Barber Robert C, Chang Ling-Yu E, Lemaire Susan M, Burris Agnes, Purdue Gary F, Hunt John L, Arnoldo Brett D, Horton Jureta W
Surgery Department, The University of Texas Southwestern Medical Center, Dallas, Texas 75390-9160, USA.
J Burn Care Res. 2008 Jan-Feb;29(1):168-75. doi: 10.1097/BCR.0b013e31815f59f4.
Replication of statistically significant associations between single nucleotide polymorphisms (SNPs) and disease phenotypes has been problematic. One reason for conflicting observations may be failure to consider confounding factors, including gene-gene (epistatic) interactions. Our experience with the insertion/deletion polymorphism at -688 in the promoter region of plasminogen activator inhibitor (PAI-1) seems to support this contention and may foreshadow problems for genome-wide association scans, which tend to use unadjusted analytical methodologies. One hundred forty-nine patients with > or =15% total body surface area (TBSA) burns, without significant nonburn-related trauma (injury severity score < or =16), traumatic or anoxic brain injury or spinal cord injury who survived >48 hours postadmission were enrolled under a protocol approved by the UT Southwestern and Parkland Hospital IRBs. Clinical data were collected prospectively and candidate polymorphisms in PAI-1 (-688), toll-like receptor 4 (+896), CD14 (-159), tumor necrosis factor-alpha (-308), and interleukin-6 (-174) were genotyped. The PAI-1 SNP was significantly associated (P-value for trend = 0.036) with risk for death when evaluated in isolation by unadjusted analysis. However, after adjustment for potential confounders using multiple logistic regression, only age, full-thickness burn size, and CD14 genotype (as previously reported) were associated with increased mortality. Genetic association analyses should be adjusted for interactions between multiple SNPs, injury or disease characteristics, and demographic variables. Increasingly sophisticated analytical methods will be required as gene-mapping studies transition from a candidate-gene based approach to genome-wide association scans.
单核苷酸多态性(SNP)与疾病表型之间具有统计学意义的关联的复制一直存在问题。观察结果相互矛盾的一个原因可能是未能考虑混杂因素,包括基因-基因(上位性)相互作用。我们在纤溶酶原激活物抑制剂(PAI-1)启动子区域-688处插入/缺失多态性方面的经验似乎支持这一观点,并且可能预示着全基因组关联扫描会出现问题,因为全基因组关联扫描往往使用未经调整的分析方法。149例全身表面积(TBSA)烧伤≥15%、无明显非烧伤相关创伤(损伤严重程度评分≤16)、创伤性或缺氧性脑损伤或脊髓损伤且入院后存活超过48小时的患者,按照德克萨斯大学西南医学中心和帕克兰医院机构审查委员会批准的方案入组。前瞻性收集临床数据,并对PAI-1(-688)、Toll样受体4(+896)、CD14(-159)、肿瘤坏死因子-α(-308)和白细胞介素-6(-174)中的候选多态性进行基因分型。通过未经调整的分析单独评估时,PAI-1 SNP与死亡风险显著相关(趋势P值=0.036)。然而,在使用多元逻辑回归对潜在混杂因素进行调整后,只有年龄、全层烧伤面积和CD14基因型(如先前报道)与死亡率增加相关。基因关联分析应针对多个SNP之间的相互作用、损伤或疾病特征以及人口统计学变量进行调整。随着基因定位研究从基于候选基因的方法转向全基因组关联扫描,将需要越来越复杂的分析方法。