Literature DB >> 19349959

Genetic analysis of radiation-induced changes in human gene expression.

Denis A Smirnov1, Michael Morley, Eunice Shin, Richard S Spielman, Vivian G Cheung.   

Abstract

Humans are exposed to radiation through the environment and in medical settings. To deal with radiation-induced damage, cells mount complex responses that rely on changes in gene expression. These gene expression responses differ greatly between individuals and contribute to individual differences in response to radiation. Here we identify regulators that influence expression levels of radiation-responsive genes. We treated radiation-induced changes in gene expression as quantitative phenotypes, and conducted genetic linkage and association studies to map their regulators. For more than 1,200 of these phenotypes there was significant evidence of linkage to specific chromosomal regions. Nearly all of the regulators act in trans to influence the expression of their target genes; there are very few cis-acting regulators. Some of the trans-acting regulators are transcription factors, but others are genes that were not known to have a regulatory function in radiation response. These results have implications for our basic and clinical understanding of how human cells respond to radiation.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19349959      PMCID: PMC3005325          DOI: 10.1038/nature07940

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  30 in total

1.  A general test of association for quantitative traits in nuclear families.

Authors:  G R Abecasis; L R Cardon; W O Cookson
Journal:  Am J Hum Genet       Date:  2000-01       Impact factor: 11.025

2.  ASPP proteins specifically stimulate the apoptotic function of p53.

Authors:  Y Samuels-Lev; D J O'Connor; D Bergamaschi; G Trigiante; J K Hsieh; S Zhong; I Campargue; L Naumovski; T Crook; X Lu
Journal:  Mol Cell       Date:  2001-10       Impact factor: 17.970

3.  A haplotype map of the human genome.

Authors: 
Journal:  Nature       Date:  2005-10-27       Impact factor: 49.962

4.  PEDSTATS: descriptive statistics, graphics and quality assessment for gene mapping data.

Authors:  Janis E Wigginton; Gonçalo R Abecasis
Journal:  Bioinformatics       Date:  2005-06-09       Impact factor: 6.937

Review 5.  Genetics of global gene expression.

Authors:  Matthew V Rockman; Leonid Kruglyak
Journal:  Nat Rev Genet       Date:  2006-11       Impact factor: 53.242

6.  A genome-wide association study of global gene expression.

Authors:  Anna L Dixon; Liming Liang; Miriam F Moffatt; Wei Chen; Simon Heath; Kenny C C Wong; Jenny Taylor; Edward Burnett; Ivo Gut; Martin Farrall; G Mark Lathrop; Gonçalo R Abecasis; William O C Cookson
Journal:  Nat Genet       Date:  2007-09-16       Impact factor: 38.330

7.  Centre d'etude du polymorphisme humain (CEPH): collaborative genetic mapping of the human genome.

Authors:  J Dausset; H Cann; D Cohen; M Lathrop; J M Lalouel; R White
Journal:  Genomics       Date:  1990-03       Impact factor: 5.736

8.  Genetics of gene expression surveyed in maize, mouse and man.

Authors:  Eric E Schadt; Stephanie A Monks; Thomas A Drake; Aldons J Lusis; Nam Che; Veronica Colinayo; Thomas G Ruff; Stephen B Milligan; John R Lamb; Guy Cavet; Peter S Linsley; Mao Mao; Roland B Stoughton; Stephen H Friend
Journal:  Nature       Date:  2003-03-20       Impact factor: 49.962

9.  Integrating global gene expression and radiation survival parameters across the 60 cell lines of the National Cancer Institute Anticancer Drug Screen.

Authors:  Sally A Amundson; Khanh T Do; Lisa C Vinikoor; R Anthony Lee; Christine A Koch-Paiz; Jaeyong Ahn; Mark Reimers; Yidong Chen; Dominic A Scudiero; John N Weinstein; Jeffrey M Trent; Michael L Bittner; Paul S Meltzer; Albert J Fornace
Journal:  Cancer Res       Date:  2008-01-15       Impact factor: 12.701

10.  Minimizing off-target effects by using diced siRNAs for RNA interference.

Authors:  Jason W Myers; Jen-Tsan Chi; Delquin Gong; Marci E Schaner; Patrick O Brown; James E Ferrell
Journal:  J RNAi Gene Silencing       Date:  2006-07-17
View more
  98 in total

Review 1.  Single-nucleotide polymorphisms in the p53 signaling pathway.

Authors:  Lukasz F Grochola; Jorge Zeron-Medina; Sophie Mériaux; Gareth L Bond
Journal:  Cold Spring Harb Perspect Biol       Date:  2009-12-09       Impact factor: 10.005

2.  Radiation pharmacogenomics: a genome-wide association approach to identify radiation response biomarkers using human lymphoblastoid cell lines.

Authors:  Nifang Niu; Yuxin Qin; Brooke L Fridley; Junmei Hou; Krishna R Kalari; Minjia Zhu; Tse-Yu Wu; Gregory D Jenkins; Anthony Batzler; Liewei Wang
Journal:  Genome Res       Date:  2010-10-05       Impact factor: 9.043

Review 3.  Cellular genomics for complex traits.

Authors:  Emmanouil T Dermitzakis
Journal:  Nat Rev Genet       Date:  2012-02-14       Impact factor: 53.242

4.  Functional consequences of PRPF39 on distant genes and cisplatin sensitivity.

Authors:  Amy L Stark; Shannon M Delaney; Heather E Wheeler; Hae Kyung Im; M Eileen Dolan
Journal:  Hum Mol Genet       Date:  2012-07-05       Impact factor: 6.150

Review 5.  MicroRNAs: new players in the DNA damage response.

Authors:  Hailiang Hu; Richard A Gatti
Journal:  J Mol Cell Biol       Date:  2010-12-23       Impact factor: 6.216

Review 6.  Genome-wide significant loci: how important are they? Systems genetics to understand heritability of coronary artery disease and other common complex disorders.

Authors:  Johan L M Björkegren; Jason C Kovacic; Joel T Dudley; Eric E Schadt
Journal:  J Am Coll Cardiol       Date:  2015-03-03       Impact factor: 24.094

7.  Pharmacogenomic characterization of US FDA-approved cytotoxic drugs.

Authors:  Eric J Peters; Alison Motsinger-Reif; Tammy M Havener; Lorraine Everitt; Nicholas E Hardison; Venita G Watson; Michael Wagner; Kristy L Richards; Mike A Province; Howard L McLeod
Journal:  Pharmacogenomics       Date:  2011-10       Impact factor: 2.533

8.  DNA double-strand breaks: linking gene expression to chromosome morphology and mobility.

Authors:  Yang Zhang; Dieter W Heermann
Journal:  Chromosoma       Date:  2013-08-28       Impact factor: 4.316

Review 9.  Pharmacogenomic discovery using cell-based models.

Authors:  Marleen Welsh; Lara Mangravite; Marisa Wong Medina; Kelan Tantisira; Wei Zhang; R Stephanie Huang; Howard McLeod; M Eileen Dolan
Journal:  Pharmacol Rev       Date:  2009-12       Impact factor: 25.468

10.  Explaining inter-individual variability in phenotype: is epigenetics up to the challenge?

Authors:  Nahid Turan; Sunita Katari; Christos Coutifaris; Carmen Sapienza
Journal:  Epigenetics       Date:  2010-01-06       Impact factor: 4.528

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.