Genetic markers for prediction of normal tissue toxicity after radiotherapy

Jan Alsner; Christian Nicolaj Andreassen; Jens Overgaard

doi:10.1016/j.semradonc.2007.10.004

Genetic markers for prediction of normal tissue toxicity after radiotherapy

Authors:

Alsner, Jan ;
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0000-0002-5395-3193
Department of Clinical Medicine - Department of Experimental Clinical Oncology, Department of Clinical Medicine, Health, Aarhus University
Andreassen, Christian Nicolaj ;
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Department of Experimental Clinical Oncology, Faculty of Health Sciences, Aarhus University, Aarhus University
Overgaard, Jens
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Department of Clinical Medicine - Department of Experimental Clinical Oncology, Department of Clinical Medicine, Health, Aarhus University

DOI:

10.1016/j.semradonc.2007.10.004

Abstract:

During the last decade, a number of studies have supported the hypothesis that there is an important genetic component to the observed interpatient variability in normal tissue toxicity after radiotherapy. This review summarizes the candidate gene association studies published so far on the risk of radiation-induced morbidity and highlights some recent successful whole-genome association studies showing feasibility in other research areas. Future genetic association studies are discussed in relation to methodological problems such as the characterization of clinical and biological phenotypes, genetic haplotypes, and handling of confounding factors. Finally, candidate gene studies elucidating the genetic component of radiation-induced morbidity and the functional consequences of single nucleotide polymorphisms by studying intermediate phenotypes will be discussed. Udgivelsesdato: 2008-Apr

Type:

Journal article

Language:

English

Published in:

Seminars in Radiation Oncology, 2008, Vol 18, Issue 2, p. 126-35

Main Research Area:

Medical science

Publication Status:

Published

Review type:

Peer Review

Submission year:

2008

Scientific Level:

Scientific

ID:

31735448

Genetic markers for prediction of normal tissue toxicity after radiotherapy

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