Identifying the Polygenic Basis of the Human Brain and Psychiatric Disorders

描述（由申请人提供）：最近，我们基于双胞胎的磁共振成像（MRI）数据，利用模糊聚类技术制作了第一个人类皮层遗传图谱。这一发现不仅证实了人类大脑的表型是可遗传的特征，而且还证明了一个非常明确的区域特异性遗传模式，其中皮层可以细分为各种多效性区域。在本项目中，我们将进一步扩展这种方法，并将其应用于具有MRI和单核苷酸多态性（SNP）数据的独特大型内部样本，以生成基于SNP的图谱。我们将采用Visscher及其同事（Yang et al. 2010, Deary et al. 2012）开发的统计框架来检查所有snp对表型变异的总体贡献。这种方法类似于双胞胎模型，它检查了对一个性状的总体遗传影响，并且比传统的全基因关联研究（GWAS）方法捕获了更大一部分的遗传性。然而，无论是双胞胎还是Visscher方法都不能提供关于每种遗传分裂背后的特定遗传变异的信息。接下来，我们将采用遗传图谱，并使用新的统计方法找到与每个遗传分裂相关的snp，以建立一个数据库工具，该数据库工具包含有关特定遗传变异对大脑不同部位表型变异的贡献的信息。最后，众所周知，精神疾病和物质使用障碍会影响大脑和行为。我们将结合大脑多基因基础的知识，研究涉及疾病或症状发病机制的遗传变异和机制。该提案的具体目标是：目标1：基于MRI和SNP数据生成人类皮层的遗传图谱。我们将采用一种新的方法来实现Yang等人开发的方法，该方法具有估计所有snp的总体遗传效应的优势，通过模糊聚类生成皮质表面积和厚度的遗传图谱。目标2：发现与皮质簇图和皮质下结构的个体遗传分裂相关的snp。我们将把皮质包裹到由基于双胞胎的遗传图谱定义的遗传大脑区域，并找到与每个大脑区域相关的snp或基因。目标3：确定精神和物质使用障碍的遗传基础，重点关注与这些障碍相关的神经系统的snp。有关与大脑表型相关的snp信息将进一步应用于提高我们在精神病患者中识别疾病相关snp的能力

DESCRIPTION (provided by applicant): Recently we have produced the first genetic atlas of the human cortex based on magnetic resonance imaging (MRI) data of twins using fuzzy clustering. This finding not only confirms that human brain phenotypes are heritable traits but also demonstrates a very clear region-specific genetic pattern in which the cortex can be subdivided into various pleiotropic regions. In this project, we will extend this approach further and apply it to a uniquely large in-house sample with both MRI and single nucleotide polymorphism (SNP) data, in order to generate SNP-based atlases. We will adopt a statistical framework developed by Visscher and colleagues (Yang et al. 2010, Deary et al. 2012) to examine the contribution of all SNPs to phenotypic variation in aggregate. This approach is analogous to twin modeling which examines aggregate genetic influences on a trait, and captures a much larger portion of heritability than the conventional gene-wide association study (GWAS) approach. However, neither the twin nor the Visscher methods is informative about specific genetic variants underlying each genetic division. Next, we will take the genetic maps and find SNPs associated with each genetic division using new statistical methods to establish a database tool that has information about contribution of specific genetic variants to phenotypic variation in different parts of the brain. Finally, it is well-recognized that psychiatric and substance use disorders affect both brain and behavior. We will study the genetic variants and mechanisms that are involved in disease or symptom pathogenesis with benefit from incorporating the knowledge of polygenic basis of the brain. The Specific Aims of the proposal are: Aim 1: Generate genetic atlases of the human cortex based on MRI and SNP data. We will take a novel approach of implementing a method developed by Yang et al, with its strength for estimating aggregate genetic effects of all SNPs, to generate genetic maps of cortical surface area and thickness by fuzzy clustering. Aim 2: Discover SNPs associated with individual genetic divisions of the cortical cluster maps and individual subcortical structures. We will parcel the cortex into genetic brain regions defined by the twin-based genetic atlases and find SNPs or genes associated with each brain region. Aim 3: Identify genetic basis of psychiatric and substance use disorders with a focus on SNPs associated with neural systems implicated in the disorders. The information regarding SNPs associated with brain phenotypes will be further applied to enhance our ability in identifying disease- related SNPs in individuals with psychiatric disorders (including schizophrenia, and bipolar and unipolar disorders) and substance dependence (including alcohol and nicotine dependence).