75 results on '"Parmar, Priyanka"'
Search Results
52. Meta-Analysis of Maternal Prenatal Smoking GFI1-Locus and Cardio-Metabolic Phenotypes in Adults
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Parmar, Priyanka, primary, Lowry, Estelle, additional, Cugliari, Giovanni, additional, Suderman, Matthew, additional, Wilson, Rory P., additional, Karhunen, Ville, additional, Andrew, Toby, additional, Wiklund, Petri, additional, Wielscher, Matthias, additional, Guarrera, Simonetta, additional, Teumer, Alexander, additional, Lehne, Benjamin, additional, Milani, Lili, additional, de Klein, Niek, additional, Mishra, Pashupati, additional, Melton, Phillip, additional, Mandaviya, Pooja R., additional, Kasela, Silva, additional, Nano, Jana, additional, Zhang, Weihua, additional, Zhang, Yan, additional, Uitterlinden, Andre G., additional, Peters, Annette, additional, Schöttker, Ben, additional, Gieger, Christian, additional, Anderson, Denise, additional, Boomsma, Dorret I., additional, Grabe, Hans J., additional, Veldink, Jan H., additional, van Meurs, Joyce B.J., additional, van den Berg, Leonard H., additional, Beilin, Lawrence J., additional, Franke, Lude, additional, Loh, Marie, additional, van Greevenbroek, Marleen M.J., additional, Nauck, Matthias, additional, Kähönen, Mika, additional, Hurme, Mikko A., additional, Raitakari, Olli, additional, Franco, Oscar H., additional, Slagboom, Eline, additional, van der Harst, Pim, additional, Kunze, Sonja, additional, Felix, Stephan B., additional, Zhang, Tao, additional, Chen, Wei, additional, Mori, Trevor A., additional, Bonnefond, Amelie, additional, Heijmans, B.T., additional, Muka, Taulant, additional, Kooner, Jaspal S., additional, Fischer, Krista, additional, Waldenberger, Melanie, additional, Froguel, Philippe, additional, Huang, Rae-Chi, additional, Lehtimäki, Terho, additional, Rathmann, Wolfgang, additional, Relton, Caroline L., additional, Matullo, Giuseppe, additional, Brenner, Hermann, additional, Verweij, Niek, additional, Li, Shengxu, additional, Chambers, John C., additional, Järvelin, Marjo-Riitta, additional, and Sébert, Sylvain P., additional
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- 2018
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53. An abnormal tricuspid valve in the human cadaveric heart – A case report
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Parmar, Priyanka, primary, Soni, J.S., additional, and Vaniya, V.H., additional
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- 2017
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54. Biliary ductal variations and its clinical implications: a cadaveric study
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Parmar, Priyanka, primary, Rathee, Suresh Kanta, additional, Dhattarwal, SK, additional, and Marwah, Sanjay, additional
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- 2017
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55. A cadaveric study on the anatomical variations of origin of the coronary arteries in Gujarat state
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Parmar, Priyanka, primary, Soni, Jagdish, additional, and Khatri, Chirag, additional
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- 2017
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56. The novel and efficient method for isolating potassium solubilizing bacteria from rhizosphere soil.
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Parmar, Priyanka and Sindhu, Satyavir S.
