An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome
AbstractBackground.Psychiatric disorders are a group of complex psychological syndromes with high prevalence. Recent studies observed associations between altered plasma proteins and psychiatric disorders. This study aims to systematically explore the potential genetic relationships between five maj...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2020-01-01
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| Series: | European Psychiatry |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933819000063/type/journal_article |
| _version_ | 1827994947944448000 |
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| author | Shiqiang Cheng Fanglin Guan Mei Ma Lu Zhang Bolun Cheng Xin Qi Chujun Liang Ping Li Om Prakash Kafle Yan Wen Feng Zhang |
| author_facet | Shiqiang Cheng Fanglin Guan Mei Ma Lu Zhang Bolun Cheng Xin Qi Chujun Liang Ping Li Om Prakash Kafle Yan Wen Feng Zhang |
| author_sort | Shiqiang Cheng |
| collection | DOAJ |
| description | AbstractBackground.Psychiatric disorders are a group of complex psychological syndromes with high prevalence. Recent studies observed associations between altered plasma proteins and psychiatric disorders. This study aims to systematically explore the potential genetic relationships between five major psychiatric disorders and more than 3,000 plasma proteins.Methods.The genome-wide association study (GWAS) datasets of attention deficiency/hyperactive disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) were driven from the Psychiatric GWAS Consortium. The GWAS datasets of 3,283 human plasma proteins were derived from recently published study, including 3,301 study subjects. Linkage disequilibrium score (LDSC) regression analysis were conducted to evaluate the genetic correlations between psychiatric disorders and each of the 3,283 plasma proteins.Results.LDSC observed several genetic correlations between plasma proteins and psychiatric disorders, such as ADHD and lysosomal Pro-X carboxypeptidase (p value = 0.015), ASD and extracellular superoxide dismutase (Cu-Zn; p value = 0.023), BD and alpha-N-acetylgalactosaminide alpha-2,6-sialyltransferase 6 (p value = 0.007), MDD and trefoil factor 1 (p value = 0.011), and SCZ and insulin-like growth factor-binding protein 6 (p value = 0.011). Additionally, we detected four common plasma proteins showing correlation evidence with both BD and SCZ, such as tumor necrosis factor receptor superfamily member 1B (p value = 0.012 for BD, p value = 0.011 for SCZ).Conclusions.This study provided an atlas of genetic correlations between psychiatric disorders and plasma proteome, providing novel clues for pathogenetic and biomarkers, therapeutic studies of psychiatric disorders. |
| first_indexed | 2024-04-10T04:48:56Z |
| format | Article |
| id | doaj.art-0431554c747646fbbed540f7808c98cd |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-04-10T04:48:56Z |
| publishDate | 2020-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-0431554c747646fbbed540f7808c98cd2023-03-09T12:33:57ZengCambridge University PressEuropean Psychiatry0924-93381778-35852020-01-016310.1192/j.eurpsy.2019.6An atlas of genetic correlations between psychiatric disorders and human blood plasma proteomeShiqiang Cheng0Fanglin Guan1Mei Ma2Lu Zhang3Bolun Cheng4Xin Qi5Chujun Liang6Ping Li7Om Prakash Kafle8Yan Wen9Feng Zhang10Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaSchool of Medicine & Forensics, Health Science Center, Xi’an Jiaotong University, Xi’an, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an, China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region, Xi’an Jiaotong University, Xi’an 710061, ChinaAbstractBackground.Psychiatric disorders are a group of complex psychological syndromes with high prevalence. Recent studies observed associations between altered plasma proteins and psychiatric disorders. This study aims to systematically explore the potential genetic relationships between five major psychiatric disorders and more than 3,000 plasma proteins.Methods.The genome-wide association study (GWAS) datasets of attention deficiency/hyperactive disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) were driven from the Psychiatric GWAS Consortium. The GWAS datasets of 3,283 human plasma proteins were derived from recently published study, including 3,301 study subjects. Linkage disequilibrium score (LDSC) regression analysis were conducted to evaluate the genetic correlations between psychiatric disorders and each of the 3,283 plasma proteins.Results.LDSC observed several genetic correlations between plasma proteins and psychiatric disorders, such as ADHD and lysosomal Pro-X carboxypeptidase (p value = 0.015), ASD and extracellular superoxide dismutase (Cu-Zn; p value = 0.023), BD and alpha-N-acetylgalactosaminide alpha-2,6-sialyltransferase 6 (p value = 0.007), MDD and trefoil factor 1 (p value = 0.011), and SCZ and insulin-like growth factor-binding protein 6 (p value = 0.011). Additionally, we detected four common plasma proteins showing correlation evidence with both BD and SCZ, such as tumor necrosis factor receptor superfamily member 1B (p value = 0.012 for BD, p value = 0.011 for SCZ).Conclusions.This study provided an atlas of genetic correlations between psychiatric disorders and plasma proteome, providing novel clues for pathogenetic and biomarkers, therapeutic studies of psychiatric disorders.https://www.cambridge.org/core/product/identifier/S0924933819000063/type/journal_articleGenetic correlationgenome-wide association studylinkage disequilibrium score regressionplasma proteinspsychiatric disorders |
| spellingShingle | Shiqiang Cheng Fanglin Guan Mei Ma Lu Zhang Bolun Cheng Xin Qi Chujun Liang Ping Li Om Prakash Kafle Yan Wen Feng Zhang An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome European Psychiatry Genetic correlation genome-wide association study linkage disequilibrium score regression plasma proteins psychiatric disorders |
| title | An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome |
| title_full | An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome |
| title_fullStr | An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome |
| title_full_unstemmed | An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome |
| title_short | An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome |
| title_sort | atlas of genetic correlations between psychiatric disorders and human blood plasma proteome |
| topic | Genetic correlation genome-wide association study linkage disequilibrium score regression plasma proteins psychiatric disorders |
| url | https://www.cambridge.org/core/product/identifier/S0924933819000063/type/journal_article |
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