Abstract
The development of microarray technology has had a significant impact on the genetic analysis of human disease. The recently developed single nucleotide polymorphism (SNP) array can be used to measure both DNA polymorphism and dosage changes. Our laboratory has applied SNP microarray analysis to uncover frequent uniparental disomies and sub-microscopic genomic copy number gains and losses in different cancers. This review will focus on the wide range of applications of SNP microarray analysis to cancer research. SNP array genotyping can determine loss of heterozygosity, genomic copy number changes and DNA methylation alterations of cancer cells. The same technology can also be used to investigate allelic association in cancers. Therefore, it can be applied to the identification of cancer predisposition genes, oncogenes and tumor suppressor genes in specific types of tumors. As a consequence, they have potential in cancer risk assessment, diagnosis, prognosis and treatment selection.
Keywords: SNP array, cancer, genome-wide analysis, genotyping and copy number change
Current Genomics
Title: The Application of Single Nucleotide Polymorphism Microarrays in Cancer Research
Volume: 8 Issue: 4
Author(s): Xueying Mao, Bryan D. Young and Yong-Jie Lu
Affiliation:
Keywords: SNP array, cancer, genome-wide analysis, genotyping and copy number change
Abstract: The development of microarray technology has had a significant impact on the genetic analysis of human disease. The recently developed single nucleotide polymorphism (SNP) array can be used to measure both DNA polymorphism and dosage changes. Our laboratory has applied SNP microarray analysis to uncover frequent uniparental disomies and sub-microscopic genomic copy number gains and losses in different cancers. This review will focus on the wide range of applications of SNP microarray analysis to cancer research. SNP array genotyping can determine loss of heterozygosity, genomic copy number changes and DNA methylation alterations of cancer cells. The same technology can also be used to investigate allelic association in cancers. Therefore, it can be applied to the identification of cancer predisposition genes, oncogenes and tumor suppressor genes in specific types of tumors. As a consequence, they have potential in cancer risk assessment, diagnosis, prognosis and treatment selection.
Export Options
About this article
Cite this article as:
Xueying Mao , Bryan D. Young and Yong-Jie Lu , The Application of Single Nucleotide Polymorphism Microarrays in Cancer Research, Current Genomics 2007; 8 (4) . https://dx.doi.org/10.2174/138920207781386924
DOI https://dx.doi.org/10.2174/138920207781386924 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Epigenetic Modulators as Treatment Alternative to Diverse Types of
Cancer
Current Medicinal Chemistry Mycotherapy of Cancer: An Update on Cytotoxic and Antitumor Activities of Mushrooms, Bioactive Principles and Molecular Mechanisms of their Action
Current Topics in Medicinal Chemistry Potential of Taming MicroRNA on Driver Seat to Control Mitochondrial Horses in Breast Carcinoma
MicroRNA Regulation of Endothelial Cell Death and Its Role in Angiogenesis and Vascular Regression
Current Neurovascular Research Heat Shock Proteins in Cancer: Signaling Pathways, Tumor Markers and Molecular Targets in Liver Malignancy
Protein & Peptide Letters Sanguinarine: A Double-Edged Sword of Anticancer and Carcinogenesis and Its Future Application Prospect
Anti-Cancer Agents in Medicinal Chemistry Chemotherapy Resistance in Breast Cancer
Current Cancer Therapy Reviews The Potential Use of RNA-based Therapeutics for Breast Cancer Treatment
Current Medicinal Chemistry Brief Review of Polymorphic Drug-Metabolizing Enzymes in Japanese Populations: Development of a Higher-Throughput Genotyping Method and Proposed Applications
Drug Metabolism Letters HIF Prolyl-4-hydroxylase Interacting Proteins: Consequences for Drug Targeting
Current Pharmaceutical Design Ubiquitination in Rho Signaling
Current Topics in Medicinal Chemistry TRAIL-Based Therapeutic Approaches for the Treatment of Pediatric Malignancies
Current Medicinal Chemistry Spinal Microvascular Expression of PV-1 is Associated with Inflammation, Perivascular Astrocyte Loss, and Diminished EC Glucose Transport Potential in Acute SCI
Current Neurovascular Research Functional Link between BRCA1 and BAP1 through Histone H2A, Heterochromatin and DNA Damage Response
Current Cancer Drug Targets Triggering PIK3CA Mutations in PI3K/Akt/mTOR Axis: Exploration of Newer Inhibitors and Rational Preventive Strategies
Current Pharmaceutical Design Relationship Between Body Mass Index and Reproduction
Current Women`s Health Reviews Editorial:Tubulin-targeted Cancer Chemotherapeutics: Advances and Challenges
Current Topics in Medicinal Chemistry The Complexities of TGF-β Action During Mammary and Squamous Cell Carcinogenesis
Current Pharmaceutical Biotechnology EGFR and the Complexity of Receptor Crosstalk in the Cardiovascular System
Current Molecular Medicine Understanding Heterogeneity in Supplementation Effects of Selenium in Men: A Study of Stratification Variables and Human Genetics in a Prospective Sample from New Zealand
Current Pharmacogenomics and Personalized Medicine