Wood G Craig, Still Christopher D, Chu Xin, Susek Meghan, Erdman Robert, Hartman Christina, Yeager Stephanie, Blosky Mary Ann, Krum Wanda, Carey David J, Skelding Kimberly A, Benotti Peter, Stewart Walter F, Gerhard Glenn S
Weis Center for Research, Geisinger Clinic, Danville, PA, 17822, USA.
Genomic Med. 2008 Jan;2(1-2):33-43. doi: 10.1007/s11568-008-9023-z. Epub 2008 Jul 26.
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.
基因组医学研究需要大量时间和资源来获取表型数据。电子健康记录在应对这些时间和经济挑战方面具有潜在的效率提升,但很少有研究探讨使用此类数据进行遗传学研究的可行性。本研究的主要目的是确定位于9号染色体p21上的两个与冠心病和2型糖尿病易感性相关的基因变异,与一组病态肥胖患者电子健康记录中各种临床表型之间的关联。从总共709名病态肥胖(体重指数(BMI)≥40 kg/m²)患者的电子健康记录中提取了100多项临床指标的数据,包括诊断、实验室值和用药情况。对位于9号染色体p21上最近与冠心病和2型糖尿病相关的两个常见单核苷酸多态性进行基因分型,以评估与临床表型的统计学关联。尽管2型糖尿病变异型和冠心病变异型均与任何预期的临床表型无关,但高危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基因关联验证研究的有效数据来源。