Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Multiple Allele Traits

Multiple Allele Traits

The Concept of Multiple Allelism

Genome-wide Association Studies-GWAS

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...

Modern Molecular Taxonomy

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

Polygenic Traits

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 Traits

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...

Behavioral Genetics and Its Designs

Behavioral Genetics and Its Designs

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...

You might also read

Related Articles

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

Sort by

Same author

Rapid and High Throughput Hydroponics Phenotyping Method for Evaluating Chickpea Resistance to Phytophthora Root Rot.

Plants (Basel, Switzerland)·2023

Same author

WGNAM: whole-genome nested association mapping.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2022

Same author

A Multi-Environment Trial Analysis of Frost Susceptibility in Wheat and Barley Under Australian Frost-Prone Field Conditions.

Frontiers in plant science·2021

Same author

Genomic selection in multi-environment plant breeding trials using a factor analytic linear mixed model.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie·2019

Same author

Increased accuracy of starch granule type quantification using mixture distributions.

Plant methods·2017

Same author

Multiple Factors Affect Socioeconomics and Wellbeing of Artisanal Sea Cucumber Fishers.

PloS one·2016

Search research articles

Related Experiment Video

Updated: May 21, 2026

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

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

Published on: July 27, 2021

Multivariate whole genome average interval mapping: QTL analysis for multiple traits and/or environments.

Arūnas P Verbyla¹, Brian R Cullis

¹School of Agriculture, Food and Wine, The University of Adelaide, PMB 1, Glen Osmond, SA 5064, Australia. ari.verbyla@adelaide.edu.au

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik

|June 14, 2012

Summary

This study introduces a whole genome approach for analyzing quantitative trait loci (QTL) across multiple traits and environments. The multivariate method enhances the power to detect QTL compared to traditional univariate analyses.

More Related Videos

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Related Experiment Videos

Last Updated: May 21, 2026

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

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

Published on: July 27, 2021

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

Area of Science:

Plant genetics and breeding
Statistical genomics
Quantitative genetics

Background:

Identifying quantitative trait loci (QTL) for multiple traits or environments is crucial for plant breeding.
Understanding QTL by trait and QTL by environment interactions provides valuable insights for breeders.

Purpose of the Study:

To present a whole genome approach for multivariate quantitative trait loci (QTL) analysis.
To enhance the detection power of QTL for multiple traits and environments.

Main Methods:

Extension of whole genome average interval mapping for simultaneous analysis of all linkage map intervals.
Utilizes a random effects model with a variance-covariance matrix for multivariate QTL effects.
Employs outlier detection for selecting putative QTL and transfers interactions to fixed effects iteratively.

Main Results:

A simulation study demonstrated increased power for QTL detection compared to univariate methods.
The approach was successfully illustrated using two doubled haploid populations in wheat.
Analyzed traits included α-amylase activity, height, and multi-environment flour dough extensibility.

Conclusions:

The developed method offers a robust approach for multi-trait and multi-environment QTL analysis.
It effectively handles non-genetic sources of variation in plant breeding studies.
This multivariate strategy improves the efficiency of identifying genetic factors influencing complex traits.