首页> 外文会议>Pacific Symposium on Biocomputing 2006 >RISK FACTOR INTERACTIONS AND GENETIC EFFECTS ASSOCIATED WITH POST-OPERATIVE ATRIAL FIBRILLATION
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RISK FACTOR INTERACTIONS AND GENETIC EFFECTS ASSOCIATED WITH POST-OPERATIVE ATRIAL FIBRILLATION

机译:术后心房纤颤相关的危险因素相互作用和遗传效应

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Postoperative Atrial Fibrillation (PoAF) is the most common arrhythmia after heart surgery, and continues to be a major cause of morbidity Due to the complexity of this condition, many genes and/or environmental factors may play a role in susceptibility. Previous findings have shown several clinical and genetic risk factors for the development of PoAF. The goal of this study was to determine whether interactions among candidate genes and a variety of clinical factors are associated with PoAF. We applied the Multifactor Dimensionality Reduction (MDR) method to detect interactions in a sample of 940 adult subjects undergoing elective procedures of the heart or great vessels, requiring general anesthesia and sternotomy or thoracotomy, where 255 developed PoAF. We took a random sample of controls matched to the 255 AF cases for a total sample size of 510 individuals. MDR is a powerful statistical approach used to detect gene-gene or gene-environment interactions in the presence or absence of statistically detectable main effects in pharmacogenomics studies. We chose polymorphisms in three (IL-6, ACE, and ApoE) candidate genes, all previously implicated in PoAF risk, and a variety of environmental factors for analysis. We detected a single locus effect of IL-6 which is able to correctly predict disease status with 58.8% (p < 0.001) accuracy. We also detected an interaction between history of AF and length of hospital stay that predicted disease status with 68.34% (p < 0.001) accuracy. These findings demonstrate the utility of novel computational approaches for the detection of disease susceptibility genes. While each of these results looks interesting, they only explain part of PoAF susceptibility. It will be important to collect a larger set of candidate genes and environmental factors to better characterize the development of PoAF. Applying this approach, we were able to elucidate potential associations with postoperative atrial fibrillation.
机译:术后房颤(PoAF)是心脏手术后最​​常见的心律不齐,并且仍然是发病的主要原因。由于这种情况的复杂性,许多基因和/或环境因素可能在易感性中起作用。先前的发现显示了PoAF发生的几种临床和遗传风险因素。这项研究的目的是确定候选基因与多种临床因素之间的相互作用是否与PoAF相关。我们应用多维度降维(MDR)方法检测940名接受心脏或大血管的选择性手术的成年受试者的样本中的相互作用,这些受试者需要全身麻醉和胸骨切开术或开胸手术,其中255例出现了PoAF。我们随机抽取了与255个AF病例匹配的对照样本,样本总数为510个人。 MDR是一种强大的统计方法,可用于在药物基因组学研究中检测是否存在可统计学检测到的主要作用时检测基因-基因或基因-环境相互作用。我们在三个候选基因(IL-6,ACE和ApoE)中选择了多态性,所有这些基因先前都与PoAF风险有关,并选择了多种环境因素进行分析。我们检测到IL-6的单一基因座效应,能够以58.8%(p <0.001)的准确度正确预测疾病状态。我们还检测了房颤史与住院时间之间的相互作用,该相互作用可预测疾病状态,准确度为68.34%(p <0.001)。这些发现证明了新型计算方法在疾病易感基因检测中的实用性。尽管每个结果看起来都很有趣,但它们仅解释了PoAF敏感性的一部分。重要的是要收集更多的候选基因和环境因素,以更好地表征PoAF的发展。应用这种方法,我们能够阐明与术后房颤的潜在关联。

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