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Related Concept Videos

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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,...
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...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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%...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

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Related Experiment Video

Updated: Jun 5, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Predicting multiallelic genes using unphased and flanking single nucleotide polymorphisms.

Shuying S Li1, Hongwei Wang, Anajane Smith

  • 1Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024, USA.

Genetic Epidemiology
|January 22, 2011
PubMed
Summary

We developed a new method to predict highly polymorphic alleles using unphased SNP data. This approach accurately predicts human leukocyte antigen (HLA) alleles, advancing genetic research and population studies.

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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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Last Updated: Jun 5, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Area of Science:

  • Genetics
  • Bioinformatics
  • Population Genetics

Background:

  • Genomewide association studies (GWAS) are advancing the understanding of complex traits.
  • Identifying functional gene alleles, beyond single nucleotide polymorphisms (SNPs), is crucial for biological interpretation.
  • Previous methods, like the IBD-based approach, have shown success in predicting human leukocyte antigen (HLA) alleles.

Purpose of the Study:

  • To introduce a complementary method for predicting highly polymorphic alleles using unphased SNP data.
  • To develop and validate predictive models for specific HLA alleles (HLA-A, B, C, DRB1, DQB1).
  • To demonstrate the method's applicability to large population studies.

Main Methods:

  • Utilized unphased SNP data as a training dataset.
  • Constructed predictive models for HLA-A, B, C, DRB1, and DQB1 using a cohort of 630 healthy individuals.
  • Validated the predictive models on a separate cohort of 630 healthy individuals.

Main Results:

  • Achieved high predictive accuracies for various HLA alleles at intermediate and high resolutions.
  • Specific accuracies included: HLA-A (100%, 97%), B (98%, 96%), C (98%, 98%), DRB1 (97%, 96%), and DQB1 (98%, 95%).
  • The method demonstrated generality and flexibility, suitable for large population studies.

Conclusions:

  • The developed method is effective for predicting highly polymorphic alleles from unphased SNP data.
  • The high accuracy in predicting HLA alleles suggests feasibility for other polymorphic genetic alleles.
  • This approach has significant implications for genetic research and understanding complex traits.