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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Genome-wide Association Studies-GWAS01:11

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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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Personalized Peptide Arrays for Detection of HLA Alloantibodies in Organ Transplantation
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Comprehensive HLA Typing from a Current Allele Database Using Next-Generation Sequencing Data.

Shuji Kawaguchi1, Koichiro Higasa1, Ryo Yamada1

  • 1Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Methods in Molecular Biology (Clifton, N.J.)
|June 22, 2024
PubMed
Summary
This summary is machine-generated.

Accurate Human Leukocyte Antigen (HLA) typing is crucial for disease research and transplantation. A new method, HLA-HD, uses next-generation sequencing to determine HLA alleles from current databases.

Keywords:
BioinformaticsDatabaseHLA typingHLA-HDNGSSoftware

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Area of Science:

  • Immunogenetics
  • Genomic Medicine

Background:

  • Human Leukocyte Antigen (HLA) allele information is critical for understanding multifactorial diseases, particularly those involving the immune system and inflammation.
  • Accurate HLA typing is also vital for successful organ transplantation and advancements in regenerative medicine.

Purpose of the Study:

  • To develop and present an accurate HLA typing method capable of identifying any allele within current HLA databases.
  • To address the need for a reliable HLA typing solution for diverse medical applications.

Main Methods:

  • The study introduces HLA-HD, a novel method for HLA allele determination.
  • This method leverages next-generation sequencing (NGS) data.
  • HLA-HD utilizes current HLA allele databases for comprehensive analysis.

Main Results:

  • The HLA-HD method provides accurate HLA typing.
  • It is applicable to the full spectrum of alleles registered in HLA databases.
  • The method is designed to work with next-generation sequencing results.

Conclusions:

  • The developed HLA-HD method offers an accurate approach for HLA allele determination.
  • This advancement supports critical medical applications like genomic disease studies and transplantation matching.
  • HLA-HD is a valuable tool for researchers and clinicians utilizing HLA data.