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POTASSIUM , *SOILS , *SILICATE minerals , *RHIZOSPHERE , *LIQUID chromatography , *MICA - Abstract
Potassium (K) is the third major essential macronutrient for plant growth and more than 90% of potassium in the soil exists in the form of insoluble rocks and silicate minerals. 150 potassium solubilizing bacterial (KSB) strains were isolated from rhizosphere soil using Aleksandrov medium containing insoluble mica powder. Ten efficient KSB strains were selected and quantification studies showed that higher K solubilization (50.6 mg L−1) was observed in the strain HMP27 followed by strain WHP47 (46.4 mg L−1) in liquid medium. Potassium solubilization by the bacterial strains is determined by measuring zone of clearance around the bacterial colony. This procedure requires 10-15 days incubation. Therefore, a simple, rapid, and user-friendly method has been developed for screening of potassium solubilizing bacteria using the bromothymol blue dye in modified Aleksandrov medium. Microorganisms possessing potassium solubilization property developed a clear zone around bacterial colony and changed the colour of dye from greenish blue to yellow after two days incubation. High-performance liquid chromatography analysis of the filtrates showed the presence of oxalic, tartaric, citric, and succinic acid, which could be responsible for solubilization of potassium. This method will allow researchers to readily isolate new potassium solubilizing strains adapted to specific environments. [ABSTRACT FROM AUTHOR]
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- 2019
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57. Methods to Measure Socio-Economic Inequalities in Health for Indian Adolescents
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Parmar, Priyanka, primary, Mathur, Manu R., additional, Tsakos, Georgios, additional, and Watt, Richard G., additional
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- 2016
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58. Renal Hilum Study for Anomalous Vasculature
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Singh, Kamal, primary and Parmar, Priyanka, additional
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- 2016
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59. Unilateral high division of brachial artery and its clinical significance
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Rohilla, Aarti, primary, Parmar, Priyanka, additional, Singh, Kamal, additional, and Rohilla, Jyoti, additional
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- 2016
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60. Morphometric characteristic of thyroid cartilage in Gujarat region - A cadaveric study
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Patel, Shital, primary, Bhardwaj, Rashmi, additional, Parmar, Priyanka, additional, and Vaniya, Vasant, additional
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- 2016
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61. Determinants of Socioeconomic Inequalities in Traumatic Dental Injuries among Urban Indian Adolescents
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Mathur, Manu Raj, primary, Watt, Richard G., additional, Millett, Christopher J., additional, Parmar, Priyanka, additional, and Tsakos, Georgios, additional
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- 2015
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62. Public Health and Mass Gathering Events: Assessing Need for Surveillance in Wales, UK
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Parmar, Priyanka, primary and Thomas, Daniel RH, additional
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- 2015
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63. Minimization of leakage current through horizontal step doping in SOI MOSFETs
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PARMAR, PRIYANKA, primary, JAIN, ANSHUL, additional, and KHEDKAR, ABHAY, additional
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- 2015
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64. Synthesis, Characterization and Electrical Conductivity Measurements of Polypyrrole/ Montmorillonite Nanocomposites
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Parmar, Priyanka, primary, Agrawal, Pragyesh, additional, and Bajpai, Rakesh, additional
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- 2012
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65. The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents
