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

14.0K
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...
14.0K
Regression Toward the Mean01:52

Regression Toward the Mean

6.4K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.4K
Depression: Overview01:18

Depression: Overview

322
Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
322
Depressive Disorders: MDD and Dysthymia01:27

Depressive Disorders: MDD and Dysthymia

198
Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
198

You might also read

Related Articles

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

Sort by
Same author

Claudin 18.2 Targeting: A Pan-Cancer Perspective.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Natural language querying of biological databases with large language models.

Drug discovery today·2026
Same author

Integrating human exposome data into next-generation risk assessment: a systematic framework to infer real-life exposure levels and prioritize chemical compounds for testing.

Environment international·2026
Same author

The Landscape of Bispecific Antibodies in Solid Tumor Oncology: Trends, Challenges, and Opportunities.

Cancer medicine·2025
Same author

A broad kinase inhibitor library live cell imaging screen using liver, kidney and cardiac hiPSC-ICAM1-eGFP reporter lineages identifies liabilities for TNFα pathway modulation.

Archives of toxicology·2025
Same author

Quantitative systems toxicology: modelling to mechanistically understand and predict drug safety.

Nature reviews. Drug discovery·2025

Related Experiment Video

Updated: Aug 24, 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

3.4K

Benchmarking post-GWAS analysis tools in major depression: Challenges and implications.

Judith Pérez-Granado1, Janet Piñero1,2, Laura I Furlong1,2

  • 1Research Programme on Biomedical Informatics (GRIB), Hospital Del Mar Medical Research Institute (IMIM), Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra (UPF), Barcelona, Spain.

Frontiers in Genetics
|October 24, 2022
PubMed
Summary

Comparing genetic fine-mapping and colocalization methods for major depression reveals significant differences in identifying causal variants and their biological impact. This highlights the need for careful tool selection in post-GWAS analysis.

Keywords:
colocalizationeQTLsfine-mappingmajor depressionpost-GWAS

More Related Videos

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

767
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K

Related Experiment Videos

Last Updated: Aug 24, 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

3.4K
Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

767
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K

Area of Science:

  • Genetics
  • Genomics
  • Bioinformatics

Background:

  • Genome-wide association studies (GWAS) identify genetic variants (GVs) linked to complex disorders.
  • Understanding the functional impact and biological mechanisms of these GVs remains a challenge.
  • Post-GWAS fine-mapping and colocalization methods aim to pinpoint causal GVs but lack standardized guidelines and benchmarking.

Purpose of the Study:

  • To systematically compare the results of two different fine-mapping and colocalization methods applied to the same GWAS data for major depression (MD).
  • To evaluate the performance of these methods in identifying causal GVs, target genes, and tissue specificity.
  • To assess the biological implications of findings from different analytical approaches.

Main Methods:

  • Applied two distinct fine-mapping and colocalization methods to GWAS data for major depression.
  • Integrated expression quantitative trait loci (eQTL) datasets to assess functional effects.
  • Evaluated results based on fine-mapped/colocalizing GVs, target genes, tissue specificity, and biological processes.

Main Results:

  • Fine-mapping emerged as a crucial step for subsequent analyses.
  • Significant discrepancies were observed between methods regarding colocalizing variants, affected genes, and targeted tissues.
  • These differences extended to the inferred biological implications of the identified genetic associations.

Conclusions:

  • The choice of fine-mapping and colocalization tools impacts the identification of causal variants and their functional consequences in GWAS.
  • Methodological differences have significant implications for elucidating disease pathobiology, prioritizing drug targets, and discovering biomarkers.
  • Further research is needed to establish guidelines and benchmarks for post-GWAS analysis tools.