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3,258 results on '"Jaddoe, Vincent"'

1. Maternal age is related to offspring DNA methylation: A meta‐analysis of results from the PACE consortium

Author

Yeung, Edwina, Biedrzycki, Richard J, Herrera, Laura C Gómez, Issarapu, Prachand, Dou, John, Marques, Irene Fontes, Mansuri, Sohail Rafik, Page, Christian Magnus, Harbs, Justin, Khodasevich, Dennis, Poisel, Eric, Niu, Zhongzheng, Allard, Catherine, Casey, Emma, Berstein, Fernanda Morales, Mancano, Giulia, Elliott, Hannah R, Richmond, Rebecca, He, Yiyan, Ronkainen, Justiina, Sebert, Sylvain, Bell, Erin M, Sharp, Gemma, Mumford, Sunni L, Schisterman, Enrique F, Chandak, Giriraj R, Fall, Caroline HD, Sahariah, Sirazul A, Silver, Matt J, Prentice, Andrew M, Bouchard, Luigi, Domellof, Magnus, West, Christina, Holland, Nina, Cardenas, Andres, Eskenazi, Brenda, Zillich, Lea, Witt, Stephanie H, Send, Tabea, Breton, Carrie, Bakulski, Kelly M, Fallin, M Daniele, Schmidt, Rebecca J, Stein, Dan J, Zar, Heather J, Jaddoe, Vincent WV, Wright, John, Grazuleviciene, Regina, Gutzkow, Kristine Bjerve, Sunyer, Jordi, Huels, Anke, Vrijheid, Martine, Harlid, Sophia, London, Stephanie, Hivert, Marie‐France, Felix, Janine, Bustamante, Mariona, and Guan, Weihua

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Prevention, Human Genome, Clinical Research, Women's Health, Aging, Pediatric, Good Health and Well Being, DNA Methylation, Humans, Female, Maternal Age, Infant, Newborn, Child, Adult, Male, Child, Preschool, CpG Islands, Pregnancy, aging, child, DNA methylation, melatonin, receptor, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Worldwide trends to delay childbearing have increased parental ages at birth. Older parental age may harm offspring health, but mechanisms remain unclear. Alterations in offspring DNA methylation (DNAm) patterns could play a role as aging has been associated with methylation changes in gametes of older individuals. We meta-analyzed epigenome-wide associations of parental age with offspring blood DNAm of over 9500 newborns and 2000 children (5-10 years old) from the Pregnancy and Childhood Epigenetics consortium. In newborns, we identified 33 CpG sites in 13 loci with DNAm associated with maternal age (PFDR

Published
2024

4. Maternal educational attainment in pregnancy and epigenome-wide DNA methylation changes in the offspring from birth until adolescence

Author

Choudhary, Priyanka, Monasso, Giulietta S, Karhunen, Ville, Ronkainen, Justiina, Mancano, Giulia, Howe, Caitlin G, Niu, Zhongzheng, Zeng, Xuehuo, Guan, Weihua, Dou, John, Feinberg, Jason I, Mordaunt, Charles, Pesce, Giancarlo, Baïz, Nour, Alfano, Rossella, Martens, Dries S, Wang, Congrong, Isaevska, Elena, Keikkala, Elina, Mustaniemi, Sanna, Thio, Chris HL, Fraszczyk, Eliza, Tobi, Elmar W, Starling, Anne P, Cosin-Tomas, Marta, Urquiza, Jose, Röder, Stefan, Hoang, Thanh T, Page, Christian, Jima, Dereje D, House, John S, Maguire, Rachel L, Ott, Raffael, Pawlow, Xenia, Sirignano, Lea, Zillich, Lea, Malmberg, Anni, Rauschert, Sebastian, Melton, Phillip, Gong, Tong, Karlsson, Robert, Fore, Ruby, Perng, Wei, Laubach, Zachary M, Czamara, Darina, Sharp, Gemma, Breton, Carrie V, Schisterman, Enrique, Yeung, Edwina, Mumford, Sunni L, Fallin, M Daniele, LaSalle, Janine M, Schmidt, Rebecca J, Bakulski, Kelly M, Annesi-Maesano, Isabella, Heude, Barbara, Nawrot, Tim S, Plusquin, Michelle, Ghantous, Akram, Herceg, Zdenko, Nisticò, Lorenza, Vafeiadi, Marina, Kogevinas, Manolis, Vääräsmäki, Marja, Kajantie, Eero, Snieder, Harold, Corpeleijn, Eva, Steegers-Theunissen, Regine PM, Yang, Ivana V, Dabelea, Dana, Fossati, Serena, Zenclussen, Ana C, Herberth, Gunda, Magnus, Maria, Håberg, Siri E, London, Stephanie J, Munthe-Kaas, Monica Cheng, Murphy, Susan K, Hoyo, Cathrine, Ziegler, Anette-G, Hummel, Sandra, Witt, Stephanie H, Streit, Fabian, Frank, Josef, Räikkönen, Katri, Lahti, Jari, Huang, Rae-chi, Almqvist, Catarina, Hivert, Marie-France, Jaddoe, Vincent WV, Järvelin, Marjo-Riitta, Kantomaa, Marko, Felix, Janine F, and Sebert, Sylvain

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Prevention, Nutrition, Women's Health, Maternal Health, Human Genome, Pediatric, Social Determinants of Health, Genetics, Pregnancy, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, 1.1 Normal biological development and functioning, Generic health relevance, Reproductive health and childbirth, Good Health and Well Being, Humans, DNA Methylation, Female, Adolescent, Epigenome, Child, Educational Status, Male, Genome-Wide Association Study, Epigenesis, Genetic, Prenatal Exposure Delayed Effects, Child, Preschool, Infant, Mothers, Infant, Newborn, Adult, Academic Success, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Maternal educational attainment (MEA) shapes offspring health through multiple potential pathways. Differential DNA methylation may provide a mechanistic understanding of these long-term associations. We aimed to quantify the associations of MEA with offspring DNA methylation levels at birth, in childhood and in adolescence. Using 37 studies from high-income countries, we performed meta-analysis of epigenome-wide association studies (EWAS) to quantify the associations of completed years of MEA at the time of pregnancy with offspring DNA methylation levels at birth (n = 9 881), in childhood (n = 2 017), and adolescence (n = 2 740), adjusting for relevant covariates. MEA was found to be associated with DNA methylation at 473 cytosine-phosphate-guanine sites at birth, one in childhood, and four in adolescence. We observed enrichment for findings from previous EWAS on maternal folate, vitamin-B12 concentrations, maternal smoking, and pre-pregnancy BMI. The associations were directionally consistent with MEA being inversely associated with behaviours including smoking and BMI. Our findings form a bridge between socio-economic factors and biology and highlight potential pathways underlying effects of maternal education. The results broaden our understanding of bio-social associations linked to differential DNA methylation in multiple early stages of life. The data generated also offers an important resource to help a more precise understanding of the social determinants of health.

