Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

被引：0

作者：

Joshua C Denny

Lisa Bastarache

Marylyn D Ritchie

Robert J Carroll

Raquel Zink

Jonathan D Mosley

Julie R Field

Jill M Pulley

Andrea H Ramirez

Erica Bowton

Melissa A Basford

David S Carrell

Peggy L Peissig

Abel N Kho

Jennifer A Pacheco

Luke V Rasmussen

David R Crosslin

Paul K Crane

Jyotishman Pathak

Suzette J Bielinski

Sarah A Pendergrass

Hua Xu

Lucia A Hindorff

Rongling Li

Teri A Manolio

Christopher G Chute

Rex L Chisholm

Eric B Larson

Gail P Jarvik

Murray H Brilliant

Catherine A McCarty

Iftikhar J Kullo

Jonathan L Haines

Dana C Crawford

Daniel R Masys

Dan M Roden

机构：

[1] Vanderbilt University School of Medicine,Department of Medicine

[2] Vanderbilt University School of Medicine,Department of Biomedical Informatics

[3] Center for Systems Genomics,Department of Biochemistry and Molecular Biology

[4] The Pennsylvania State University,Department of Medical Administration

[5] University Park,Department of Medicine

[6] Office of Research,Department of Preventative Medicine

[7] Vanderbilt University School of Medicine,Department of Genome Sciences

[8] Vanderbilt University School of Medicine,Department of Medicine

[9] Group Health Research Institute,Divisions of Biomedical Informatics and Statistics

[10] Biomedical Informatics Research Center,Division of Epidemiology

[11] Marshfield Clinic Research Foundation,Division of Genomic Medicine

[12] Feinberg School of Medicine,Department of Cell and Molecular Biology

[13] Northwestern University,Division of Cardiovascular Diseases

[14] Center for Genetic Medicine,Department of Molecular Physiology and Biophysics

[15] Feinberg School of Medicine,Department of Biomedical Informatics and Medical Education

[16] Northwestern University,Department of Pharmacology

[17] Feinberg School of Medicine,undefined

[18] Northwestern University,undefined

[19] University of Washington,undefined

[20] University of Washington,undefined

[21] Mayo Clinic,undefined

[22] Mayo Clinic,undefined

[23] School of Biomedical Informatics,undefined

[24] The University of Texas Health Science Center at Houston,undefined

[25] National Human Genome Research Institute,undefined

[26] Feinberg School of Medicine,undefined

[27] Northwestern University,undefined

[28] Center for Human Genetics,undefined

[29] Marshfield Clinic Research Foundation,undefined

[30] Essentia Institute for Rural Health,undefined

[31] Mayo Clinic,undefined

[32] Center for Human Genetics Research,undefined

[33] Vanderbilt University School of Medicine,undefined

[34] University of Washington,undefined

[35] Vanderbilt University School of Medicine,undefined

来源：

Nature Biotechnology | 2013年 / 31卷

关键词：

D O I：

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中图分类号：

学科分类号：

摘要：

When applied in large scale to electronic medical record data, the PheWAS approach replicates GWAS associations and reveals potentially new pleiotropic associations.

引用

页码：1102 / 1111

页数：9

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