Multistage analysis strategies for genome-wide association studies: summary of group 3 contributions to Genetic Analysis Workshop 16

Rosalind J. Neuman; Yun Ju Sung

doi:10.1002/gepi.20467

Multistage analysis strategies for genome-wide association studies: summary of group 3 contributions to Genetic Analysis Workshop 16

Genetic Epidemiology ◽

10.1002/gepi.20467 ◽

2009 ◽

Vol 33 (S1) ◽

pp. S19-S23 ◽

Cited By ~ 2

Author(s):

Rosalind J. Neuman ◽

Yun Ju Sung

Keyword(s):

Genetic Analysis ◽

Genetic Analysis Workshop ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

Analysis Strategies ◽

Group 3

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Lessons learned from Genetic Analysis Workshop 17: transitioning from genome-wide association studies to whole-genome statistical genetic analysis

Genetic Epidemiology ◽

10.1002/gepi.20659 ◽

2011 ◽

Vol 35 (S1) ◽

pp. S107-S114 ◽

Cited By ~ 9

Author(s):

Alexander F. Wilson ◽

Andreas Ziegler

Keyword(s):

Genetic Analysis ◽

Genetic Analysis Workshop ◽

Association Studies ◽

Lessons Learned ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Whole Genome ◽

Genome Wide

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Novel Genetic Analysis for Case-Control Genome-Wide Association Studies: Quantification of Power and Genomic Prediction Accuracy

PLoS ONE ◽

10.1371/journal.pone.0071494 ◽

2013 ◽

Vol 8 (8) ◽

pp. e71494 ◽

Cited By ~ 24

Author(s):

Sang Hong Lee ◽

Naomi R. Wray

Keyword(s):

Genetic Analysis ◽

Genomic Prediction ◽

Prediction Accuracy ◽

Association Studies ◽

Case Control ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide

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Correction: Novel Genetic Analysis for Case-Control Genome-Wide Association Studies: Quantification of Power and Genomic Prediction Accuracy

PLoS ONE ◽

10.1371/annotation/0b29c9c7-a86d-4e0f-bbb8-5c29b16e2884 ◽

2013 ◽

Vol 8 (8) ◽

Cited By ~ 1

Author(s):

Sang Hong Lee ◽

Naomi R. Wray

Keyword(s):

Genetic Analysis ◽

Genomic Prediction ◽

Prediction Accuracy ◽

Association Studies ◽

Case Control ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide

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Rare-variant genome-wide association studies: a new frontier in genetic analysis of complex traits

Pharmacogenomics ◽

10.2217/pgs.13.36 ◽

2013 ◽

Vol 14 (4) ◽

pp. 413-424 ◽

Cited By ~ 30

Author(s):

Michael J Wagner

Keyword(s):

Genetic Analysis ◽

Rare Variant ◽

Complex Traits ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide ◽

New Frontier

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Genetic analysis of potato tuber metabolite composition: Genome‐wide association studies applied to a nontargeted metabolome

Crop Science ◽

10.1002/csc2.20398 ◽

2020 ◽

Author(s):

Anna V. Levina ◽

Owen Hoekenga ◽

Mikhail Gordin ◽

Corey Broeckling ◽

Walter S. De Jong

Keyword(s):

Genetic Analysis ◽

Potato Tuber ◽

Association Studies ◽

Genome Wide Association ◽

Genome Wide Association Studies ◽

Genome Wide

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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 ◽

Genome Wide

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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 ◽

2012 ◽

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

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