Searching joint association signals in CATIE schizophrenia genome-wide association studies through a refined integrative network approach

BMC Genomics ◽

10.1186/1471-2164-13-s6-s15 ◽

2012 ◽

Vol 13 (Suppl 6) ◽

pp. S15 ◽

Author(s):

Peilin Jia ◽

Zhongming Zhao

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Network Approach ◽

Genome Wide ◽

Integrative Network

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Novel Neural Network Approach to Predict Drug-Target Interactions Based on Drug Side Effects and Genome-Wide Association Studies

Human Heredity ◽

10.1159/000492574 ◽

2018 ◽

Vol 83 (2) ◽

pp. 79-91

Author(s):

Jeanette Prinz ◽

Mohamad Koohi-Moghadam ◽

Hongzhe Sun ◽

Jean-Pierre A. Kocher ◽

Junwen Wang

Keyword(s):

Neural Network ◽

Side Effects ◽

Drug Target ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Drug Side Effects ◽

Network Approach ◽

Neural Network Approach ◽

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A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies

BMC Bioinformatics ◽

10.1186/1471-2105-12-16 ◽

2011 ◽

Vol 12 (1) ◽

Author(s):

Raphaël Mourad ◽

Christine Sinoquet ◽

Philippe Leray

Keyword(s):

Linkage Disequilibrium ◽

Dimensionality Reduction ◽

Bayesian Network ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Hierarchical Bayesian ◽

Network Approach ◽

Genome Wide ◽

Data Dimensionality Reduction

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A network approach to prioritizing susceptibility genes for genome‐wide association studies

Genetic Epidemiology ◽

10.1002/gepi.22198 ◽

2019 ◽

Vol 43 (5) ◽

pp. 477-491 ◽

Author(s):

Somayeh Kafaie ◽

Yuanzhu Chen ◽

Ting Hu

Keyword(s):

Association Studies ◽

Susceptibility Genes ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Network Approach ◽

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iPINBPA: AN INTEGRATIVE NETWORK-BASED FUNCTIONAL MODULE DISCOVERY TOOL FOR GENOME-WIDE ASSOCIATION STUDIES

Biocomputing 2015 ◽

10.1142/9789814644730_0025 ◽

2014 ◽

Author(s):

LILI WANG ◽

PARVIN MOUSAVI ◽

SERGIO E. BARANZINI

Keyword(s):

Association Studies ◽

Functional Module ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

Module Discovery ◽

Integrative Network

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Faculty Opinions recommendation of Evaluating coverage of genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1043112.493030 ◽

2006 ◽

Author(s):

Pui-Yan Kwok

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Faculty Opinions recommendation of Optimal designs for two-stage genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1087330.540352 ◽

2007 ◽

Author(s):

Jurg Ott

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Optimal Designs ◽

Genome Wide Association Studies ◽

Two Stage ◽

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Faculty Opinions recommendation of Powerful SNP-set analysis for case-control genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.4390968.4221068 ◽

2010 ◽

Author(s):

Daniel Weeks

Keyword(s):

Association Studies ◽

Case Control ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Faculty Opinions recommendation of Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717953700.793460100 ◽

2012 ◽

Author(s):

Gregory Hawkins ◽

Rebecca Slager

Keyword(s):

Association Studies ◽

Airflow Obstruction ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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Faculty Opinions recommendation of Extremely low-coverage sequencing and imputation increases power for genome-wide association studies.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717960893.793463835 ◽

2012 ◽

Author(s):

Nicola Mulder

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

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Faculty Opinions recommendation of Genome-wide association studies of obesity and metabolic syndrome.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718250061.793491050 ◽

2014 ◽

Author(s):

Anke Hinney ◽

Anna-Lena Volckmar

Keyword(s):

Metabolic Syndrome ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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