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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.
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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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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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Overview
Southern Blot02:57

Southern Blot

Agarose gel electrophoresis is very useful in separating DNA fragments by size. Running a DNA ladder containing fragments of the known length alongside the sample helps determine the approximate length of the sample DNA fragments. However, additional steps are needed to verify the sequence identity of the sample DNA fragments.
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Related Experiment Video

Updated: May 21, 2026

Application of DNA Fingerprinting using the D1S80 Locus in Lab Classes
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Inferring separate parental admixture components in unknown DNA samples using autosomal SNPs.

Daniel J M Crouch1, Michael E Weale

  • 1Department of Medical and Molecular Genetics, King's College London, London, UK.

European Journal of Human Genetics : EJHG
|June 29, 2012
PubMed
Summary

New methods infer human DNA ancestral admixture proportions for both individuals and their unobserved parents. This aids forensic investigations by revealing parental genetic backgrounds, enhancing case sample analysis.

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Area of Science:

  • Genetics
  • Forensic Science
  • Population Genetics

Background:

  • Ancestral admixture proportion identification is crucial in forensic investigations.
  • Current methods focus on target samples, omitting valuable parental admixture data.
  • Inferring parental admixture offers enhanced information for forensic casework.

Purpose of the Study:

  • To develop and validate maximum likelihood methods for inferring individual and parental admixture proportions.
  • To utilize single-nucleotide polymorphism (SNP) data from target individuals only.
  • To assess the utility of these methods in forensic investigations.

Main Methods:

  • Developed LEAPFrOG and LEAPFrOG Expectation Maximisation algorithms.
  • Employed simulations using Hapmap Phase III population samples for validation.
  • Analyzed African-American trios to compare inferred parental admixture with offspring genotypes.

Main Results:

  • Methods successfully inferred individual and parental admixture proportions.
  • Strong performance observed for African/European (YRI/CEU) ancestry.
  • Poor performance for closely related Japanese/Chinese (JPT/CHB) ancestry.
  • Estimates were unreliable with similar parental admixture, indicating a need for more markers.

Conclusions:

  • Ancestral backgrounds of forensic case samples and their parents can be determined.
  • These methods can significantly aid forensic investigations.
  • Adoption of high-throughput methods by the forensic community is recommended.