gwas
- 网络全基因组关联分析研究;全基因组关联分析;基因组分析
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There are three main issues in GWAS design : power of test , false positive rate and cost .
GWAS中关心的三个主要问题分别是:检验效能、假阳性和研究经费。
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Have GWAS actually been useful ?
GWAS对我们真的已经有用了吗?
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In recent years , genome-wide association studies ( GWAS ) are being conducted to unravel the genetic etiology of complex human diseases .
近年来,全基因组关联研究(GWAS)已成为研究人类复杂性疾病中遗传变异的重要手段。
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To overcome these shortcomings , it is necessary to carry out genome-wide association studies ( GWAS ) with high throughput SNP markers .
为克服其缺陷,有必要利用海量分子标记进行全基因组关联分析。
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We conducted the bivariate GWAS for CSI and BMI using R software based on a linear model to detect association between a SNP and two phenotypes .
然后用R软件进行基于线性模型的双变量回归分析,检测某个SNP同时与CSI和BMI的关联度。
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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。
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Most of the researchers working on GWAS that I 've spoken to are not increasing their sample sizes because they think common variants are the only source of disease risk ;
我曾经交谈过的,大多数从事GWAS工作的研究者没有增加他们的样本,因为他们认为普通变异是预测疾病风险的唯一来源。
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With the development of the next-generation sequencing technology , whole genome and exome sequencing developed rapidly and provide an opportunity for us to deal with the problem caused by GWAS .
而新一代测序技术的进步,促进了全基因组测序和全基因组外显子测序的快速发展,为解决上述问题提供了契机。
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Thirdly , we propose a robust bayesian analysis based on asymptotic Bayes factor under two-stage GWAS , and define detection probability to evaluate the performance of asymptotic Bayes factor ranking methods .
我们基于渐近贝叶斯因子提出了一种稳健的两阶段贝叶斯分析方法,并定义了检定概率来评价渐近贝叶斯因子排序方法的优劣。
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Hirschhorn argues that despite the failure to uncover the majority of the genetic disease risk , GWAS have in fact contributed substantially to our understanding of disease mechanisms .
Hischhorn认为尽管未能揭示大多数遗传病的风险,GWAS实际上对理解疾病机制作出了卓越贡献。
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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。
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By using the function of organic reagents in protein and fat , a kind of fleetness and valid , new digest method without heating was established , and its mechanism of pre-treatin gwas studied .
利用有机试剂对蛋白质和油脂的作用,建立了一种不需加热的快速有效消化头发的新方法,并对其作用机理进行了探讨。
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Context Genome-wide association studies ( GWAS ) have recently identified CLU , PICALM , and CR1 as novel genes for late-onset Alzheimer disease ( AD ) .
全基因组相关性研究新近确定了CLU,PICALM和CR1是晚发性阿尔茨海默氏病(AD)的新相关基因。
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These pathways weren 't known to play a role in these diseases prior to GWAS , but the evidence for their involvement from GWAS ( particularly in the case of AMD ) is unambiguous .
在GWAS之前,并不了解这些通路在以上疾病中发挥作用,但从GWAS角度,他们与疾病相关性的证据是模糊的。
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I think it 's important to note here that while Goldstein has been one of the most public voices noting the disappointing yield from GWAS , he is by no means a lone voice in the wilderness .
在这里,我认为有一点需要注意,尽管Goldstein已经成为为数不多的对GWAS持消极观点的研究人员中态度最公开的一个,但他绝对不是单枪匹马。
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Genome-wide association studies ( GWAS ) have emerged as an important tool for discovering susceptibility loci of complex diseases , and have successfully identified thousands of genetic variants ( single-nucleotide polymorphism , SNP ) associated with many human diseases .
全基因组关联研究作为一种发现复杂疾病易感基因的重要工具,已经帮助科学家们成功地找到了数干个与多种人类疾病相关联的遗传变异(单核苷酸多态性)。