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

Zhong Wang^{a, b
, ,},
Nating Wang^a,
Rongling Wu^{c, d},
Zuoheng Wang^{e
, ,}

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

More Information

Corresponding author: E-mail address: zhongwang@bjfu.edu.cn (Zhong Wang); E-mail address: zuoheng.wang@yale.edu (Zuoheng Wang)

摘要

HTML全文

参考文献(20)

[1]	Altshuler, D., Daly, M.J., Lander, E.S. Genetic mapping in human disease Science, 322 (2008),pp. 881-888
[2]	Das, K., Li, J., Wang, Z. et al. A dynamic model for genome-wide association studies Hum. Genet., 129 (2011),pp. 629-639
[3]	Fan, R., Albert, P.S., Schisterman, E.F. A discussion of gene-gene and gene-environment interactions and longitudinal genetic analysis of complex traits Stat. Med., 31 (2012),pp. 2565-2568
[4]	Furlotte, N.A., Eskin, E., Eyheramendy, S. Genome-wide association mapping with longitudinal data Genet. Epidemiol., 36 (2012),pp. 463-471
[5]	Hirschhorn, J.N., Daly, M.J. Genome-wide association studies for common diseases and complex traits Nat. Rev. Genet., 6 (2005),pp. 95-108
[6]	Jaffrezic, F., Thompson, R., Hill, W.G. Structured antedependence models for genetic analysis of repeated measures on multiple quantitative traits Genet. Res., 82 (2003),pp. 55-65
[7]	Li, J., Wang, Z., Li, R. et al. Bayesian group LASSO for nonparametric varying-coefficient models with application to functional genome-wide association studies Ann. Appl. Stat., 9 (2015),pp. 640-664
[8]	Londono, D., Chen, K.M., Musolf, A. et al. A novel method for analyzing genetic association with longitudinal phenotypes Stat. Appl. Genet. Mol. Biol., 12 (2013),pp. 241-261
[9]	Luo, J., Berg, A., Ahn, K. et al.
[10]	Meirelles, O.D., Ding, J., Tanaka, T. et al. SHAVE: shrinkage estimator measured for multiple visits increases power in GWAS of quantitative traits Eur. J. Hum. Genet., 21 (2013),pp. 673-679
[11]	Ning, C., Kang, H., Zhou, L. et al. Performance gains in genome-wide association studies for longitudinal traits via modeling time-varied effects Sci. Rep., 7 (2017),p. 590
[12]	Risch, N., Merikangas, K. The future of genetic studies of complex human diseases Science, 273 (1996),pp. 1516-1517
[13]	Sikorska, K., Rivadeneira, F., Groenen, P.J. et al. Fast linear mixed model computations for genome-wide association studies with longitudinal data Stat. Med., 32 (2013),pp. 165-180
[14]	Splansky, G.L., Corey, D., Yang, Q. et al. The third generation cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination Am. J. Epidemiol., 165 (2007),pp. 1328-1335
[15]	Suriben, R., Kaihara, K.A., Paolino, M. et al. β-Cell insulin secretion requires the ubiquitin ligase COP1 Cell, 163 (2015),pp. 1457-1467
[16]	Wang, Y., Huang, C., Fang, Y. et al. Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing J. R. Stat. Soc. Ser. C Appl. Stat., 61 (2012),pp. 1-24
[17]	Wang, Z., Pang, X., Wu, W. et al. Modeling phenotypic plasticity in growth trajectories: a statistical framework Evolution, 68 (2014),pp. 81-91
[18]	Wang, Z., Xu, K., Zhang, X. et al. Longitudinal SNP-set association analysis of quantitative phenotypes Genet. Epidemiol., 41 (2017),pp. 81-93
[19]	Welter, D., MacArthur, J., Morales, J. et al. The NHGRI GWAS catalog, a curated resource of SNP-trait associations Nucleic Acids Res., 42 (2014),pp. D1001-D1006
[20]	Wu, R., Lin, M. Functional mapping - how to map and study the genetic architecture of dynamic complex traits Nat. Rev. Genet., 7 (2006),pp. 229-237

施引文献

资源附件(0)

访问统计

点击查看大图

计量

文章访问数: 192
HTML全文浏览量: 72
PDF下载量: 6
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

doi: 10.1016/j.jgg.2018.06.006

计量

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

Corresponding author: E-mail address: zhongwang@bjfu.edu.cn (Zhong Wang); E-mail address: zuoheng.wang@yale.edu (Zuoheng Wang)

计量

目录

留言板

doi: 10.1016/j.jgg.2018.06.006

计量

出版历程

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

Corresponding author: E-mail address: zhongwang@bjfu.edu.cn (Zhong Wang); E-mail address: zuoheng.wang@yale.edu (Zuoheng Wang)

计量

出版历程

目录