Published
2024

5. A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation

Author

Li, Shaobo, Spitz, Natalia, Ghantous, Akram, Abrishamcar, Sarina, Reimann, Brigitte, Marques, Irene, Silver, Matt J, Aguilar-Lacasaña, Sofía, Kitaba, Negusse, Rezwan, Faisal I, Röder, Stefan, Sirignano, Lea, Tuhkanen, Johanna, Mancano, Giulia, Sharp, Gemma C, Metayer, Catherine, Morimoto, Libby, Stein, Dan J, Zar, Heather J, Alfano, Rossella, Nawrot, Tim, Wang, Congrong, Kajantie, Eero, Keikkala, Elina, Mustaniemi, Sanna, Ronkainen, Justiina, Sebert, Sylvain, Silva, Wnurinham, Vääräsmäki, Marja, Jaddoe, Vincent WV, Bernstein, Robin M, Prentice, Andrew M, Cosin-Tomas, Marta, Dwyer, Terence, Håberg, Siri Eldevik, Herceg, Zdenko, Magnus, Maria C, Munthe-Kaas, Monica Cheng, Page, Christian M, Völker, Maja, Gilles, Maria, Send, Tabea, Witt, Stephanie, Zillich, Lea, Gagliardi, Luigi, Richiardi, Lorenzo, Czamara, Darina, Räikkönen, Katri, Chatzi, Lida, Vafeiadi, Marina, Arshad, S Hasan, Ewart, Susan, Plusquin, Michelle, Felix, Janine F, Moore, Sophie E, Vrijheid, Martine, Holloway, John W, Karmaus, Wilfried, Herberth, Gunda, Zenclussen, Ana, Streit, Fabian, Lahti, Jari, Hüls, Anke, Hoang, Thanh T, London, Stephanie J, and Wiemels, Joseph L

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Genetics, Biological Sciences, Human Genome, Contraception/Reproduction, Pediatric, Clinical Research, Perinatal Period - Conditions Originating in Perinatal Period, 2.1 Biological and endogenous factors, Aetiology, Reproductive health and childbirth, Good Health and Well Being, Child, Female, Humans, Infant, Newborn, Pregnancy, Birth Order, DNA Methylation, Epigenesis, Genetic, Epigenomics, Biological sciences, Biomedical and clinical sciences
Abstract

Higher birth order is associated with altered risk of many disease states. Changes in placentation and exposures to in utero growth factors with successive pregnancies may impact later life disease risk via persistent DNA methylation alterations. We investigated birth order with Illumina DNA methylation array data in each of 16 birth cohorts (8164 newborns) with European, African, and Latino ancestries from the Pregnancy and Childhood Epigenetics Consortium. Meta-analyzed data demonstrated systematic DNA methylation variation in 341 CpGs (FDR adjusted P

Published
2024

6. A meta-analysis of epigenome-wide association studies on pregnancy vitamin B12 concentrations and offspring DNA methylation

Author

Monasso, Giulietta S, Hoang, Thanh T, Mancano, Giulia, Fernández-Barrés, Sílvia, Dou, John, Jaddoe, Vincent WV, Page, Christian M, Johnson, Laura, Bustamante, Mariona, Bakulski, Kelly M, Håberg, Siri E, Ueland, Per M, Battram, Thomas, Merid, Simon K, Melén, Erik, Caramaschi, Doretta, Küpers, Leanne K, Sunyer, Jordi, Nystad, Wenche, Heil, Sandra G, Schmidt, Rebecca J, Vrijheid, Martine, Sharp, Gemma C, London, Stephanie J, and Felix, Janine F

Subjects
Biological Sciences, Genetics, Pediatric, Prevention, Nutrition, Perinatal Period - Conditions Originating in Perinatal Period, Reproductive health and childbirth, Good Health and Well Being, Infant, Newborn, Pregnancy, Child, Female, Humans, DNA Methylation, Epigenome, Birth Weight, Vitamin B 12, Epigenesis, Genetic, Fetal Blood, Vitamin B12, DNA methylation, epidemiology, cohort study, meta-analysis, PACE consortium, Biochemistry and Cell Biology, Medical Biochemistry and Metabolomics, Developmental Biology, Biochemistry and cell biology
Abstract

Circulating vitamin B12 concentrations during pregnancy are associated with offspring health. Foetal DNA methylation changes could underlie these associations. Within the Pregnancy And Childhood Epigenetics Consortium, we meta-analysed epigenome-wide associations of circulating vitamin B12 concentrations in mothers during pregnancy (n = 2,420) or cord blood (n = 1,029), with cord blood DNA methylation. Maternal and newborn vitamin B12 concentrations were associated with DNA methylation at 109 and 7 CpGs, respectively (False Discovery Rate P-value

Published
2023

7. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude.

