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Flexible multivariate linear mixed models for structured multiple traits

View ORCID ProfileHyeonju Kim, View ORCID ProfileGregory Farage, View ORCID ProfileJohn T. Lovell, John K. Mckay, Thomas E. Juenger, View ORCID ProfileŚaunak Sen
doi: https://doi.org/10.1101/2020.03.27.012690
Hyeonju Kim
1Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
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Gregory Farage
1Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
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John T. Lovell
2Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
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John K. Mckay
3Department of Bioagricultural Sciences and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA
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Thomas E. Juenger
4Department of Integrative Biology, University of Texas, Austin, Texas, USA
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Śaunak Sen
1Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
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  • For correspondence: sen@uthsc.edu
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Abstract

Many genetic studies collect structured multivariate traits containing rich information across traits. We present a flexible multivariate linear mixed model for quantitative trait loci mapping (FlxQTL) for multiple correlated traits that adjusts for genetic relatedness and that models information on multiple environments or multiple timepoints using trait covariates. FlxQTL handles genetic mapping of multivariate traits faster with greater flexibility compared to previous implementations.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • update abstract and update main context

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 22, 2021.
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Flexible multivariate linear mixed models for structured multiple traits
Hyeonju Kim, Gregory Farage, John T. Lovell, John K. Mckay, Thomas E. Juenger, Śaunak Sen
bioRxiv 2020.03.27.012690; doi: https://doi.org/10.1101/2020.03.27.012690
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Flexible multivariate linear mixed models for structured multiple traits
Hyeonju Kim, Gregory Farage, John T. Lovell, John K. Mckay, Thomas E. Juenger, Śaunak Sen
bioRxiv 2020.03.27.012690; doi: https://doi.org/10.1101/2020.03.27.012690

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