Výsledky vyhľadávania - "Stephens, Matthew"

A Unified Framework for Association Analysis with Multiple Related Phenotypes Autor Stephens, Matthew

“…We consider the problem of assessing associations between multiple related outcome variables, and a single explanatory variable of interest. This problem…”
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Efficient multivariate linear mixed model algorithms for genome-wide association studies Autor Zhou, Xiang, Stephens, Matthew

“…Multivariate linear mixed models implemented in the GEMMA software package add speed, power and the ability to test for genome-wide associations between…”
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Fine-mapping from summary data with the “Sum of Single Effects” model Autor Zou, Yuxin, Carbonetto, Peter, Wang, Gao, Stephens, Matthew

“…In recent work, Wang et al introduced the “Sum of Single Effects” ( SuSiE ) model, and showed that it provides a simple and efficient approach to fine-mapping…”
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Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics Autor Morrison, Jean, Knoblauch, Nicholas, Marcus, Joseph H., Stephens, Matthew, He, Xin

“…Mendelian randomization (MR) is a valuable tool for detecting causal effects by using genetic variant associations. Opportunities to apply MR are growing…”
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Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes Autor Zhu, Xiang, Stephens, Matthew

“…Genome-wide association studies (GWAS) aim to identify genetic factors associated with phenotypes. Standard analyses test variants for associations…”
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Correction: A Unified Framework for Association Analysis with Multiple Related Phenotypes Autor Stephens, Matthew

“…[This corrects the article DOI: 10.1371/journal.pone.0065245.]…”
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fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets Autor Raj, Anil, Stephens, Matthew, Pritchard, Jonathan K

“…Tools for estimating population structure from genetic data are now used in a wide variety of applications in population genetics. However, inferring…”
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Polygenic Modeling with Bayesian Sparse Linear Mixed Models Autor Zhou, Xiang, Carbonetto, Peter, Stephens, Matthew

“…Both linear mixed models (LMMs) and sparse regression models are widely used in genetics applications, including, recently, polygenic modeling in genome-wide…”
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Lipopolysaccharides modulate intestinal epithelial permeability and inflammation in a species-specific manner Autor Stephens, Matthew, von der Weid, Pierre-Yves

“…Patients presenting with Inflammatory bowel disease have been shown to exhibit an altered microbiome in both Crohn's disease and Ulcerative colitis. This shift…”
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Imputation-Based Analysis of Association Studies: Candidate Regions and Quantitative Traits Autor Servin, Bertrand, Stephens, Matthew

“…We introduce a new framework for the analysis of association studies, designed to allow untyped variants to be more effectively and directly tested for…”
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Estimating recent migration and population-size surfaces Autor Al-Asadi, Hussein, Petkova, Desislava, Stephens, Matthew, Novembre, John

“…In many species a fundamental feature of genetic diversity is that genetic similarity decays with geographic distance; however, this relationship is often…”
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Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies Autor Carbonetto, Peter, Stephens, Matthew

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A Simple Model-Based Approach to Inferring and Visualizing Cancer Mutation Signatures Autor Shiraishi, Yuichi, Tremmel, Georg, Miyano, Satoru, Stephens, Matthew

“…Recent advances in sequencing technologies have enabled the production of massive amounts of data on somatic mutations from cancer genomes. These data have led…”
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Bayesian statistical methods for genetic association studies Autor Stephens, Matthew, Balding, David J.

“…Key Points p -values are commonly used as summaries of evidence for association between a genetic variant and phenotype, but they have an important limitation…”
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Fast and accurate genotype imputation in genome-wide association studies through pre-phasing Autor Howie, Bryan, Fuchsberger, Christian, Stephens, Matthew, Marchini, Jonathan, Abecasis, Gonçalo R

“…Gonçalo Abecasis, Jonathan Marchini and colleagues report a pre-phasing strategy for genotype imputation in GWAS, which they show maintains accuracy while…”
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A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase Autor Scheet, Paul, Stephens, Matthew

“…We present a statistical model for patterns of genetic variation in samples of unrelated individuals from natural populations. This model is based on the idea…”
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Genotyping Polyploids from Messy Sequencing Data Autor Gerard, David, Ferrão, Luis Felipe Ventorim, Garcia, Antonio Augusto Franco, Stephens, Matthew

“…Gerard et al. highlight several issues encountered when genotyping polyploid organisms from next-generation sequencing data, including allelic bias,…”
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A Statistical Framework for Joint eQTL Analysis in Multiple Tissues Autor Flutre, Timothée, Wen, Xiaoquan, Pritchard, Jonathan, Stephens, Matthew

“…Mapping expression Quantitative Trait Loci (eQTLs) represents a powerful and widely adopted approach to identifying putative regulatory variants and linking…”
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Visualizing the structure of RNA-seq expression data using grade of membership models Autor Dey, Kushal K., Hsiao, Chiaowen Joyce, Stephens, Matthew

“…Grade of membership models, also known as "admixture models", "topic models" or "Latent Dirichlet Allocation", are a generalization of cluster models that…”
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Accounting for decay of linkage disequilibrium in haplotype inference and missing-data imputation Autor Stephens, Matthew, Scheet, Paul

“…Although many algorithms exist for estimating haplotypes from genotype data, none of them take full account of both the decay of linkage disequilibrium (LD)…”
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