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Related Concept Videos

Polygenic Traits01:18

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 Traits01:18

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...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Incomplete Dominance01:43

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

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Related Experiment Video

Updated: Jun 8, 2026

QTL Mapping and CRISPR/Cas9 Editing to Identify a Drug Resistance Gene in Toxoplasma gondii
11:37

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

Published on: June 22, 2017

QTLminer: identifying genes regulating quantitative traits.

Rudi Alberts1, Klaus Schughart

  • 1Department of Infection Genetics, Helmholtz Centre for Infection Research and University of Veterinary Medicine Hannover, Braunschweig, Germany.

BMC Bioinformatics
|October 19, 2010
PubMed
Summary
This summary is machine-generated.

Identifying candidate genes within quantitative trait locus (QTL) regions is challenging. QTLminer, a bioinformatics tool, automates this analysis, significantly accelerating the discovery of genes regulating complex traits.

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

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Published on: August 13, 2012

Area of Science:

  • Genomics and Bioinformatics
  • Quantitative Trait Locus (QTL) analysis
  • Gene discovery

Background:

  • Quantitative trait locus (QTL) mapping identifies genomic regions associated with complex traits.
  • QTL regions often contain numerous genes, making candidate gene identification laborious.
  • Manual curation of gene information from multiple sources is time-consuming for biologists.

Purpose of the Study:

  • To develop a bioinformatics tool for automated QTL region analysis.
  • To expedite the identification of promising candidate genes within QTL intervals.
  • To integrate diverse genetic information for efficient gene discovery.

Main Methods:

  • Developed QTLminer, a bioinformatics tool for automated QTL region analysis.
  • Integrated gene annotation, gene expression data, and sequence polymorphisms.
  • QTLminer operates within the GeneNetwork platform.

Main Results:

  • QTLminer automates the analysis of genes within specified genomic intervals.
  • The tool integrates multiple data types, including gene annotation, expression, and polymorphisms.
  • Provides a comprehensive overview of genes within a QTL region.

Conclusions:

  • QTLminer significantly accelerates the discovery of candidate genes in QTL regions.
  • Automated analysis reduces the time and effort required for gene prioritization.
  • Facilitates more efficient research into the genetic basis of quantitative traits.