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Related Concept Videos

Pleiotropy01:33

Pleiotropy

Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
Epistasis01:39

Epistasis

In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
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...
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...

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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The many faces of pleiotropy.

Annalise B Paaby1, Matthew V Rockman

  • 1Department of Biology and Center for Genomics & Systems Biology, New York University, 12 Waverly Place, New York, NY 10003, USA.

Trends in Genetics : TIG
|November 13, 2012
PubMed
Summary

Single genes affecting multiple traits (pleiotropy) is a key concept in genetics. However, diverse interpretations of pleiotropy hinder research, necessitating clear definitions for empirical data analysis.

Area of Science:

  • Genetics
  • Molecular Biology
  • Evolutionary Biology
  • Medicine

Background:

  • Pleiotropy, where a single gene influences multiple traits, is fundamental to genetics and medicine.
  • Genomic advancements have spurred investigation into pleiotropy's nature and scope.
  • Existing research faces challenges due to varied interpretations of pleiotropy.

Purpose of the Study:

  • To delineate distinct applications of the pleiotropy concept.
  • To identify and explain challenges in applying empirical data to pleiotropy research.
  • To advocate for conceptual clarity in pleiotropy studies.

Main Methods:

  • Conceptual analysis of the pleiotropy concept.
  • Review of existing literature on pleiotropy.

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  • Identification of ambiguities in pleiotropy definitions.
  • Main Results:

    • Multiple, often conflicting, interpretations of pleiotropy exist.
    • Ambiguous definitions complicate the application of genomic data.
    • Lack of precise definition leads to research inconsistencies.

    Conclusions:

    • Conceptual clarity is essential for advancing pleiotropy research.
    • Researchers must precisely define 'pleiotropy' for their specific context.
    • The key to understanding pleiotropy lies in defining what is meant by the term.