全基因组关联研究
精神分裂症(面向对象编程)
遗传关联
透视图(图形)
遗传建筑学
心理干预
多基因风险评分
联想(心理学)
数据科学
精神科
心理学
生物
遗传学
计算机科学
基因
单核苷酸多态性
数量性状位点
人工智能
心理治疗师
基因型
作者
Charlotte Dennison,Sophie E. Legge,Antonio F. Pardiñas,James Walters
标识
DOI:10.1016/j.schres.2019.10.048
摘要
Genome-wide association studies (GWAS) have proved to be a powerful approach for gene discovery in schizophrenia; their findings have important implications not just for our understanding of the genetic architecture of the disorder, but for the potential applications of personalised medicine through improved classification and targeted interventions. In this article we review the current status of the GWAS literature in schizophrenia including functional annotation methods and polygenic risk scoring, as well as the directions and challenges of future research. We consider recent findings in East Asian populations and the advancements from trans-ancestry analysis, as well as the insights gained from research looking across psychiatric disorders.
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