Article

Dissection of a complex disease susceptibility region using a Bayesian stochastic search approach to fine mapping

2015-02-12

Abstract excerpt

Identification of candidate causal variants in regions associated with risk of common diseases is complicated by linkage disequilibrium (LD) and multiple association signals. Nonetheless, accurate maps of these variants are needed, both to fully exploit detailed cell specific chromatin annotation data to highlight disease causal mechanisms and cells, and for design of the functional studies that will ultimately be...

Topics

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

Identifiers and source

Literature Corpus work: 5e623cd2-94df-5314-a367-66741cccb894
DOI: 10.1101/015164

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Dissection of a complex disease susceptibility region using a Bayesian stochastic search approach to fine mappingDOI 10.1101/015164Read

Dissection of a Complex Disease Susceptibility Region Using a Bayesian Stochastic Search Approach to Fine Mapping.Semantic proximity Read

Sharing information between related diseases using Bayesian joint fine mapping increases accuracy and identifies novel associations in six immune mediated diseasesSemantic proximity Read

A catalog of GWAS fine-mapping efforts in autoimmune diseaseSemantic proximity Read

Prioritising Autoimmunity Risk Variants for Functional Analyses by Fine-Mapping Mutations Under Natural SelectionSemantic proximity Read

Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis.Semantic proximity Read

Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.Semantic proximity Read

Fine-Mapping Array Design for Multi-Ethnic Studies of Multiple Sclerosis.Semantic proximity Read

A multi-step genomic approach prioritized TBKBP1 gene as relevant for multiple sclerosis susceptibility.Semantic proximity Read

Prioritizing autoimmunity risk variants for functional analyses by fine-mapping mutations under natural selection.Semantic proximity Read

FINEMAP: efficient variable selection using summary data from genome-wide association studies.Semantic proximity Read

FINEMAP: Efficient variable selection using summary data from genome-wide association studiesSemantic proximity Read

BayesFM: a software program to fine-map multiple causative variants in GWAS identified risk lociSemantic proximity Read