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Genetic regulation of human brain proteome reveals proteins implicated in psychiatric disorders.
Luo, Jie; Li, Ling; Niu, Mingming; Kong, Dehui; Jiang, Yi; Poudel, Suresh; Shieh, Annie W; Cheng, Lijun; Giase, Gina; Grennan, Kay; White, Kevin P; Chen, Chao; Wang, Sidney H; Pinto, Dalila; Wang, Yue; Liu, Chunyu; Peng, Junmin; Wang, Xusheng.
Afiliación
  • Luo J; State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, 310021, China.
  • Li L; Department of Genetics, Genomics & Informatics, University of Tennessee Health Science Center, Memphis, TN, 38103, USA.
  • Niu M; Department of Structural Biology and Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
  • Kong D; Department of Genetics, Genomics & Informatics, University of Tennessee Health Science Center, Memphis, TN, 38103, USA.
  • Jiang Y; Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
  • Poudel S; Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
  • Shieh AW; Knapp Center for Biomedical Discovery, University of Chicago, Chicago, IL, 60637, USA.
  • Cheng L; Knapp Center for Biomedical Discovery, University of Chicago, Chicago, IL, 60637, USA.
  • Giase G; Knapp Center for Biomedical Discovery, University of Chicago, Chicago, IL, 60637, USA.
  • Grennan K; Knapp Center for Biomedical Discovery, University of Chicago, Chicago, IL, 60637, USA.
  • White KP; Department of Biochemistry and Precision Medicine, National University, Singapore, 119077, Singapore.
  • Chen C; Center for Medical Genetics and Human Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, 410083, China.
  • Wang SH; Center for Human Genetics, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, 77225, USA.
  • Pinto D; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Wang Y; Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA, 22203, USA.
  • Liu C; Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, 13210, USA. liuch@upstate.edu.
  • Peng J; Department of Structural Biology and Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA. junmin.peng@stjude.org.
  • Wang X; Department of Genetics, Genomics & Informatics, University of Tennessee Health Science Center, Memphis, TN, 38103, USA. xwang39@uthsc.edu.
Mol Psychiatry ; 2024 May 09.
Article en En | MEDLINE | ID: mdl-38724566
ABSTRACT
Psychiatric disorders are highly heritable yet polygenic, potentially involving hundreds of risk genes. Genome-wide association studies have identified hundreds of genomic susceptibility loci with susceptibility to psychiatric disorders; however, the contribution of these loci to the underlying psychopathology and etiology remains elusive. Here we generated deep human brain proteomics data by quantifying 11,608 proteins across 268 subjects using 11-plex tandem mass tag coupled with two-dimensional liquid chromatography-tandem mass spectrometry. Our analysis revealed 788 cis-acting protein quantitative trait loci associated with the expression of 883 proteins at a genome-wide false discovery rate <5%. In contrast to expression at the transcript level and complex diseases that are found to be mainly influenced by noncoding variants, we found protein expression level tends to be regulated by non-synonymous variants. We also provided evidence of 76 shared regulatory signals between gene expression and protein abundance. Mediation analysis revealed that for most (88%) of the colocalized genes, the expression levels of their corresponding proteins are regulated by cis-pQTLs via gene transcription. Using summary data-based Mendelian randomization analysis, we identified 4 proteins and 19 genes that are causally associated with schizophrenia. We further integrated multiple omics data with network analysis to prioritize candidate genes for schizophrenia risk loci. Collectively, our findings underscore the potential of proteome-wide linkage analysis in gaining mechanistic insights into the pathogenesis of psychiatric disorders.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mol Psychiatry / Mol. psychiatry / Molecular psychiatry Asunto de la revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mol Psychiatry / Mol. psychiatry / Molecular psychiatry Asunto de la revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Año: 2024 Tipo del documento: Article País de afiliación: China
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