Article

Leveraging functional annotation to identify genes associated with complex diseases

2019-01-23

Abstract excerpt

To increase statistical power to identify genes associated with complex traits, a number of transcriptome-wide association study (TWAS) methods have been proposed using gene expression as a mediating trait linking genetic variations and diseases. These methods first predict expression levels based on inferred expression quantitative trait loci (eQTLs) and then identify expression-mediated genetic effects on diseas...

Topics

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

Identifiers and source

Literature Corpus work: ba6ed6a6-bcef-583f-a5ef-1f57c85efb62
DOI: 10.1101/529297

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Leveraging functional annotation to identify genes associated with complex diseasesDOI 10.1101/529297Read

Leveraging functional annotation to identify genes associated with complex diseases.Semantic proximity Read

Systematic tissue-specific functional annotation of the human genome highlights immune-related DNA elements for late-onset Alzheimer’s diseaseSemantic proximity Read

Leveraging molecular QTL to understand the genetic architecture of diseases and complex traitsSemantic proximity Read

Hi-GREx: A 3D Genome–Guided Framework for enhancing Gene Expression Prediction Using Hi-C–Selected Distal SNPsSemantic proximity Read

Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits.Semantic proximity Read

Brain and Blood Transcriptome-Wide Association Studies Identify Five Novel Genes Associated with Alzheimer’s DiseaseSemantic proximity Read

Functional enrichments of disease variants across thousands of independent loci in eight diseasesSemantic proximity Read

A probabilistic framework to dissect functional cell-type-specific regulatory elements and risk loci underlying the genetics of complex traitsSemantic proximity Read

Integrative analysis of 10,000 epigenomic maps across 800 samples for regulatory genomics and disease dissectionSemantic proximity Read

Integrative tissue-specific functional annotations in the human genome provide novel insights on many complex traits and improve signal prioritization in genome wide association studiesSemantic proximity Read

Integrative Tissue-Specific Functional Annotations in the Human Genome Provide Novel Insights on Many Complex Traits and Improve Signal Prioritization in Genome Wide Association Studies.Semantic proximity Read

FUN-LDA: A LATENT DIRICHLET ALLOCATION MODEL FOR PREDICTING TISSUE-SPECIFIC FUNCTIONAL EFFECTS OF NONCODING VARIATIONSemantic proximity Read