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

69.2K
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...
69.2K
Trait and State Self-Esteem02:08

Trait and State Self-Esteem

11.5K
The term self-esteem is often used generically, to refer to how people feel about themselves. However, according to research, there are three distinct constructs that should not be used interchangeably (Brown & Marshall, 2006). 
11.5K
Multiple Allele Traits01:49

Multiple Allele Traits

38.2K
The Concept of Multiple Allelism
38.2K
Traits and States01:17

Traits and States

569
Personality traits represent consistent patterns in behavior, thoughts, and emotions, reflecting an individual's tendencies across various situations. For example, extraversion, a well-known trait, manifests in individuals as talkative, energetic, and enthusiastic behaviors. These traits are stable over time, offering a reliable framework for predicting how people might act in different contexts. However, they do not define every moment of an individual's life. In contrast to traits,...
569
X-linked Traits01:19

X-linked Traits

59.0K
In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.
59.0K
Trait Centrality01:21

Trait Centrality

203
Trait centrality refers to the degree to which a particular characteristic influences the overall impression of an individual. Some traits exert a disproportionately strong impact on perception, shaping how people interpret other attributes of a person. Solomon Asch first systematically studied this phenomenon in 1946.Asch’s Experiment on Trait CentralityAsch's seminal study demonstrated the centrality of certain traits through a controlled experiment. Participants were presented with a...
203

You might also read

Related Articles

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

Sort by
Same author

<i>Escherichia coli</i> in water samples at Bhutan's National Food Testing Laboratory: baseline findings and scoping for antimicrobial resistance surveillance.

Journal of water and health·2026
Same author

A Phase 2 Feasibility Study Combining Pembrolizumab and Metformin in patients with Metastatic Head and Neck Cancer.

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

Urolithin A activates aryl hydrocarbon receptor-NLRP6-mediated pathways in intestinal epithelial cells to modulate mucosal immunity and strengthen gut barrier integrity.

Nature communications·2026
Same author

Kinetics of foot-and-mouth disease antibody response in cattle vaccinated with FMD-HS-BQ combined vaccine under field condition.

Frontiers in microbiology·2026
Same author

Estimation of seroconversion and vaccination impact against FMD in India during 2006-2022 using survey sampling and Bayesian approaches.

Scientific reports·2026
Same author

Impact of high-fat Western diet on chronic lymphocytic leukemia disease progression and gut microbiome profile in Eμ-TCL1 mice.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Feb 14, 2026

Relating Stomatal Conductance to Leaf Functional Traits
11:09

Relating Stomatal Conductance to Leaf Functional Traits

Published on: October 12, 2015

19.8K

Statistical Approach for Gene Set Analysis with Trait Specific Quantitative Trait Loci.

Samarendra Das1,2, Anil Rai3, D C Mishra3

  • 1Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India.

Scientific Reports
|February 7, 2018
PubMed
Summary

This study introduces Gene Set Analysis with QTLs (GSAQ), a novel statistical method for plant biology. GSAQ effectively links gene expression data with Quantitative Trait Loci (QTL) to discover trait-specific gene sets and candidate genes.

More Related Videos

A Simple Protocol for Mapping the Plant Root System Architecture Traits
11:09

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

3.8K
The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan
11:58

The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan

Published on: June 29, 2018

10.1K

Related Experiment Videos

Last Updated: Feb 14, 2026

Relating Stomatal Conductance to Leaf Functional Traits
11:09

Relating Stomatal Conductance to Leaf Functional Traits

Published on: October 12, 2015

19.8K
A Simple Protocol for Mapping the Plant Root System Architecture Traits
11:09

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

3.8K
The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan
11:58

The Replica Set Method: A High-throughput Approach to Quantitatively Measure Caenorhabditis elegans Lifespan

Published on: June 29, 2018

10.1K

Area of Science:

  • Plant Biology
  • Genetics
  • Bioinformatics

Background:

  • Traditional gene set analysis often lacks formal genotype-phenotype links.
  • Quantitative Trait Loci (QTL) data offer a rich source for biological knowledge discovery in plant breeding.
  • Integrating gene expression with QTL data is crucial for understanding complex traits.

Purpose of the Study:

  • To propose an innovative statistical approach, Gene Set Analysis with QTLs (GSAQ), for interpreting gene expression data in the context of trait-specific QTLs.
  • To evaluate the effectiveness of GSAQ in identifying trait/stress-enriched gene sets and candidate genes.
  • To develop an R package for GSAQ implementation.

Main Methods:

  • Development of the Gene Set Analysis with QTLs (GSAQ) statistical approach.
  • Application of GSAQ to analyze gene expression data across five rice stress scenarios.
  • Comparison of GSAQ with existing gene set analysis methods.
  • Development of an R package for the GSAQ method.

Main Results:

  • GSAQ successfully identified trait/stress-enriched gene sets in rice under various stress conditions.
  • The GSAQ approach demonstrated superior innovation and effectiveness in gene set analysis with QTLs compared to existing methods.
  • Two novel biological criteria for evaluating gene selection methods were proposed.
  • An R package named GSAQ was developed and made available.

Conclusions:

  • GSAQ provides a valuable platform for integrating gene expression data with genetically rich QTL data in plants.
  • The approach enhances biological knowledge discovery by formally linking genotype to phenotype.
  • GSAQ facilitates the identification of candidate genes underlying specific traits and stresses.