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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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...
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Single Nucleotide Polymorphisms-SNPs01:05

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Comparing Copy Number Variations and SNPs02:26

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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The Concept of Multiple Allelism
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X-linked Traits01:19

X-linked Traits

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In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.
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Gene Conversion02:08

Gene Conversion

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Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
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Related Experiment Video

Updated: Feb 17, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Local ancestry transitions modify snp-trait associations.

Alexandra E Fish1, Dana C Crawford, John A Capra

  • 1Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN 37235, USA, ²Departments of Biological Sciences, Biomedical Informatics, and Computer Science, Vanderbilt University, Nashville, TN 37235, USA, alex.fish@vanderbilt.edu.

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Summary

Local ancestry transitions reveal how genetic variants impact health. A new model identified interactions influencing metabolic traits, like rs16890640 affecting red blood cell measures.

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Area of Science:

  • Genomics
  • Population Genetics
  • Human Health

Background:

  • Admixed individuals possess unique genetic structures called local ancestry transitions.
  • These transitions offer insights into the combined effects of alleles from different ancestral populations on health outcomes.

Purpose of the Study:

  • To investigate the influence of genetic variants within local ancestry transitions on metabolic traits.
  • To develop a model for identifying interactions between variants and local ancestry.

Main Methods:

  • Analysis of genomic data from nearly 10,000 adults of African ancestry using the Metabochip.
  • Development of a statistical model incorporating single variants and local ancestry.
  • Identification of significant variant-ancestry interactions affecting metabolic traits.

Main Results:

  • A novel model successfully identified interactions between local ancestry transitions and nearby genetic variants.
  • The minor allele of rs16890640, on a European background with a downstream African ancestry transition, significantly lowered mean corpuscular hemoglobin and volume.
  • Molecular data supports the role of local ancestry in influencing chromatin looping.

Conclusions:

  • Local ancestry transitions provide a novel framework for discovering gene-environment interactions.
  • This approach can uncover new genetic mechanisms influencing complex traits and diseases.
  • Findings suggest that changes in local ancestry can impact gene regulation and health.