Convergent Functional Genomics of Psychiatric Disorders

被引:16
|
作者
Niculescu, Alexander B. [1 ,2 ]
机构
[1] Indiana Univ Sch Med, Dept Psychiat, Indianapolis, IN 46202 USA
[2] Indianapolis VA Med Ctr, Indianapolis, IN USA
关键词
convergent functional genomics; bipolar; animal models; GWAS; gene expression; BIPOLAR DISORDER; WIDE ASSOCIATION; CANDIDATE GENES; ANIMAL-MODEL; KNOCKOUT MICE; MOUSE MODEL; STRESS; DEPRESSION; PATHWAYS; RISK;
D O I
10.1002/ajmg.b.32163
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genetic and gene expression studies, in humans and animal models of psychiatric and other medical disorders, are becoming increasingly integrated. Particularly for genomics, the convergence and integration of data across species, experimental modalities and technical platforms is providing a fit-to-disease way of extracting reproducible and biologically important signal, in contrast to the fit-to-cohort effect and limited reproducibility of human genetic analyses alone. With the advent of whole-genome sequencing and the realization that a major portion of the non-coding genome may contain regulatory variants, Convergent Functional Genomics (CFG) approaches are going to be essential to identify disease-relevant signal from the tremendous polymorphic variation present in the general population. Such work in psychiatry can provide an example of how to address other genetically complex disorders, and in turn will benefit by incorporating concepts from other areas, such as cancer, cardiovascular diseases, and diabetes. (c) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:587 / 594
页数:8
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