Insights From Genome-Wide Association Studies (GWAS)

The Neurobiology of Schizophrenia ◽

10.1016/b978-0-12-801829-3.00011-2 ◽

2016 ◽

pp. 39-50 ◽

Author(s):

S. Cichon ◽

S. Ripke

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

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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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Faculty Opinions recommendation of Meta-Analysis of Genome-Wide Association Studies and Network Analysis-Based Integration with Gene Expression Data Identify New Suggestive Loci and Unravel a Wnt-Centric Network Associated with Dupuytren's Disease.

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

10.3410/f.726582766.793522025 ◽

2016 ◽

Author(s):

Rik Lories

Keyword(s):

Gene Expression ◽

Network Analysis ◽

Gene Expression Data ◽

Association Studies ◽

Meta Analysis ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Expression Data ◽

Dupuytren's Disease ◽

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Faculty Opinions recommendation of Genome-wide association studies of cancer: current insights and future perspectives.

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

10.3410/f.731989016.793545203 ◽

2018 ◽

Author(s):

Sharon Savage

Keyword(s):

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Future Perspectives ◽

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Faculty Opinions recommendation of Genome-wide association studies identify genetic loci for low von Willebrand factor levels.

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

10.3410/f.732458158.793541621 ◽

2018 ◽

Author(s):

Karl C Desch

Keyword(s):

Von Willebrand Factor ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genetic Loci ◽

Genome Wide ◽

Von Willebrand ◽

Willebrand Factor

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Faculty Opinions recommendation of Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits.

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

10.3410/f.733803377.793550136 ◽

2018 ◽

Author(s):

Mohan Liu

Keyword(s):

Effect Size ◽

Complex Traits ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Size Distributions ◽

Complex Effect ◽

Genome Wide ◽

Level Statistics

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