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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Genetic evidence prioritizes circulating proteins for heart failure beyond shared BMI-related genetic liability
Insights
Researchers identified nine circulating proteins linked to heart failure (HF) independent of body mass index (BMI) genetic links. This study advances understanding of HF pathways and nominates new protein targets for therapeutic exploration.
Area of Science:
- Genetics and Genomics
- Cardiovascular Diseases
- Proteomics
Background:
- Heart failure (HF) and body mass index (BMI) share significant genetic factors, potentially biasing genetic discoveries towards adiposity pathways.
- Identifying HF-associated proteins independent of shared genetic components with BMI is crucial for comprehensive target discovery.
Purpose of the Study:
- To identify circulating proteins associated with HF beyond the genetic overlap with BMI.
- To leverage advanced genetic and proteomic analyses to uncover novel HF mechanisms and therapeutic targets.
Main Methods:
- Applied GWAS-by-subtraction to separate HF genetic susceptibility into BMI-related and BMI-subtracted components.
- Utilized proteome-wide Mendelian randomization and colocalization across four cohorts to prioritize protein-HF associations.
- Integrated tissue-specific eQTL colocalization and cardiac transcriptomic data for further validation and druggability assessment.
Main Results:
- The BMI-subtracted HF components showed reduced genetic correlation with BMI while retaining significant HF loci.
- Nine circulating proteins were prioritized through Mendelian randomization and colocalization analyses across 19,930 tests.
- Specific proteins like CELSR2 and CSF3 demonstrated significant associations with HF risk, with CELSR2 and TMEM106B colocalizing in cardiac tissue.
Conclusions:
- Identified nine novel circulating proteins associated with HF, independent of shared genetic liability with BMI.
- These findings expand the spectrum of genetically supported HF pathways and nominate candidate proteins for future research.
- The study highlights the importance of accounting for shared genetic factors like BMI in human genetics-guided HF target discovery.
Background:
Heart failure (HF) and body mass index (BMI) share substantial genetic architecture, which may lead genetically informed target discovery to preferentially identify adiposity-related pathways. We sought to identify circulating proteins associated with HF beyond this shared genetic component.
Methods:
We applied GWAS-by-subtraction to overall HF, nonischemic HF, and nonischemic HF with reduced or preserved ejection fraction to derive BMI-related and BMI-subtracted HF components. We then performed proteome-wide cis -pQTL Mendelian randomization and colocalization using four independent proteomic cohorts, followed by tissue-specific eQTL colocalization, cardiac transcriptomic annotation, and druggability assessment.
Results:
Compared with the original HF phenotypes, the BMI-subtracted components showed attenuated genetic correlations with BMI (0.045-0.147) while retaining 28 independent loci for overall HF and nine for nonischemic HF. Across 19,930 protein-HF tests, 11 associations involving nine proteins were prioritized by the Mendelian randomization and colocalization analyses. For example, a 1-SD increase in genetically predicted CELSR2 abundance was associated with lower overall HF risk (odds ratio, 0.96 [95% CI, 0.94-0.98]; P =8.6×10 -7 ), whereas a 1-SD increase in genetically predicted CSF3 abundance was associated with higher nonischemic HF risk (odds ratio, 1.32 [95% CI, 1.18-1.48]; P =2.0×10 -6 ). CELSR2 and TMEM106B colocalized with cis -eQTLs in failing left ventricular myocardium, and DAG1 showed cardiomyocyte enrichment with concordant downregulation in failing hearts.
Conclusions:
We identified nine circulating proteins associated with HF beyond the genetic component shared with BMI. These findings extend the range of genetically supported pathways implicated in HF and nominate candidate proteins for further mechanistic and therapeutic investigation.
Clinical Perspective:
What Is New?: GWAS-by-subtraction separated HF genetic susceptibility into BMI-related and BMI-subtracted components, allowing proteome-wide target discovery to focus on HF associations beyond the genetic component shared with BMI.Proteome-wide Mendelian randomization and colocalization prioritized nine circulating proteins.Integration with cardiac molecular data provided additional support for selected proteins, including failing-left-ventricular eQTL colocalization for CELSR2 and TMEM106B and cardiomyocyte expression with concordant myocardial downregulation for DAG1.What Are the Clinical Implications?: Accounting for shared BMI-related genetic liability may extend human genetics-guided target discovery to HF pathways that could be overlooked when conventional HF GWAS are used as the disease outcome.The findings illustrate that therapeutic interpretation must consider the genetically supported direction of effect. The LPA association was consistent with Lp(a) lowering, whereas the CSF3 and RSPO3 results did not support straightforward repurposing of existing pharmacological strategies.The prioritized proteins provide candidates for further functional and therapeutic investigation, but replication and experimental validation are needed before their clinical relevance can be established.
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