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Jaddoe, Vincent W. V., Felix, Janine F., Andersen, Anne-Marie Nybo, Charles, Marie-Aline, Chatzi, Leda, Corpeleijn, Eva, Donner, Nina, Elhakeem, Ahmed, Eriksson, Johan G., Foong, Rachel, Grote, Veit, Haakma, Sido, Harris, Jennifer R., Heude, Barbara, Huang, Rae-Chi, Inskip, Hazel, Järvelin, Marjo-Riitta, Koletzko, Berthold, Lawlor, Deborah A., Lindeboom, Maarten, McEachan, Rosemary R. C., Mikkola, Tuija M., Nader, Johanna L. T., de Moira, Angela Pinot, Pizzi, Costanza, Richiardi, Lorenzo, Sebert, Sylvain, Schwalber, Ameli, Sunyer, Jordi, Swertz, Morris A., Vafeiadi, Marina, Vrijheid, Martine, Wright, John, Duijts, Liesbeth, El Marroun, Hanan, Gaillard, Romy, Santos, Susana, Geurtsen, Madelon L., Kooijman, Marjolein N., Mensink-Bout, Sara M., Vehmeijer, Florianne O. L., Voerman, Ellis, Nieuwenhuijsen, Mark, Basagaña, Xavier, Bustamante, Mariona, Casas, Maribel, de Castro, Montserrat, Cirugeda, Lourdes E., Fernández-Barrés, Sílvia, Fossati, Serena, Garcia, Raquel, Júlvez, Jordi, Lertxundi, Aitana C., Lertxundi, Nerea, Llop, Sabrina, López-Vicente, Mònica, Lopez-Espinosa, Maria-Jose B., Maitre, Lea, Murcia, Mario, Lea, Jose, Urquiza, H., Warembourg, Charline, Zugna, Daniela, Popovic, Maja, Isaevska, Elena, Maule, Milena, Moccia, Chiara, Moirano, Giovenale, Rasella, Davide, Hanson, Mark A., Inskip, Hazel M., Jacob, Chandni Maria, Salika, Theodosia, Cadman, Tim, Strandberg-Larsen, Katrine M., Pedersen, Marie, Vinther, Johan L., Wilson, Paul, Mason, Dan, Yang, Tiffany C., Cardol, Marloes, van Enckevoort, Esther, Hyde, Eleanor, Scholtens, Salome, Snieder, Harold, Thio, Chris H. L., Chatzi, Lida, Margetaki, Katerina C. A., Roumeliotaki, Theano, Nader, Johanna L., Knudsen, Gun Peggy, Magnus, Per, Panico, Lidia, Ichou, Mathieu, de Lauzon-Guillain, Blandine, Dargent-Molina, Patricia, Cornet, Maxime, Florian, Sandra M., Harrar, Faryal, Lepeule, Johanna, Lioret, Sandrine, Melchior, Maria, Plancoulaine, Sabine, Männikkö, Minna, Parmar, Priyanka, Rautio, Nina, Ronkainen, Justiina, Tolvanen, Mimmi, Mikkola, Tuija M, Aumüller, Nicole, Closa-Monasterolo, Ricardo, Escribano, Joaquin, Ferré, Natalia, Gruszfeld, Dariusz, Gürlich, Kathrin, Langhendries, Jean-Paul, Luque, Veronica, Riva, Enrica, Schwarzfischer, Phillipp, Totzauer, Martina, Verduci, Elvira, Xhonneux, Annick, Zaragoza-Jordana, Marta, Schwalber, Amelie, Foong, Rachel E., Hall, Graham L., Lin, Ashleigh, Carson, Jennie, Melton, Phillip, Rauschert, Sebastian, UNIVERSITY OF OULU, Economics, Tinbergen Institute, Clinicum, Research Programs Unit, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, University of Helsinki, Helsinki University Hospital Area, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Hospital Universitari de Sant Joan de Reus, Institut d’Investigació Sanitària Pere Virgili, Ciberdem, BIODonostia Research Institute, University of Turin, University of Southampton, University of Bristol [Bristol], IT University of Copenhagen, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bradford Teaching Hospitals NHS Foundation Trust [Bradford, Royaume-Uni], University of Manchester [Manchester], University of Groningen [Groningen], University of Crete [Heraklion] (UOC), University of Southern California (USC), Norwegian Institute of Public Health [Oslo] (NIPH), Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana [Espagne] (FISABIO), IMIM-Hospital del Mar, Generalitat de Catalunya, Etude longitudinale française depuis l'enfance (UMS : Ined-Inserm-EFS) (ELFE), Institut national d'études démographiques (INED)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Universitat Pompeu Fabra [Barcelona] (UPF), University of the Basque Country [Bizkaia] (UPV/EHU), Universitat de València (UV), Conselleria de Sanitat, Laboratorio de Salud Pública de Valencia, European Project: 733206,H2020,H2020-SC1-2016-RTD,LIFECYCLE(2017), Università degli studi di Torino = University of Turin (UNITO), IT University of Copenhagen (ITU), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Erasmus MC other, Pediatrics, Lifestyle Medicine (LM), Reproductive Origins of Adult Health and Disease (ROAHD), and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
