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Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster

BACKGROUND: Ionizing radiation is genotoxic to cells. Healthy tissue toxicity in patients and radiation resistance in tumors present common clinical challenges in delivering effective radiation therapies. Radiation response is a complex, polygenic trait with unknown genetic determinants. The Drosoph...

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Autores principales: Vaisnav, Mahesh, Xing, Chao, Ku, Hung-Chih, Hwang, Daniel, Stojadinovic, Strahinja, Pertsemlidis, Alexander, Abrams, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133248/
https://www.ncbi.nlm.nih.gov/pubmed/25121966
http://dx.doi.org/10.1371/journal.pone.0104858
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author Vaisnav, Mahesh
Xing, Chao
Ku, Hung-Chih
Hwang, Daniel
Stojadinovic, Strahinja
Pertsemlidis, Alexander
Abrams, John M.
author_facet Vaisnav, Mahesh
Xing, Chao
Ku, Hung-Chih
Hwang, Daniel
Stojadinovic, Strahinja
Pertsemlidis, Alexander
Abrams, John M.
author_sort Vaisnav, Mahesh
collection PubMed
description BACKGROUND: Ionizing radiation is genotoxic to cells. Healthy tissue toxicity in patients and radiation resistance in tumors present common clinical challenges in delivering effective radiation therapies. Radiation response is a complex, polygenic trait with unknown genetic determinants. The Drosophila Genetic Reference Panel (DGRP) provides a model to investigate the genetics of natural variation for sensitivity to radiation. METHODS AND FINDINGS: Radiation response was quantified in 154 inbred DGRP lines, among which 92 radiosensitive lines and 62 radioresistant lines were classified as controls and cases, respectively. A case-control genome-wide association screen for radioresistance was performed. There are 32 single nucleotide polymorphisms (SNPs) associated with radio resistance at a nominal p<10(−5); all had modest effect sizes and were common variants with the minor allele frequency >5%. All the genes implicated by those SNP hits were novel, many without a known role in radiation resistance and some with unknown function. Variants in known DNA damage and repair genes associated with radiation response were below the significance threshold of p<10(−5) and were not present among the significant hits. No SNP met the genome-wide significance threshold (p = 1.49×10(−7)), indicating a necessity for a larger sample size. CONCLUSIONS: Several genes not previously associated with variation in radiation resistance were identified. These genes, especially the ones with human homologs, form the basis for exploring new pathways involved in radiation resistance in novel functional studies. An improved DGRP model with a sample size of at least 265 lines and ideally up to 793 lines is recommended for future studies of complex traits.
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spelling pubmed-41332482014-08-19 Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster Vaisnav, Mahesh Xing, Chao Ku, Hung-Chih Hwang, Daniel Stojadinovic, Strahinja Pertsemlidis, Alexander Abrams, John M. PLoS One Research Article BACKGROUND: Ionizing radiation is genotoxic to cells. Healthy tissue toxicity in patients and radiation resistance in tumors present common clinical challenges in delivering effective radiation therapies. Radiation response is a complex, polygenic trait with unknown genetic determinants. The Drosophila Genetic Reference Panel (DGRP) provides a model to investigate the genetics of natural variation for sensitivity to radiation. METHODS AND FINDINGS: Radiation response was quantified in 154 inbred DGRP lines, among which 92 radiosensitive lines and 62 radioresistant lines were classified as controls and cases, respectively. A case-control genome-wide association screen for radioresistance was performed. There are 32 single nucleotide polymorphisms (SNPs) associated with radio resistance at a nominal p<10(−5); all had modest effect sizes and were common variants with the minor allele frequency >5%. All the genes implicated by those SNP hits were novel, many without a known role in radiation resistance and some with unknown function. Variants in known DNA damage and repair genes associated with radiation response were below the significance threshold of p<10(−5) and were not present among the significant hits. No SNP met the genome-wide significance threshold (p = 1.49×10(−7)), indicating a necessity for a larger sample size. CONCLUSIONS: Several genes not previously associated with variation in radiation resistance were identified. These genes, especially the ones with human homologs, form the basis for exploring new pathways involved in radiation resistance in novel functional studies. An improved DGRP model with a sample size of at least 265 lines and ideally up to 793 lines is recommended for future studies of complex traits. Public Library of Science 2014-08-14 /pmc/articles/PMC4133248/ /pubmed/25121966 http://dx.doi.org/10.1371/journal.pone.0104858 Text en © 2014 Vaisnav et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Vaisnav, Mahesh
Xing, Chao
Ku, Hung-Chih
Hwang, Daniel
Stojadinovic, Strahinja
Pertsemlidis, Alexander
Abrams, John M.
Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster
title Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster
title_full Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster
title_fullStr Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster
title_full_unstemmed Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster
title_short Genome-Wide Association Analysis of Radiation Resistance in Drosophila melanogaster
title_sort genome-wide association analysis of radiation resistance in drosophila melanogaster
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4133248/
https://www.ncbi.nlm.nih.gov/pubmed/25121966
http://dx.doi.org/10.1371/journal.pone.0104858
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