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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

15.0K
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...
15.0K
Manipulation and Analysis01:21

Manipulation and Analysis

205
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
205
Introduction to GIS01:28

Introduction to GIS

374
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
374
Hindsight Biases01:12

Hindsight Biases

4.2K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.2K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

177
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
177
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

325
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
325

You might also read

Related Articles

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

Sort by
Same author

Gene expression asymmetry in Parkinson's disease: variation of <i>CCT</i> gene expression is correlated with hemisphere specific severity.

Frontiers in molecular neuroscience·2026
Same author

Integrative multiomics analysis of metabolic dysregulation induced by occupational benzene exposure in mice.

bioRxiv : the preprint server for biology·2025
Same author

Gene expression asymmetry in Parkinson's Disease; variation of <i>CCT</i> and <i>BEX</i> gene expression levels are correlated with hemisphere specific severity.

bioRxiv : the preprint server for biology·2024
Same author

Electric-Field Manipulation of Magnetic Chirality in a Homo-Ferro-Rotational Helimagnet.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2024
Same author

Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes.

Nature communications·2024
Same author

Parkinson's disease risk enhancers in microglia.

iScience·2024

Related Experiment Video

Updated: Dec 8, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.6K

Post-GWAS knowledge gap: the how, where, and when.

Steven E Pierce1, Alix Booms1, Jordan Prahl1

  • 1Center for Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI USA.

NPJ Parkinson'S Disease
|September 23, 2020
PubMed
Summary
This summary is machine-generated.

Genome-wide association studies (GWAS) identify genetic variants for complex diseases, but underlying biological mechanisms remain largely unknown. Further research funding is crucial for understanding disease causality and identifying risk genes.

Keywords:
GenomicsNeurological disorders

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.0K
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.5K

Related Experiment Videos

Last Updated: Dec 8, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.6K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.0K
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.5K

Area of Science:

  • Genetics
  • Genomics
  • Disease Mechanisms

Background:

  • Complex diseases rarely stem from single-gene mutations (Mendelian inheritance).
  • Risk is often conferred by numerous small-effect genetic variants identified through genome-wide association studies (GWAS).
  • The biological pathways and effector proteins linked to GWAS signals are typically unidentified.

Purpose of the Study:

  • To highlight the gap in understanding biological mechanisms post-GWAS.
  • To advocate for increased funding for fundamental biological research following GWAS.
  • To explore how genetic risk loci contribute to disease pathogenesis, using Parkinson's Disease as a model.

Main Methods:

  • Review of genetic association study methodologies.
  • Analysis of the limitations of current genome-wide association study (GWAS) interpretation.
  • Case study approach focusing on Parkinson's Disease risk loci.

Main Results:

  • Genome-wide association studies (GWAS) excel at identifying genetic risk variants but offer limited insight into disease mechanisms.
  • Current utility of GWAS is primarily in predictive and diagnostic applications.
  • Significant knowledge gaps exist regarding the functional impact of identified risk loci.

Conclusions:

  • Post-GWAS research is essential for elucidating disease causality and identifying specific risk genes.
  • Increased investment in functional genomics and biological pathway exploration is needed.
  • Understanding the 'how, where, and when' of risk loci function is critical for advancing disease understanding and therapeutic development.