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Male ,Parents ,Databases, Factual ,Epidemiology ,Ethnic group ,BLOOD-PRESSURE ,consortium ,030204 cardiovascular system & hematology ,Cohort Studies ,0302 clinical medicine ,Pregnancy ,Risk Factors ,030212 general & internal medicine ,Marketing ,Child ,DNA METHYLATION ,Public, Environmental & Occupational Health ,life course ,Birth cohorts ,birth cohorts ,SDG 10 - Reduced Inequalities ,ASSOCIATION ,non-communicable diseases ,3142 Public health care science, environmental and occupational health ,3. Good health ,Exposome ,PREGNANCY ,Child, Preschool ,Cohort ,Life course approach ,Generation R ,Female ,Life Sciences & Biomedicine ,Environmental Health ,EARLY NUTRITION ,medicine.medical_specialty ,Adolescent ,LifeCycle Project Group ,exposome ,FOLIC-ACID SUPPLEMENTS ,PROFILE ,1117 Public Health and Health Services ,New Consortium ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,medicine ,Humans ,Consortium ,Life course ,Non-communicable diseases ,European Union ,Noncommunicable Diseases ,Window of opportunity ,Science & Technology ,business.industry ,Public health ,Stressor ,Infant ,Environmental Exposure ,COHORTS ,LIFE_COURSE ,BIRTH-WEIGHT ,Socioeconomic Factors ,GENERATION R ,RISK-FACTORS ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,DATA_ANALYSIS ,business - Abstract
Early life is an important window of opportunity to improve health across the full lifecycle. An accumulating body of evidence suggests that exposure to adverse stressors during early life leads to developmental adaptations, which subsequently affect disease risk in later life. Also, geographical, socio-economic, and ethnic differences are related to health inequalities from early life onwards. To address these important public health challenges, many European pregnancy and childhood cohorts have been established over the last 30 years. The enormous wealth of data of these cohorts has led to important new biological insights and important impact for health from early life onwards. The impact of these cohorts and their data could be further increased by combining data from different cohorts. Combining data will lead to the possibility of identifying smaller effect estimates, and the opportunity to better identify risk groups and risk factors leading to disease across the lifecycle across countries. Also, it enables research on better causal understanding and modelling of life course health trajectories. The EU Child Cohort Network, established by the Horizon2020-funded LifeCycle Project, brings together nineteen pregnancy and childhood cohorts, together including more than 250,000 children and their parents. A large set of variables has been harmonised and standardized across these cohorts. The harmonized data are kept within each institution and can be accessed by external researchers through a shared federated data analysis platform using the R-based platform DataSHIELD, which takes relevant national and international data regulations into account. The EU Child Cohort Network has an open character. All protocols for data harmonization and setting up the data analysis platform are available online. The EU Child Cohort Network creates great opportunities for researchers to use data from different cohorts, during and beyond the LifeCycle Project duration. It also provides a novel model for collaborative research in large research infrastructures with individual-level data. The LifeCycle Project will translate results from research using the EU Child Cohort Network into recommendations for targeted prevention strategies to improve health trajectories for current and future generations by optimizing their earliest phases of life. The LifeCycle project received funding from the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 733206 LifeCycle). All study specific acknowledgements and funding are presented in the supplementary materials. This manuscript reflects only the author's view and the Commission is not responsible for any use that may be made of the information it contains
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66. DNA methylation signatures of a broad spectrum of aggressive behavior: a meta-analysis of epigenome-wide studies across the lifespan
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Dongen, Jenny, Hagenbeek, Fiona A., Suderman, Matthew, Roetman, Peter, Sugden, Karen, Chiocchetti, Andreas G., Ismail, Khadeeja, Mulder, Rosa H., Hafferty, Jonathan, Adams, Mark J., Walker, Rosie M., Morris, Stewart W., Lahti, Jari, Kupers, Leanne K., Escaramis, Georgia, Alemany, Silvia, Bonder, Marc Jan, Meijer, Mandy, Ip, Hill F., Jansen, Rick, Baselmans, Bart M. L., Parmar, Priyanka, Lowry, Estelle, Streit, Fabian, Sirignano, Lea, Send, Tabea, Frank, Josef, Jylhava, Juulia, Wang, Yunzhang, Mishra, Pashupati Prasad, Colins, Olivier F., Corcoran, David, Poulton, Richie, Jonathan Mill, Hannon, Eilis J., Arseneault, Louise, Korhonen, Tellervo, Vuoksimaa, Eero, Felix, Janine, Bakermans-Kranenburg, Marian, Campbell, Archie, Czamara, Darina, Binder, Elisabeth, Corpeleijn, Eva, Ramon Gonzalez, Juan, Grazuleviciene, Regina, Gutzkow, Kristine