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

13.3K
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...
13.3K
Human Genetics01:28

Human Genetics

559
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
559
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

353
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
353
Epistasis Analysis01:09

Epistasis Analysis

5.0K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.0K

You might also read

Related Articles

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

Sort by
Same author

An Alzheimer's disease-associated common regulatory variant in a <i>PTK2B</i> intron alters microglial function.

iScience·2026
Same author

Parental Age and Childhood Allergy Risk.

JAMA network open·2026
Same author

Not All Rhinitis Follows the Atopic March: Early-Life Risk Factors and Implications of Infectious Disease Across Three Phenotypes in JECS Cohort.

Allergy·2025
Same author

Maternal blood metal levels during pregnancy and body mass index z-score, overweight, and obesity among children: Findings of the Japan Environment and Children's Study.

Environmental research·2025
Same author

Gene expression QTL mapping in stimulated iPSC-derived macrophages provides insights into common complex diseases.

Nature communications·2025
Same author

Splicing QTL mapping in stimulated macrophages associates low-usage splice junctions with immune-mediated disease risk.

Nature communications·2025

Related Experiment Video

Updated: Jun 24, 2025

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

3.6K

Genetic association mapping leveraging Gaussian processes.

Natsuhiko Kumasaka1

  • 1Division of Digital Genomics, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan. kumasaka@hgc.jp.

Journal of Human Genetics
|June 4, 2024
PubMed
Summary

Gaussian processes (GPs) offer a powerful method for modeling complex biological data in genomics and genetics. This review highlights their use in genetic association mapping to find variants influencing gene regulation and disease susceptibility.

More Related Videos

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

19.0K
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

3.3K

Related Experiment Videos

Last Updated: Jun 24, 2025

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

3.6K
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

19.0K
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

3.3K

Area of Science:

  • Genomics and Genetics
  • Computational Biology
  • Statistical Modeling

Background:

  • Gaussian processes (GPs) are effective for modeling nonlinear phenomena.
  • Applications span diverse scientific fields, including genomics and genetics.
  • Genetic association mapping seeks to link genetic variants to phenotypic traits.

Purpose of the Study:

  • To review the application of Gaussian processes in genetic association mapping.
  • To identify genetic variants affecting gene regulation across cellular states.
  • To understand population-level disease susceptibility over time and space.

Main Methods:

  • Review of existing literature on Gaussian processes in genetic studies.
  • Focus on methodologies for identifying genetic variants.
  • Analysis of GP models for continuous and population-level data.

Main Results:

  • GPs provide a flexible framework for complex genetic data modeling.
  • Successful application in identifying genetic variants related to gene regulation.
  • Potential for understanding dynamic and spatial aspects of disease susceptibility.

Conclusions:

  • Gaussian processes are a valuable tool for advanced genetic association studies.
  • Further research can address challenges and explore new opportunities in GP applications.
  • This approach enhances our ability to map genetic influences on complex traits.