@article{LiLuTsuprykovetal.2018, author = {Li, Jian and Lu, Yong-Ping and Tsuprykov, Oleg and Hasan, Ahmed Abdallah Abdalrahman Mohamed and Reichetzeder, Christoph and Tian, Mei and Zhang, Xiao Li and Zhang, Qin and Sun, Guo-Ying and Guo, Jingli and Gaballa, Mohamed Mahmoud Salem Ahmed and Peng, Xiao-Ning and Lin, Ge and Hocher, Berthold}, title = {Folate treatment of pregnant rat dams abolishes metabolic effects in female offspring induced by a paternal pre-conception unhealthy diet}, series = {Diabetologia : journal of the European Association for the Study of Diabetes (EASD)}, volume = {61}, journal = {Diabetologia : journal of the European Association for the Study of Diabetes (EASD)}, number = {8}, publisher = {Springer}, address = {New York}, issn = {0012-186X}, doi = {10.1007/s00125-018-4635-x}, pages = {1862 -- 1876}, year = {2018}, abstract = {Aims/hypothesis Paternal high-fat diet prior to mating programmes impaired glucose tolerance in female offspring. We examined whether the metabolic consequences in offspring could be abolished by folate treatment of either the male rats before mating or the corresponding female rats during pregnancy. Methods Male F0 rats were fed either control diet or high-fat, high-sucrose and high-salt diet (HFSSD), with or without folate, before mating. Male rats were mated with control-diet-fed dams. After mating, the F0 dams were fed control diet with or without folate during pregnancy.}, language = {en} } @article{LiShenZhangetal.2022, author = {Li, Jian and Shen, Jinhua and Zhang, Xiaoli and Peng, Yangqin and Zhang, Qin and Hu, Liang and Reichetzeder, Christoph and Zeng, Suimin and Li, Jing and Tian, Mei and Gong, Fei and Lin, Ge and Hocher, Berthold}, title = {Risk factors associated with preterm birth after IVF/ICSI}, series = {Scientific reports}, volume = {12}, journal = {Scientific reports}, number = {1}, publisher = {Nature Research}, address = {Berlin}, issn = {2045-2322}, doi = {10.1038/s41598-022-12149-w}, pages = {9}, year = {2022}, abstract = {In vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) is associated with an increased risk of preterm (33rd-37th gestational week) and early preterm birth (20th-32nd gestational week). The underlying general and procedure related risk factors are not well understood so far. 4328 infertile women undergoing IVF/ICSI were entered into this study. The study population was divided into three groups: (a) early preterm birth group (n = 66), (b) preterm birth group (n = 675) and (c) full-term birth group (n = 3653). Odds for preterm birth were calculated by stepwise multivariate logistic regression analysis. We identified seven independent risk factors for preterm birth and four independent risk factors for early preterm birth. Older (> 39) or younger (< 25) maternal age (OR: 1.504, 95\% CI 1.108-2.042, P = 0.009; OR: 2.125, 95\% CI 1.049-4.304, P = 0.036, respectively), multiple pregnancy (OR: 9.780, 95\% CI 8.014-11.935, P < 0.001; OR: 8.588, 95\% CI 4.866-15.157, P < 0.001, respectively), placenta previa (OR: 14.954, 95\% CI 8.053-27.767, P < 0.001; OR: 16.479, 95\% CI 4.381-61.976, P < 0.001, respectively), and embryo reduction (OR: 3.547, 95\% CI 1.736-7.249, P = 0.001; OR: 7.145, 95\% CI 1.990-25.663, P = 0.003, respectively) were associated with preterm birth and early preterm birth, whereas gestational hypertension (OR: 2.494, 95\% CI 1.770-3.514, P < 0.001), elevated triglycerides (OR: 1.120, 95\% CI 1.011-1.240, P = 0.030) and shorter activated partial thromboplastin time (OR: 0.967, 95\% CI 0.949-0.985, P < 0.001) were associated only with preterm birth. In conclusion, preterm and early preterm birth risk factors in patients undergoing assisted IVF/ICSI are in general similar to those in natural pregnancy. The lack of some associations in the early preterm group was most likely due to the lower number of early preterm birth cases. Only embryo reduction represents an IVF/ICSI specific risk factor.