Article

A Bayesian Framework for Multiple Trait Colocalization from Summary Association Statistics

2017-06-26

Abstract excerpt

<h4>Motivation</h4> Most genetic variants implicated in complex diseases by genome-wide association studies (GWAS) are non-coding, making it challenging to understand the causative genes involved in disease. Integrating external information such as quantitative trait locus (QTL) mapping of molecular traits (e.g., expression, methylation) is a powerful approach to identify the subset of GWAS signals explained by r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2cba428f-f504-5b0c-b298-8b003bd92edc
DOI: 10.1101/155481

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Bayesian Framework for Multiple Trait Colocalization from Summary Association StatisticsDOI 10.1101/155481Read

Cascading Epigenomic Analysis for Identifying Disease Genes from the Regulatory Landscape of GWAS VariantsSemantic proximity Read

Co-localization of Conditional eQTL and GWAS Signatures in SchizophreniaSemantic proximity Read

Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits.Semantic proximity Read

nMAGMA: a network-enhanced method for inferring risk genes from GWAS summary statistics and its application to schizophrenia.Semantic proximity Read

nMAGMA: a network enhanced method for inferring risk genes from GWAS summary statistics and its application to schizophreniaSemantic proximity Read

MRLocus: Identifying causal genes mediating a trait through Bayesian estimation of allelic heterogeneity.Semantic proximity Read

A powerful and versatile colocalization test.Semantic proximity Read

Leveraging brain cortex-derived molecular data to elucidate epigenetic and transcriptomic drivers of complex traits and disease.Semantic proximity Read

mBAT-combo: a more powerful test to detect gene-trait associations from GWAS dataSemantic proximity Read

Integrative modeling of multiple genomic data from different types of genetic association studies.Semantic proximity Read

Integration analysis of methylation quantitative trait loci and GWAS identify three schizophrenia risk variants.Semantic proximity Read

Estimating colocalization probability from limited summary statisticsSemantic proximity Read