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fGWAS:An R package for genome-wide association analysis with longitudinal phenotypes 被引量:2
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作者 Zhong wang nating wang +1 位作者 Rongling Wu Zuoheng wang 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2018年第7期411-413,共3页
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 Da... 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). 展开更多
关键词 fGWAS An R package for genome-wide association analysis longitudinal phenotypes
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