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network-assisted investigation of combined causal signals from genome-wide association studies in schizophrenianetwork-assisted调查结合因果信号从全基因组关联研究精神分裂症.pdf

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network-assisted investigation of combined causal signals from genome-wide association studies in schizophrenianetwork-assisted调查结合因果信号从全基因组关联研究精神分裂症

Network-Assisted Investigation of Combined Causal Signals from Genome-Wide Association Studies in Schizophrenia 1,2 3 4,5,6,7 7 8,9 Peilin Jia , Lily Wang , Ayman H. Fanous , Carlos N. Pato , Todd L. Edwards , The International Schizophrenia Consortium, Zhongming Zhao1,2,10* 1 Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 2 Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 3 Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 4 Department of Psychiatry and Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America, 5 Washington VA Medical Center, Washington, D.C., United States of America, 6 Department of Psychiatry, Georgetown University School of Medicine, Washington, D.C., United States of America, 7 Department of Psychiatry, Keck School of Medicine of the University of Southern California, Los Angeles, California, United States of America, 8 Center for Human Genetics Research, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 9 Division of Epidemiolgy, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 10 Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America Abstract With the recent success of genome-wide association studies (GWAS), a wealth of association data has been accomplished for more than 200 complex diseases/traits, proposing a strong demand