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fGWAS:An R package for genome-wide association analysis with longitudinal phenotypes 被引量:2

fGWAS:An R package for genome-wide association analysis with longitudinal phenotypes
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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). 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).
出处 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2018年第7期411-413,共3页 遗传学报(英文版)
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
关键词 fGWAS An R package for genome-wide association analysis longitudinal phenotypes fGWAS An R package for genome-wide association analysis longitudinal phenotypes
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