Author

Rzehak, Peter, Grote, Veit, Langhendries, Jean-Paul, Verduci, Elvira, Ferre, Natalia, Gruszfeld, Darek, Gao, Lu, Guan, Weihua, Zeng, Xuehuo, Schisterman, Enrique, Dou, John, Bakulski, Kelly, Feinberg, Jason, Soomro, Munawar, Pesce, Giancarlo, Baiz, Nour, Isaevska, Elena, Plusquin, Michelle, Vafeiadi, Marina, Roumeliotaki, Theano, Langie, Sabine, Standaert, Arnout, Allard, Catherine, Perron, Patrice, Bouchard, Luigi, van Meel, Evelien, Felix, Janine, Jaddoe, Vincent, Yousefi, Paul, Ramlau-Hansen, Cecilia, Relton, Caroline, Tobi, Elmar, Starling, Anne, Yang, Ivana, Llambrich, Maria, Santorelli, Gillian, Lepeule, Johanna, Salas, Lucas, Bustamante, Mariona, Ewart, Susan, Zhang, Hongmei, Karmaus, Wilfried, Röder, Stefan, Zenclussen, Ana, Jin, Jianping, Nystad, Wenche, Page, Christian, Magnus, Maria, Jima, Dereje, Hoyo, Cathrine, Maguire, Rachel, Kvist, Tuomas, Czamara, Darina, Räikkönen, Katri, Gong, Tong, Ullemar, Vilhelmina, Rifas-Shiman, Sheryl, Oken, Emily, Almqvist, Catarina, Karlsson, Robert, Lahti, Jari, Murphy, Susan, Håberg, Siri, London, Stephanie, Herberth, Gunda, Kadalayil, Latha, Alam, Md, White, Cory, Ghantous, Akram, Walton, Esther, Gruzieva, Olena, Merid, Simon, Kumar, Ashish, Roy, Ritu, Solomon, Olivia, Huen, Karen, Arshad, Hasan, Sunyer, Jordi, Grazuleviciene, Regina, Dabelea, Dana, Steegers-Theunissen, Régine, Nohr, Ellen, Sørensen, Thorkild, Duijts, Liesbeth, Hivert, Marie-France, Nelen, Vera, Popovic, Maja, Kogevinas, Manolis, Nawrot, Tim, Herceg, Zdenko, Annesi-Maesano, Isabella, Fallin, M, Yeung, Edwina, Breton, Carrie, Koletzko, Berthold, Wiemels, Joseph, Melén, Erik, Sharp, Gemma, Silver, Matt, and Rezwan, Faisal

Subjects
Birth season, DNA methylation, Differentially methylated regions (DMR), Latitude, Meta-analysis, PACE, Child, Child, Preschool, Humans, Infant, Infant, Newborn, Asthma, Carcinogenesis, DNA Methylation, Inflammation, Seasons
Abstract

BACKGROUND: Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear. METHODS: We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points. RESULTS: We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values

Published
2023

8. Life course approach in obstetrics and gynaecology for patient care, education and research

Author

Schoenmakers, Sam, Dankbaar, Mary E. W., Hilders, Carina G. J. M., Jaddoe, Vincent W. V., Hoek, Annemieke, de Groot, Christianne J. M., Zweemer, Ronald P., Steegers, Eric A. P., Steegers, Eric A.P., editor, de Groot, Christianne J.M., editor, Hilders, Carina G.J.M., editor, Hoek, Annemieke, editor, Jaddoe, Vincent W.V., editor, Schoenmakers, Sam, editor, and Zweemer, Ronald P., editor

Published
2024
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9. Future perspectives part III

Author

Jaddoe, Vincent W. V., Fauser, Bart C. J. M., Steegers, Eric A.P., editor, de Groot, Christianne J.M., editor, Hilders, Carina G.J.M., editor, Hoek, Annemieke, editor, Jaddoe, Vincent W.V., editor, Schoenmakers, Sam, editor, and Zweemer, Ronald P., editor

Published
2024
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10. Birth and the neonatal period

Author

Rob Taal, H., Reiss, Irwin K. M., Lopriore, Enrico, Jaddoe, Vincent W. V., Steegers, Eric A.P., editor, de Groot, Christianne J.M., editor, Hilders, Carina G.J.M., editor, Hoek, Annemieke, editor, Jaddoe, Vincent W.V., editor, Schoenmakers, Sam, editor, and Zweemer, Ronald P., editor

Published
2024
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11. Life course approach in women’s health

Author

Gaillard, Romy, Godfrey, Keith M., Jaddoe, Vincent W. V., Steegers, Eric A.P., editor, de Groot, Christianne J.M., editor, Hilders, Carina G.J.M., editor, Hoek, Annemieke, editor, Jaddoe, Vincent W.V., editor, Schoenmakers, Sam, editor, and Zweemer, Ronald P., editor

Published
2024
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14. Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth

Author

Beaumont, Robin N., Flatley, Christopher, Vaudel, Marc, Wu, Xiaoping, Chen, Jing, Moen, Gunn-Helen, Skotte, Line, Helgeland, Øyvind, Solé-Navais, Pol, Banasik, Karina, Albiñana, Clara, Ronkainen, Justiina, Fadista, João, Stinson, Sara Elizabeth, Trajanoska, Katerina, Wang, Carol A., Westergaard, David, Srinivasan, Sundararajan, Sánchez-Soriano, Carlos, Bilbao, Jose Ramon, Allard, Catherine, Groleau, Marika, Kuulasmaa, Teemu, Leirer, Daniel J., White, Frédérique, Jacques, Pierre-Étienne, Cheng, Haoxiang, Hao, Ke, Andreassen, Ole A., Åsvold, Bjørn Olav, Atalay, Mustafa, Bhatta, Laxmi, Bouchard, Luigi, Brumpton, Ben Michael, Brunak, Søren, Bybjerg-Grauholm, Jonas, Ebbing, Cathrine, Elliott, Paul, Engelbrechtsen, Line, Erikstrup, Christian, Estarlich, Marisa, Franks, Stephen, Gaillard, Romy, Geller, Frank, Grove, Jakob, Hougaard, David M., Kajantie, Eero, Morgen, Camilla S., Nohr, Ellen A., Nyegaard, Mette, Palmer, Colin N. A., Pedersen, Ole Birger, Rivadeneira, Fernando, Sebert, Sylvain, Shields, Beverley M., Stoltenberg, Camilla, Surakka, Ida, Thørner, Lise Wegner, Ullum, Henrik, Vaarasmaki, Marja, Vilhjalmsson, Bjarni J., Willer, Cristen J., Lakka, Timo A., Gybel-Brask, Dorte, Bustamante, Mariona, Hansen, Torben, Pearson, Ewan R., Reynolds, Rebecca M., Ostrowski, Sisse R., Pennell, Craig E., Jaddoe, Vincent W. V., Felix, Janine F., Hattersley, Andrew T., Melbye, Mads, Lawlor, Deborah A., Hveem, Kristian, Werge, Thomas, Nielsen, Henriette Svarre, Magnus, Per, Evans, David M., Jacobsson, Bo, Järvelin, Marjo-Riitta, Zhang, Ge, Hivert, Marie-France, Johansson, Stefan, Freathy, Rachel M., Feenstra, Bjarke, and Njølstad, Pål R.