B., Evandt, Jorunn, Vafeiadi, Marina, Klein, Marieke, Meer, Dennis, Ligthart, Lannie, Kluft, Cornelis, Davies, Gareth E., Hakulinen, Christian, Keltikangas-Jarvinen, Liisa, Franke, Barbara, Freitag, Christine M., Konrad, Kerstin, Hervas, Amaia, Fernandez-Rivas, Aranzazu, Vetro, Agnes, Raitakari, Olli, Lehtimaki, Terho, Vermeiren, Robert, Strandberg, Timo, Raikkonen, Katri, Snieder, Harold, Witt, Stephanie H., Deuschle, Michael, Pedersen, Nancy L., Hagg, Sara, Sunyer, Jordi, Franke, Lude, Kaprio, Jaakko, Ollikainen, Miina, Moffitt, Terrie E., Tiemeier, Henning, Ijzendoorn, Marinus H., Relton, Caroline, Vrijheid, Martine, Sebert, Sylvain, Jarvelin, Marjo-Riitta, Caspi, Avshalom, Evans, Kathryn L., Mcintosh, Andrew M., Bartels, Meike, Boomsma, Dorret, Biological Psychology, APH - Mental Health, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, APH - Methodology, and Amsterdam Reproduction & Development
67. Additional file 4: of DNA methylation links prenatal smoking exposure to later life health outcomes in offspring
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Wiklund, Petri, Karhunen, Ville, Richmond, Rebecca, Parmar, Priyanka, Rodriguez, Alina, Maneka Silva, Wielscher, Matthias, Rezwan, Faisal, Richardson, Tom, Veijola, Juha, Karl-Heinz Herzig, Holloway, John, Relton, Caroline, Sebert, Sylvain, and Marjo-Riitta JäRvelin
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3. Good health - Abstract
Paternal smoking-adjusted association results of exposure to maternal smoking during pregnancy and offspring peripheral blood DNA methylation for the top CpG sites. (DOCX 14 kb)
68. Epigenome-wide association study meta-analysis of aggressive behavior
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Dongen, Jenny, Suderman, Matthew, Sugden, Karen, Ismail, Khadeeja, Mulder, Rosa H., Kupper, Leanne K., Bustamante, Mariona, Alemany, Silvia, Bonder, Marc Jan, Parmar, Priyanka, Lowry, Estelle, Jansen, Rick, Baselmans, Bart, Nivard, Michel, Corcoran, David, Poulton, Richie, Mill, Jon, Hannon, Eilis, Arseneault, Louise, Vuoksimaa, Eero, Ollikainen, Miina, Corpeleijn, Eva, Ligthart, Lannie, Relton, Caroline, Moffitt, Terrie, Caspi, Avshalom, Jaakko Kaprio, Tiemeier, Henning, Snieder, Harold, Sunyer, Jordi, Franke, Lude, Sebert, Sylvain, Marjo-riitta, Bartels, Meike, Boomsma, Dorret, Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), and Stem Cell Aging Leukemia and Lymphoma (SALL)
69. Additional file 4: of DNA methylation links prenatal smoking exposure to later life health outcomes in offspring
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Wiklund, Petri, Karhunen, Ville, Richmond, Rebecca, Parmar, Priyanka, Rodriguez, Alina, Maneka Silva, Wielscher, Matthias, Rezwan, Faisal, Richardson, Tom, Veijola, Juha, Karl-Heinz Herzig, Holloway, John, Relton, Caroline, Sebert, Sylvain, and Marjo-Riitta JäRvelin
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3. Good health - Abstract
Paternal smoking-adjusted association results of exposure to maternal smoking during pregnancy and offspring peripheral blood DNA methylation for the top CpG sites. (DOCX 14 kb)
70. Additional file 6: of DNA methylation links prenatal smoking exposure to later life health outcomes in offspring
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Wiklund, Petri, Karhunen, Ville, Richmond, Rebecca, Parmar, Priyanka, Rodriguez, Alina, Maneka Silva, Wielscher, Matthias, Rezwan, Faisal, Richardson, Tom, Veijola, Juha, Karl-Heinz Herzig, Holloway, John, Relton, Caroline, Sebert, Sylvain, and Marjo-Riitta JäRvelin
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respiratory tract diseases ,3. Good health - Abstract
CpG sites and their association with methylation in the ARIES cord blood data. (DOCX 14 kb)
71. Additional file 6: of DNA methylation links prenatal smoking exposure to later life health outcomes in offspring
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Wiklund, Petri, Karhunen, Ville, Richmond, Rebecca, Parmar, Priyanka, Rodriguez, Alina, Maneka Silva, Wielscher, Matthias, Rezwan, Faisal, Richardson, Tom, Veijola, Juha, Karl-Heinz Herzig, Holloway, John, Relton, Caroline, Sebert, Sylvain, and Marjo-Riitta JäRvelin
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respiratory tract diseases ,3. Good health - Abstract
CpG sites and their association with methylation in the ARIES cord blood data. (DOCX 14 kb)
72. The Legacy of Tolerance.
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Parmar, Priyanka
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PLAYGROUNDS ,GRANDFATHERS - Abstract
A personal narrative is presented which explores the author's experience in going to a children's playground with her grandfather.
