Rogers Angela J, Raby Benjamin A, Lasky-Su Jessica A, Murphy Amy, Lazarus Ross, Klanderman Barbara J, Sylvia Jody S, Ziniti John P, Lange Christoph, Celedón Juan C, Silverman Edwin K, Weiss Scott T
Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA.
Am J Respir Crit Care Med. 2009 Jun 15;179(12):1084-90. doi: 10.1164/rccm.200812-1860OC. Epub 2009 Mar 5.
Association studies have implicated many genes in asthma pathogenesis, with replicated associations between single-nucleotide polymorphisms (SNPs) and asthma reported for more than 30 genes. Genome-wide genotyping enables simultaneous evaluation of most of this variation, and facilitates more comprehensive analysis of other common genetic variation around these candidate genes for association with asthma.
To use available genome-wide genotypic data to assess the reproducibility of previously reported associations with asthma and to evaluate the contribution of additional common genetic variation surrounding these loci to asthma susceptibility.
Illumina Human Hap 550Kv3 BeadChip (Illumina, San Diego, CA) SNP arrays were genotyped in 422 nuclear families participating in the Childhood Asthma Management Program. Genes with at least one SNP demonstrating prior association with asthma in two or more populations were tested for evidence of association with asthma, using family-based association testing.
We identified 39 candidate genes from the literature, using prespecified criteria. Of the 160 SNPs previously genotyped in these 39 genes, 10 SNPs in 6 genes were significantly associated with asthma (including the first independent replication for asthma-associated integrin beta(3) [ITGB3]). Evaluation of 619 additional common variants included in the Illumina 550K array revealed additional evidence of asthma association for 15 genes, although none were significant after adjustment for multiple comparisons.
We replicated asthma associations for a minority of candidate genes. Pooling genome-wide association study results from multiple studies will increase the power to appreciate marginal effects of genes and further clarify which candidates are true "asthma genes."
关联研究表明许多基因与哮喘发病机制有关,已有超过30个基因的单核苷酸多态性(SNP)与哮喘之间的关联得到重复验证。全基因组基因分型能够同时评估大部分此类变异,并有助于更全面地分析这些候选基因周围的其他常见遗传变异与哮喘的关联。
利用现有的全基因组基因型数据评估先前报道的与哮喘关联的可重复性,并评估这些基因座周围其他常见遗传变异对哮喘易感性的贡献。
对参与儿童哮喘管理项目的422个核心家庭进行Illumina Human Hap 550Kv3 BeadChip(Illumina,加利福尼亚州圣地亚哥)SNP阵列基因分型。使用基于家系的关联测试,对至少有一个SNP在两个或更多人群中显示出与哮喘有先前关联的基因进行与哮喘关联的证据测试。
我们使用预先设定的标准从文献中确定了39个候选基因。在这39个基因中先前已进行基因分型的160个SNP中,6个基因中的10个SNP与哮喘显著相关(包括哮喘相关整合素β3 [ITGB3]的首次独立重复验证)。对Illumina 550K阵列中包含的另外619个常见变异的评估揭示了15个基因与哮喘关联的更多证据,尽管在进行多重比较校正后均无显著性。
我们仅对少数候选基因的哮喘关联进行了重复验证。汇总多项研究的全基因组关联研究结果将提高识别基因边缘效应的能力,并进一步明确哪些候选基因是真正的“哮喘基因”。