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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology
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HLA-HD: An accurate HLA typing algorithm for next-generation sequencing data.

Shuji Kawaguchi1, Koichiro Higasa1, Masakazu Shimizu1

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

Human Mutation
|April 19, 2017
PubMed
Summary
This summary is machine-generated.

Accurate human leukocyte antigen (HLA) typing is crucial for medicine. A new algorithm using next-generation sequencing (NGS) improves HLA allele determination accuracy, outperforming existing methods.

Keywords:
HLA genegenotypingnext-generation sequencingsoftware

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Area of Science:

  • Immunogenetics
  • Genomic Medicine
  • Bioinformatics

Background:

  • Accurate human leukocyte antigen (HLA) allele typing is essential for genomic studies of multifactorial diseases and for donor selection in transplantation.
  • Current HLA typing technologies have limitations that can impact medical applications.
  • Next-generation sequencing (NGS) offers potential for improved HLA typing accuracy.

Purpose of the Study:

  • To develop a novel algorithm for precise HLA allele determination using next-generation sequencing (NGS) data.
  • To enhance the accuracy of HLA typing beyond current standards.
  • To identify and characterize novel or ambiguous HLA sequences.

Main Methods:

  • Development of a new algorithm integrating an extensive HLA allele dictionary and precise NGS read mapping.
  • Calculation of allele pair scores based on weighted read counts, considering variations both inside and outside the G-DOMAIN.
  • Assembly of NGS reads to determine the genomic sequence of an HLA-A-like-pseudogene.

Main Results:

  • The algorithm achieved 6-digit precision in HLA allele typing.
  • The developed method demonstrated higher accuracy compared to other NGS-based approaches.
  • The complete genomic sequence of an HLA-Y*02:01 pseudogene was identified, improving HLA-A typing accuracy when included in the dictionary.

Conclusions:

  • The novel algorithm significantly improves the accuracy of HLA allele typing using NGS data.
  • This method overcomes limitations of conventional HLA typing and enhances its utility in clinical and research settings.
  • The identification of the HLA-Y*02:01 pseudogene highlights the importance of comprehensive allele dictionaries for precise genetic typing.