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- 2011
73. Modulation of DMBA- induced biochemical and histopathological changes by Syzygium cumini seed extract during skin carcinogenesis
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Jyoti Parmar, Priyanka Sharma, Preeti Verma, Priyanka Sharma, P.K.Goyal, Int J Cur Biomed Phar Res.
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JOURNALS - Abstract
Aim & Method: The current study was designed to elucidate the protective effect of Syzygium cumini seed extract (SCE) on skin carcinogenesis induced by a single topical application of 7,12-dimethylbenz(a)anthracene (100 μg/100 μl of acetone) and 2 weeks later promoted by repeated application of croton oil (1% in acetone/three times a week) till the end of the experiment (16 weeks). Result: Oral administration of SCE at a dose of 125 mg/kg b.wt./day for 15 days at the peri-initiational stage (i.e., 7 days before & 7 days after DMBA application) and for 14 weeks at the promotional stage (i.e., from the time of croton oil application), revealed a significant reduction in lipid peroxidation (p<0.05-0.001) along with an elevation in the activities of enzymatic antioxidants (superoxide dismutase, p<0.05-0.001 & catalase, p<0.05-0.001), non-enzymatic antioxidant (reduced glutathione, p<0.05-0.01 & vitamin-C, p<0.01-0.001) and total proteins levels (p<0.01-0.001) when compared to the carcinogen treated control animals. Histopathological study revealed that dyskeratosis of the epidermis, deposition of keratinous pearl and epidermal hyperplasia in skin tumors of DMBA treated control and the same were found to be of lesser degree in both the SCE treated experimental animals. Conclusions: These results demonstrate that SCE ameliorate the DMBA/croton oil induced adverse biochemical and histopathological alterations during skin carcinogenesis in mice.
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- 2011
74. Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults
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Petri Wiklund, Melanie Waldenberger, Lili Milani, Wei Chen, André G. Uitterlinden, Hans J. Grabe, Pim van der Harst, Shengxu Li, Pashupati P. Mishra, John C. Chambers, Rae-Chi Huang, Jaspal S. Kooner, Giovanni Cugliari, Lawrence J. Beilin, Joyce B. J. van Meurs, Mika Kähönen, Rory P. Wilson, Phillip E. Melton, P. Eline Slagboom, Benjamin Lehne, Matthias Nauck, Simonetta Guarrera, Sylvain Sebert, Giuseppe Matullo, Matthias Wielscher, Weihua Zhang, Tao Zhang, Yan Zhang, Mikko Hurme, Niek de Klein, Hermann Brenner, Marjo-Riitta Järvelin, Krista Fischer, Annette Peters, Silva Kasela, Trevor A. Mori, Taulant Muka, Terho Lehtimäki, Oscar H. Franco, Leonard H. van den Berg, Pooja R. Mandaviya, Toby Andrew, Matthew Suderman, Marie Loh, Niek Verweij, Lude Franke, Ville Karhunen, Priyanka Parmar, Wolfgang Rathmann, Alexander Teumer, Jana Nano, Sonja Kunze, Estelle Lowry, Denise Anderson, Christian Gieger, Philippe Froguel, Dorret I. Boomsma, Jan H. Veldink, Marleen M.J. van Greevenbroek, Caroline L Relton, Salvatore Panico, Bastiaan T. Heijmans, Amélie Bonnefond, Stephan B. Felix, Olli T. Raitakari, Ben Schöttker, Maastricht Centre for Systems Biology, Interne Geneeskunde, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, RS: FSE MaCSBio, Internal Medicine, Epidemiology, Lee Kong Chian School of Medicine (LKCMedicine), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Parmar, Priyanka, Lowry, Estelle, Cugliari, Giovanni, Suderman, Matthew, Wilson, Rory, Karhunen, Ville, Andrew, Toby, Wiklund, Petri, Wielscher, Matthia, Guarrera, Simonetta, Teumer, Alexander, Lehne, Benjamin, Milani, Lili, de Klein, Niek, Mishra, Pashupati P, Melton, Phillip E, Mandaviya, Pooja R, Kasela, Silva, Nano, Jana, Zhang, Weihua, Zhang, Yan, Uitterlinden, Andre G, Peters, Annette, Schöttker, Ben, Gieger, Christian, Anderson, Denise, Boomsma, Dorret I, Grabe, Hans J, Panico, Salvatore, Veldink, Jan H, van Meurs, Joyce B J, van den Berg, Leonard, Beilin, Lawrence J, Franke, Lude, Loh, Marie, van Greevenbroek, Marleen M J, Nauck, Matthia, Kähönen, Mika, Hurme, Mikko A, Raitakari, Olli T, Franco, Oscar H, Slagboom, P Eline, van der Harst, Pim, Kunze, Sonja, Schill, FELIX STEPHAN, Zhang, Tao, Chen, Wei, Mori, Trevor A, Bonnefond, Amelie, Heijmans, Bastiaan T, Muka, Taulant, Kooner, Jaspal S, Fischer, Krista, Waldenberger, Melanie, Froguel, Philippe, Huang, Rae-Chi, Lehtimäki, Terho, Rathmann, Wolfgang, Relton, Caroline L, Matullo, Giuseppe, Brenner, Hermann, Verweij, Niek, Li, Shengxu, Chambers, John C, Järvelin, Marjo-Riitta, Sebert, Sylvain, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), and Stem Cell Aging Leukemia and Lymphoma (SALL)
