Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dual Antiplatelet Therapy and Immediate Intensive Statin in Mild Ischemic Stroke: A Randomized Trial.

Neurology·2026
Same author

The <i>GNB3</i> C825T Polymorphism Is Associated With Decreased Risk of Recurrence of Large-Artery Atherosclerotic Acute Ischemic Stroke.

Journal of the American Heart Association·2026
Same author

Genomic landscape of the human vaginal microbiome is linked to host genetics and population of origin.

Nature genetics·2026
Same author

Dual human milk oligosaccharide-fibre utilisation is a selection cue for the weaning gut microbiome.

Nature communications·2026
Same author

Efficacy and Safety of Reteplase Versus Alteplase in Acute Ischemic Stroke Based on Fibrinogen Levels: The RAISE Trial Subgroup.

Journal of the American Heart Association·2026
Same author

Impact of enlarged perivascular spaces on endovascular therapy outcomes in patients with large ischaemic core: A post-hoc analysis of the ANGEL-ASPECT trial.

Journal of translational internal medicine·2026

Related Experiment Video

Updated: Jun 14, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

Association Between Cardiovascular Polygenic Risk and White Matter Hyperintensities: An Observational Study From the

Yongfang Zhang1,2, Sicheng Guo1,2, Yuting Ma2

  • 1College of Life Sciences, University of Chinese Academy of Sciences, Beijing (Y.Z., S.G., S.L., N.Z.).

Hypertension (Dallas, Tex. : 1979)
|April 22, 2026
PubMed
Summary
This summary is machine-generated.

Genetic background influences white matter hyperintensities (WMH) and cardiovascular disease risk. This highlights potential for precision risk stratification and prevention strategies.

Keywords:
arterial pressureblood pressurebody mass indexischemic strokerisk factors

More Related Videos

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
07:30

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Published on: April 23, 2021

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
08:51

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Published on: September 20, 2024

Related Experiment Videos

Last Updated: Jun 14, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
07:30

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

Published on: April 23, 2021

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
08:51

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Published on: September 20, 2024

Area of Science:

  • Neurology
  • Genetics
  • Cardiology

Background:

  • White matter hyperintensities (WMH) are linked to cardiovascular risk factors.
  • The role of shared genetic architecture in WMH and cardiovascular disease is not fully understood.

Purpose of the Study:

  • To investigate the association between WMH subtypes and polygenic risk scores (PRSs) for various diseases.
  • To explore how WMH burden modifies cardiovascular risk across different genetic risk strata.
  • To identify biomarkers jointly associated with WMH and disease-specific PRSs.

Main Methods:

  • Utilized UK Biobank data from 44,996 participants.
  • Assessed associations between WMH subtypes and PRSs for 35 diseases/traits using regression models.
  • Employed Cox models to evaluate WMH burden's modification of cardiovascular risk.
  • Analyzed multiomics data for joint biomarkers.

Main Results:

  • Higher WMH burden correlated with increased PRSs for cardiovascular disease, hypertension, ischemic stroke, and blood pressure.
  • WMH burden predicted higher cardiovascular disease incidence in individuals with high CVD PRS.
  • Hypertension risk was elevated by WMH burden in both PRS strata, with stronger effects in high PRS groups.
  • Lifestyle factors showed gene-dependent protective effects.
  • Identified 46 circulating biomarkers, mainly lipid metabolism-related, jointly linked to WMH and CVD PRSs.

Conclusions:

  • Genetic background significantly influences the association between WMH burden and cardiovascular disease risk.
  • Findings support precision risk stratification for cardiovascular diseases.
  • The study suggests tailored prevention strategies based on genetic predisposition and WMH burden.