@article{ChaykovskaZientaraReseretal.2014,
  author    = {Chaykovska, Lyubov and Zientara, Alicja and Reser, Diana and Weise, Alexander and Reichert, Wolfgang and Hocher, Berthold},
  title     = {Development and validation of a macroarray system - MutaCHIP (R) ARTERO - for the detection of genetic variants involved in the pathogenesis of atherosclerosis},
  series = {Clinical laboratory : the peer reviewed journal for clinical laboratories and laboratories related to blood transfusion},
  volume    = {60},
  journal   = {Clinical laboratory : the peer reviewed journal for clinical laboratories and laboratories related to blood transfusion},
  number    = {5},
  publisher = {Clin Lab Publ., Verl. Klinisches Labor},
  address   = {Heidelberg},
  issn      = {1433-6510},
  doi       = {10.7754/Clin.Lab.2014.140104},
  pages     = {873 -- 878},
  year      = {2014},
  abstract  = {Background: Cardiovascular diseases are the leading cause of death in developed countries. The underlying mechanism is often atherosclerotic remodeling of blood vessels in organs such as heart, kidney, brain, and large arteries in case of peripheral arterial disease. Beside environmental and behavioral factors such as smoking or lack of physical activity, genetic variants in genes involved in lipid metabolism, blood pressure regulation, oxidative stress, and coagulation play a prominent role in the pathogenesis of atherosclerosis. Methods: Thus, we developed and validated for clinical use and research a macroarray system for the simultaneous detection of key genetic variants in genes involved in lipid metabolism, blood pressure regulation, oxidative stress, and coagulation. Results: When compared with standard PCR technologies to determine all these genetic variants in parallel, the macroarray system (MutaCHIP (R) ARTERO) was as accurate but faster, cheaper, and easier to handle compared to classical real time PCR based technologies. Conclusions: MutaCHIP (R) ARTERO is a gene chip for diagnostics of a complex genetic panel involved in the pathogenesis of atherosclerosis. This method is as sensitive and precise as real time PCR and is able to replicate real time PCR data previously validated in evaluation studies.},
  language  = {en}
}
@article{DwiPutraReichetzederHasanetal.2020,
  author    = {Dwi Putra, Sulistyo Emantoko and Reichetzeder, Christoph and Hasan, Ahmed Abdallah Abdalrahman Mohamed and Slowinski, Torsten and Chu, Chang and Kr{\"a}mer, Bernhard K. and Kleuser, Burkhard and Hocher, Berthold},
  title     = {Being born large for gestational age is associated with increased global placental DNA methylation},
  series = {Scientific Reports},
  volume    = {10},
  journal   = {Scientific Reports},
  number    = {1},
  publisher = {Springer Nature},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/s41598-020-57725-0},
  pages     = {1 -- 10},
  year      = {2020},
  abstract  = {Being born small (SGA) or large for gestational age (LGA) is associated with adverse birth outcomes and metabolic diseases in later life of the offspring. It is known that aberrations in growth during gestation are related to altered placental function. Placental function is regulated by epigenetic mechanisms such as DNA methylation. Several studies in recent years have demonstrated associations between altered patterns of DNA methylation and adverse birth outcomes. However, larger studies that reliably investigated global DNA methylation are lacking. The aim of this study was to characterize global placental DNA methylation in relationship to size for gestational age. Global DNA methylation was assessed in 1023 placental samples by LC-MS/MS. LGA offspring displayed significantly higher global placental DNA methylation compared to appropriate for gestational age (AGA; p<0.001). ANCOVA analyses adjusted for known factors impacting on DNA methylation demonstrated an independent association between placental global DNA methylation and LGA births (p<0.001). Tertile stratification according to global placental DNA methylation levels revealed a significantly higher frequency of LGA births in the third tertile. Furthermore, a multiple logistic regression analysis corrected for known factors influencing birth weight highlighted an independent positive association between global placental DNA methylation and the frequency of LGA births (p=0.001).},
  language  = {en}
}