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Peer-Reviewed Articles

Lempiäinen H, Brænne I, Michoel T, et al. 
Network analysis of coronary artery disease risk genes elucidates disease mechanisms and druggable targets. 
Sci Rep. 2018 Feb 21;8(1):3434. doi: 10.1038/s41598-018-20721-6.
The CVgenes@target consortium, including scientists from Genedata, identified 68 genes implicated in coronary artery disease and scored them for druggability potential.

Widschwendter M, Zikan M, Wahl B, et al. 
The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer. 
Genome Med. 2017 Dec 22;9(1):116. doi: 10.1186/s13073-017-0500-7.
Genedata scientists and colleagues in the EpiFemCare consortium discovered that DNA methylation patterns in cell-free DNA have the potential to detect a proportion of ovarian cancers up to two years in advance of diagnosis and may potentially guide personalized treatment.

Widschwendter M, Evans I, Jones A, et al. 
Methylation patterns in serum DNA for early identification of disseminated breast cancer. 
Genome Med. 2017 Dec 22;9(1):115. doi: 10.1186/s13073-017-0499-9.
Genedata scientists and colleagues in the EpiFemCare consortium detected serum DNAme patterns which offer a new tool for early diagnosis and management of disseminated breast cancers.

Boei JJWA, Vermeulen S, Klein B, et al.
Xenobiotic metabolism in differentiated human bronchial epithelial cells. 
Arch Toxicol. 2017 May;91(5):2093–2105. doi: 10.1007/s00204-016-1868-7. Epub 2016 Oct 13.

Vineis P, Chadeau-Hyam M, Gmuender H, et al. 
The exposome in practice: Design of the EXPOsOMICS project. Int J Hyg Environ Health. 2017 Mar;220(2 Pt A):142–151. 
doi: 10.1016/j.ijheh.2016.08.001. Epub 2016 Aug 19.
A review of a European Union-funded project to characterize the external and internal components of the exposome to assess exposure to high priority environmental pollutants.

Manawapat-Klopfer A, Thomsen LT, Martus P, et al. 
TMEM45A, SERPINB5 and p16INK4A transcript levels are predictive for development of high-grade cervical lesions. 
Am J Cancer Res. 2016 Jul 1;6(7):1524–36. eCollection 2016.
A collaborative project where Genedata helped to identify biomarkers for progression to cervical cancer in women with persistent HPV16 infection.

Herwig R, Gmuender H, Corvi R, et al. 
Inter-laboratory study of human in vitro toxicogenomics-based tests as alternative methods for evaluating chemical carcinogenicity: a bioinformatics perspective. 
Arch Toxicol. 2016 Sep;90(9):2215–29. doi: 10.1007/s00204-015-1617-3. Epub 2015 Nov 2.
A collaborative project where Genedata helped to develop new bioinformatics workflows which deliver accurate measures for inter-laboratory comparison studies.

Hendrickx DM, Aerts HJ, Caiment F, et al. 
diXa: a data infrastructure for chemical safety assessment.
Bioinformatics. 2015 May 1;31(9):1505–7. doi: 10.1093/bioinformatics/btu827. Epub 2014 Dec 12.
The Data Infrastructure for Chemical Safety Assessment (diXa) is a robust and sustainable infrastructure storing toxicogenomics data and is publicly available through a user-friendly web interface.

Rossner P Jr, Tulupova E, Rossnerova A, et al. 
Reduced gene expression levels after chronic exposure to high concentrations of air pollutants. 
Mutat Res. 2015 Oct;780:60–70. doi: 10.1016/j.mrfmmm.2015.08.001. Epub 2015 Aug 11.
Genedata experts and colleagues analyzed gene expression levels in subjects exposed to air pollution in two regions of the Czech Republic.

Schumacher A, Rujan T, Hoefkens J. 
A collaborative approach to develop a multi-omics data analytics platform for translational research. 
Appl Transl Genom. 2014 Sep 16;3(4):105–8. doi: 10.1016/j.atg.2014.09.010. eCollection 2014 Dec 1.

Wittenberger T, Sleigh S, Reisel D, et al. 
DNA methylation markers for early detection of women’s cancer: promise and challenges. 
Epigenomics. 2014 Jun;6(3):311–27. doi: 10.2217/epi.14.20.
A review by Genedata experts and colleagues of the initial stages of a study conducted by the EpiFemCare symposium into early diagnosis of breast and ovarian cancer.

Büchel J, Bartosova M, Eich G, et al. 
Interference of peritoneal dialysis fluids with cell cycle mechanisms. 
Perit Dial Int. 2015 May–Jun;35(3):259–74. doi: 10.3747/pdi.2013.00010. Epub 2014 Jul 31.
PD solutions differ substantially with regard to their gene regulating profile and impact on primary human peritoneal mesothelial cells.

Doktorova TY, Yildirimman R, Vinken M, et al. 
Transcriptomic responses generated by hepatocarcinogens in a battery of liver-based in vitro models. 
Carcinogenesis. 2013 Jun;34(6):1393–402. doi: 10.1093/carcin/bgt054. Epub 2013 Feb 7.

Rossnerova A, Tulupova E, Tabashidze N, et al. 
Factors affecting the 27K DNA methylation pattern in asthmatic and healthy children from locations with various environments. 
Mutat Res. 2013 Jan–Feb;741-742:18-26. doi: 10.1016/j.mrfmmm.2013.02.003. Epub 2013 Mar 1.