Kang Guolian, Gao Guimin, Shete Sanjay, Redden David T, Chang Bao-Li, Rebbeck Timothy R, Barnholtz-Sloan Jill S, Pajewski Nicholas M, Allison David B
Section on Statistical Genetics, Department of Biostatistics, The University of Alabama at Birmingham, Birmingham, AL, USA.
Front Genet. 2011;2. doi: 10.3389/fgene.2011.00011.
As genome-wide association studies expand beyond populations of European ancestry, the role of admixture will become increasingly important in the continued discovery and fine-mapping of variation influencing complex traits. Although admixture is commonly viewed as a confounding influence in association studies, approaches such as admixture mapping have demonstrated its ability to highlight disease susceptibility regions of the genome. In this study, we illustrate a powerful two-stage testing strategy designed to uncover trait-associated single nucleotide polymorphisms in the presence of ancestral allele frequency differentiation. In the first stage, we conduct an association scan by using predicted genotypic values based on regional admixture estimates. We then select a subset of promising markers for inclusion in a second-stage analysis, where association is tested between the observed genotype and the phenotype conditional on the predicted genotype. We prove that, under the null hypothesis, the test statistics used in each stage are orthogonal and asymptotically independent. Using simulated data designed to mimic African-American populations in the case of a quantitative trait, we show that our two-stage procedure maintains appropriate control of the family wise error rate and has higher power under realistic effect sizes than the one-stage testing procedure in which all markers are tested for association simultaneously with control of admixture. We apply the proposed procedure to a study of height in 201 African-Americans genotyped at 108 ancestry informative markers. The two-stage procedure identified two statistically significant markers rs1985080 (PTHB1/BBS9) and rs952718 (ABCA12). PTHB1/BBS9 is downregulated by parathyroid hormone in osteoblastic cells and is thought to be involved in parathyroid hormone action in bones and may play a role in height. ABCA12 is a member of the superfamily of ATP-binding cassette transporters and its potential involvement in height is unclear.
随着全基因组关联研究扩展到欧洲血统以外的人群,在持续发现和精细定位影响复杂性状的变异方面,基因混合的作用将变得越来越重要。尽管在关联研究中,基因混合通常被视为一种混杂影响,但诸如混合映射等方法已证明其能够突出基因组中的疾病易感性区域。在本研究中,我们阐述了一种强大的两阶段测试策略,旨在揭示存在祖先等位基因频率差异时与性状相关的单核苷酸多态性。在第一阶段,我们通过使用基于区域混合估计的预测基因型值进行关联扫描。然后,我们选择一组有前景的标记纳入第二阶段分析,在该阶段中,根据预测基因型对观察到的基因型和表型之间的关联进行测试。我们证明,在原假设下,每个阶段使用的检验统计量是正交的且渐近独立。使用设计用于模拟非裔美国人数量性状的模拟数据,我们表明,与在控制基因混合的情况下同时对所有标记进行关联测试的单阶段测试程序相比,我们的两阶段程序能够适当控制家族性错误率,并且在实际效应大小下具有更高的检验效能。我们将所提出的程序应用于对201名非裔美国人身高的研究,这些人在108个祖先信息标记处进行了基因分型。两阶段程序确定了两个具有统计学意义的标记rs1985080(PTHB1/BBS9)和rs952718(ABCA12)。PTHB1/BBS9在成骨细胞中受甲状旁腺激素下调,被认为参与甲状旁腺激素在骨骼中的作用,可能在身高方面发挥作用。ABCA12是ATP结合盒转运蛋白超家族的成员,其与身高的潜在关联尚不清楚。