Impact of complex genetic variation in COMT on human brain function

被引:0
|
作者
A Meyer-Lindenberg
T Nichols
J H Callicott
J Ding
B Kolachana
J Buckholtz
V S Mattay
M Egan
D R Weinberger
机构
[1] Unit for Systems Neuroscience in Psychiatry,Department of Biostatistics
[2] National Institute of Mental Health,undefined
[3] NIH,undefined
[4] DHHS,undefined
[5] Neuroimaging Core Facility,undefined
[6] National Institute of Mental Health,undefined
[7] NIH,undefined
[8] DHHS,undefined
[9] Clinical Brain Disorders Branch,undefined
[10] Genes,undefined
[11] Cognition and Psychosis Program,undefined
[12] National Institute of Mental Health,undefined
[13] NIH,undefined
[14] DHHS,undefined
[15] University of Michigan,undefined
来源
Molecular Psychiatry | 2006年 / 11卷
关键词
COMT; n-back; haplotypes; prefrontal cortex; schizophrenia; fMRI;
D O I
暂无
中图分类号
学科分类号
摘要
Catechol-O-methyltransferase (COMT) has been shown to be critical for prefrontal dopamine flux, prefrontal cortex-dependent cognition and activation. Several potentially functional variants in the gene have been identified, but considerable controversy exists regarding the contribution of individual alleles and haplotypes to risk for schizophrenia, partly because clinical phenotypes are ill-defined and preclinical studies are limited by lack of adequate models. Here, we propose a neuroimaging approach to overcome these limitations by characterizing the functional impact of ambiguous haplotypes on a neural system-level intermediate phenotype in humans. Studying 126 healthy control subjects during a working-memory paradigm, we find that a previously described risk variant in a functional Val158Met (rs4680) polymorphism interacts with a P2 promoter region SNP (rs2097603) and an SNP in the 3′ region (rs165599) in predicting inefficient prefrontal working memory response. We report evidence that the nonlinear response of prefrontal neurons to dopaminergic stimulation is a neural mechanism underlying these nonadditive genetic effects. This work provides an in vivo approach to functional validation in brain of the biological impact of complex genetic variations within a gene that may be critical for its clinical association.
引用
收藏
页码:867 / 877
页数:10
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