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Genetics and Molecular Biology (all) ,Male ,Netherlands Twin Register (NTR) ,0301 basic medicine ,Research paper ,GFI1 protein, human ,GFI1-locus ,raskaus ,Research & Experimental Medicine ,cardio-metabolic phenotypes ,Biochemistry ,Epigenesis, Genetic ,GLOBAL Meth QTL Consortium ,0302 clinical medicine ,Pregnancy ,Smoke ,030212 general & internal medicine ,maternal prenatal smoking ,DNA METHYLATION ,media_common ,RISK ,2. Zero hunger ,education.field_of_study ,Smoking ,ta3142 ,General Medicine ,Middle Aged ,genetics [Transcription Factors] ,3. Good health ,DNA-Binding Proteins ,Phenotype ,Medicine, Research & Experimental ,CARDIOVASCULAR-DISEASE ,epigenetiikka ,Population Surveillance ,Prenatal Exposure Delayed Effects ,DNA methylation ,Female ,Disease Susceptibility ,BIOS Consortium ,Medical Genetics ,Life Sciences & Biomedicine ,Adult ,medicine.medical_specialty ,Offspring ,Birth weight ,Population ,Mothers ,genetics [DNA-Binding Proteins] ,ta3111 ,Methylation ,General Biochemistry, Genetics and Molecular Biology ,DIET ,03 medical and health sciences ,Medicine, General & Internal ,SDG 3 - Good Health and Well-being ,tupakointi ,General & Internal Medicine ,Internal medicine ,medicine ,media_common.cataloged_instance ,Humans ,ddc:610 ,adverse effects [Maternal Exposure] ,EXPOSURE ,Epigenetics ,European union ,education ,Medicinsk genetik ,EPIGENOME-WIDE ASSOCIATION ,Biochemistry, Genetics and Molecular Biology (all) ,Science & Technology ,business.industry ,adverse effects [Smoking] ,DNA Methylation ,ta3121 ,medicine.disease ,BIRTH-WEIGHT ,030104 developmental biology ,Endocrinology ,Genetic Loci ,sydän- ja verisuonitaudit ,CpG Islands ,CIGARETTE-SMOKING ,CESSATION ,Energy Metabolism ,metabolism [Myocardium] ,business ,Body mass index ,Biomarkers ,Transcription Factors - Abstract
Background: DNA methylation at the GFI1-locus has been repeatedly associated with exposure to smoking from the foetal period onwards. We explored whether DNA methylation may be a mechanism that links exposure to maternal prenatal smoking with offspring's adult cardio-metabolic health.Methods: We meta-analysed the association between DNA methylation at GFI1-locus with maternal prenatal smoking, adult own smoking, and cardio-metabolic phenotypes in 22 population-based studies from Europe, Australia, and USA (n= 18,212). DNA methylation at the GFI1-locus was measured in whole-blood. Multivariable regression models were fitted to examine its association with exposure to prenatal and own adult smoking. DNA methylation levels were analysed in relation to body mass index (BMI), waist circumference (WC), fasting glucose (FG), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), diastolic, and systolic blood pressure (BP).Findings: Lower DNA methylation at three out of eight GFI1-CpGs was associated with exposure to maternal prenatal smoking, whereas, all eight CpGs were associated with adult own smoking. Lower DNA methylation at cg14179389, the strongest maternal prenatal smoking locus, was associated with increased WC and BP when adjusted for sex, age, and adult smoking with Bonferroni-corrected P Interpretation: Epigenetic changes at the GFI1 were linked to smoking exposure in-utero/in-adulthood and robustly associated with cardio-metabolic risk factors. Fund: European Union's Horizon 2020 research and innovation programme under grant agreement no. 633595 DynaHEALTH. (c) 2018 The Authors. Published by Elsevier B.V.