}, language = {en} } @article{WarringtonBeaumontHorikoshietal.2019, author = {Warrington, Nicole and Beaumont, Robin and Horikoshi, Momoko and Day, Felix R. and Helgeland, {\O}yvind and Laurin, Charles and Bacelis, Jonas and Peng, Shouneng and Hao, Ke and Feenstra, Bjarke and Wood, Andrew R. and Mahajan, Anubha and Tyrrell, Jessica and Robertson, Neil R. and Rayner, N. William and Qiao, Zhen and Moen, Gunn-Helen and Vaudel, Marc and Marsit, Carmen and Chen, Jia and Nodzenski, Michael and Schnurr, Theresia M. and Zafarmand, Mohammad Hadi and Bradfield, Jonathan P. and Grarup, Niels and Kooijman, Marjolein N. and Li-Gao, Ruifang and Geller, Frank and Ahluwalia, Tarunveer Singh and Paternoster, Lavinia and Rueedi, Rico and Huikari, Ville and Hottenga, Jouke-Jan and Lyytik{\"a}inen, Leo-Pekka and Cavadino, Alana and Metrustry, Sarah and Cousminer, Diana L. and Wu, Ying and Thiering, Elisabeth Paula and Wang, Carol A. and Have, Christian Theil and Vilor-Tejedor, Natalia and Joshi, Peter K. and Painter, Jodie N. and Ntalla, Ioanna and Myhre, Ronny and Pitk{\"a}nen, Niina and van Leeuwen, Elisabeth M. and Joro, Raimo and Lagou, Vasiliki and Richmond, Rebecca C. and Espinosa, Ana and Barton, Sheila J. and Inskip, Hazel M. and Holloway, John W. and Santa-Marina, Loreto and Estivill, Xavier and Ang, Wei and Marsh, Julie A. and Reichetzeder, Christoph and Marullo, Letizia and Hocher, Berthold and Lunetta, Kathryn L. and Murabito, Joanne M. and Relton, Caroline L. and Kogevinas, Manolis and Chatzi, Leda and Allard, Catherine and Bouchard, Luigi and Hivert, Marie-France and Zhang, Ge and Muglia, Louis J. and Heikkinen, Jani and Morgen, Camilla S. and van Kampen, Antoine H. C. and van Schaik, Barbera D. C. and Mentch, Frank D. and Langenberg, Claudia and Scott, Robert A. and Zhao, Jing Hua and Hemani, Gibran and Ring, Susan M. and Bennett, Amanda J. and Gaulton, Kyle J. and Fernandez-Tajes, Juan and van Zuydam, Natalie R. and Medina-Gomez, Carolina and de Haan, Hugoline G. and Rosendaal, Frits R. and Kutalik, Zolt{\´a}n and Marques-Vidal, Pedro and Das, Shikta and Willemsen, Gonneke and Mbarek, Hamdi and M{\"u}ller-Nurasyid, Martina and Standl, Marie and Appel, Emil V. R. and Fonvig, Cilius Esmann and Trier, Caecilie and van Beijsterveldt, Catharina E. M. and Murcia, Mario and Bustamante, Mariona and Bon{\`a}s-Guarch, S{\´i}lvia and Hougaard, David M. and Mercader, Josep M. and Linneberg, Allan and Schraut, Katharina E. and Lind, Penelope A. and Medland, Sarah Elizabeth and Shields, Beverley M. and Knight, Bridget A. and Chai, Jin-Fang and Panoutsopoulou, Kalliope and Bartels, Meike and S{\´a}nchez, Friman and Stokholm, Jakob and Torrents, David and Vinding, Rebecca K. and Willems, Sara M. and Atalay, Mustafa and Chawes, Bo L. and Kovacs, Peter and Prokopenko, Inga and Tuke, Marcus A. and Yaghootkar, Hanieh and Ruth, Katherine S. and Jones, Samuel E. and Loh, Po-Ru and Murray, Anna and Weedon, Michael N. and T{\"o}njes, Anke and Stumvoll, Michael and Michaelsen, Kim Fleischer and Eloranta, Aino-Maija and Lakka, Timo A. and van Duijn, Cornelia M. and Kiess, Wieland and Koerner, Antje and Niinikoski, Harri and Pahkala, Katja and Raitakari, Olli T. and Jacobsson, Bo and Zeggini, Eleftheria and Dedoussis, George V. and Teo, Yik-Ying and Saw, Seang-Mei and Montgomery, Grant W. and Campbell, Harry and Wilson, James F. and Vrijkotte, Tanja G. M. and