‘Omics’of suicidal behaviour:A path to personalised psychiatry  

作　　者：Katarina Kouter Alja Videtic Paska 

机构地区：[1]Faculty of Medicine,Institute of Biochemistry and Molecular Genetics,University of Ljubljana,Ljubljana SI-1000,Slovenia

出　　处：《World Journal of Psychiatry》2021年第10期774-790,共17页世界精神病学杂志

基　　金：Supported by the Slovenian Research Agency Research Programme,No.P1-0390,No.J3-7132,and No.Z3-2653.

摘　　要：Psychiatric disorders,including suicide,are complex disorders that are affected by many different risk factors.It has been estimated that genetic factors contribute up to 50%to suicide risk.As the candidate gene approach has not identified a gene or set of genes that can be defined as biomarkers for suicidal behaviour,much is expected from cutting edge technological approaches that can interrogate several hundred,or even millions,of biomarkers at a time.These include the‘-omic’approaches,such as genomics,transcriptomics,epigenomics,proteomics and metabolomics.Indeed,these have revealed new candidate biomarkers associated with suicidal behaviour.The most interesting of these have been implicated in inflammation and immune responses,which have been revealed through different study approaches,from genome-wide single nucleotide studies and the micro-RNA transcriptome,to the proteome and metabolome.However,the massive amounts of data that are generated by the‘-omic’technologies demand the use of powerful computational analysis,and also specifically trained personnel.In this regard,machine learning approaches are beginning to pave the way towards personalized psychiatry.

关 键 词：EPIGENOMICS DNA methylation MICRO-RNA Genome METABOLOME SUICIDE 

分 类 号：R749[医药卫生—神经病学与精神病学]