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Related Concept Videos

Pedigree Analysis01:35

Pedigree Analysis

Overview
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...
Sex-linked Disorders01:43

Sex-linked Disorders

Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
Multiple Allele Traits01:49

Multiple Allele Traits

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Multiple Allele Traits01:49

Multiple Allele Traits

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Related Experiment Video

Updated: Jun 19, 2026

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction
10:41

Why Quantification Matters: Characterization of Phenotypes at the Drosophila Larval Neuromuscular Junction

Published on: May 12, 2016

Common disorders are quantitative traits.

Robert Plomin1, Claire M A Haworth, Oliver S P Davis

  • 1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, London SE5 8AF, UK. Robert.Plomin@kcl.ac.uk

Nature Reviews. Genetics
|October 28, 2009
PubMed
Summary
This summary is machine-generated.

Quantitative and molecular genetics are merging in genome-wide association studies. This research reveals complex traits and disorders stem from many small-effect genes, offering new diagnostic and treatment insights.

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Last Updated: Jun 19, 2026

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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

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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

Area of Science:

  • Genetics and Genomics
  • Complex Trait Heritability
  • Disease Etiology

Background:

  • Historically, quantitative genetics and molecular genetics have operated as separate fields.
  • Genome-wide association (GWA) studies represent a convergence point for these disciplines.
  • Understanding the genetic basis of complex traits and common disorders remains a significant challenge.

Purpose of the Study:

  • To highlight the integration of quantitative and molecular genetics within GWA research.
  • To present a polygenic framework for understanding trait and disorder heritability.
  • To emphasize the implications of studying quantitative trait distributions for clinical applications.

Main Methods:

  • Review and synthesis of recent genome-wide association (GWA) research findings.
  • Application of a polygenic framework to interpret complex traits and disorders.
  • Analysis of quantitative trait distributions, including extreme phenotypes.

Main Results:

  • GWA research supports a polygenic model where complex traits and common disorders are influenced by numerous genes with small effect sizes.
  • Qualitative disorders can be conceptualized as extreme manifestations of underlying quantitative trait dimensions.
  • Heritability of complex traits is attributed to the cumulative effect of multiple genes.

Conclusions:

  • The convergence of quantitative and molecular genetics in GWA research provides a robust framework for understanding genetic architecture.
  • Viewing disorders as extremes of quantitative traits has significant implications for diagnosis, treatment, and prevention strategies.
  • Further research into quantitative traits, encompassing the full spectrum of normal variation, is crucial for advancing precision medicine.