Daley Denise, Lemire Mathieu, Akhabir Loubna, Chan-Yeung Moira, He Jian Qing, McDonald Treena, Sandford Andrew, Stefanowicz Dorota, Tripp Ben, Zamar David, Bosse Yohan, Ferretti Vincent, Montpetit Alexandre, Tessier Marie-Catherine, Becker Allan, Kozyrskyj Anita L, Beilby John, McCaskie Pamela A, Musk Bill, Warrington Nicole, James Alan, Laprise Catherine, Palmer Lyle J, Paré Peter D, Hudson Thomas J
James Hogg iCAPTURE Center, University of British Columbia (UBC), 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Hum Genet. 2009 May;125(4):445-59. doi: 10.1007/s00439-009-0643-8. Epub 2009 Feb 27.
Asthma, atopy, and related phenotypes are heterogeneous complex traits, with both genetic and environmental risk factors. Extensive research has been conducted and over hundred genes have been associated with asthma and atopy phenotypes, but many of these findings have failed to replicate in subsequent studies. To separate true associations from false positives, candidate genes need to be examined in large well-characterized samples, using standardized designs (genotyping, phenotyping and analysis). In an attempt to replicate previous associations we amalgamated the power and resources of four studies and genotyped 5,565 individuals to conduct a genetic association study of 93 previously associated candidate genes for asthma and related phenotypes using the same set of 861 single-nucleotide polymorphisms (SNPs), a common genotyping platform, and relatively harmonized phenotypes. We tested for association between SNPs and the dichotomous outcomes of asthma, atopy, atopic asthma, and airway hyperresponsiveness using a general allelic likelihood ratio test. No SNP in any gene reached significance levels that survived correction for all tested SNPs, phenotypes, and genes. Even after relaxing the usual stringent multiple testing corrections by performing a gene-based analysis (one gene at a time as if no other genes were typed) and by stratifying SNPs based on their prior evidence of association, no genes gave strong evidence of replication. There was weak evidence to implicate the following: IL13, IFNGR2, EDN1, and VDR in asthma; IL18, TBXA2R, IFNGR2, and VDR in atopy; TLR9, TBXA2R, VDR, NOD2, and STAT6 in airway hyperresponsiveness; TLR10, IFNGR2, STAT6, VDR, and NPSR1 in atopic asthma. Additionally we found an excess of SNPs with small effect sizes (OR < 1.4). The low rate of replication may be due to small effect size, differences in phenotypic definition, differential environmental effects, and/or genetic heterogeneity. To aid in future replication studies of asthma genes a comprehensive database was compiled and is available to the scientific community at http://genapha.icapture.ubc.ca/.
哮喘、特应性及相关表型是具有遗传和环境风险因素的异质性复杂性状。人们已经进行了广泛的研究,有超过一百个基因与哮喘和特应性表型相关,但其中许多研究结果在后续研究中未能得到重复验证。为了区分真正的关联与假阳性结果,需要在特征明确的大样本中,采用标准化设计(基因分型、表型分型和分析)对候选基因进行检测。为了重复先前的关联研究,我们整合了四项研究的力量和资源,对5565名个体进行基因分型,使用同一组861个单核苷酸多态性(SNP)、一个通用的基因分型平台以及相对统一的表型,对93个先前报道的与哮喘及相关表型相关的候选基因进行遗传关联研究。我们使用一般等位基因似然比检验来检测SNP与哮喘、特应性、特应性哮喘和气道高反应性的二分结局之间的关联。在所有检测的SNP、表型和基因中,没有任何一个基因中的SNP达到经校正后仍具有统计学意义的水平。即使通过基于基因的分析(一次分析一个基因,就好像没有检测其他基因一样)以及根据SNP先前的关联证据进行分层,放宽通常严格的多重检验校正后,也没有基因能提供强有力的重复验证证据。有微弱证据表明以下基因与相关性状有关:哮喘中的白细胞介素13(IL13)、干扰素γ受体2(IFNGR2)、内皮素1(EDN1)和维生素D受体(VDR);特应性中的白细胞介素18(IL18)、血栓素A2受体(TBXA2R)、IFNGR2和VDR;气道高反应性中的Toll样受体9(TLR9)、TBXA2R、VDR、核苷酸结合寡聚化结构域蛋白2(NOD2)和信号转导及转录激活因子6(STAT6);特应性哮喘中的TLR10、IFNGR2、STAT6、VDR和神经肽S受体1(NPSR1)。此外,我们发现效应大小较小(比值比<1.4)的SNP数量过多。重复率低可能是由于效应大小小、表型定义差异、环境效应不同和/或遗传异质性。为了帮助未来进行哮喘基因的重复研究,我们编制了一个综合数据库,可在http://genapha.icapture.ubc.ca/上供科学界使用。