Menon Ramkumar, Velez Digna R, Simhan Hyagriv, Ryckman Kelli, Jiang Lan, Thorsen Poul, Vogel Ida, Jacobsson Bo, Merialdi Mario, Williams Scott M, Fortunato Stephen J
The Perinatal Research Center, Nashville, TN 37203, USA.
Am J Obstet Gynecol. 2006 Jun;194(6):1616-24. doi: 10.1016/j.ajog.2006.03.059.
We hypothesize that genetic variations (single nucleotide polymorphisms-SNPs) in the tumor necrosis factor-alpha (TNF-alpha), TNF receptors (TNFRI and TNFRII), interleukin-6 (IL-6) and IL-6 receptor (IL-6R) genes predict high-risk status for spontaneous preterm birth (sPTB) in European-American women. In this study we examine the allelic and genotypic variations and the gene-gene interactions in the TNF-alpha, TNFRs, IL-6, and IL-6R genes in maternal DNA samples by using a case-control model.
Maternal DNA from cases of sPTB after preterm labor (n = 101) and controls (normal term labor and delivery) (n = 321) were genotyped for SNPs in the TNF-alpha (6), TNFRI (6), TNFRII (7), IL-6 (5), and IL-6R (3) loci. SNPs were tested for both allele and genotype differences (cases vs controls) with the use of standard genetic epidemiologic methods. Multilocus interaction was assessed with multifactor dimensionality reduction analysis (MDR) to test all single and multilocus combinations for the ability to predict sPTB.
Few significant allelic and genotypic associations were detected between cases and controls in maternal DNA. Single locus analysis documented independent association of SNPs at -7294 (allele and genotype) of TNFRI and 24660 (genotype) TNFRII loci with sPTB. MDR revealed a significant 3 locus model that includes SNPs -3448 of TNF-alpha, -7227 of IL-6, and 33314 of IL-6R. This interactive model allowed the successful prediction of pre- to low-risk genotypes is 3.50 (95% CI 2.52-4.87, P < .001).
This is the first report to document a multilocus interaction in sPTB that predicts 65.2% of the cases in a European-American sample. Although putatively significant associations with sPTB were seen at a few single locus sites in TNFRI and TNFRII, they were not as predictive as the 3-locus model produced by MDR, suggesting the use of multilocus analyses in gene association studies of complex disease such as sPTB.
我们假设肿瘤坏死因子-α(TNF-α)、TNF受体(TNFRI和TNFRII)、白细胞介素-6(IL-6)和IL-6受体(IL-6R)基因中的遗传变异(单核苷酸多态性-SNPs)可预测欧美女性自发性早产(sPTB)的高危状态。在本研究中,我们采用病例对照模型,检测了母体DNA样本中TNF-α、TNFRs、IL-6和IL-6R基因的等位基因和基因型变异以及基因-基因相互作用。
对早产(n = 101)后sPTB病例和对照组(足月分娩)(n = 321)的母体DNA进行基因分型,检测TNF-α(6个)、TNFRI(6个)、TNFRII(7个)、IL-6(5个)和IL-6R(3个)位点的SNPs。使用标准的遗传流行病学方法检测SNPs的等位基因和基因型差异(病例组与对照组)。采用多因素降维分析(MDR)评估多位点相互作用,以测试所有单一位点和多位点组合预测sPTB的能力。
在母体DNA中,病例组与对照组之间未检测到显著的等位基因和基因型关联。单一位点分析记录了TNFRI的-7294位点(等位基因和基因型)和TNFRII的24660位点(基因型)的SNPs与sPTB的独立关联。MDR揭示了一个显著的三位点模型,该模型包括TNF-α的-3448位点、IL-6的-7227位点和IL-6R的33314位点。这个交互模型成功预测了高危到低危基因型的比例为3.50(95%可信区间2.52 - 4.87,P <.001)。
这是第一份记录sPTB中多位点相互作用的报告,该相互作用在欧美样本中可预测65.2%的病例。尽管在TNFRI和TNFRII的一些单一位点与sPTB存在假定的显著关联,但它们的预测能力不如MDR产生的三位点模型,这表明在sPTB等复杂疾病的基因关联研究中应使用多位点分析。