fGWAS: An R package for genome-wide association analysis with longitudinal phenotypes

Zhong Wang; Nating Wang; Rongling Wu; Zuoheng Wang

doi:10.1016/j.jgg.2018.06.006

Volume 45 Issue 7

Jul. 2018

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Article Navigation > Journal of Genetics and Genomics > 2018 > 45(7): 411-413

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fGWAS: An R package for genome-wide association analysis with longitudinal phenotypes

doi: 10.1016/j.jgg.2018.06.006

a
College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
b
Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14850, USA
c
Center for Computational Biology, Beijing Forestry University, Beijing 100083, China
d
Center for Statistical Genetics, Department of Public Health Sciences, Pennsylvania State College of Medicine, Hershey, PA 17033, USA
e
Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA

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Corresponding author: E-mail address: zhongwang@bjfu.edu.cn (Zhong Wang); E-mail address: zuoheng.wang@yale.edu (Zuoheng Wang)
Received Date: 2018-01-10
Accepted Date: 2018-06-27
Rev Recd Date: 2018-06-18

Available Online: 2018-07-10

Publish Date: 2018-07-20

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References(20)

References

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