Published
2023
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15. A National Surveillance Survey on Noncommunicable Disease Risk Factors: Suriname Health Study Protocol

Author

Krishnadath, Ingrid SK, Smits, Christel CF, Jaddoe, Vincent WV, Hofman, Albert, and Toelsie, Jerry R

Subjects
Medicine, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

BackgroundNoncommunicable diseases (NCDs) are the leading cause of death in low- and middle-income countries. Therefore, the surveillance of risk factors has become an issue of major importance for planning and implementation of preventive measures. Unfortunately, in these countries data on NCDs and their risk factors are limited. This also prevails in Suriname, a middle-income country of the Caribbean, with a multiethnic/multicultural population living in diverse residential areas. For these reasons, “The Suriname Health Study” was designed. ObjectiveThe main objective of this study is to estimate the prevalence of NCD risk factors, including metabolic syndrome, hypertension, and diabetes in Suriname. Differences between specific age groups, sexes, ethnic groups, and geographical areas will be emphasized. In addition, risk groups will be identified and targeted actions will be designed and evaluated. MethodsIn this study, several methodologies were combined. A stratified multistage cluster sample was used to select the participants of 6 ethnic groups (Hindustani, Creole, Javanese, Maroon, Chinese, Amerindians, and mixed) divided into 5 age groups (between 15 and 65 years) who live in urban/rural areas or the hinterland. A standardized World Health Organization STEPwise approach to surveillance questionnaire was adapted and used to obtain information about demographic characteristics, lifestyle, and risk factors. Physical examinations were performed to measure blood pressure, height, weight, and waist circumference. Biochemical analysis of collected blood samples evaluated the levels of glucose, high-density-lipoprotein cholesterol, total cholesterol, and triglycerides. Statistical analysis will be used to identify the burden of modifiable and unmodifiable risk factors in the aforementioned subgroups. Subsequently, tailor-made interventions will be prepared and their effects will be evaluated. ResultsThe data as collected allow for national inference and valid analysis of the age, sex, and ethnicity subgroups in the Surinamese population. A publication of the basic survey results is anticipated in mid-2015. Secondary results on the effect of targeted lifestyle interventions are anticipated in late 2017. ConclusionsUsing the data collected in this study, the national prevalence of NCD risk factors will be approximated and described in a diverse population. This study is an entry point for formulating the structure of NCD prevention and surveillance.

Published
2015
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16. Socioeconomic position during pregnancy and pre-school exposome in children from eight European birth cohort studies

Author

Pizzi, Costanza, Moirano, Giovenale, Moccia, Chiara, Maule, Milena, D'Errico, Antonio, Vrijheid, Martine, Cadman, Timothy J., Fossati, Serena, Nieuwenhuijsen, Mark, Beneito, Andrea, Calas, Lucinda, Duijts, Liesbeth, Elhakeem, Ahmed, Harris, Jennifer R., Heude, Barbara, Jaddoe, Vincent, Lawlor, Deborah A., Lioret, Sandrine, McEachan, Rosemary RC., Nader, Johanna L., Pedersen, Marie, Pinot de Moira, Angela, Strandberg-Larsen, Katrine, Subiza-Pérez, Mikel, Vafeiadi, Marina, Welten, Marieke, Wright, John, Yang, Tiffany C., and Richiardi, Lorenzo

Published
2024
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19. Age-specific SARS-CoV-2 transmission differed from human rhinovirus in households during the early COVID-19 pandemic

Author

Boom, Trisja T., de Hoog, Marieke L.A., Westerhof, Ilse, Jaddoe, Vincent, Heuvelman, Valerie D., Fourie, Elandri, Sluiter-Post, Judith G.C., Badoux, Paul, Euser, Sjoerd, Herpers, Bjorn, Sanders, Elisabeth A.M., Eggink, Dirk, Reusken, Chantal, Bont, Louis J., Wildenbeest, Joanne G., van Houten, Marlies A., Duijts, Liesbeth, and Bruijning-Verhagen, Patricia C.J.L.

Published
2024
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20. Green spaces and respiratory, cardiometabolic, and neurodevelopmental outcomes: An individual-participant data meta-analysis of >35.000 European children

Author

Fernandes, Amanda, Avraam, Demetris, Cadman, Tim, Dadvand, Payam, Guxens, Mònica, Binter, Anne-Claire, Pinot de Moira, Angela, Nieuwenhuijsen, Mark, Duijts, Liesbeth, Julvez, Jordi, De Castro, Montserrat, Fossati, Serena, Márquez, Sandra, Vrijkotte, Tanja, Elhakeem, Ahmed, McEachan, Rosemary, Yang, Tiffany, Pedersen, Marie, Vinther, Johan, Lepeule, Johanna, Heude, Barbara, Jaddoe, Vincent W.V., Santos, Susana, Welten, Marieke, El Marroun, Hanan, Mian, Annemiek, Andrušaitytė, Sandra, Lertxundi, Aitana, Ibarluzea, Jesús, Ballester, Ferran, Esplugues, Ana, Torres Toda, Maria, Harris, Jennifer R., Lucia Thorbjørnsrud Nader, Johanna, Moirano, Giovenale, Maritano, Silvia, Catherine Wilson, Rebecca, and Vrijheid, Martine

Published
2024
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23. Green space exposure and blood DNA methylation at birth and in childhood – A multi-cohort study

Author

Aguilar-Lacasaña, Sofia, Fontes Marques, Irene, de Castro, Montserrat, Dadvand, Payam, Escribà, Xavier, Fossati, Serena, González, Juan R, Nieuwenhuijsen, Mark, Alfano, Rossella, Annesi-Maesano, Isabella, Brescianini, Sonia, Burrows, Kimberley, Calas, Lucinda, Elhakeem, Ahmed, Heude, Barbara, Hough, Amy, Isaevska, Elena, W V Jaddoe, Vincent, Lawlor, Deborah A, Monaghan, Genevieve, Nawrot, Tim, Plusquin, Michelle, Richiardi, Lorenzo, Watmuff, Aidan, Yang, Tiffany C., Vrijheid, Martine, F Felix, Janine, and Bustamante, Mariona

