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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

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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 3, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
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Published on: August 12, 2019

Bayesian multiple quantitative trait loci mapping for recombinant inbred intercrosses.

Zhongshang Yuan1, Fei Zou, Yanyan Liu

  • 1School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China.

Genetics
|March 10, 2011
PubMed
Summary
This summary is machine-generated.

We developed a Bayesian method for mapping multiple genes controlling complex traits in Recombinant Inbred Intercross (RIX) mice. This approach accounts for RIX genetic structure, improving accuracy in genetic studies.

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Last Updated: Jun 3, 2026

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
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Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

Area of Science:

  • Genetics
  • Bioinformatics
  • Statistical Genetics

Background:

  • The Collaborative Cross (CC) provides a mouse model for human genetic diversity.
  • Recombinant Inbred Intercrosses (RIX) derived from CC lines offer reproducible genetic structures similar to F(2) individuals.
  • RIX genotypes can be inferred from parental lines, but unbalanced genetic relatedness necessitates advanced statistical methods.

Purpose of the Study:

  • To develop a Bayesian quantitative trait locus (QTL) mapping method for simultaneously identifying multiple genes in RIX populations.
  • To address the unique genetic architecture of RIX, including unbalanced genetic relatedness.
  • To provide guidelines for optimizing RIX study designs through simulation.

Main Methods:

  • Developed a Bayesian statistical framework for multi-gene QTL mapping.
  • The method is specifically designed to handle the genetic properties of RIX populations.
  • Extensive simulations were used to evaluate the performance of the proposed method.

Main Results:

  • The Bayesian method effectively maps multiple genes simultaneously in RIX populations.
  • The developed approach accounts for the unbalanced genetic relatedness inherent in RIX.
  • Simulations confirmed the method's performance and provided insights into optimal RIX design strategies.

Conclusions:

  • The new Bayesian QTL mapping method is suitable for analyzing complex traits in RIX populations.
  • This method enhances the power of genetic studies using RIX resources.
  • The study offers practical guidance for future research utilizing Recombinant Inbred Intercrosses.