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

查看全文 作　　者：Zhong [1,2]Wang;Nating [1]Wang;Rongling [3,4]Wu;Zuoheng [5]Wang

机构地区：[1]College of Biological Sciences and Technology,Beijing Forestry University;[2]Baker Institute for Animal Health,College of Veterinary Medicine,Cornell University;[3]Center for Computational Biology,Beijing Forestry University;[4]Center for Statistical Genetics,Department of Public Health Sciences,Pennsylvania State College of Medicine;[5]Department of Biostatistics,Yale School of Public Health

出　　处：《Journal of Genetics and Genomics》索引2018年第45卷第7期,共3页

基　　金：supported by the Fundamental Research Funds for the Central Universities (BLX2013026);the National Natural Science Foundation of China (No. 31470675);the National Institutes of Health (K01AA023321);supported by the National Heart, Lung, and Blood Institute in collaboration with Boston University (Contract No. N01-HC-25195);Funding for SHARe Affymetrix genotyping was provided by NHLBI Contract N02-HL-64278 摘　　要：The past two decades have witnessed a revolution in identifying genetic risk factors underlying diseases and complex traits using genome-wide association studies(GWAS)(Risch and Merikangas,1996;Hirschhorn and Daly,2005;Altshuler et al.,2008).Together with advanced high-throughput technologies for genotyping 关键词：fGWAS:An R package for genome-wide association analysis with longitudinal phenotypes BMI

相关文献

参考文献（20）
引证文献（2）
耦合文献（0）

参考文献(20)

引证文献(2)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

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

参考文献(20)

引证文献(2)

用户提示