Published
2024
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25. Genome-Wide Analyses of Vocabulary Size in Infancy and Toddlerhood: Associations With Attention-Deficit/Hyperactivity Disorder, Literacy, and Cognition-Related Traits

Author

Andreassen, Ole A., Bartels, Meike, Boomsma, Dorret, Dale, Philip S., Ehli, Erik, Fernandez-Orth, Dietmar, Guxens, Mònica, Hakulinen, Christian, Harris, Kathleen Mullan, Haworth, Simon, de Hoyos, Lucía, Jaddoe, Vincent, Keltikangas-Järvinen, Liisa, Lehtimäki, Terho, Middeldorp, Christel, Min, Josine L., Mishra, Pashupati P., Njølstad, Pål Rasmus, Sunyer, Jordi, Tate, Ashley E., Timpson, Nicholas, van der Laan, Camiel, Vrijheid, Martine, Vuoksimaa, Eero, Whipp, Alyce, Ystrom, Eivind, ACTION Consortium, Barwon Infant Study investigator group, Verhoef, Ellen, Allegrini, Andrea G., Jansen, Philip R., Lange, Katherine, Wang, Carol A., Morgan, Angela T., Ahluwalia, Tarunveer S., Symeonides, Christos, Eising, Else, Franken, Marie-Christine, Hypponen, Elina, Mansell, Toby, Olislagers, Mitchell, Omerovic, Emina, Rimfeld, Kaili, Schlag, Fenja, Selzam, Saskia, Shapland, Chin Yang, Tiemeier, Henning, Whitehouse, Andrew J.O., Saffery, Richard, Bønnelykke, Klaus, Reilly, Sheena, Pennell, Craig E., Wake, Melissa, Cecil, Charlotte A.M., Plomin, Robert, Fisher, Simon E., and St. Pourcain, Beate

Published
2024
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27. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Author

Kadalayil, Latha, Alam, Md. Zahangir, White, Cory Haley, Ghantous, Akram, Walton, Esther, Gruzieva, Olena, Merid, Simon Kebede, Kumar, Ashish, Roy, Ritu P., Solomon, Olivia, Huen, Karen, Eskenazi, Brenda, Rzehak, Peter, Grote, Veit, Langhendries, Jean-Paul, Verduci, Elvira, Ferre, Natalia, Gruszfeld, Darek, Gao, Lu, Guan, Weihua, Zeng, Xuehuo, Schisterman, Enrique F., Dou, John F., Bakulski, Kelly M., Feinberg, Jason I., Soomro, Munawar Hussain, Pesce, Giancarlo, Baiz, Nour, Isaevska, Elena, Plusquin, Michelle, Vafeiadi, Marina, Roumeliotaki, Theano, Langie, Sabine A. S., Standaert, Arnout, Allard, Catherine, Perron, Patrice, Bouchard, Luigi, van Meel, Evelien R., Felix, Janine F., Jaddoe, Vincent W. V., Yousefi, Paul D., Ramlau-Hansen, Cecilia H., Relton, Caroline L., Tobi, Elmar W., Starling, Anne P., Yang, Ivana V., Llambrich, Maria, Santorelli, Gillian, Lepeule, Johanna, Salas, Lucas A., Bustamante, Mariona, Ewart, Susan L., Zhang, Hongmei, Karmaus, Wilfried, Röder, Stefan, Zenclussen, Ana Claudia, Jin, Jianping, Nystad, Wenche, Page, Christian M., Magnus, Maria, Jima, Dereje D., Hoyo, Cathrine, Maguire, Rachel L., Kvist, Tuomas, Czamara, Darina, Räikkönen, Katri, Gong, Tong, Ullemar, Vilhelmina, Rifas-Shiman, Sheryl L., Oken, Emily, Almqvist, Catarina, Karlsson, Robert, Lahti, Jari, Murphy, Susan K., Håberg, Siri E., London, Stephanie, Herberth, Gunda, Arshad, Hasan, Sunyer, Jordi, Grazuleviciene, Regina, Dabelea, Dana, Steegers-Theunissen, Régine P. M., Nohr, Ellen A., Sørensen, Thorkild I. A., Duijts, Liesbeth, Hivert, Marie-France, Nelen, Vera, Popovic, Maja, Kogevinas, Manolis, Nawrot, Tim S., Herceg, Zdenko, Annesi-Maesano, Isabella, Fallin, M. Daniele, Yeung, Edwina, Breton, Carrie V., Koletzko, Berthold, Holland, Nina, Wiemels, Joseph L., Melén, Erik, Sharp, Gemma C., Silver, Matt J., Rezwan, Faisal I., and Holloway, John W.

Published
2023
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28. Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study

Author

Elhakeem, Ahmed, Ronkainen, Justiina, Mansell, Toby, Lange, Katherine, Mikkola, Tuija M., Mishra, Binisha H., Wahab, Rama J., Cadman, Tim, Yang, Tiffany, Burgner, David, Eriksson, Johan G., Järvelin, Marjo-Riitta, Gaillard, Romy, Jaddoe, Vincent W. V., Lehtimäki, Terho, Raitakari, Olli T., Saffery, Richard, Wake, Melissa, Wright, John, Sebert, Sylvain, and Lawlor, Deborah A.

Published
2023
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29. Depression, cardiometabolic disease, and their co-occurrence after childhood maltreatment: an individual participant data meta-analysis including over 200,000 participants

Author

Souama, Camille, Lamers, Femke, Milaneschi, Yuri, Vinkers, Christiaan H., Defina, Serena, Garvert, Linda, Stein, Frederike, Woofenden, Tom, Brosch, Katharina, Dannlowski, Udo, Galenkamp, Henrike, de Graaf, Ron, Jaddoe, Vincent W. V., Lok, Anja, van Rijn, Bas B., Völzke, Henry, Cecil, Charlotte A. M., Felix, Janine F., Grabe, Hans J., Kircher, Tilo, Lekadir, Karim, Have, Margreet ten, Walton, Esther, and Penninx, Brenda W. J. H.

