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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...
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Dihybrid Crosses01:18

Dihybrid Crosses

Overview
X-linked Traits01:19

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”.

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Related Experiment Video

Updated: Jul 12, 2026

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

Parameters of quantitative trait loci.

Jian Yan1, Weikuan Gu

  • 1Department of Orthopedics Surgery, Campbell Clinic, University of Tennessee Health Science Center, Memphis, TN, USA.

Critical Reviews in Eukaryotic Gene Expression
|August 30, 2007
PubMed
Summary

Understanding the genetic basis of complex diseases is crucial. This review covers quantitative trait locus (QTL) mapping methods, challenges, and advancements for identifying genes influencing medically relevant traits.

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Related Experiment Videos

Last Updated: Jul 12, 2026

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

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

Area of Science:

  • Genetics
  • Medical Genetics
  • Genomics

Background:

  • Many medically relevant traits exhibit quantitative inheritance.
  • Dissecting these traits is challenging due to low penetrance and complex gene-gene/gene-environment interactions.

Purpose of the Study:

  • To summarize the current status of medical quantitative trait locus (QTL) mapping.
  • To describe the methodologies, limitations, and successes in detecting and characterizing QTLs.

Main Methods:

  • Review of existing literature and methodologies in QTL mapping.
  • Discussion of emerging genome resources and technologies.

Main Results:

  • Quantitative trait locus (QTL) mapping is advancing due to new technologies.
  • Systematic investigation of genetic architecture is becoming more efficient.

Conclusions:

  • QTL mapping is a key approach for understanding the genetic architecture of complex diseases.
  • Continued advancements in genomics will further enhance the detection and characterization of QTLs.