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Meta-GWAS Accuracy and Power (MetaGAP) calculator shows that hiding heritability is partially due to imperfect genetic correlations across studies
Ronald de Vlaming, Aysu Okbay, Cornelius A. Rietveld, Magnus Johannesson, Patrik K.E. Magnusson, André G. Uitterlinden, Frank J.A. van Rooij, Albert Hofman, Patrick J.F. Groenen, A. Roy Thurik, Philipp D. Koellinger
doi: https://doi.org/10.1101/048322
Ronald de Vlaming
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
2Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands.
Aysu Okbay
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
2Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands.
Cornelius A. Rietveld
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
2Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands.
Magnus Johannesson
3Department of Economics, Stockholm School of Economics, Stockholm, Sweden.
Patrik K.E. Magnusson
4Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
André G. Uitterlinden
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
5Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
Frank J.A. van Rooij
5Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
Albert Hofman
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
5Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
6Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, the United States of America.
Patrick J.F. Groenen
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
7Econometric Institute, Erasmus School of Economics, Rotterdam, the Netherlands.
A. Roy Thurik
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
2Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands.
8Montpellier Business School, Montpellier, France.
Philipp D. Koellinger
1Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Rotterdam, the Netherlands.
2Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands.
9Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands.
Article usage
Posted April 13, 2016.
Meta-GWAS Accuracy and Power (MetaGAP) calculator shows that hiding heritability is partially due to imperfect genetic correlations across studies
Ronald de Vlaming, Aysu Okbay, Cornelius A. Rietveld, Magnus Johannesson, Patrik K.E. Magnusson, André G. Uitterlinden, Frank J.A. van Rooij, Albert Hofman, Patrick J.F. Groenen, A. Roy Thurik, Philipp D. Koellinger
bioRxiv 048322; doi: https://doi.org/10.1101/048322
Meta-GWAS Accuracy and Power (MetaGAP) calculator shows that hiding heritability is partially due to imperfect genetic correlations across studies
Ronald de Vlaming, Aysu Okbay, Cornelius A. Rietveld, Magnus Johannesson, Patrik K.E. Magnusson, André G. Uitterlinden, Frank J.A. van Rooij, Albert Hofman, Patrick J.F. Groenen, A. Roy Thurik, Philipp D. Koellinger
bioRxiv 048322; doi: https://doi.org/10.1101/048322
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