Published
2023
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30. Haemoglobin thresholds to define anaemia from age 6 months to 65 years: estimates from international data sources

Author

Braat, Sabine, Fielding, Katherine L, Han, Jiru, Jackson, Victoria E, Zaloumis, Sophie, Xu, Jessica Xu Hui, Moir-Meyer, Gemma, Blaauwendraad, Sophia M, Jaddoe, Vincent W V, Gaillard, Romy, Parkin, Patricia C, Borkhoff, Cornelia M, Keown-Stoneman, Charles D G, Birken, Catherine S, Maguire, Jonathon L, Bahlo, Melanie, Davidson, Eliza M, and Pasricha, Sant-Rayn

Published
2024
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31. Urban environment in pregnancy and postpartum depression: An individual participant data meta-analysis of 12 European birth cohorts

Author

Cadman, Tim, Strandberg-Larsen, Katrine, Calas, Lucinda, Christiansen, Malina, Culpin, Iryna, Dadvand, Payam, de Castro, Montserrat, Foraster, Maria, Fossati, Serena, Guxens, Mònica, Harris, Jennifer R., Hillegers, Manon, Jaddoe, Vincent, Lee, Yunsung, Lepeule, Johanna, el Marroun, Hanan, Maule, Milena, McEachen, Rosie, Moccia, Chiara, Nader, Johanna, Nieuwenhuijsen, Mark, Nybo Andersen, Anne-Marie, Pearson, Rebecca, Swertz, Morris, Vafeiadi, Marina, Vrijheid, Martine, Wright, John, Lawlor, Deborah A, and Pedersen, Marie

Published
2024
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33. Prenatal Urban Environment and Blood Pressure Trajectories From Childhood to Early Adulthood

Author

Gonçalves Soares, Ana, Santos, Susana, Seyve, Emie, Nedelec, Rozenn, Puhakka, Soile, Eloranta, Aino-Maija, Mikkonen, Santtu, Yuan, Wen Lun, Lawlor, Deborah A., Heron, Jon, Vrijheid, Martine, Lepeule, Johanna, Nieuwenhuijsen, Mark, Fossati, Serena, Jaddoe, Vincent W.V., Lakka, Timo, Sebert, Sylvain, Heude, Barbara, Felix, Janine F., Elhakeem, Ahmed, and Timpson, Nicholas J.

Published
2024
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35. Meta-analysis of epigenome-wide association studies in newborns and children show widespread sex differences in blood DNA methylation.

Author

Solomon, Olivia, Huen, Karen, Yousefi, Paul, Küpers, Leanne K, González, Juan R, Suderman, Matthew, Reese, Sarah E, Page, Christian M, Gruzieva, Olena, Rzehak, Peter, Gao, Lu, Bakulski, Kelly M, Novoloaca, Alexei, Allard, Catherine, Pappa, Irene, Llambrich, Maria, Vives, Marta, Jima, Dereje D, Kvist, Tuomas, Baccarelli, Andrea, White, Cory, Rezwan, Faisal I, Sharp, Gemma C, Tindula, Gwen, Bergström, Anna, Grote, Veit, Dou, John F, Isaevska, Elena, Magnus, Maria C, Corpeleijn, Eva, Perron, Patrice, Jaddoe, Vincent WV, Nohr, Ellen A, Maitre, Lea, Foraster, Maria, Hoyo, Cathrine, Håberg, Siri E, Lahti, Jari, DeMeo, Dawn L, Zhang, Hongmei, Karmaus, Wilfried, Kull, Inger, Koletzko, Berthold, Feinberg, Jason I, Gagliardi, Luigi, Bouchard, Luigi, Ramlau-Hansen, Cecilia Høst, Tiemeier, Henning, Santorelli, Gillian, Maguire, Rachel L, Czamara, Darina, Litonjua, Augusto A, Langhendries, Jean-Paul, Plusquin, Michelle, Lepeule, Johanna, Binder, Elisabeth B, Verduci, Elvira, Dwyer, Terence, Carracedo, Ángel, Ferre, Natalia, Eskenazi, Brenda, Kogevinas, Manolis, Nawrot, Tim S, Munthe-Kaas, Monica C, Herceg, Zdenko, Relton, Caroline, Melén, Erik, Gruszfeld, Dariusz, Breton, Carrie, Fallin, MD, Ghantous, Akram, Nystad, Wenche, Heude, Barbara, Snieder, Harold, Hivert, Marie-France, Felix, Janine F, Sørensen, Thorkild IA, Bustamante, Mariona, Murphy, Susan K, Raikkönen, Katri, Oken, Emily, Holloway, John W, Arshad, Syed Hasan, London, Stephanie J, and Holland, Nina

Subjects
Humans, DNA Methylation, Epigenesis, Genetic, Pregnancy, Sex Characteristics, Adolescent, Child, Infant, Newborn, Female, Male, Epigenomics, Epigenome, Children, Cord blood, DNA methylation, EWAS, Sex, Digestive Diseases, Human Genome, Genetics, Prevention, Pediatric, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Toxicology
Abstract

BackgroundAmong children, sex-specific differences in disease prevalence, age of onset, and susceptibility have been observed in health conditions including asthma, immune response, metabolic health, some pediatric and adult cancers, and psychiatric disorders. Epigenetic modifications such as DNA methylation may play a role in the sexual differences observed in diseases and other physiological traits.MethodsWe performed a meta-analysis of the association of sex and cord blood DNA methylation at over 450,000 CpG sites in 8438 newborns from 17 cohorts participating in the Pregnancy And Childhood Epigenetics (PACE) Consortium. We also examined associations of child sex with DNA methylation in older children ages 5.5-10 years from 8 cohorts (n = 4268).ResultsIn newborn blood, sex was associated at Bonferroni level significance with differences in DNA methylation at 46,979 autosomal CpG sites (p

