Genome-wide association study of panic disorder in the Japanese population.

在这项研究中，我们使用Affymetrix映射500K阵列或基因组范围的人类SNP阵列6.0在两个独立的数据集中进行了全基因组关联研究(GWAS)。我们获得了每个GWA型，并对两个GWA型数据集(718个病例和1717个对照)进行了荟萃分析。在329例患者和861例对照中进行了12个单核苷酸多态性(SNPs)的检测。利用GWASOR荟萃分析结果进行基因本体论丰富和候选基因分析。我们还将多基因得分分析应用于我们的两个GWAS样本，以检验多基因成分对帕金森病的影响的假说。我们的发现表明，小效应的大组常见变种共同解释了帕金森病的风险。

In this study, we conducted a genome-wide association study (GWAS) in two independent data sets using the Affymetrix Mapping 500K Array or Genome-Wide Human SNP Array 6.0. We obtained imputed genotypes for each GWAS and performed a meta-analysis of two GWAS data sets (718 cases and 1717 controls). For follow-up, 12 single-nucleotide polymorphisms (SNPs) were tested in 329 cases and 861 controls. Gene ontology enrichment and candidate gene analyses were conducted using the GWAS or meta-analysis results. We also applied the polygenic score analysis to our two GWAS samples to test the hypothesis of polygenic components contributing to PD. Our findings suggest that large sets of common variants of small effects collectively account for risk of PD.