@misc{BeaumontWarringtonCavadinoetal.2017, author = {Beaumont, Robin N. and Warrington, Nicole M. and Cavadino, Alana and Tyrrell, Jessica and Nodzenski, Michael and Horikoshi, Momoko and Geller, Frank and Myhre, Ronny and Richmond, Rebecca C. and Paternoster, Lavinia and Bradfield, Jonathan P. and Kreiner-M{\o}ller, Eskil and Huikari, Ville and Metrustry, Sarah and Lunetta, Kathryn L. and Painter, Jodie N. and Hottenga, Jouke-Jan and Allard, Catherine and Barton, Sheila J. and Espinosa, Ana and Marsh, Julie A. and Potter, Catherine and Zhang, Ge and Ang, Wei and Berry, Diane J. and Bouchard, Luigi and Das, Shikta and Hakonarson, Hakon and Heikkinen, Jani and Helgeland, {\O}yvind and Hocher, Berthold and Hofman, Albert and Inskip, Hazel M. and Jones, Samuel E. and Kogevinas, Manolis and Lind, Penelope A. and Marullo, Letizia and Medland, Sarah E. and Murray, Anna and Murray, Jeffrey C. and Nj{\o}lstad, Pa ̊l R. and Nohr, Ellen A. and Reichetzeder, Christoph and Ring, Susan M. and Ruth, Katherine S. and Santa-Marina, Loreto and Scholtens, Denise M. and Sebert, Sylvain and Sengpiel, Verena and Tuke, Marcus A. and Vaudel, Marc and Weedon, Michael N. and Willemsen, Gonneke and Wood, Andrew R. and Yaghootkar, Hanieh and Muglia, Louis J. and Bartels, Meike and Relton, Caroline L. and Pennell, Craig E. and Chatzi, Leda and Estivill, Xavier and Holloway, John W. and Boomsma, Dorret I. and Montgomery, Grant W. and Murabito, Joanne M. and Spector, Tim D. and Power, Christine and Ja ̈rvelin, Marjo-Ritta and Bisgaard, Hans and Grant, Struan F.A. and S{\o}rensen, Thorkild I.A. and Jaddoe, Vincent W. and Jacobsson, Bo and Melbye, Mads and McCarthy, Mark I. and Hattersley, Andrew T. and Hayes, M. Geoffrey and Frayling, Timothy M. and Hivert, Marie-France and Felix, Janine F. and Hyppo ̈nen, Elina and Lowe, William L. , Jr and Evans, David M. and Lawlor, Debbie A. and Feenstra, Bjarke and Freathy, Rachel M.}, title = {Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {628}, issn = {1866-8372}, doi = {10.25932/publishup-42310}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-423100}, pages = {15}, year = {2017}, abstract = {Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother-child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 {\^A} 10 {\`A}8 . In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.}, language = {en} } @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} } @misc{LuReichetzederPrehnetal.2018, author = {Lu, Yong-Ping and Reichetzeder, Christoph and Prehn, Cornelia and Yin, Liang-Hong and Yun, Chen and Zeng, Shufei and Chu, Chang and Adamski, Jerzy and Hocher, Berthold}, title = {Cord blood Lysophosphatidylcholine 16:1 is positively associated with birth weight}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {631}, issn = {1866-8372}, doi = {10.25932/publishup-42456}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-424566}, pages = {11}, year = {2018}, abstract = {Background/Aims: Impaired birth outcomes, like low birth weight, have consistently been associated with increased disease susceptibility to hypertension in later life. Alterations in the maternal or fetal metabolism might impact on fetal growth and influence birth outcomes. Discerning associations between the maternal and fetal metabolome and surrogate parameters of fetal growth could give new insight into the complex relationship between intrauterine conditions, birth outcomes, and later life disease susceptibility. Methods: Using flow injection tandem mass spectrometry, targeted metabolomics was performed in serum samples obtained from 226 mother/child pairs at delivery. Associations between neonatal birth weight and concentrations of 163 maternal and fetal metabolites were analyzed. Results: After FDR adjustment using the Benjamini-Hochberg procedure lysophosphatidylcholines (LPC) 14:0, 16:1, and 18:1 were strongly positively correlated with birth weight. In a stepwise linear regression model corrected for established confounding factors of birth weight, LPC 16: 1 showed the strongest independent association with birth weight (CI: 93.63 - 168.94; P = 6.94x10(-11)). The association with birth weight was stronger than classical confounding factors such as offspring sex (CI: - 258.81- -61.32; P = 0.002) and maternal smoking during pregnancy (CI: -298.74 - -29.51; P = 0.017). Conclusions: After correction for multiple testing and adjustment for potential confounders, LPC 16:1 showed a very strong and independent association with birth weight. The underlying molecular mechanisms linking fetal LPCs with birth weight need to be addressed in future studies. (c) 2018 The Author(s) Published by S. Karger AG, Basel}, 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} }