Published
2022

38. Large-scale association analyses identify host factors influencing human gut microbiome composition

Author

Kurilshikov, Alexander, Medina-Gomez, Carolina, Bacigalupe, Rodrigo, Radjabzadeh, Djawad, Wang, Jun, Demirkan, Ayse, Le Roy, Caroline I, Raygoza Garay, Juan Antonio, Finnicum, Casey T, Liu, Xingrong, Zhernakova, Daria V, Bonder, Marc Jan, Hansen, Tue H, Frost, Fabian, Rühlemann, Malte C, Turpin, Williams, Moon, Jee-Young, Kim, Han-Na, Lüll, Kreete, Barkan, Elad, Shah, Shiraz A, Fornage, Myriam, Szopinska-Tokov, Joanna, Wallen, Zachary D, Borisevich, Dmitrii, Agreus, Lars, Andreasson, Anna, Bang, Corinna, Bedrani, Larbi, Bell, Jordana T, Bisgaard, Hans, Boehnke, Michael, Boomsma, Dorret I, Burk, Robert D, Claringbould, Annique, Croitoru, Kenneth, Davies, Gareth E, van Duijn, Cornelia M, Duijts, Liesbeth, Falony, Gwen, Fu, Jingyuan, van der Graaf, Adriaan, Hansen, Torben, Homuth, Georg, Hughes, David A, Ijzerman, Richard G, Jackson, Matthew A, Jaddoe, Vincent WV, Joossens, Marie, Jørgensen, Torben, Keszthelyi, Daniel, Knight, Rob, Laakso, Markku, Laudes, Matthias, Launer, Lenore J, Lieb, Wolfgang, Lusis, Aldons J, Masclee, Ad AM, Moll, Henriette A, Mujagic, Zlatan, Qibin, Qi, Rothschild, Daphna, Shin, Hocheol, Sørensen, Søren J, Steves, Claire J, Thorsen, Jonathan, Timpson, Nicholas J, Tito, Raul Y, Vieira-Silva, Sara, Völker, Uwe, Völzke, Henry, Võsa, Urmo, Wade, Kaitlin H, Walter, Susanna, Watanabe, Kyoko, Weiss, Stefan, Weiss, Frank U, Weissbrod, Omer, Westra, Harm-Jan, Willemsen, Gonneke, Payami, Haydeh, Jonkers, Daisy MAE, Arias Vasquez, Alejandro, de Geus, Eco JC, Meyer, Katie A, Stokholm, Jakob, Segal, Eran, Org, Elin, Wijmenga, Cisca, Kim, Hyung-Lae, Kaplan, Robert C, Spector, Tim D, Uitterlinden, Andre G, Rivadeneira, Fernando, Franke, Andre, Lerch, Markus M, Franke, Lude, Sanna, Serena, D’Amato, Mauro, and Pedersen, Oluf

Subjects
Microbiology, Biological Sciences, Genetics, Human Genome, Biotechnology, Clinical Research, Digestive Diseases, Nutrition, 2.1 Biological and endogenous factors, Aetiology, Oral and gastrointestinal, Adolescent, Adult, Bifidobacterium, Child, Child, Preschool, Cohort Studies, Female, Gastrointestinal Microbiome, Genetic Variation, Genome-Wide Association Study, Humans, Lactase, Linkage Disequilibrium, Male, Mendelian Randomization Analysis, Metabolism, Quantitative Trait Loci, RNA, Ribosomal, 16S, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

To study the effect of host genetics on gut microbiome composition, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts). Microbial composition showed high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples. A genome-wide association study of host genetic variation regarding microbial taxa identified 31 loci affecting the microbiome at a genome-wide significant (P

Published
2021

40. DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, Florianne OL, Küpers, Leanne K, Sharp, Gemma C, Salas, Lucas A, Lent, Samantha, Jima, Dereje D, Tindula, Gwen, Reese, Sarah, Qi, Cancan, Gruzieva, Olena, Page, Christian, Rezwan, Faisal I, Melton, Philip E, Nohr, Ellen, Escaramís, Geòrgia, Rzehak, Peter, Heiskala, Anni, Gong, Tong, Tuominen, Samuli T, Gao, Lu, Ross, Jason P, Starling, Anne P, Holloway, John W, Yousefi, Paul, Aasvang, Gunn Marit, Beilin, Lawrence J, Bergström, Anna, Binder, Elisabeth, Chatzi, Leda, Corpeleijn, Eva, Czamara, Darina, Eskenazi, Brenda, Ewart, Susan, Ferre, Natalia, Grote, Veit, Gruszfeld, Dariusz, Håberg, Siri E, Hoyo, Cathrine, Huen, Karen, Karlsson, Robert, Kull, Inger, Langhendries, Jean-Paul, Lepeule, Johanna, Magnus, Maria C, Maguire, Rachel L, Molloy, Peter L, Monnereau, Claire, Mori, Trevor A, Oken, Emily, Räikkönen, Katri, Rifas-Shiman, Sheryl, Ruiz-Arenas, Carlos, Sebert, Sylvain, Ullemar, Vilhelmina, Verduci, Elvira, Vonk, Judith M, Xu, Cheng-jian, Yang, Ivana V, Zhang, Hongmei, Zhang, Weiming, Karmaus, Wilfried, Dabelea, Dana, Muhlhausler, Beverly S, Breton, Carrie V, Lahti, Jari, Almqvist, Catarina, Jarvelin, Marjo-Riitta, Koletzko, Berthold, Vrijheid, Martine, Sørensen, Thorkild IA, Huang, Rae-Chi, Arshad, Syed Hasan, Nystad, Wenche, Melén, Erik, Koppelman, Gerard H, London, Stephanie J, Holland, Nina, Bustamante, Mariona, Murphy, Susan K, Hivert, Marie-France, Baccarelli, Andrea, Relton, Caroline L, Snieder, Harold, Jaddoe, Vincent WV, and Felix, Janine F

Subjects
Biological Sciences, Genetics, Pediatric, Nutrition, Prevention, Human Genome, Obesity, 2.3 Psychological, social and economic factors, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Cardiovascular, Cancer, Stroke, Oral and gastrointestinal, Adolescent, Body Mass Index, Child, Child, Preschool, CpG Islands, Cross-Sectional Studies, DNA Methylation, Epigenesis, Genetic, Epigenome, Female, Fetal Blood, Humans, Male, Parturition, Pediatric Obesity, Pregnancy, Body mass index, Childhood obesity, DNA methylation, Epigenetics, Clinical Sciences
Abstract

BackgroundDNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits.MethodsWe examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment.ResultsDNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance, P

Published
2020

42. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age.

