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Related Experiment Video

Updated: Jun 4, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Microarrays for personalized genomic medicine.

Ching-Wan Lam¹, Kin-Chong Lau, Sui-Fan Tong

¹Department of Pathology, The University of Hong Kong, Queen Mary Hospital, Hong Kong, China.

Advances in Clinical Chemistry

|February 1, 2011

Summary

High-density single nucleotide polymorphism (SNP) arrays efficiently identify genetic markers for complex diseases. These arrays enable precise detection of structural changes, aiding in diagnosis, prognosis, and personalized genomic medicine.

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

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Published on: June 21, 2018

Area of Science:

Genomics
Medical Genetics
Bioinformatics

Background:

Single nucleotide polymorphisms (SNPs) are valuable markers for Mendelian diseases and complex traits.
High-density SNP arrays offer high resolution for detecting subtle genetic variations.
Conventional cytogenetic methods may miss small structural changes relevant to disease prognosis and diagnosis.

Purpose of the Study:

To review the applications of genome-wide SNP genotyping.
To highlight the utility of SNP arrays in identifying homozygous regions in consanguineous families for mutation analysis.
To discuss the role of SNP analysis in personalized genomic medicine and understanding population genetic heterogeneity.

Main Methods:

Utilizing SNP databases in conjunction with high-density SNP arrays.
Genome-wide SNP genotyping for detecting homozygous candidate regions.
Reviewing existing literature on SNP array applications in genetic studies.

Main Results:

SNP arrays facilitate efficient identification of polymorphic markers for complex genetic disorders.
High-resolution SNP arrays enable detection of minute structural variations missed by older techniques.
Accurate SNP mapping supports genotype-phenotype correlations and prenatal diagnostics.

Conclusions:

Genome-wide SNP genotyping is a powerful tool for genetic research and clinical applications.
SNP analysis aids in personalized genomic medicine and effective clinical management strategies.
Understanding genetic heterogeneity across diverse populations is crucial for tailored healthcare.