Fast set-based association analysis using summary data from GWAS identifies novel gene loci for human complex traits.
Fast set-based association analysis using summary data from GWAS identifies novel gene loci for human complex traits.
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DOI：
10.1038/srep32894
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发表时间：
2016-09-08
影响因子：
4.6
通讯作者：
Yang J
中科院分区：
文献类型：
--
作者：
Bakshi A;Zhu Z;Vinkhuyzen AA;Hill WD;McRae AF;Visscher PM;Yang J
我们提出了一种方法（fastBAT），该方法使用来自全基因组关联研究（GWAS）的汇总级数据和来自具有个体水平基因型的参考样本的连锁不平衡（LD）数据对人类复杂性状进行快速的基于集合的关联分析。我们通过对真实数据集的模拟和分析证明，fastBAT 比主流方法更准确，速度也快几个数量级。使用 fastBAT，我们分析了 GWAS 对 150,064-339,224 个人的身高、体重指数 (BMI) 和精神分裂症的最新荟萃分析的摘要数据。我们在 PfastBAT < 5 × 10−8 上识别出 6 个新的身高基因位点、2 个 BMI 基因位点和 3 个精神分裂症基因位点。功率的增益是由于这些位点上的多个小的独立关联信号（例如精神分裂症的 THRB 和 FOXP1 位点）。该方法具有通用性，可应用于人类所有复杂性状和疾病的 GWAS 数据以及其他物种的此类数据。
We propose a method (fastBAT) that performs a fast set-based association analysis for human complex traits using summary-level data from genome-wide association studies (GWAS) and linkage disequilibrium (LD) data from a reference sample with individual-level genotypes. We demonstrate using simulations and analyses of real datasets that fastBAT is more accurate and orders of magnitude faster than the prevailing methods. Using fastBAT, we analyze summary data from the latest meta-analyses of GWAS on 150,064–339,224 individuals for height, body mass index (BMI), and schizophrenia. We identify 6 novel gene loci for height, 2 for BMI, and 3 for schizophrenia at PfastBAT < 5 × 10−8. The gain of power is due to multiple small independent association signals at these loci (e.g. the THRB and FOXP1 loci for schizophrenia). The method is general and can be applied to GWAS data for all complex traits and diseases in humans and to such data in other species.
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影响因子：
9.8
作者：
Gusev, Alexander;Lee, S. Hong;Price, Alkes L.
通讯作者：
Price, Alkes L.
影响因子：
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Yang, Jian;Ferreira, Teresa;Morris, Andrew P.;Medland, Sarah E.;Madden, Pamela A. F.;Heath, Andrew C.;Martin, Nicholas G.;Montgomery, Grant W.;Weedon, Michael N.;Loos, Ruth J.;Frayling, Timothy M.;McCarthy, Mark I.;Hirschhorn, Joel N.;Goddard, Michael E.;Visscher, Peter M.
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Visscher, Peter M.
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影响因子：
4.3
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通讯作者：
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影响因子：
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通讯作者：
Skol, Andrew