Related Experiment Video
Updated: Mar 20, 2026

08:16
Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
7.3K
Non-invasive comparative study of HLA genotyping between urinary and blood DNA using sequencing-based typing and
Cheng Yan Fan1, Yu Jie Wen1, Dong Mei Li1
1HLA Laboratory, Beijing Red Cross Blood Center, Beijing, China.
Advances in Laboratory Medicine
|March 19, 2026
Summary
Urinary DNA offers a noninvasive method for high-resolution human leukocyte antigen (HLA) genotyping, achieving 100% concordance with blood-based methods. This validates urine as a viable alternative for HLA profiling.
Area of Science:
- Genetics and Molecular Biology
- Immunology
- Clinical Diagnostics
Background:
- High-resolution human leukocyte antigen (HLA) genotyping is crucial for transplantation and autoimmune disease research.
- Conventional methods rely on blood samples, which can be invasive and challenging for certain patient populations.
- Exploring noninvasive alternatives like urinary DNA is essential for improving accessibility and patient comfort.
Purpose of the Study:
- To assess the feasibility of using urinary DNA for high-resolution HLA genotyping.
- To validate the concordance of HLA genotyping results from urine DNA compared to traditional blood DNA methods.
- To establish urine as a clinically viable source for HLA profiling.
Main Methods:
- Collected matched urine and blood samples from 11 healthy volunteers.
- Optimized a column-based protocol for urinary DNA extraction and used an automated system for blood DNA.
- Performed high-resolution HLA typing (HLA-A, -B, -C, -DRB1, -DQB1) using sequencing-based typing (SBT) and third-generation sequencing (TGS).
Main Results:
- Urinary DNA concentrations were lower than blood DNA (9.74 vs. 33.13 ng/μL) but had comparable purity (OD 260/280 ratio: 1.65 vs. 1.81).
- Both SBT and TGS demonstrated 100% concordance between urine- and blood-derived HLA genotypes across five classical loci.
- TGS successfully resolved full-length HLA sequences (5'UTR-3'UTR) with high coverage (≥30×).
Conclusions:
- Urinary DNA provides blood-comparable accuracy for noninvasive HLA genotyping.
- An optimized protocol effectively addresses DNA yield and purity limitations.
- Urine is established as a clinically viable alternative for HLA profiling, particularly when blood sampling is difficult.
Related Concept Videos
Modern Molecular Taxonomy
823
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
823
Evolutionary Relationships through Genome Comparisons
7.2K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.2K
Next-generation Sequencing
100.7K
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....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
100.7K

