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机译:通过GWAS汇总统计估算注释分层遗传协方差的强大方法
Department of Biostatistics Yale School of Public Health New Haven CT 06510 USA;
Department of Biostatistics Yale School of Public Health New Haven CT 06510 USA;
Yale School of Medicine New Haven CT 06510 USA;
Yale School of Medicine New Haven CT 06510 USA;
Program of Computational Biology and Bioinformatics Yale University New Haven CT 06510 USA;
Yale College New Haven CT 06520 USA;
Department of Biostatistics Yale School of Public Health New Haven CT 06510 USA;
Program of Computational Biology and Bioinformatics Yale University New Haven CT 06510 USA;
Yale College New Haven CT 06520 USA;
Department of Biostatistics Yale School of Public Health New Haven CT 06510 USA;
Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240;
Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240;
Division of General Internal Medicine Department of Medicine University of Washington Seattle;
Division of General Internal Medicine Department of Medicine University of Washington Seattle;
Department of Biostatistics Yale School of Public Health New Haven CT 06510 USA;
genome-wide association study; genetic covariance; functional annotation; summary statistics; Alzheimer’s disease; amyotrophic lateral sclerosis;
机译:通过GWAS汇总统计估算注释分层遗传协方差的强大方法
机译:从GWAS摘要统计估算效应量和预期的复制概率
机译:一种快速方法,用于在实际情况下估算多元GWA的统计力:来自成像遗传学领域的实例
机译:基于摘要的方法是如何在不同的遗传架构下识别表达式关联的基于摘要方法?
机译:GWAS的统计和计算方法以及GWAS后分析,以确定颅内动脉瘤的遗传基础。
机译:通过GWAS摘要统计估算注释分层遗传协方差的有效方法
机译:通过GWAS汇总统计估算注释分层遗传协方差的强大方法