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Microarray genotyping resource to determine population stratification in genetic associationstudies of complex disease

机译:复杂疾病遗传关联研究中用于确定人群分层的微阵列基因分型资源

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摘要

We have developed a robust mic roar ray genotyping chip that will help advance studies in genetic, epidemiology. In population-based genetic association studies of complex disease there could be hidden genetic substructure in the study populations, resulting in false-positive associations Such population stratification may confound efforts to identify true associations between genotype/hap-lotype and phenotype Methods relying on genotyping additional null single nudeolide polymorphism (SNP) markers have been proposed suchas genomic control (GC) and structured association (SA), to correct association tests for population stratification If there is an association of a disease with null SNPs, this suggests that there is a population subset with different genetic background plus different disease susceptibility Genotyping over 100 null SNPs in the large numbets of patient and control DNA samples that are required in genetic association studies can be prohibitively expensive We have therefore developedand tested a re sequencing chip based on arrayed primer extension (APEX) from, over 2000 DNA probe features that facilitate multiple interrogations of each SNP, providing a powerful, accurate, and economical means to simultaneously determine the genotypes at 110 null SNP loci in any individual. Based on 1141 known genotypes from other research groups, our GC SNP chip has an accuracy of 98 5%, including non-calls.
机译:我们已经开发了一种功能强大的mic roar ray基因分型芯片,将有助于推进遗传,流行病学的研究。在复杂疾病的基于人群的遗传关联研究中,研究人群中可能存在隐藏的遗传亚结构,从而导致假阳性关联。此类人群分层可能会使识别基因型/单倍型和表型之间真正关联的工作变得很困难。已经提出了无效的单一裸核苷酸多态性(SNP)标记,例如基因组控制(GC)和结构化关联(SA),以校正人群分层的关联测试如果疾病与无效SNP关联,则表明存在人群具有不同遗传背景和不同疾病易感性的子集进行基因关联研究所需的大量患者和对照DNA样本中超过100个无效SNP的基因分型可能会非常昂贵,因此我们开发并测试了基于阵列引物延伸的重测序芯片(超过2000种DNA探针这些特性有助于对每个SNP进行多次询问,从而提供了一种强大,准确且经济的方法,可同时确定任何个体中110个无效SNP位点的基因型。基于来自其他研究组的1141个已知基因型,我们的GC SNP芯片具有98 5%的准确度,包括非调用。

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