Related Experiment Video
Updated: Apr 5, 2026

05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
10.8K
Genotyping of Single Nucleotide Polymorphisms in DNA Isolated from Serum Using Sequenom MassARRAY Technology
Tess V Clendenen1, Justin Rendleman1, Wenzhen Ge1
1Department of Population Health, New York University School of Medicine, New York, New York, United States of America.
Plos One
|August 15, 2015
Summary
DNA from serum can reliably genotype single nucleotide polymorphisms (SNPs) in large epidemiologic studies. This method offers a viable alternative when high-quality DNA sources are limited, ensuring accurate genetic analysis.
Area of Science:
- Genetics and Genomics
- Epidemiology
- Biotechnology
Background:
- Large epidemiologic studies require extensive exposure data for gene-environment interaction assessment.
- Limited DNA quantity from serum or plasma samples poses a challenge in these studies.
Purpose of the Study:
- To evaluate the reliability and accuracy of genotyping single nucleotide polymorphisms (SNPs) using DNA isolated from serum.
- To assess the feasibility of using serum DNA for large-scale genetic studies.
Main Methods:
- Genotyping of 81 SNPs using Sequenom multiplex SNP genotyping technology.
- Comparison of DNA from serum with DNA from high-quality sources (clots, cell precipitates) from 158 participants.
- Analysis of call frequencies and genotype concordance across different sample types.
Main Results:
- 74% of SNPs achieved high call frequencies (≥95%) with serum DNA, comparable to clot/precipitate DNA (85%).
- 95% of SNPs showed high genotype concordance (>98%) across serum, clot, and precipitate DNA.
- High DNA purity was not essential for successful genotyping.
Conclusions:
- Multiplex SNP genotyping using DNA from serum is reliable for large-scale epidemiologic studies.
- Serum DNA provides a practical alternative for genetic analysis when high-quality DNA is scarce.
Related Concept Videos
DNA Microarrays
23.0K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
23.0K
RNA-seq
12.6K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.6K
Sanger Sequencing
779.2K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
779.2K

