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A quantile integral linear model to quantify genetic effects on phenotypic variability
Jiacheng Miao, Yupei Lin, Yuchang Wu, Boyan Zheng, Lauren L. Schmitz, Jason M. Fletcher, View ORCID ProfileQiongshi Lu
doi: https://doi.org/10.1101/2021.04.14.439847
Jiacheng Miao
1Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, WI, USA 53706
Yupei Lin
2Baylor College of Medicine, Houston, TX, USA 77030
Yuchang Wu
1Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, WI, USA 53706
Boyan Zheng
3Department of Sociology, University of Wisconsin–Madison, Madison, WI, USA 53706
Lauren L. Schmitz
4Robert M. La Follette School of Public Affairs, University of Wisconsin–Madison, Madison, WI, USA 53706
5Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI, USA 53706
Jason M. Fletcher
3Department of Sociology, University of Wisconsin–Madison, Madison, WI, USA 53706
4Robert M. La Follette School of Public Affairs, University of Wisconsin–Madison, Madison, WI, USA 53706
5Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI, USA 53706
Qiongshi Lu
1Department of Biostatistics and Medical Informatics, University of Wisconsin–Madison, WI, USA 53706
5Center for Demography of Health and Aging, University of Wisconsin–Madison, Madison, WI, USA 53706
6Department of Statistics, University of Wisconsin–Madison, Madison, WI, USA 53706

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Posted April 14, 2021.
A quantile integral linear model to quantify genetic effects on phenotypic variability
Jiacheng Miao, Yupei Lin, Yuchang Wu, Boyan Zheng, Lauren L. Schmitz, Jason M. Fletcher, Qiongshi Lu
bioRxiv 2021.04.14.439847; doi: https://doi.org/10.1101/2021.04.14.439847
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