Vrijheid, Martine and de Geus, Eco J. C. N. and Hayes, M. Geoffrey and Kadarmideen, Haja N. and Holm, Jens-Christian and Beilin, Lawrence J. and Pennell, Craig E. and Heinrich, Joachim and Adair, Linda S. and Borja, Judith B. and Mohlke, Karen L. and Eriksson, Johan G. and Widen, Elisabeth E. and Hattersley, Andrew T. and Spector, Tim D. and Kaehoenen, Mika and Viikari, Jorma S. and Lehtimaeki, Terho and Boomsma, Dorret I. and Sebert, Sylvain and Vollenweider, Peter and Sorensen, Thorkild I. A. and Bisgaard, Hans and Bonnelykke, Klaus and Murray, Jeffrey C. and Melbye, Mads and Nohr, Ellen A. and Mook-Kanamori, Dennis O. and Rivadeneira, Fernando and Hofman, Albert and Felix, Janine F. and Jaddoe, Vincent W. V. and Hansen, Torben and Pisinger, Charlotta and Vaag, Allan A. and Pedersen, Oluf and Uitterlinden, Andre G. and Jarvelin, Marjo-Riitta and Power, Christine and Hypponen, Elina and Scholtens, Denise M. and Lowe, William L. and Smith, George Davey and Timpson, Nicholas J. and Morris, Andrew P. and Wareham, Nicholas J. and Hakonarson, Hakon and Grant, Struan F. A. and Frayling, Timothy M. and Lawlor, Debbie A. and Njolstad, Pal R. and Johansson, Stefan and Ong, Ken K. and McCarthy, Mark I. and Perry, John R. B. and Evans, David M. and Freathy, Rachel M.}, title = {Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors}, series = {Nature genetics}, volume = {51}, journal = {Nature genetics}, number = {5}, publisher = {Nature Publ. Group}, address = {New York}, organization = {EGG Consortium}, issn = {1061-4036}, pages = {804 -- +}, year = {2019}, abstract = {Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.}, language = {en} } @article{BeaumontWarringtonCavadinoetal.2018, 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-Moller, 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, Oyvind 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 Njolstad, Pal 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 Jarvelin, Marjo-Ritta and Bisgaard, Hans and Grant, Struan F. A. and Sorensen, 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 Hypponen, Elina and Lowe, William L. 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 = {Human molecular genetics}, volume = {27}, journal = {Human molecular genetics}, number = {4}, publisher = {Oxford Univ. Press}, address = {Oxford}, organization = {Early Growth Genetics EGG}, issn = {0964-6906}, doi = {10.1093/hmg/ddx429}, pages = {742 -- 756}, year = {2018}, 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 x 10(-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} } @article{TuGeZhangetal.2013, author = {Tu, Rui and Ge, Maorong and Zhang, Hongping and Huang, Guanwen}, title = {The realization and convergence analysis of combined PPP based on raw observation}, series = {Advances in space research}, volume = {52}, journal = {Advances in space research}, number = {1}, publisher = {Elsevier}, address = {Oxford}, issn = {0273-1177}, doi = {10.1016/j.asr.2013.03.005}, pages = {211 -- 221}, year = {2013}, abstract = {In order to speed up Precise Point Positioning (PPP)'s convergence, a combined PPP method with GPS and GLONASS which is based on using raw observations is proposed, and the positioning results and convergence time have been compared with that of single system. The ionospheric delays and receiver's Differential Code Bias (DCB) corrections are estimated as unknown parameters in this method. The numerical results show that the combined PPP has not caused significant impacts on the final solutions, but it greatly improved Position Dilution of Precision (PDOP) and convergence speed and enhanced the reliability of the solution. Meanwhile, the convergence speed is greatly influenced by the receiver's DCB, positioning results in horizontal which are better than 10 cm can be realized within 10 min. In addition, the ionosphere and DCB products can be provided with high precision.