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Related Concept Videos

Multiple Allele Traits

Multiple Allele Traits

The Concept of Multiple Allelism

Multiple Allele Traits

Multiple Allele Traits

The Concept of Multiple Allelism

X-linked Traits

X-linked Traits

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”.

X-linked Traits

X-linked Traits

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”.

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...

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Related Experiment Video

Updated: Jun 20, 2026

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii

Published on: June 22, 2017

Quantitative trait locus analysis using J/qtl.

Randy Smith¹, Keith Sheppard, Keith DiPetrillo

¹The Jackson Laboratory, Bar Harbor, ME, USA.

Methods in Molecular Biology (Clifton, N.J.)

|September 19, 2009

Summary

This summary is machine-generated.

This study introduces J/qtl, a graphical user interface for R/qtl, simplifying quantitative trait locus (QTL) analysis in rodent crosses. It guides users through data preparation and analysis to identify genetic loci influencing traits.

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Published on: July 27, 2021

Area of Science:

Genetics
Bioinformatics
Statistical Genomics

Background:

Quantitative trait locus (QTL) analysis identifies genomic regions influencing phenotypic traits.
R/qtl is a robust command-line tool for rodent QTL analysis but poses challenges for new users.
A user-friendly interface is needed to democratize QTL analysis for novice researchers.

Purpose of the Study:

To introduce J/qtl, a graphical user interface (GUI) for R/qtl.
To provide a comprehensive guide for analyzing rodent cross data using J/qtl.
To empower novice users to perform complex QTL analyses.

Main Methods:

Description of J/qtl's features and workflow.
Step-by-step instructions for data formatting and quality control.
Guidance on performing main scan QTL, pair scan QTL, and multiple regression analyses.

Main Results:

J/qtl simplifies the process of QTL analysis for rodent crosses.
The described methods enable users to identify QTL associated with specific phenotypes.
Novice users can effectively utilize J/qtl for genetic mapping studies.

Conclusions:

J/qtl significantly lowers the barrier to entry for R/qtl usage.
The J/qtl interface facilitates the identification of genetic determinants of traits in rodent models.
This resource empowers a broader range of researchers to conduct genetic analyses.