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75. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan.
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van Dongen J, Hagenbeek FA, Suderman M, Roetman PJ, Sugden K, Chiocchetti AG, Ismail K, Mulder RH, Hafferty JD, Adams MJ, Walker RM, Morris SW, Lahti J, Küpers LK, Escaramis G, Alemany S, Jan Bonder M, Meijer M, Ip HF, Jansen R, Baselmans BML, Parmar P, Lowry E, Streit F, Sirignano L, Send TS, Frank J, Jylhävä J, Wang Y, Mishra PP, Colins OF, Corcoran DL, Poulton R, Mill J, Hannon E, Arseneault L, Korhonen T, Vuoksimaa E, Felix JF, Bakermans-Kranenburg MJ, Campbell A, Czamara D, Binder E, Corpeleijn E, Gonzalez JR, Grazuleviciene R, Gutzkow KB, Evandt J, Vafeiadi M, Klein M, van der Meer D, Ligthart L, Kluft C, Davies GE, Hakulinen C, Keltikangas-Järvinen L, Franke B, Freitag CM, Konrad K, Hervas A, Fernández-Rivas A, Vetro A, Raitakari O, Lehtimäki T, Vermeiren R, Strandberg T, Räikkönen K, Snieder H, Witt SH, Deuschle M, Pedersen NL, Hägg S, Sunyer J, Franke L, Kaprio J, Ollikainen M, Moffitt TE, Tiemeier H, van IJzendoorn MH, Relton C, Vrijheid M, Sebert S, Jarvelin MR, Caspi A, Evans KL, McIntosh AM, Bartels M, and Boomsma DI
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- Adolescent, Adult, Aged, Aggression, Child, Child, Preschool, CpG Islands genetics, Epigenesis, Genetic genetics, Genome-Wide Association Study, Humans, Longevity, Middle Aged, Young Adult, DNA Methylation genetics, Epigenome
- Abstract
DNA methylation profiles of aggressive behavior may capture lifetime cumulative effects of genetic, stochastic, and environmental influences associated with aggression. Here, we report the first large meta-analysis of epigenome-wide association studies (EWAS) of aggressive behavior (N = 15,324 participants). In peripheral blood samples of 14,434 participants from 18 cohorts with mean ages ranging from 7 to 68 years, 13 methylation sites were significantly associated with aggression (alpha = 1.2 × 10
-7 ; Bonferroni correction). In cord blood samples of 2425 children from five cohorts with aggression assessed at mean ages ranging from 4 to 7 years, 83% of these sites showed the same direction of association with childhood aggression (r = 0.74, p = 0.006) but no epigenome-wide significant sites were found. Top-sites (48 at a false discovery rate of 5% in the peripheral blood meta-analysis or in a combined meta-analysis of peripheral blood and cord blood) have been associated with chemical exposures, smoking, cognition, metabolic traits, and genetic variation (mQTLs). Three genes whose expression levels were associated with top-sites were previously linked to schizophrenia and general risk tolerance. At six CpGs, DNA methylation variation in blood mirrors variation in the brain. On average 44% (range = 3-82%) of the aggression-methylation association was explained by current and former smoking and BMI. These findings point at loci that are sensitive to chemical exposures with potential implications for neuronal functions. We hope these results to be a starting point for studies leading to applications as peripheral biomarkers and to reveal causal relationships with aggression and related traits., (© 2021. The Author(s).)- Published
- 2021
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