pressure and type-II diabetes) and found that schizophrenia enrichment was of similar scale to that observed when studying diseases in the context of a more likely causal tissue. To further investigate tissue specificity, we looked for differential enrichment of eQTLs with relevant Roadmap affiliation (enhancers and promoters) and varying distance from the transcription start site. Neither factor significantly contributed to the enrichment, suggesting that this is equally distributed in tissue-specific and cross-tissue regulatory elements. Our analyses suggest that functional correlates of schizophrenia risk are prevalent in non-CNS tissues. This could be because of pleiotropy or the effectiveness of variants affecting expression in different contexts. This suggests the utility of large, single-tissue eQTL experiments to increase eQTL discovery power in the study of schizophrenia, in addition to smaller, multiple-tissue approaches. Our results conform to the notion that schizophrenia is a systemic disorder involving many tissues.
Keyphrases
- bipolar disorder
- body mass index
- blood pressure
- adipose tissue
- gene expression
- rheumatoid arthritis
- genome wide
- genome wide association study
- type diabetes
- randomized controlled trial
- poor prognosis
- heart failure
- systematic review
- copy number
- cardiovascular disease
- transcription factor
- left ventricular
- dna methylation
- physical activity
- metabolic syndrome
- high throughput
- high fat diet
- skeletal muscle
- high resolution
- atrial fibrillation
- long non coding rna
- cell proliferation
- idiopathic pulmonary fibrosis
- wound healing