ArticleCirculation2018
Genetic Architecture of the Cardiovascular Risk Proteome.
Article in Circulation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.
- Aptamer-Based Proteomic Platform Identifies Novel Protein Predictors of Incident Heart Failure and Echocardiographic Traits.Circulation. Heart failure · 2020Pooled it
- Multiomic Profiling in Black and White Populations Reveals Novel Candidate Pathways in Left Ventricular Hypertrophy and Incident Heart Failure Specific to Black Adults.Circulation. Genomic and precision medicine · 2021Trial
- Modular PheWAS reveals the therapeutic heterogeneity landscape of Danghong injection on stable angina pectoris.Molecular biomedicine · 2026Article
- High-definition likelihood inference of genetic colocalization reveals protein biomarkers for human complex diseases.GigaScience · 2026Article
- Blood proteomics for quantitative biomarkers of cellular therapies.Biomarker research · 2025Review
- Plasma proteome variation and its genetic determinants in children and adolescents.Nature genetics · 2025Article
- Identifying proteomic prognostic markers for Alzheimer's disease with survival machine learning: The Framingham Heart Study.The journal of prevention of Alzheimer's disease · 2025Article
- Mendelian Randomisation: Concepts, Opportunities, Challenges, and Future Directions.Global heart · 2025Review
- Identifying Proteomic Prognostic Markers for Alzheimer's Disease with Survival Machine Learning: the Framingham Heart Study.medRxiv : the preprint server for health sciences · 2024Article
- Identification of an Allele-Specific Transcription Factor Binding Interaction that May Regulate PLA2G2A Gene Expression.Bioinformatics and biology insights · 2024Article
- Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma.Cell metabolism · 2023Article
- Plasma Proteomic Kinetics in Response to Acute Exercise.Molecular & cellular proteomics : MCP · 2023Article
- Plasma proteomic changes in response to exercise training are associated with cardiorespiratory fitness adaptations.JCI insight · 2023Article
- Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility.Nature communications · 2023Article
- Circulating hemopexin modulates anthracycline cardiac toxicity in patients and in mice.Science advances · 2022Article
- Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function.eLife · 2022Article
- Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods.Science advances · 2022Article
- Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing.European journal of epidemiology · 2022Article
- The heart-brain axis: A proteomics study of meditation on the cardiovascular system of Tibetan Monks.EBioMedicine · 2022Article
- Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease.Circulation · 2022Article
Corrections and comments
- Commented on by
Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundWe recently identified 156 proteins in human plasma that were each associated with the net Framingham Cardiovascular Disease Risk Score using an aptamer-based proteomic platform in Framingham Heart Study Offspring participants. Here we hypothesized that performing genome-wide association studies and exome array analyses on the levels of each of these 156 proteins might identify genetic determinants of risk-associated circulating factors and provide insights into early cardiovascular pathophysiology.
methodsWe studied the association of genetic variants with the plasma levels of each of the 156 Framingham Cardiovascular Disease Risk Score-associated proteins using linear mixed-effects models in 2 population-based cohorts. We performed discovery analyses on plasma samples from 759 participants of the Framingham Heart Study Offspring cohort, an observational study of the offspring of the original Framingham Heart Study and their spouses, and validated these findings in plasma samples from 1421 participants of the MDCS (Malmö Diet and Cancer Study). To evaluate the utility of this strategy in identifying new biological pathways relevant to cardiovascular disease pathophysiology, we performed studies in a cell-model system to experimentally validate the functional significance of an especially novel genetic association with circulating apolipoprotein E levels.
resultsWe identified 120 locus-protein associations in genome-wide analyses and 41 associations in exome array analyses, the majority of which have not been described previously. These loci explained up to 66% of interindividual plasma protein-level variation and, on average, accounted for 3 times the amount of variation explained by common clinical factors, such as age, sex, and diabetes mellitus status. We described overlap among many of these loci and cardiovascular disease genetic risk variants. Finally, we experimentally validated a novel association between circulating apolipoprotein E levels and the transcription factor phosphatase 1G. Knockdown of phosphatase 1G in a human liver cell model resulted in decreased apolipoprotein E transcription and apolipoprotein E protein levels in cultured supernatants.
conclusionsWe identified dozens of novel genetic determinants of proteins associated with the Framingham Cardiovascular Disease Risk Score and experimentally validated a new role for phosphatase 1G in lipoprotein biology. Further, genome-wide and exome array data for each protein have been made publicly available as a resource for cardiovascular disease research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.