@misc{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 = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {1}, issn = {1866-8372}, doi = {10.25932/publishup-51628}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-516289}, pages = {12}, 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} } @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} } @article{LiStomaLottaetal.2020, author = {Li, Chen and Stoma, Svetlana and Lotta, Luca A. and Warner, Sophie and Albrecht, Eva and Allione, Alessandra and Arp, Pascal P. and Broer, Linda and Buxton, Jessica L. and Boeing, Heiner and Langenberg, Claudia and Codd, Veryan}, title = {Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length}, series = {American Journal of Human Genetics}, volume = {106}, journal = {American Journal of Human Genetics}, number = {3}, publisher = {Elsevier}, address = {Amsterdam}, pages = {16}, year = {2020}, abstract = {Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.}, language = {en} } @misc{LiStomaLottaetal.2020, author = {Li, Chen and Stoma, Svetlana and Lotta, Luca A. and Warner, Sophie and Albrecht, Eva and Allione, Alessandra and Arp, Pascal P. and Broer, Linda and Buxton, Jessica L. and Boeing, Heiner and Langenberg, Claudia and Codd, Veryan}, title = {Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {3}, issn = {1866-8372}, doi = {10.25932/publishup-52684}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-526843}, pages = {18}, year = {2020}, abstract = {Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.}, language = {en} } @misc{MaZhangTurečkovaetal.2018, author = {Ma, Xuemin and Zhang, Youjun and Turečkov{\´a}, Veronika and Xue, Gang-Ping and Fernie, Alisdair R. and M{\"u}ller-R{\"o}ber, Bernd and Balazadeh, Salma}, title = {The NAC transcription factor SlNAP2 regulates leaf senescence and fruit yield in tomato}, series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, number = {787}, issn = {1866-8372}, doi = {10.25932/publishup-43764}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-437643}, pages = {17}, year = {2018}, abstract = {Leaf senescence is an essential physiological process in plants that supports the recycling of nitrogen and other nutrients to support the growth of developing organs, including young leaves, seeds, and fruits. Thus, the regulation of senescence is crucial for evolutionary success in wild populations and for increasing yield in crops. Here, we describe the influence of a NAC transcription factor, SlNAP2 (Solanum lycopersicum NAC-like, activated by Apetala3/Pistillata), that controls both leaf senescence and fruit yield in tomato (S. lycopersicum). SlNAP2 expression increases during age-dependent and dark-induced leaf senescence. We demonstrate that SlNAP2 activates SlSAG113 (S. lycopersicum SENESCENCE-ASSOCIATED GENE113), a homolog of Arabidopsis (Arabidopsis thaliana) SAG113, chlorophyll degradation genes such as SlSGR1 (S. lycopersicum senescence-inducible chloroplast stay-green protein 1) and SlPAO (S. lycopersicum pheide a oxygenase), and other downstream targets by directly binding to their promoters, thereby promoting leaf senescence. Furthermore, SlNAP2 directly controls the expression of genes important for abscisic acid (ABA) biosynthesis, S. lycopersicum 9-cis-epoxycarotenoid dioxygenase 1 (SlNCED1); transport, S. lycopersicum ABC transporter G family member 40 (SlABCG40); and degradation, S. lycopersicum ABA 8'-hydroxylase (SlCYP707A2), indicating that SlNAP2 has a complex role in establishing ABA homeostasis during leaf senescence. Inhibiting SlNAP2 expression in transgenic tomato plants impedes leaf senescence but enhances fruit yield and sugar content likely due to prolonged leaf photosynthesis in aging tomato plants. Our data indicate that SlNAP2 has a central role in controlling leaf senescence and fruit yield in tomato.}, language = {en} } @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} }