Editorial Acesso aberto Revisado por pares

Radiogenomics: Radiobiology Enters the Era of Big Data and Team Science

2014; Elsevier BV; Volume: 89; Issue: 4 Linguagem: Inglês

10.1016/j.ijrobp.2014.03.009

ISSN

1879-355X

Autores

Barry S. Rosenstein, Catharine West, Søren M. Bentzen, Jan Alsner, Christian Nicolaj Andreassen, D. Azria, Gillian C. Barnett, Michaël Baumann, N.G. Burnet, Jenny Chang-Claude, Eric Y. Chuang, Charlotte E. Coles, André Dekker, Kim De Ruyck, Dirk De Ruysscher, Karen Drumea, Alison M. Dunning, Douglas F. Easton, Rosalind A. Eeles, Laura Fachal, Sara Gutiérrez‐Enríquez, Karin Haustermans, Luis Alberto Henríquez‐Hernández, Takashi Imai, George D.D. Jones, Sarah L. Kerns, Zhongxing Liao, Kenan Onel, Harry Ostrer, Matthew Parliament, Paul D.P. Pharoah, Timothy R. Rebbeck, Chris J. Talbot, Hubert Thierens, Ana Vega, Esther M. John, Philip Wong, Frédéric Zenhausern,

Tópico(s)

Ethics in Clinical Research

Resumo

Radiogenomics is the study of the link between germ line genotypic variations and the large clinical variability observed in response to radiation therapy. The radiogenomics hypothesis is that a proportion of the variance in the phenotype of interest—radiation toxicity—is explained by genotypic variation. Thus, the aim of radiogenomics is to identify the alleles that underlie the inherited dissimilarities in phenotype. However, this hypothesis does not assume that all of the phenotypic differences are due to germ line genetic alterations, but it acknowledges that epigenetic changes (inherited and acquired) and other factors could also be important.

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