Have GWAS actually been useful?
GWAS对我们真的已经有用了吗？
In private, though, the more thoughtful GWAS researchers are troubled.
然而私下里，那些更有思想的GWAS研究者们有麻烦了。
This review summarizes the progress in using GWAS for screening of RA susceptible genes.
本文就近年来全基因组关联分析技术研究RA易感基因的进展做一综述。
In GWAS, the genetic effects are typically small and large samples are required to detect a significant genetic signal.
GWAS中的遗传作用通常很小，因此需要用大量样品来检测显著遗传信号。
To make a better use of the GWAS methods in applied research, in this study we summarized the advances on methodologies and softwares for GWAS.
为对其更好选择和应用，本文综述了关联分析的主要方法及其软件包。
The major response from researchers performing GWAS has been to continually increase sample sizes, giving them power to reveal variants with ever-smaller effect sizes.
对此，GWAS研究者的主要反应就是继续增加样本量，使得他们有能力发现效应尺度更弱的变异。
However, the future approaches for GWAS should be based on the multi-locus genetic model, QTN-by-environment interaction, epistatic detection and multivariate analysis.
但是，今后的方法应当是以多位点模型、环境互作、上位性检验和多个相关性状联合分析为主。
Where I think Goldstein does have the upper hand is in his critique of the success of the second goal of GWAS: identifying markers that can be used to predict disease risk.
我认为Goldstein占优的地方是：他对GWAS达到第二个目标（发现可用于预测疾病风险的变异）的批判。
Then, the main approaches and their softwares for GWAS in plants were reviewed, including a single-locus model, a multi-locus model, epistasis, and multiple correlated traits.
其次， 重点介绍了单位点关联分析、多位点关联分析、上位性和多性状关联分析方法及其软件包；
Progress in understanding the genetic basis of atherosclerosis has come both from genome-wide association studies (GWAS) in populations and from focused studies of patients with extreme phenotypes.
人群全基因组关联研究（GWAS）和极端表型患者针对性研究均在理解动脉粥样硬化遗传理论方面取得了进步。
Progress in understanding the genetic basis of atherosclerosis has come both from genome-wide association studies (GWAS) in populations and from focused studies of patients with extreme phenotypes.
人群全基因组关联研究（GWAS）和极端表型患者针对性研究均在理解动脉粥样硬化遗传理论方面取得了进步。
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