Confident inference for SNP effects on treatment efficacy

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

DNA microarray SNP associations with clinical efficacy and side effects of domperidone treatment for gastroparesis

BACKGROUND Domperidone treatment for gastroparesis is associated with variable efficacy as well as the potential for side effects. DNA microarray single nucleotide polymorphism (SNP) analysis may help to elucidate the role of genetic variability on the therapeutic effectiveness and toxicity of domperidone. AIM The aim of this study was to identify SNPs that are associated with clinical effica...

متن کامل

An Effective Algorithm for SNP Haplotype Block Inference

Recently, it has been shown that there should exist a block-like structure in human genome, and thus only limited haplotype diversity can be obtained. In this paper, we propose a fixed-diversity strategy to find out the suitable block diversity and block boundaries. The diversity value in one block is defined as d 1 ∑i 1 xi 2, where xi denotes the frequency ratio of the ith kind of haplotype wi...

متن کامل

Inference on Treatment Effects after Selection amongst High-dimensional Controls

We propose robust methods for inference on the effect of a treatment variable on a scalar outcome in the presence of very many controls. Our setting is a partially linear model with possibly non-Gaussian and heteroscedastic disturbances where the number of controls may be much larger than the sample size. To make informative inference feasible, we require the model to be approximately sparse; t...

متن کامل

Bayesian Model Search and Multilevel Inference for Snp Association Studies.

Technological advances in genotyping have given rise to hypothesis-based association studies of increasing scope. As a result, the scientific hypotheses addressed by these studies have become more complex and more difficult to address using existing analytic methodologies. Obstacles to analysis include inference in the face of multiple comparisons, complications arising from correlations among ...

متن کامل

Bayesian inference for longitudinal data with non-parametric treatment effects.

We consider inference for longitudinal data based on mixed-effects models with a non-parametric Bayesian prior on the treatment effect. The proposed non-parametric Bayesian prior is a random partition model with a regression on patient-specific covariates. The main feature and motivation for the proposed model is the use of covariates with a mix of different data formats and possibly high-order...

متن کامل

ذخیره 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: The Annals of Applied Statistics

سال: 2018

ISSN: 1932-6157

DOI: 10.1214/17-aoas1128