eQTLs Weighted Genetic Correlation Analysis Detected Brain Region Differences in Genetic Correlations for Complex Psychiatric Disorders

Wen, Yan; Zhang, Feng; Ma, Xiancang; Fan, Qunping; Wang, Wenyu; Xu, Jiawen; Zhu, Feng; Hao, Jingcan; He, Awen; Liu, Li; Liang, Xiao; Du, Yanan; Li, Ping; Wu, Cuiyan; Wang, Sen; Wang, Xi; Ning, Yujie; Guo, Xiong

doi:10.1093/schbul/sby080

Cited by 6 publications

(1 citation statement)

References 57 publications

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“…Supporting this view of etiologic entanglement, psychiatric disorders appear to share extensive genetic and environmental predispositions. For example, whole-genome association data [1][2][3][4] analysis indicates that psychiatric disorders are highly genetically correlated, while large-scale, family-based studies, supporting these highly genetic correlations across psychiatric maladies, also suggest that these disorders possess shared environmental risk factors [5,6]. The estimated shared proportion of environmental risk factors between nonpsychiatric complex diseases, and within psychiatric and nonpsychiatric disease pairs, tend to be much lower [5,6].…”

Section: Introductionmentioning

confidence: 99%

Do psychiatric diseases follow annual cyclic seasonality?

et al. 2021

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Seasonal affective disorder (SAD) famously follows annual cycles, with incidence elevation in the fall and spring. Should some version of cyclic annual pattern be expected from other psychiatric disorders? Would annual cycles be similar for distinct psychiatric conditions? This study probes these questions using 2 very large datasets describing the health histories of 150 million unique U.S. citizens and the entire Swedish population. We performed 2 types of analysis, using “uncorrected” and “corrected” observations. The former analysis focused on counts of daily patient visits associated with each disease. The latter analysis instead looked at the proportion of disease-specific visits within the total volume of visits for a time interval. In the uncorrected analysis, we found that psychiatric disorders’ annual patterns were remarkably similar across the studied diseases in both countries, with the magnitude of annual variation significantly higher in Sweden than in the United States for psychiatric, but not infectious diseases. In the corrected analysis, only 1 group of patients—11 to 20 years old—reproduced all regularities we observed for psychiatric disorders in the uncorrected analysis; the annual healthcare-seeking visit patterns associated with other age-groups changed drastically. Analogous analyses over infectious diseases were less divergent over these 2 types of computation. Comparing these 2 sets of results in the context of published psychiatric disorder seasonality studies, we tend to believe that our uncorrected results are more likely to capture the real trends, while the corrected results perhaps reflect mostly artifacts determined by dominantly fluctuating, health-seeking visits across a given year. However, the divergent results are ultimately inconclusive; thus, we present both sets of results unredacted, and, in the spirit of full disclosure, leave the verdict to the reader.

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Section: Introductionmentioning

confidence: 99%

Do psychiatric diseases follow annual cyclic seasonality?

et al. 2021

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Methylation and expression quantitative trait locus rs6296 in the HTR1B gene is associated with susceptibility to opioid use disorder

Xie

et al. 2022

Psychopharmacology

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Polygenetic Risk Scores for Major Psychiatric Disorders Among Schizophrenia Patients, Their First-Degree Relatives, and Healthy Participants

Ohi

Nishizawa

Shimada

et al. 2020

International Journal of Neuropsychopharmacology

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Background The genetic etiology of schizophrenia (SCZ) overlaps with that of other major psychiatric disorders in samples of European ancestry. The present study investigated transethnic polygenetic features shared between Japanese SCZ or their unaffected first-degree relatives and European patients with major psychiatric disorders by conducting polygenic risk score (PRS) analyses. Methods To calculate PRSs for 5 psychiatric disorders (SCZ, bipolar disorder [BIP], major depressive disorder, autism spectrum disorder, and attention-deficit/hyperactivity disorder) and PRSs differentiating SCZ from BIP, we utilized large-scale European genome-wide association study (GWAS) datasets as discovery samples. PRSs derived from these GWASs were calculated for 335 Japanese target participants [SCZ patients, FRs, and healthy controls (HCs)]. We took these PRSs based on GWASs of European psychiatric disorders and investigated their effect on risk in Japanese SCZ patients and unaffected first-degree relatives. Results The PRSs obtained from European SCZ and BIP patients were higher in Japanese SCZ patients than in HCs. Furthermore, PRSs differentiating SCZ patients from European BIP patients were higher in Japanese SCZ patients than in HCs. Interestingly, PRSs related to European autism spectrum disorder were lower in Japanese first-degree relatives than in HCs or SCZ patients. The PRSs of autism spectrum disorder were positively correlated with a young onset age of SCZ. Conclusions These findings suggest that polygenic factors related to European SCZ and BIP and the polygenic components differentiating SCZ from BIP can transethnically contribute to SCZ risk in Japanese people. Furthermore, we suggest that reduced levels of an ASD-related genetic factor in unaffected first-degree relatives may help protect against SCZ development.

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eQTLs Weighted Genetic Correlation Analysis Detected Brain Region Differences in Genetic Correlations for Complex Psychiatric Disorders

Abstract: This study provides new clues for elucidating the mechanism of genetic correlations among various psychiatric disorders.

Cited by 6 publications

References 57 publications

Do psychiatric diseases follow annual cyclic seasonality?

Do psychiatric diseases follow annual cyclic seasonality?

Methylation and expression quantitative trait locus rs6296 in the HTR1B gene is associated with susceptibility to opioid use disorder

Polygenetic Risk Scores for Major Psychiatric Disorders Among Schizophrenia Patients, Their First-Degree Relatives, and Healthy Participants

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