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Selected technologies for measuring acquired genetic damage in humans
Author(s) -
Shuga Joe,
Zeng Yong,
Novak Richard,
Mathies Richard A.,
Hainaut Pierre,
Smith Martyn T.
Publication year - 2010
Publication title -
environmental and molecular mutagenesis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1
H-Index - 87
eISSN - 1098-2280
pISSN - 0893-6692
DOI - 10.1002/em.20630
Subject(s) - biology , genetics , genome , mendelian inheritance , computational biology , mutagenesis , mutation , germline mutation , disease , gene , medicine , pathology
Technical advances have improved the capacity to detect and quantify genetic variants, providing novel methods for the detection of rare mutations and for better understanding the underlying environmental factors and biological mechanisms contributing to mutagenesis. The polymerase chain reaction (PCR) has revolutionized genetic testing and remains central to many of these new techniques for mutation detection. Millions of genetic variations have been discovered across the genome. These variations include germline mutations and polymorphisms, which are inherited in a Mendelian manner and present in all cells, as well as acquired, somatic mutations that differ widely by type and size [from single‐base mutations to whole chromosome rearrangements, and including submicroscopic copy number variations (CNVs)]. This review focuses on current methods for assessing acquired somatic mutations in the genome, and it examines their application in molecular epidemiology and sensitive detection and analysis of disease. Although older technologies have been exploited for detecting acquired mutations in cancer and other disease, the high‐throughput and high‐sensitivity offered by next‐generation sequencing (NGS) systems are transforming the discovery of disease‐associated acquired mutations by enabling comparative whole‐genome sequencing of diseased and healthy tissues from the same individual. Emerging microfluidic technologies are beginning to facilitate single‐cell genetic analysis of target variable regions for investigating cell heterogeneity within tumors as well as preclinical detection of disease. The technologies discussed in this review will significantly expand our knowledge of acquired genetic mutations and causative mechanisms. Environ. Mol. Mutagen., 2010. © 2010 Wiley‐Liss, Inc.