Stanaway Ian B, Hall Taryn O, Rosenthal Elisabeth A, Palmer Melody, Naranbhai Vivek, Knevel Rachel, Namjou-Khales Bahram, Carroll Robert J, Kiryluk Krzysztof, Gordon Adam S, Linder Jodell, Howell Kayla Marie, Mapes Brandy M, Lin Frederick T J, Joo Yoonjung Yoonie, Hayes M Geoffrey, Gharavi Ali G, Pendergrass Sarah A, Ritchie Marylyn D, de Andrade Mariza, Croteau-Chonka Damien C, Raychaudhuri Soumya, Weiss Scott T, Lebo Matt, Amr Sami S, Carrell David, Larson Eric B, Chute Christopher G, Rasmussen-Torvik Laura Jarmila, Roy-Puckelwartz Megan J, Sleiman Patrick, Hakonarson Hakon, Li Rongling, Karlson Elizabeth W, Peterson Josh F, Kullo Iftikhar J, Chisholm Rex, Denny Joshua Charles, Jarvik Gail P, Crosslin David R
Department of Biomedical Informatics Medical Education, School of Medicine, University of Washington, Seattle, Washington.
Division of Medical Genetics, School of Medicine, University of Washington, Seattle, Washington.
Genet Epidemiol. 2019 Feb;43(1):63-81. doi: 10.1002/gepi.22167. Epub 2018 Oct 8.
The Electronic Medical Records and Genomics (eMERGE) network is a network of medical centers with electronic medical records linked to existing biorepository samples for genomic discovery and genomic medicine research. The network sought to unify the genetic results from 78 Illumina and Affymetrix genotype array batches from 12 contributing medical centers for joint association analysis of 83,717 human participants. In this report, we describe the imputation of eMERGE results and methods to create the unified imputed merged set of genome-wide variant genotype data. We imputed the data using the Michigan Imputation Server, which provides a missing single-nucleotide variant genotype imputation service using the minimac3 imputation algorithm with the Haplotype Reference Consortium genotype reference set. We describe the quality control and filtering steps used in the generation of this data set and suggest generalizable quality thresholds for imputation and phenotype association studies. To test the merged imputed genotype set, we replicated a previously reported chromosome 6 HLA-B herpes zoster (shingles) association and discovered a novel zoster-associated loci in an epigenetic binding site near the terminus of chromosome 3 (3p29).
电子病历与基因组学(eMERGE)网络是一个由医疗中心组成的网络,这些医疗中心的电子病历与现有的生物样本库样本相链接,用于基因组发现和基因组医学研究。该网络旨在整合来自12个参与医疗中心的78个Illumina和Affymetrix基因型阵列批次的基因结果,对83717名人类参与者进行联合关联分析。在本报告中,我们描述了eMERGE结果的推算以及创建全基因组变异基因型数据统一推算合并集的方法。我们使用密歇根推算服务器对数据进行推算,该服务器使用最小化填充算法和单倍型参考联盟基因型参考集,提供缺失单核苷酸变异基因型的推算服务。我们描述了生成该数据集时使用的质量控制和筛选步骤,并提出了适用于推算和表型关联研究的通用质量阈值。为了测试合并后的推算基因型集,我们重复了之前报道的6号染色体HLA - B带状疱疹关联研究,并在3号染色体末端附近的一个表观遗传结合位点(3p29)发现了一个新的带状疱疹相关基因座。