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首页> 外文期刊>Lancet Neurology >Genome-wide genotyping in Parkinson's disease and neurologically normal controls: first stage analysis and public release of data.
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Genome-wide genotyping in Parkinson's disease and neurologically normal controls: first stage analysis and public release of data.

机译:帕金森氏病和神经系统正常对照的全基因组基因分型:第一阶段分析和数据公开。

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BACKGROUND: Several genes underlying rare monogenic forms of Parkinson's disease have been identified over the past decade. Despite evidence for a role for genetics in sporadic Parkinson's disease, few common genetic variants have been unequivocally linked to this disorder. We sought to identify any common genetic variability exerting a large effect in risk for Parkinson's disease in a population cohort and to produce publicly available genome-wide genotype data that can be openly mined by interested researchers and readily augmented by genotyping of additional repository subjects. METHODS: We did genome-wide, single-nucleotide-polymorphism (SNP) genotyping of publicly available samples from a cohort of Parkinson's disease patients (n=267) and neurologically normal controls (n=270). More than 408,000 unique SNPs were used from the Illumina Infinium I and HumanHap300 assays. FINDINGS: We have produced around 220 million genotypes in 537 participants. This raw genotype data has been and as such is the first publicly accessible high-density SNP data outside of the International HapMap Project. We also provide here the results of genotype and allele association tests. INTERPRETATION: We generated publicly available genotype data for Parkinson's disease patients and controls so that these data can be mined and augmented by other researchers to identify common genetic variability that results in minor and moderate risk for disease.
机译:背景:在过去的十年中,已经发现了一些罕见的单基因形式的帕金森氏病基础基因。尽管有证据表明遗传学在散发性帕金森氏病中起作用,但很少有常见的遗传变异与这种疾病明确相关。我们试图确定在人群队列中对帕金森氏病的风险有重大影响的任何常见遗传变异,并产生可被感兴趣的研究人员公开获取并易于通过其他储藏对象的基因分型而增加的可公开获得的全基因组基因型数据。方法:我们对来自帕金森氏病患者(n = 267)和神经系统正常对照(n = 270)的人群中可公开获得的样品进行了全基因组单核苷酸多态性(SNP)基因分型。 Illumina Infinium I和HumanHap300分析使用了408,000多种独特SNP。结果:我们在537位参与者中产生了约2.2亿个基因型。该原始基因型数据已经存在,因此是国际HapMap项目之外的第一个可公开访问的高密度SNP数据。我们还在此处提供基因型和等位基因关联测试的结果。解释:我们为帕金森氏病患者和对照生成了可公开获得的基因型数据,以便其他研究人员可以挖掘和扩充这些数据,以识别导致轻微和中度疾病风险的常见遗传变异。

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