利用电子健康记录数据分析染色体9p21 snp与病态肥胖症心血管表型的关联

IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH Genomic medicine Pub Date : 2008-01-01 Epub Date: 2008-07-26 DOI:10.1007/s11568-008-9023-z
G Craig Wood, Christopher D Still, Xin Chu, Meghan Susek, Robert Erdman, Christina Hartman, Stephanie Yeager, Mary Ann Blosky, Wanda Krum, David J Carey, Kimberly A Skelding, Peter Benotti, Walter F Stewart, Glenn S Gerhard
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引用次数: 23

摘要

基因组医学研究需要大量的时间和资源来获得表型数据。电子健康记录为解决这些时间和经济挑战提供了潜在的效率,但很少有研究探索将此类数据用于遗传学研究的可行性。本研究的主要目的是确定位于染色体9p21上的两个遗传变异与冠心病和2型糖尿病易感性之间的关系,这些变异来自于病态肥胖患者群体的电子健康记录。从709例病态肥胖(身体质量指数(BMI) >/= 40 kg/m(2))患者的电子健康记录中提取100多项临床指标的数据,包括诊断、实验室值和药物。位于9p21染色体上的两个常见单核苷酸多态性最近与冠心病和2型糖尿病有关(McPherson等)。科学通报,2007;Saxena等人。科学通报,2007;斯科特等人。Science 316:1341-1345, 2007)进行基因分型,以评估与临床表型的统计学关联。2型糖尿病变异和冠心病变异都与任何预期的临床表型无关,尽管高风险的2型糖尿病/冠心病复合基因型与几种冠心病表型相关。电子健康记录可能是遗传关联验证研究的有效数据来源。
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Association of chromosome 9p21 SNPs with cardiovascular phenotypes in morbid obesity using electronic health record data.

Genomic medicine research requires substantial time and resources to obtain phenotype data. The electronic health record offers potential efficiencies in addressing these temporal and economic challenges, but few studies have explored the feasibility of using such data for genetics research. The main objective of this study was to determine the association of two genetic variants located on chromosome 9p21 conferring susceptibility to coronary heart disease and type 2 diabetes with a variety of clinical phenotypes derived from the electronic health record in a population of morbidly obese patients. Data on more than 100 clinical measures including diagnoses, laboratory values, and medications were extracted from the electronic health records of a total of 709 morbidly obese (body mass index (BMI) >/= 40 kg/m(2)) patients. Two common single nucleotide polymorphisms located at chromosome 9p21 recently linked to coronary heart disease and type 2 diabetes (McPherson et al. Science 316:1488-1491, 2007; Saxena et al. Science 316:1331-1336, 2007; Scott et al. Science 316:1341-1345, 2007) were genotyped to assess statistical association with clinical phenotypes. Neither the type 2 diabetes variant nor the coronary heart disease variant was related to any expected clinical phenotype, although high-risk type 2 diabetes/coronary heart disease compound genotypes were associated with several coronary heart disease phenotypes. Electronic health records may be efficient sources of data for validation studies of genetic associations.

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