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SNP characteristics and validation success in genome wide association studies
Human Genetics
◽
10.1007/s00439-021-02407-8
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2022
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Author(s):
Olga Y. Gorlova
◽
Xiangjun Xiao
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Spiridon Tsavachidis
◽
Christopher I. Amos
◽
Ivan P. Gorlov
Keyword(s):
Association Studies
◽
Genome Wide Association
◽
Genome Wide Association Studies
◽
Genome Wide
Download Full-text
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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
◽
Genome Wide
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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
◽
Genome Wide
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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
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2012
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Author(s):
Gregory Hawkins
◽
Rebecca Slager
Keyword(s):
Association Studies
◽
Airflow Obstruction
◽
Genome Wide Association
◽
Genome Wide Association Studies
◽
Genome Wide
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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
◽
Low Coverage
Download Full-text
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
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Author(s):
Anke Hinney
◽
Anna-Lena Volckmar
Keyword(s):
Metabolic Syndrome
◽
Association Studies
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Genome Wide Association
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Genome Wide Association Studies
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Genome Wide
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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
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Author(s):
Rik Lories
Keyword(s):
Gene Expression
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Network Analysis
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Gene Expression Data
◽
Association Studies
◽
Meta Analysis
◽
Genome Wide Association
◽
Genome Wide Association Studies
◽
Expression Data
◽
Dupuytren's Disease
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Genome Wide
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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
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10.3410/f.731989016.793545203
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2018
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Author(s):
Sharon Savage
Keyword(s):
Association Studies
◽
Genome Wide Association
◽
Genome Wide Association Studies
◽
Future Perspectives
◽
Genome Wide
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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
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2018
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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
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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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