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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...
Genome-wide Association Studies-GWAS01:11

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...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
Quantitative Analysis01:12

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the method...
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism

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Related Experiment Video

Updated: Jul 2, 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

Analysis of quantitative trait loci.

Mario Falchi1

  • 1Twin Research and Genetic Epidemiology Unit, King's College London School of Medicine, London, United Kingdom.

Methods in Molecular Biology (Clifton, N.J.)
|August 21, 2008
PubMed
Summary

Mapping complex genetic diseases requires identifying intermediate phenotypes. Quantitative trait locus mapping helps unravel the genetic basis of these phenotypes, advancing our understanding of disease inheritance.

Area of Science:

  • Human genetics
  • Complex disease inheritance
  • Quantitative trait locus mapping

Background:

  • Complex diseases involve multiple interacting genetic and environmental factors.
  • Etiological heterogeneity complicates the study of inheritance patterns and gene mapping.
  • Quantitative phenotypes (intermediate phenotypes) can be more homogeneous than the disease itself.

Purpose of the Study:

  • To introduce strategies for mapping quantitative trait loci (QTL) in humans.
  • To highlight the importance of intermediate phenotypes in studying complex diseases.

Main Methods:

  • Review of classical and recent quantitative trait locus mapping strategies.
  • Focus on identifying and utilizing intermediate phenotypes for genetic studies.

More Related Videos

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Related Experiment Videos

Last Updated: Jul 2, 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

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Main Results:

  • Quantitative trait locus mapping is a popular method for understanding the genetic basis of intermediate phenotypes.
  • Careful selection of intermediate phenotypes aids in overcoming etiological heterogeneity.

Conclusions:

  • Quantitative trait locus mapping is crucial for dissecting the genetic architecture of complex diseases.
  • Utilizing intermediate phenotypes enhances the feasibility of gene-mapping studies for inherited conditions.