Article

Prioritizing Cardiovascular Disease-Associated Variants Altering NKX2-5 Binding through an Integrative Computational Approach

2023-09-02

Abstract excerpt

Cardiovascular diseases (CVDs) are the leading cause of death worldwide and are heavily influenced by genetic factors. Genome-wide association studies (GWAS) have mapped > 90% of CVD-associated variants within the non-coding genome, which can alter the function of regulatory proteins, like transcription factors (TFs). However, due to the overwhelming number of GWAS single nucleotide polymorphisms (SNPs) (>500,000)...

Topics

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

Identifiers and source

Literature Corpus work: 61ffd559-9271-529c-8184-8c97f105c343
DOI: 10.1101/2023.09.01.23294951

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prioritizing Cardiovascular Disease-Associated Variants Altering NKX2-5 Binding through an Integrative Computational ApproachDOI 10.1101/2023.09.01.23294951Read

Prioritizing cardiovascular disease-associated variants altering NKX2-5 and TBX5 binding through an integrative computational approach.Semantic proximity Read

Cardiovascular Disease-Associated Non-Coding Variants Disrupt GATA4-DNA Binding and Regulatory FunctionsSemantic proximity Read

Global Evaluation of Congenital Heart Disease-Associated Non-Coding VariantsSemantic proximity Read

Disease-Associated Non-Coding Variants Alter NKX2-5 DNA-Binding AffinitySemantic proximity Read

Global Evaluation of Congenital Heart Disease-Associated Non-Coding VariantsSemantic proximity Read

Allele-specific NKX2-5 binding underlies multiple genetic associations with human EKG traitsSemantic proximity Read

Computational analysis of congenital heart disease associated SNPs: Unveiling their impact on the gene regulatory systemSemantic proximity Read

Analysis of putative cis-regulatory elements regulating blood pressure variationSemantic proximity Read

Enhancing genotype-phenotype association with optimized machine learning and biological enrichment methodsSemantic proximity Read

High-resolution regulatory maps connect cardiovascular risk variants to disease related pathwaysSemantic proximity Read

Prioritizing causal disease genes using unbiased genomic features.Semantic proximity Read