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Related Concept Videos

Mortar01:29

Mortar

Mortar, a mixture of Portland cement, hydrated lime, sand, and water, is a crucial binding material in construction. Its primary function is to join masonry units together, filling gaps and ensuring a uniform distribution of weight across the structure. This helps in preventing potential weaknesses. Mortar also serves as a protective barrier against environmental elements such as water and wind, thereby safeguarding the interior of the structure. It also compensates for surface irregularities...
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Updated: May 15, 2026

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

Overview of admixture mapping.

Daniel Shriner1

  • 1Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, USA.

Current Protocols in Human Genetics
|January 15, 2013
PubMed
Summary
This summary is machine-generated.

Admixture mapping is a powerful gene mapping tool for identifying disease risks linked to ancestry. Recent advancements enhance its application in diverse populations, integrating with association testing for comprehensive genetic analysis.

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Area of Science:

  • Genetics
  • Population Genetics
  • Bioinformatics

Background:

  • Admixture mapping identifies genetic variants associated with disease risk in populations with mixed ancestry.
  • It is particularly useful for populations like African Americans with European and West African heritage.
  • Recent advancements extend its utility to multi-ancestry populations, such as Latino Americans.

Purpose of the Study:

  • To outline the fundamental concepts of admixture mapping.
  • To describe methods for inferring local ancestry and strategies for performing admixture mapping.
  • To compare admixture mapping with linkage and association analyses, focusing on integration.

Main Methods:

  • Review of admixture mapping principles and techniques.
  • Description of local ancestry inference algorithms.
  • Comparative analysis of different gene mapping strategies.

Main Results:

  • Admixture mapping effectively detects disease-associated genetic loci influenced by ancestry.
  • Improved methods accommodate higher genetic marker densities and more complex ancestral backgrounds.
  • Integration of admixture mapping with association testing offers a more robust approach.

Conclusions:

  • Admixture mapping is a valuable tool for genetic studies in admixed populations.
  • The method has evolved to handle complex population structures and dense genetic data.
  • Combining admixture mapping with association testing enhances the power to identify disease-related genes.