An enhanced version of Cochran-Armitage trend test for genome-wide association studies
نویسندگان
چکیده
منابع مشابه
An enhanced version of Cochran-Armitage trend test for genome-wide association studies
Genome-wide association studies the evaluation of association between candidate gene and disease status is widely carried out using Cochran-Armitage trend test. However, only a small number of research papers have evaluated the distribution of p-values for the Cochran-Armitage trend test. In this paper, an enhanced version of Cochran-Armitage trend test based on bootstrap approach is introduced...
متن کاملCochran-Armitage Trend Test Using SAS
In clinical trials, a dose response study is often conducted to investigate the relationship between increasing dosage and the effect of the drug under study. The Cochran-Armitage trend test is commonly used to study the underlying trend. This paper summarizes various SAS procedures, including PROC FREQ, PROC MULTTEST, and PROC LOGISTIC, which perform the trend test when the response is binary....
متن کاملCochran-Armitage test versus logistic regression in the analysis of genetic association studies.
OBJECTIVE The Cochran-Armitage trend test based on the linear regression model has become a standard procedure for association testing in case-control studies. In contrast, the logistic regression model is generally used for estimating effect sizes. The aim of this paper is to propose an approach that allows for association testing and parameter estimation by means of the same statistic. METH...
متن کاملA versatile gene-based test for genome-wide association studies.
We have derived a versatile gene-based test for genome-wide association studies (GWAS). Our approach, called VEGAS (versatile gene-based association study), is applicable to all GWAS designs, including family-based GWAS, meta-analyses of GWAS on the basis of summary data, and DNA-pooling-based GWAS, where existing approaches based on permutation are not possible, as well as singleton data, wher...
متن کاملGenome-wide Association Studies
Progress in probabilistic generative models has accelerated, developing richer models with neural architectures, implicit densities, and with scalable algorithms for their Bayesian inference. However, there has been limited progress in models that capture causal relationships, for example, how individual genetic factors cause major human diseases. In this work, we focus on two challenges in par...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Meta Gene
سال: 2016
ISSN: 2214-5400
DOI: 10.1016/j.mgene.2016.07.001