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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

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Related Experiment Video

Updated: Jul 7, 2026

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

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Published on: May 6, 2010

On the challenges of the HapMap resource.

Wei Zhang1, M Eileen Dolan

  • 1Section of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.

Bioinformation
|March 5, 2008
PubMed
Summary
This summary is machine-generated.

The International HapMap Project offers valuable human genetic data. Future research using this resource can yield deeper insights into complex traits and diseases by addressing current challenges.

Keywords:
HapMapgene expressiongenotypelymphoblastoid cell linessingle nuceotide polymorphism

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Area of Science:

  • Human Genetics
  • Genomics
  • Population Genetics

Background:

  • The International HapMap Project established a public resource of human genetic variation.
  • Genotypic data from diverse populations (European, African, Chinese, Japanese) are available.
  • This resource links genetic data with phenotypic information for disease and drug response research.

Purpose of the Study:

  • To highlight the utility of the HapMap resource in genetic research.
  • To identify challenges and confounding variables for future studies.
  • To enhance understanding of the human genome, complex traits, and disease susceptibility.

Main Methods:

  • Utilized genotypic data from the International HapMap Project.
  • Associated genetic variations with phenotypic data.
  • Reviewed existing literature and identified research challenges.

Main Results:

  • The HapMap resource has significantly advanced gene expression variation studies.
  • Intrinsic limitations and research challenges were identified.
  • Consideration of confounding variables is crucial for accurate interpretation.

Conclusions:

  • Overcoming identified challenges will provide deeper insights into the human genome.
  • Future research can improve understanding of complex traits like drug response and disease susceptibility.
  • The HapMap resource remains a critical tool for genetic research.