Multi-trait analysis for genome-wide association study of five psychiatric disorders

被引：0
作者：
Yulu Wu
Hongbao Cao
Ancha Baranova
Hailiang Huang
Sheng Li
Lei Cai
Shuquan Rao
Minhan Dai
Min Xie
Yikai Dou
Qinjian Hao
Ling Zhu
Xiangrong Zhang
Yin Yao
Fuquan Zhang
Mingqing Xu
Qiang Wang
机构：
[1] West China Hospital of Sichuan University,Mental Health Center and Psychiatric Laboratory, State Key Laboratory of Biotherapy
[2] West China Hospital of Sichuan University,West China Brain Research Center
[3] First Clinical Medical College/First Hospital of Shanxi Medical University,Department of Psychiatry
[4] George Mason University (GMU),School of Systems Biology
[5] Research Centre for Medical Genetics,Analytic and Translational Genetics Unit
[6] Massachusetts General Hospital,Stanley Center for Psychiatric Research
[7] Broad Institute of Harvard and MIT,Bio
[8] Shanghai Jiaotong University,X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education)
[9] Southwest Jiaotong University,School of Life Science and Engineering
[10] West China Hospital of Sichuan University,The Center of Gerontology and Geriatrics
[11] Affiliated to Nanjing Medical University,Department of Geriatric Psychiatry, Nanjing Brain Hospital
[12] Fudan University,Collaborative Innovation Center of Genetics and Development, School of Life Sciences
[13] The Affiliated Brain Hospital of Nanjing Medical University,Department of Psychiatry
[14] Shanghai Jiao Tong University School of Medicine,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center
来源：
Translational Psychiatry | / 10卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We conducted a cross-trait meta-analysis of genome-wide association study on schizophrenia (SCZ) (n = 65,967), bipolar disorder (BD) (n = 41,653), autism spectrum disorder (ASD) (n = 46,350), attention deficit hyperactivity disorder (ADHD) (n = 55,374), and depression (DEP) (n = 688,809). After the meta-analysis, the number of genomic loci increased from 14 to 19 in ADHD, from 3 to 10 in ASD, from 45 to 57 in DEP, from 8 to 54 in BD, and from 64 to 87 in SCZ. We observed significant enrichment of overlapping genes among different disorders and identified a panel of cross-disorder genes. A total of seven genes were found being commonly associated with four out of five psychiatric conditions, namely GABBR1, GLT8D1, HIST1H1B, HIST1H2BN, HIST1H4L, KCNB1, and DCC. The SORCS3 gene was highlighted due to the fact that it was involved in all the five conditions of study. Analysis of correlations unveiled the existence of two clusters of related psychiatric conditions, SCZ and BD that were separate from the other three traits, and formed another group. Our results may provide a new insight for genetic basis of the five psychiatric disorders.
引用
收藏
相关论文
共 100 条
[1]  
Cardno AG(2000)Twin studies of schizophrenia: from bow-and-arrow concordances to Star Wars Mx and functional genomics Am. J. Med. Genet. 97 12-17
[2]  
Gottesman II(2009)The genetics of bipolar disorder Neuroscience 164 331-343
[3]  
Barnett JH(2015)Epidemiology and heritability of major depressive disorder, stratified by age of onset, sex, and illness course in Generation Scotland: Scottish Family Health Study (GS:SFHS) PLoS ONE 10 e0142197-e0142197
[4]  
Smoller JW(2017)The heritability of autism spectrum disorder reassessing the heritability of autism spectrum disorders letters JAMA 318 1182-1184
[5]  
Fernandez-Pujals AM(2019)Genetics of attention deficit hyperactivity disorder Mol. Psychiatry 24 562-575
[6]  
Sandin S(2019)Identification of common genetic risk variants for autism spectrum disorder Nat. Genet. 51 431-444
[7]  
Faraone SV(2019)Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder Nat. Genet. 51 63-1715 e1716
[8]  
Larsson H(2018)Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypes Cell 173 1705-181
[9]  
Grove J(2018)Multi-trait analysis of genome-wide association summary statistics using MTAG Nat. Genet. 50 229-39
[10]  
Demontis D(2014)A comparison of multivariate genome-wide association methods PLoS ONE 9 854-e164
12345678910