GWAS dataset with simulated binary phenotypes for 1000 Genome Project

Phenotypes in this dataset are generated by simulating quantitative blood lipid level phenotype using the method introduced in by (https://app.terra.bio/#workspaces/amp-t2d-op/2019_ASHG_Reproducible_GWAS-V2), and binarized to be suitable as a test case for GWAS methods. ALL.shapeit2_integrated_v1a.GRCh38.20181129.phased.rsid files and allpopid.txt are the 1000 Genome Project reference data used for generating MDS plot in https://github.com/csbio/BridGE-Python本数据集包含的表型（Phenotype）通过采用https://app.terra.bio/#workspaces/amp-t2d-op/2019_ASHG_Reproducible_GWAS-V2中介绍的方法模拟定量血脂水平表型生成，并经二值化处理，以适配作为全基因组关联分析（GWAS, Genome-Wide Association Study）方法的测试用例。ALL.shapeit2_integrated_v1a.GRCh38.20181129.phased.rsid 文件与 allpopid.txt 为用于生成https://github.com/csbio/BridGE-Python 中多维标度（MDS, Multidimensional Scaling）绘图的1000基因组计划（1000 Genome Project）参考数据。