2/2-A Large-Scale Schizophrenia Association Study in Sweden

描述(申请人提供)：这是瑞典大型精神分裂症协会研究R01 MH077139竞争性续展的第二次也是最后一次提交。这个项目非常成功，所有目标都实现了，而且确实超过了。我们成功地确定了我们获得资助的病例和对照的数量(总计N~12,996)。我们没有对候选基因进行基因分型，而是对大约一半的样本进行了基因分型。这些数据是两篇国际精神分裂症联盟自然论文的关键组成部分，也是精神病学GWAS联盟精神分裂症大型分析的相当大的一部分。最后，我们的瑞典样本正被用于美国国立卫生研究院的两项“重大机遇”拨款(外显子组测序和全基因组甲基组学)。我们在这里提出了新的目标，利用这个独特的样本来增加我们对SCZ的了解，并保持这个高生产率的团队完好无损。这里研究的样本将使SCZ的可用样本增加61%，这将为检测具有风险或保护的网络和基因座提供显著增强的能力。在目标1中，我们将完成12,996名受试者(5,851例SCZ病例，7,145名对照)的全样本基因组特征。这包括对所有受试者进行Gwas基因分型和一种新的Illumina“外显子组芯片”，以及对1000例病例和1000名对照进行外显子组测序。所有的检测都是由慈善机构资助的。我们为我们的团队申请资金，以进行严格的质量控制、推算和数据仓库。在目标2中，我们将进行旨在阐明赋予SCZ风险或保护的遗传效应的分析。(2a)路径和网络分析：通过严格评估在经典和新的经验路径中基因组结果是否丰富了基因中较小的p值，确定SCZ的其他高置信度路径。？(2b)对SCZ的外显子组多态进行第一次高功率基因组规模的分析。这种新型的外显子芯片是由Illumina和我们在BRoad的同事开发的，它捕获了错义和无义编码变异，MAF为0.1%，MAF为0.01-0.1%。这可以识别导致SCZ的低频错义或无义多态。(2C)直接对瑞典数据中常见的变异进行基因分型和归因性分析，并与PGC SCZ结果进行Meta分析。按要求进行验证基因分型。预期结果：全基因组10-20个新基因座的重要证据。(2D)确定导致SCZ的结构变化。对CNP、INDELs、新插入和其他结构多态进行第一次系统评估。评估CNV与SCZ的相关性，并与外部结果进行Meta分析。按要求进行验证基因分型。预期结果：增加对主要CNV基因座和新结构变异的作用的了解。在目标3中，估计高置信度遗传效应是否被已建立的SCZ流行病学危险因素所改变。对于这种复杂的性状，环境风险通常可能与因果遗传变异相互作用。对于目标2的结果，如果对流行病学风险因素进行建模，遗传效应是增强还是减弱？风险因素来自高质量的数据库，通常是前瞻性评估的(出生季节、城市/农村出生、父亲和祖父母的年龄、发病前的认知能力和头部创伤)。预期结果：了解特定的遗传和环境风险因素在SCZ中是如何相互作用的，这可能导致新的机械假说。我们的目标是迅速了解更多关于精神分裂症的遗传学，以及基因和环境如何作用和相互作用来改变疾病风险。我们建议使用该领域最大和最全面研究的样本收集来完成这项工作，其中包括遗传和环境风险因素。

DESCRIPTION (provided by applicant): This is the second and final submission of the competitive renewal of R01 MH077139, A Large-Scale Schizophrenia Association Study in Sweden. This project has been very successful with all aims accomplished and, indeed, exceeded. We successfully ascertained the numbers of cases and controls for which we were funded (N~12,996 in total). Instead of candidate gene genotyping, we conducted GWAS on around half the sample. These data were key components in two International Schizophrenia Consortium Nature papers and are a sizable fraction of the Psychiatric GWAS Consortium schizophrenia mega-analysis. Finally, our Swedish sample is being used for two "grand opportunity" NIH grants (exome sequencing and genome-wide methylomics). We propose here new aims that use this unique sample to increase our knowledge of SCZ and to keep this highly productive team intact. The samples studied here will increase available samples for SCZ by 61% which will provide substantially enhanced power for detection of networks and loci that confer risk or protection. In Aim 1, we will complete the genomic characterization of the full sample of 12,996 subjects (5,851 SCZ cases, 7,145 controls). This includes GWAS genotyping and a novel Illumina "exome chip" on all subjects plus exome sequencing on 1,000 cases and 1,000 controls. All assays are funded by philanthropy. We request funds for our team to conduct rigorous quality control, imputation, and data warehousing. In Aim 2, we will conduct analyses designed to elucidate genetic effects that confer risk or protection for SCZ. ¿ (2a) Pathway and network analyses: identify additional high-confidence pathways for SCZ by rigorous assessment of whether genomic results are enriched for smaller p-values in genes in classical and novel empirical pathways. ¿ (2b) Conduct the first highly powered genome-scale analysis of exome polymorphism in SCZ. The novel exome chip was developed by Illumina and our colleagues at the Broad, and captures missense and nonsense coding variation with MAF e0.1%, and a substantial fraction with MAF 0.01-0.1%. This could identify low-frequency missense or nonsense polymorphisms that contribute to SCZ. (2c) Analyze directly genotyped and imputed common variants in the Swedish data, and meta-analyze with the PGC SCZ results. Conduct verification genotyping as required. Anticipated outcome: genome-wide significant evidence for 10-20 novel loci. (2d) Identify structural variation contributing to SCZ. Conduct the first systematic evaluations of CNPs, indels, novel insertions, and other structural polymorphisms. Evaluate CNV associations with SCZ, and meta-analyze with external results. Conduct verification genotyping as required. Anticipated outcome: increase understanding of the major CNV loci, and the role of novel structural variants. In Aim 3, estimate if high-confidence genetic effects are modified by established epidemiological risk factors for SCZ. For this complex trait, environmental risks may generally interact with causal genetic variation. For Aim 2 results, are genetic effects strengthened or lessened if epidemiological risk factors are modeled? Risk factors are from high-quality databases and were often assessed prospectively (season of birth, urban/rural birth, paternal and grandparental age, pre-morbid cognitive attainment, and head trauma). Anticipated outcome: understanding of how specific genetic and environmental risk factors interact in SCZ that could lead to new mechanistic hypotheses. Our goal is rapidly to learn more about the genetics of schizophrenia and how genes and environment might act and interact to alter disease risk. We propose to do this using the largest and most comprehensively studied sample collection in the field and which includes both genetic and environmental risk factors.