首页> 美国卫生研究院文献>Frontiers in Genetics >Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis
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Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis

机译:在与EMR相关的儿科队列中进行的全现象学关联研究(PheWAS)将PLCL1与语言发展和IL5-IL13与嗜酸性食管炎遗传相关

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摘要

>Objective: We report the first pediatric specific Phenome-Wide Association Study (PheWAS) using electronic medical records (EMRs). Given the early success of PheWAS in adult populations, we investigated the feasibility of this approach in pediatric cohorts in which associations between a previously known genetic variant and a wide range of clinical or physiological traits were evaluated. Although computationally intensive, this approach has potential to reveal disease mechanistic relationships between a variant and a network of phenotypes.>Method: Data on 5049 samples of European ancestry were obtained from the EMRs of two large academic centers in five different genotyped cohorts. Recently, these samples have undergone whole genome imputation. After standard quality controls, removing missing data and outliers based on principal components analyses (PCA), 4268 samples were used for the PheWAS study. We scanned for associations between 2476 single-nucleotide polymorphisms (SNP) with available genotyping data from previously published GWAS studies and 539 EMR-derived phenotypes. The false discovery rate was calculated and, for any new PheWAS findings, a permutation approach (with up to 1,000,000 trials) was implemented.>Results: This PheWAS found a variety of common variants (MAF > 10%) with prior GWAS associations in our pediatric cohorts including Juvenile Rheumatoid Arthritis (JRA), Asthma, Autism and Pervasive Developmental Disorder (PDD) and Type 1 Diabetes with a false discovery rate < 0.05 and power of study above 80%. In addition, several new PheWAS findings were identified including a cluster of association near the NDFIP1 gene for mental retardation (best SNP rs10057309, p = 4.33 × 10−7, OR = 1.70, 95%CI = 1.38 − 2.09); association near PLCL1 gene for developmental delays and speech disorder [best SNP rs1595825, p = 1.13 × 10−8, OR = 0.65(0.57 − 0.76)]; a cluster of associations in the IL5-IL13 region with Eosinophilic Esophagitis (EoE) [best at rs12653750, p = 3.03 × 10−9, OR = 1.73 95%CI = (1.44 − 2.07)], previously implicated in asthma, allergy, and eosinophilia; and association of variants in GCKR and JAZF1 with allergic rhinitis in our pediatric cohorts [best SNP rs780093, p = 2.18 × 10−5, OR = 1.39, 95%CI = (1.19 − 1.61)], previously demonstrated in metabolic disease and diabetes in adults.>Conclusion: The PheWAS approach with re-mapping ICD-9 structured codes for our European-origin pediatric cohorts, as with the previous adult studies, finds many previously reported associations as well as presents the discovery of associations with potentially important clinical implications.
机译:>目标:我们报告了首例使用电子病历(EMR)进行的儿科特定的现象广泛关联研究(PheWAS)。鉴于PheWAS在成人人群中的早期成功,我们研究了该方法在儿科队列中的可行性,在该队列中评估了先前已知的遗传变异与广泛的临床或生理特征之间的关联。尽管计算量很大,但这种方法仍有潜力揭示变体和表型网络之间的疾病机理关系。>方法:欧洲血统的5049个样本的数据来自五个大型学术中心的两个EMR不同的基因型队列。最近,这些样品已经进行了全基因组估算。在进行标准质量控制后,根据主成分分析(PCA)删除了丢失的数据和异常值,将4268个样本用于PheWAS研究。我们扫描了2476个单核苷酸多态性(SNP)与先前发表的GWAS研究中的可用基因分型数据和539个EMR衍生表型之间的关联。计算错误发现率,并针对任何新的PheWAS发现,采用置换方法(最多进行100万次试验)。>结果:此PheWAS发现了多种常见变体(MAF> 10%)在我们的儿科队列中与先前的GWAS协会相关,包括青少年类风湿性关节炎(JRA),哮喘,自闭症和普遍性发育障碍(PDD)和1型糖尿病,其虚假发现率<0.05,学习能力超过80%。此外,还发现了一些新的PheWAS发现,包括NDFIP1基因附近的智力障碍相关联簇(最佳SNP rs10057309,p = 4.33×10 -7 ,OR = 1.70,95%CI = 1.38 − 2.09);发育迟缓和言语障碍与PLCL1基因附近的关联[最佳SNP rs1595825,p = 1.13×10 -8 ,OR = 0.65(0.57-0.76)]; IL5-IL13区与嗜酸性食管炎(EoE)相关联的簇[最好在rs12653750,p = 3.03×10 -9 ,OR = 1.73 95%CI =(1.44-2.07)],以前与哮喘,过敏和嗜酸性粒细胞有关;儿科人群中GCKR和JAZF1变异与变应性鼻炎的关系[最佳SNP rs780093,p = 2.18×10 -5 ,OR = 1.39,95%CI =(1.19 − 1.61)], >结论:与以前的成人研究一样,PheWAS方法与针对欧洲血统的儿科人群的ICD-9结构化编码重新映射,发现许多先前已报道关联以及提出具有潜在重要临床意义的关联的发现。

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