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Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases

机译:广泛的关联研究,探讨免疫系统相关遗传基因座与复杂性状和疾病之间的关系

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摘要

We performed a Phenome-Wide Association Study (PheWAS) to identify interrelationships between the immune system genetic architecture and a wide array of phenotypes from two de-identified electronic health record (EHR) biorepositories. We selected variants within genes encoding critical factors in the immune system and variants with known associations with autoimmunity. To define case/control status for EHR diagnoses, we used International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes from 3,024 Geisinger Clinic MyCode® subjects (470 diagnoses) and 2,899 Vanderbilt University Medical Center BioVU biorepository subjects (380 diagnoses). A pooled-analysis was also carried out for the replicating results of the two data sets. We identified new associations with potential biological relevance including SNPs in tumor necrosis factor (TNF) and ankyrin-related genes associated with acute and chronic sinusitis and acute respiratory tract infection. The two most significant associations identified were for the C6orf10 SNP rs6910071 and “rheumatoid arthritis” (ICD-9 code category 714) (pMETAL = 2.58 x 10−9) and the ATN1 SNP rs2239167 and “diabetes mellitus, type 2” (ICD-9 code category 250) (pMETAL = 6.39 x 10−9). This study highlights the utility of using PheWAS in conjunction with EHRs to discover new genotypic-phenotypic associations for immune-system related genetic loci.
机译:我们进行了一项“现象广泛关联研究”(PheWAS),以从两个身份不明的电子健康记录(EHR)生物存储库中识别出免疫系统遗传结构与多种表型之间的相互关系。我们在编码免疫系统关键因子的基因内选择了变异体,以及与自身免疫性已知关联的变异体。为了定义EHR诊断的病例/对照状态,我们使用了国际疾病分类,第9次修订(ICD-9)诊断代码,来自3,024名Geisinger诊所MyCode ®受试者(470名诊断)和2,899名范德比尔特大学医学中心BioVU生物存储库主题(380个诊断)。还对两个数据集的复制结果进行了汇总分析。我们确定了潜在的生物学相关性的新关联,包括肿瘤坏死因子(TNF)中的SNP和与急,慢性鼻窦炎和急性呼吸道感染相关的锚蛋白相关基因。确定的两个最重要的关联是C6orf10 SNP rs6910071和“类风湿关节炎”(ICD-9代码类别714)(pMETAL = 2.58 x 10 −9 )和ATN1 SNP rs2239167和“糖尿病” ,类型2”(ICD-9代码类别250)(pMETAL = 6.39 x 10 −9 )。这项研究强调了结合使用PheWAS和EHR来发现与免疫系统相关的基因位点的新的基因型-表型关联的实用性。

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