Ohi K, Shimada T, Yasuyama T, Uehara T, Kawasaki Y
Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan.
Transl Psychiatry. 2017 Jan 3;7(1):e988. doi: 10.1038/tp.2016.260.
Schizophrenia is a common polygenetic disease affecting 0.5-1% of individuals across distinct ethnic populations. PGC-II, the largest genome-wide association study investigating genetic risk factors for schizophrenia, previously identified 128 independent schizophrenia-associated genetic variants (GVs). The current study examined the genetic variability of GVs across ethnic populations. To assess the genetic variability across populations, the 'variability indices' (VIs) of the 128 schizophrenia-associated GVs were calculated. We used 2504 genomes from the 1000 Genomes Project taken from 26 worldwide healthy samples comprising five major ethnicities: East Asian (EAS: n=504), European (EUR: n=503), African (AFR: n=661), American (AMR: n=347) and South Asian (SAS: n=489). The GV with the lowest variability was rs36068923 (VI=1.07). The minor allele frequencies (MAFs) were 0.189, 0.192, 0.256, 0.183 and 0.194 for EAS, EUR, AFR, AMR and SAS, respectively. The GV with the highest variability was rs7432375 (VI=9.46). The MAFs were 0.791, 0.435, 0.041, 0.594 and 0.508 for EAS, EUR, AFR, AMR and SAS, respectively. When we focused on the EAS and EUR population, the allele frequencies of 86 GVs significantly differed between the EAS and EUR (P<3.91 × 10). The GV with the highest variability was rs4330281 (P=1.55 × 10). The MAFs were 0.023 and 0.519 for the EAS and EUR, respectively. The GV with the lowest variability was rs2332700 (P=9.80 × 10). The MAFs were similar between these populations (that is, 0.246 and 0.247 for the EAS and EUR, respectively). Interestingly, the mean allele frequencies of the GVs did not significantly differ between these populations (P>0.05). Although genetic heterogeneities were observed in the schizophrenia-associated GVs across ethnic groups, the combination of these GVs might increase the risk of schizophrenia.
精神分裂症是一种常见的多基因疾病,影响着不同种族人群中0.5% - 1%的个体。精神分裂症遗传学研究第二阶段(PGC-II)是针对精神分裂症遗传风险因素开展的最大规模全基因组关联研究,此前已鉴定出128个与精神分裂症相关的独立基因变异(GVs)。当前研究考察了这些基因变异在不同种族人群中的遗传变异性。为评估不同人群间的遗传变异性,计算了128个与精神分裂症相关的基因变异的“变异指数”(VIs)。我们使用了来自千人基因组计划的2504个基因组,这些基因组取自26个全球健康样本,涵盖五个主要种族:东亚人(EAS:n = 504)、欧洲人(EUR:n = 503)、非洲人(AFR:n = 661)、美洲人(AMR:n = 347)和南亚人(SAS:n = 489)。变异性最低的基因变异是rs36068923(变异指数 = 1.07)。东亚人、欧洲人、非洲人、美洲人和南亚人的次要等位基因频率(MAFs)分别为0.189、0.192、0.256、0.183和0.194。变异性最高的基因变异是rs7432375(变异指数 = 9.46)。东亚人、欧洲人、非洲人、美洲人和南亚人的次要等位基因频率分别为0.791、0.435、0.041、0.594和0.508。当我们聚焦于东亚人和欧洲人群体时,86个基因变异的等位基因频率在东亚人和欧洲人之间存在显著差异(P < 3.91×10)。变异性最高的基因变异是rs4330281(P = 1.55×10)。东亚人和欧洲人的次要等位基因频率分别为0.023和0.519。变异性最低的基因变异是rs2332700(P = 9.80×10)。这两个人群体之间的次要等位基因频率相似(即东亚人和欧洲人分别为0.246和0.247)。有趣的是,这些基因变异的平均等位基因频率在这些人群之间没有显著差异(P > 0.05)。尽管在不同种族群体中与精神分裂症相关的基因变异存在遗传异质性,但这些基因变异的组合可能会增加患精神分裂症的风险。