HeartBioPortal2.0
HeartBioPortal2.0 aggregates and harmonizes cardiovascular genetics and genomics data to enable analysis of genetic associations and cardiometabolic quantitative traits across ethnically diverse populations.
Key Features:
- Extensive Data Integration: Consolidates next-generation sequencing data from multiple modalities and provides access to 44,988 human genic and intergenic regions and 6,906,292 variants across 37 cardiovascular diseases and 56 cardiometabolic quantitative traits.
- Ethnically Diverse Population Support: Incorporates data from diverse racial and ethnic groups to enable analyses of population-specific genetic predisposition and allele frequency differences.
- Comprehensive Genetic Data Sources: Integrates gene expression data and genetic association data from GWAS consortia including CARDIoGRAMplusC4D, TOPMed, FinnGen, AFGen, MESA, MEGASTROKE, UK Biobank, CHARGE, Biobank Japan, and MyCode.
- Quantitative Trait Analysis: Supports investigation of quantitative cardiometabolic traits across a spectrum from health (e.g., blood pressure) to disease (e.g., hypertension).
Scientific Applications:
- Genetic basis of CVD: Identify and analyze genetic variants and loci associated with cardiovascular diseases.
- Shared genetic architectures: Examine shared genetic architecture and pleiotropy across continuous cardiometabolic spectra.
- Health-to-disease transitions and endophenotypes: Analyze quantitative trait trajectories and endophenotypes to study transitions from health to cardiovascular disease.
Methodology:
Harmonizes CVD-relevant genetic variants and integrates next-generation sequencing data, gene expression data, and genetic association summary statistics from GWAS consortiums.
Topics
Details
- Tool Type:
- api, web application
- Added:
- 1/18/2021
- Last Updated:
- 1/30/2021
Operations
Publications
Khomtchouk BB, Vand KA, Nelson CS, Palmisano S, Grossman RL. HeartBioPortal2.0: new developments and updates for genetic ancestry and cardiometabolic quantitative traits in diverse human populations. Unknown Journal. 2020. doi:10.1101/2020.10.19.346445.