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

作     者：Zhong Wang Nating Wang Rongling Wu Zuoheng Wang 

作者机构：College of Biological Sciences and TechnologyBeijing Forestry University Baker Institute for Animal HealthCollege of Veterinary MedicineCornell University Center for Computational BiologyBeijing Forestry University Center for Statistical GeneticsDepartment of Public Health SciencesPennsylvania State College of Medicine Department of BiostatisticsYale School of Public Health 

出 版 物：《Journal of Genetics and Genomics》 (遗传学报（英文版）)

年 卷 期：2018年第45卷第7期

页      面：411-413页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 09[农学] 

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 

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

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; Hirschhom and Daly, 2005; Altshuler et al., 2008）. Together with advanced high-throughput technologies for genotyping and sequencing, GWAS have discovered thousands of susceptibility loci for various traits （Welter et al., 2014）.