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lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals

Andrey Ziyatdinov, Miquel Vázquez-Santiago, Helena Brunel, Angel Martinez-Perez, Hugues Aschard, Jose Manuel Soria
doi: https://doi.org/10.1101/139816
Andrey Ziyatdinov
1Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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  • For correspondence: ziyatdinov@hsph.harvard.edu
Miquel Vázquez-Santiago
2Unitat de Genòmica de Malalties Complexes, Institut d’Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
3Unitat d’Hemostàsia i Trombosi, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
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Helena Brunel
2Unitat de Genòmica de Malalties Complexes, Institut d’Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
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Angel Martinez-Perez
2Unitat de Genòmica de Malalties Complexes, Institut d’Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
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Hugues Aschard
1Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
4Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France
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Jose Manuel Soria
2Unitat de Genòmica de Malalties Complexes, Institut d’Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
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Posted August 31, 2017.
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lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals
Andrey Ziyatdinov, Miquel Vázquez-Santiago, Helena Brunel, Angel Martinez-Perez, Hugues Aschard, Jose Manuel Soria
bioRxiv 139816; doi: https://doi.org/10.1101/139816
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lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals
Andrey Ziyatdinov, Miquel Vázquez-Santiago, Helena Brunel, Angel Martinez-Perez, Hugues Aschard, Jose Manuel Soria
bioRxiv 139816; doi: https://doi.org/10.1101/139816

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