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Genetic Analysis Workshop 17 mini-exome simulation

机译:遗传分析研讨会17小型外显子组模拟

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The data set simulated for Genetic Analysis Workshop 17 was designed to mimic a subset of data that might be produced in a full exome screen for a complex disorder and related risk factors in order to permit workshop participants to investigate issues of study design and statistical genetic analysis. Real sequence data from the 1000 Genomes Project formed the basis for simulating a common disease trait with a prevalence of 30% and three related quantitative risk factors in a sample of 697 unrelated individuals and a second sample of 697 individuals in large, extended pedigrees. Called genotypes for 24,487 autosomal markers assigned to 3,205 genes and simulated affection status, quantitative traits, age, sex, pedigree relationships, and cigarette smoking were provided to workshop participants. The simulating model included both common and rare variants with minor allele frequencies ranging from 0.07% to 25.8% and a wide range of effect sizes for these variants. Genotype-smoking interaction effects were included for variants in one gene. Functional variants were concentrated in genes selected from specific biological pathways and were selected on the basis of the predicted deleteriousness of the coding change. For each sample, unrelated individuals and family, 200 replicates of the phenotypes were simulated.
机译:遗传分析研讨会17的模拟数据集旨在模拟可能在完整外显子组筛查中针对复杂疾病和相关风险因素产生的数据子集,以使研讨会参与者能够研究研究设计和统计遗传分析问题。来自1000个基因组计划的真实序列数据构成了在697个无关个体和697个个体的大样本,扩展谱系中模拟30%患病率和三个相关定量风险因子的常见疾病特征的基础。向参加者提供了24,487个常染色体标记的所谓基因型,这些常染色体标记被分配给3,205个基因,并模拟了患病状况,定量特征,年龄,性别,血统关系和吸烟。该模拟模型包括普通和稀有变异体,其次要等位基因频率范围为0.07%至25.8%,这些变异体的效应大小范围很广。一个基因的变异包括基因型吸烟相互作用效应。功能变体集中在选自特定生物学途径的基因中,并根据预测的编码变化的有害性进行选择。对于每个样本,无关的个体和家庭,模拟了200个表型重复项。

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