}, language = {en} } @article{TuZhangGeetal.2013, author = {Tu, Rui and Zhang, Hongping and Ge, Maorong and Huang, Guanwen}, title = {A real-time ionospheric model based on GNSS Precise Point Positioning}, series = {Advances in space research}, volume = {52}, journal = {Advances in space research}, number = {6}, publisher = {Elsevier}, address = {Oxford}, issn = {0273-1177}, doi = {10.1016/j.asr.2013.06.015}, pages = {1125 -- 1134}, year = {2013}, abstract = {This paper proposes a method of real-time monitoring and modeling the ionospheric Total Electron Content (TEC) by Precise Point Positioning (PPP). Firstly, the ionospheric TEC and receiver's Differential Code Biases (DCB) are estimated with the undifferenced raw observation in real-time, then the ionospheric TEC model is established based on the Single Layer Model (SLM) assumption and the recovered ionospheric TEC. In this study, phase observations with high precision are directly used instead of phase smoothed code observations. In addition, the DCB estimation is separated from the establishment of the ionospheric model which will limit the impacts of the SLM assumption impacts. The ionospheric model is established at every epoch for real time application. The method is validated with three different GNSS networks on a local, regional, and global basis. The results show that the method is feasible and effective, the real-time ionosphere and DCB results are very consistent with the IGS final products, with a bias of 1-2 TECU and 0.4 ns respectively.}, language = {en} } @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} } @article{HerzschuhCaoLaeppleetal.2019, author = {Herzschuh, Ulrike and Cao, Xianyong and Laepple, Thomas and Dallmeyer, Anne and Telford, Richard J. and Ni, Jian and Chen, Fahu and Kong, Zhaochen and Liu, Guangxiu and Liu, Kam-Biu and Liu, Xingqi and Stebich, Martina and Tang, Lingyu and Tian, Fang and Wang, Yongbo and Wischnewski, Juliane and Xu, Qinghai and Yan, Shun and Yang, Zhenjing and Yu, Ge and Zhang, Yun and Zhao, Yan and Zheng, Zhuo}, title = {Position and orientation of the westerly jet determined Holocene rainfall patterns in China}, series = {Nature Communications}, volume = {10}, journal = {Nature Communications}, publisher = {Nature Publ. Group}, address = {London}, issn = {2041-1723}, doi = {10.1038/s41467-019-09866-8}, pages = {8}, year = {2019}, abstract = {Proxy-based reconstructions and modeling of Holocene spatiotemporal precipitation patterns for China and Mongolia have hitherto yielded contradictory results indicating that the basic mechanisms behind the East Asian Summer Monsoon and its interaction with the westerly jet stream remain poorly understood. We present quantitative reconstructions of Holocene precipitation derived from 101 fossil pollen records and analyse them with the help of a minimal empirical model. We show that the westerly jet-stream axis shifted gradually southward and became less tilted since the middle Holocene. This was tracked by the summer monsoon rain band resulting in an early-Holocene precipitation maximum over most of western China, a mid-Holocene maximum in north-central and northeastern China, and a late-Holocene maximum in southeastern China. Our results suggest that a correct simulation of the orientation and position of the westerly jet stream is crucial to the reliable prediction of precipitation patterns in China and Mongolia.}, language = {en} }