a network-based approach to prioritize results from genome-wide association studies基于网络的方法优先考虑从全基因组关联研究结果.pdfVIP
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a network-based approach to prioritize results from genome-wide association studies基于网络的方法优先考虑从全基因组关联研究结果
A Network-Based Approach to Prioritize Results from
Genome-Wide Association Studies
1 2,3 2 2 4 4
Nirmala Akula *, Ancha Baranova , Donald Seto , Jeffrey Solka , Michael A. Nalls , Andrew Singleton ,
5 5 6 7 7
Luigi Ferrucci , Toshiko Tanaka , Stefania Bandinelli , Yoon Shin Cho , Young Jin Kim , Jong-Young
7 7
Lee , Bok-Ghee Han , Bipolar Disorder Genome Study (BiGS) Consortium , The Wellcome Trust Case-
Control Consortium, Francis J. McMahon1
1 Mood and Anxiety Section, Human Genetics Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services,
Bethesda, Maryland, United States of America, 2 School of Systems Biology, College of Science, George Mason University, Fairfax, Virginia, United States of America,
3 Research Center for Medical Genetics, RAMS, Moscow, Russian Federation, 4 Molecular Genetics Section, Laboratory of Neurogenetics, Intramural Research Program,
National Institute on Aging, Bethesda, Maryland, United States of America, 5 Longitudinal Studies Section, Clinical Research Branch, Intramural Research Program, National
Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America, 6 Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy, 7 Center for
Genome Science, National Institute of Health, Seoul, Korea
Abstract
Genome-wide association studies (GWAS) are a valuable approach to understanding the genetic basis of
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