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全基因组关联分析在非裔和非裔人群中的人体测量特征。

Genome-wide association of anthropometric traits in African- and African-derived populations.

机构信息

Department of Biostatistics and Epidemiology, Case Western Reserve University, Cleveland, OH 44106, USA.

出版信息

Hum Mol Genet. 2010 Jul 1;19(13):2725-38. doi: 10.1093/hmg/ddq154. Epub 2010 Apr 16.

Abstract

Genome-wide association (GWA) studies have identified common variants that are associated with a variety of traits and diseases, but most studies have been performed in European-derived populations. Here, we describe the first genome-wide analyses of imputed genotype and copy number variants (CNVs) for anthropometric measures in African-derived populations: 1188 Nigerians from Igbo-Ora and Ibadan, Nigeria, and 743 African-Americans from Maywood, IL. To improve the reach of our study, we used imputation to estimate genotypes at approximately 2.1 million single-nucleotide polymorphisms (SNPs) and also tested CNVs for association. No SNPs or common CNVs reached a genome-wide significance level for association with height or body mass index (BMI), and the best signals from a meta-analysis of the two cohorts did not replicate in approximately 3700 African-Americans and Jamaicans. However, several loci previously confirmed in European populations showed evidence of replication in our GWA panel of African-derived populations, including variants near IHH and DLEU7 for height and MC4R for BMI. Analysis of global burden of rare CNVs suggested that lean individuals possess greater total burden of CNVs, but this finding was not supported in an independent European population. Our results suggest that there are not multiple loci with strong effects on anthropometric traits in African-derived populations and that sample sizes comparable to those needed in European GWA studies will be required to identify replicable associations. Meta-analysis of this data set with additional studies in African-ancestry populations will be helpful to improve power to detect novel associations.

摘要

全基因组关联(GWA)研究已经确定了与多种特征和疾病相关的常见变异,但大多数研究都是在欧洲人群中进行的。在这里,我们描述了首次对非洲人群进行的关于人体测量特征的基因组范围内的基因型和拷贝数变异(CNV)的分析:来自尼日利亚伊博奥拉和伊巴丹的 1188 名尼日利亚人,以及来自伊利诺伊州梅伍德的 743 名非裔美国人。为了扩大我们研究的范围,我们使用了估算基因型的方法,对大约 210 万个单核苷酸多态性(SNP)进行了估算,并且还对 CNV 进行了关联测试。没有 SNP 或常见 CNV 达到与身高或体重指数(BMI)相关的全基因组显著水平,并且两个队列的荟萃分析中最好的信号在大约 3700 名非裔美国人和牙买加人中没有得到复制。然而,在欧洲人群中先前已经确认的几个位点在我们的非洲人群 GWA 面板中显示出了复制的证据,包括与身高相关的 IHH 和 DLEU7 附近的变体以及与 BMI 相关的 MC4R。罕见 CNV 的全球负担分析表明,瘦个体具有更大的 CNV 总负担,但这一发现在一个独立的欧洲人群中并没有得到支持。我们的结果表明,在非洲人群中,没有多个具有强效影响人体测量特征的位点,并且需要与欧洲 GWA 研究中相当的样本量才能识别可复制的关联。与非洲血统人群中的其他研究进行此数据集的荟萃分析将有助于提高检测新关联的能力。

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