SNPs in Neurotransmitter Systems & Personality Traits
神经递质系统中的 SNP
基本信息
- 批准号:6983924
- 负责人:
- 金额:$ 18.34万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-09-01 至 2007-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Identifying genetic variants underlying the risk for complex disorders such as depression is extremely difficult. To complement linkage and association studies of depression, we propose a genetic association study of Neuroticism. The genetics of Neuroticism overlaps significantly with that of depression, but it constitutes a quantitative trait that can be measured in a population sample. Neuroticism is measured with the psychometrically sound, validated NEO personality inventory. Our sample consists of about 1500 subjects in about 500 families ascertained through a hypertensive proband but unselected otherwise, and about 200 hypotensive controls. More than half of the subjects have also been administered the NEO-PI, and all have given blood for genetic DMA analysis. With the first 470 subjects, we found two genetic variants associated with Neuroticism, which were replicated by other laboratories and also found associated with affective disorder in other studies. These findings confirm our underlying hypothesis that identification of genetic variants affecting Neuroticism scores will be relevant for affective disorders. In addition, a whole genome scan has been performed on our sample and will be analyzed for linkage to personality traits, including Neuroticism. In this pilot grant, we propose to continue candidate gene analysis. Candidate genes will be informed by our preliminary data, ongoing microarray analyses, the literature, and linkage analyses. We will start with candidate genes involved in the serotonin system due to our preliminary data. SNPs in these candidate genes will be either known functional (coding or promoter) variants, or selected from the HAPMAP. DNA analysis will be performed with a novel, multiplex (15-30 SNPs) genotyping system and will be compared to commercial genotyping methods for optimization and error rate determination. The nuclear family structure allows both population-based and family-based association studies to be carried out. A variance component model-based association test called QTDT, which is able to account for familial resemblance, is an ideal tool for this type of analysis Haplotype analyses are reported to be more informative than single marker analysis in association studies, and we will use generalized linear models to estimate haplotype effects. At the end, we will compare the results obtained from different association tests, and follow up on the most interesting signals. It is anticipated that this R21 will lead to a more thorough, genome-wide genetic study of Neuroticism in this valuable sample.
描述(由申请人提供):识别复杂疾病(如抑郁症)风险的遗传变异非常困难。为了补充抑郁症的连锁和关联研究,我们提出了神经质的遗传关联研究。神经质的遗传学与抑郁症的遗传学明显重叠,但它构成了一个可以在人群样本中测量的数量性状。神经质是用心理测量学上健全的、经过验证的NEO人格量表来测量的。我们的样本包括约500个家庭的约1500名受试者,其中一名高血压先证者被确诊,但另一名高血压先证者被确诊,另外还有约200名高血压对照者。超过一半的受试者也接受了NEO-PI,所有受试者都提供了用于遗传DNA分析的血液。在最初的470名受试者中,我们发现了两种与神经质相关的遗传变异,这两种变异被其他实验室复制,并且在其他研究中也发现与情感障碍相关。这些发现证实了我们的基本假设,即识别影响神经质分数的遗传变异与情感障碍有关。此外,还对我们的样本进行了全基因组扫描,并将分析与人格特征(包括神经质)的联系。在这项试点补助金中,我们建议继续进行候选基因分析。候选基因将通过我们的初步数据、正在进行的微阵列分析、文献和连锁分析来获得信息。由于我们的初步数据,我们将从参与5-羟色胺系统的候选基因开始。这些候选基因中的SNP将是已知的功能(编码或启动子)变体,或选自HAPMAP。将使用新型多重(15-30个SNP)基因分型系统进行DNA分析,并将其与商业基因分型方法进行比较,以进行优化和错误率测定。核心家庭结构允许进行基于人口和基于家庭的关联研究。方差分量模型为基础的关联测试称为QTDT,它能够解释家族相似性,是这种类型的分析的理想工具,据报道,在关联研究中,单倍型分析比单标记分析提供更多的信息,我们将使用广义线性模型来估计单倍型效应。最后,我们将比较不同关联测试的结果,并跟踪最有趣的信号。预计这个R21将导致在这个有价值的样本中对神经质进行更彻底的全基因组遗传研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Margit Burmeister其他文献
Margit Burmeister的其他文献
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{{ truncateString('Margit Burmeister', 18)}}的其他基金
Integrating context-specific networks to predict ataxia genes
整合上下文特定网络来预测共济失调基因
- 批准号:
8606905 - 财政年份:2013
- 资助金额:
$ 18.34万 - 项目类别:
Integrating context-specific networks to predict ataxia genes
整合上下文特定网络来预测共济失调基因
- 批准号:
8477601 - 财政年份:2013
- 资助金额:
$ 18.34万 - 项目类别:
Ataxia gene identification by integrated genomic analysis
通过整合基因组分析鉴定共济失调基因
- 批准号:
8287395 - 财政年份:2012
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$ 18.34万 - 项目类别:
Ataxia gene identification by integrated genomic analysis
通过整合基因组分析鉴定共济失调基因
- 批准号:
8509126 - 财政年份:2012
- 资助金额:
$ 18.34万 - 项目类别:
Ataxia gene identification by integrated genomic analysis
通过整合基因组分析鉴定共济失调基因
- 批准号:
8424951 - 财政年份:2012
- 资助金额:
$ 18.34万 - 项目类别:
Ataxia gene identification by integrated genomic analysis
通过整合基因组分析鉴定共济失调基因
- 批准号:
8606519 - 财政年份:2012
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Comprehensive genomic approach to rare hearing disorders and ataxia
罕见听力障碍和共济失调的综合基因组方法
- 批准号:
7769460 - 财政年份:2009
- 资助金额:
$ 18.34万 - 项目类别:
Comprehensive genomic approach to rare hearing disorders and ataxia
罕见听力障碍和共济失调的综合基因组方法
- 批准号:
7648320 - 财政年份:2009
- 资助金额:
$ 18.34万 - 项目类别:
Comprehensive genomic approach to rare hearing disorders and ataxia
罕见听力障碍和共济失调的综合基因组方法
- 批准号:
7857691 - 财政年份:2009
- 资助金额:
$ 18.34万 - 项目类别:
SNPs in Neurotransmitter Systems & Personality Traits
神经递质系统中的 SNP
- 批准号:
7140522 - 财政年份:2005
- 资助金额:
$ 18.34万 - 项目类别:
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