Author

Merid, Simon Kebede, Novoloaca, Alexei, Sharp, Gemma C, Küpers, Leanne K, Kho, Alvin T, Roy, Ritu, Gao, Lu, Annesi-Maesano, Isabella, Jain, Pooja, Plusquin, Michelle, Kogevinas, Manolis, Allard, Catherine, Vehmeijer, Florianne O, Kazmi, Nabila, Salas, Lucas A, Rezwan, Faisal I, Zhang, Hongmei, Sebert, Sylvain, Czamara, Darina, Rifas-Shiman, Sheryl L, Melton, Phillip E, Lawlor, Debbie A, Pershagen, Göran, Breton, Carrie V, Huen, Karen, Baiz, Nour, Gagliardi, Luigi, Nawrot, Tim S, Corpeleijn, Eva, Perron, Patrice, Duijts, Liesbeth, Nohr, Ellen Aagaard, Bustamante, Mariona, Ewart, Susan L, Karmaus, Wilfried, Zhao, Shanshan, Page, Christian M, Herceg, Zdenko, Jarvelin, Marjo-Riitta, Lahti, Jari, Baccarelli, Andrea A, Anderson, Denise, Kachroo, Priyadarshini, Relton, Caroline L, Bergström, Anna, Eskenazi, Brenda, Soomro, Munawar Hussain, Vineis, Paolo, Snieder, Harold, Bouchard, Luigi, Jaddoe, Vincent W, Sørensen, Thorkild IA, Vrijheid, Martine, Arshad, S Hasan, Holloway, John W, Håberg, Siri E, Magnus, Per, Dwyer, Terence, Binder, Elisabeth B, DeMeo, Dawn L, Vonk, Judith M, Newnham, John, Tantisira, Kelan G, Kull, Inger, Wiemels, Joseph L, Heude, Barbara, Sunyer, Jordi, Nystad, Wenche, Munthe-Kaas, Monica C, Räikkönen, Katri, Oken, Emily, Huang, Rae-Chi, Weiss, Scott T, Antó, Josep Maria, Bousquet, Jean, Kumar, Ashish, Söderhäll, Cilla, Almqvist, Catarina, Cardenas, Andres, Gruzieva, Olena, Xu, Cheng-Jian, Reese, Sarah E, Kere, Juha, Brodin, Petter, Solomon, Olivia, Wielscher, Matthias, Holland, Nina, Ghantous, Akram, Hivert, Marie-France, Felix, Janine F, Koppelman, Gerard H, London, Stephanie J, and Melén, Erik

Subjects
Humans, Premature Birth, DNA, DNA Methylation, Fetal Development, Adolescent, Child, Child, Preschool, Infant, Newborn, Infant, Premature, Female, Male, Genetic Loci, Epigenome, Development, Epigenetics, Gestational age, Preterm birth, Transcriptomics, Preschool, Infant, Newborn, Premature, Genetics, Clinical Sciences
Abstract

BackgroundPreterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children.MethodsWe performed meta-analysis of Illumina's HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4-18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung.ResultsWe identified 8899 CpGs in cord blood that were associated with gestational age (range 27-42 weeks), at Bonferroni significance, P

Published
2020

43. Prenatal maternal antidepressants, anxiety, and depression and offspring DNA methylation: epigenome-wide associations at birth and persistence into early childhood

Author

Cardenas, Andres, Faleschini, Sabrina, Cortes Hidalgo, Andrea, Rifas-Shiman, Sheryl L, Baccarelli, Andrea A, DeMeo, Dawn L, Litonjua, Augusto A, Neumann, Alexander, Felix, Janine F, Jaddoe, Vincent WV, El Marroun, Hanan, Tiemeier, Henning, Oken, Emily, Hivert, Marie-France, and Burris, Heather H

Subjects
Clinical Research, Perinatal Period - Conditions Originating in Perinatal Period, Conditions Affecting the Embryonic and Fetal Periods, Pediatric, Human Genome, Depression, Mental Health, Genetics, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, 2.2 Factors relating to the physical environment, Mental health, Reproductive health and childbirth, Good Health and Well Being, Adult, Antidepressive Agents, Anxiety, Child, Preschool, DNA Methylation, DNA-Binding Proteins, Epigenesis, Genetic, Female, Fetal Blood, Humans, Infant, Infant, Newborn, Male, Maternal Age, Maternal Exposure, Oligonucleotide Array Sequence Analysis, Pregnancy, Prenatal Exposure Delayed Effects, Prospective Studies, Transcription Factors, Whole Genome Sequencing, Maternal depression, Maternal anxiety, Antidepressants, DNA methylation, Fetal programming, Clinical Sciences, Paediatrics and Reproductive Medicine
Abstract

BACKGROUND:Maternal mood disorders and their treatment during pregnancy may have effects on the offspring epigenome. We aim to evaluate associations of maternal prenatal antidepressant use, anxiety, and depression with cord blood DNA methylation across the genome at birth and test for persistence of associations in early and mid-childhood blood DNA. METHODS:A discovery phase was conducted in Project Viva, a prospective pre-birth cohort study with external replication in an independent cohort, the Generation R Study. In Project Viva, pregnant women were recruited between 1999 and 2002 in Eastern Massachusetts, USA. In the Generation R Study, pregnant women were recruited between 2002 and 2006 in Rotterdam, the Netherlands. In Project Viva, 479 infants had data on maternal antidepressant use, anxiety, depression, and cord blood DNA methylation, 120 children had DNA methylation measured in early childhood (~ 3 years), and 460 in mid-childhood (~ 7 years). In the Generation R Study, 999 infants had data on maternal antidepressants and cord blood DNA methylation. The prenatal antidepressant prescription was obtained from medical records. At-mid pregnancy, symptoms of anxiety and depression were assessed with the Pregnancy-Related Anxiety Scale and the Edinburgh Postnatal Depression Scale in Project Viva and with the Brief Symptom Inventory in the Generation R Study. Genome-wide DNA methylation was measured using the Infinium HumanMethylation450 BeadChip in both cohorts. RESULTS:In Project Viva, 2.9% (14/479) pregnant women were prescribed antidepressants, 9.0% (40/445) experienced high pregnancy-related anxiety, and 8.2% (33/402) reported symptoms consistent with depression. Newborns exposed to antidepressants in pregnancy had 7.2% lower DNA methylation (95% CI, - 10.4, - 4.1; P = 1.03 × 10-8) at cg22159528 located in the gene body of ZNF575, and this association replicated in the Generation R Study (β = - 2.5%; 95% CI - 4.2, - 0.7; P = 0.006). In Project Viva, the association persisted in early (β = - 6.2%; 95% CI - 10.7, - 1.6) but not mid-childhood. We observed cohort-specific associations for maternal anxiety and depression in Project Viva that did not replicate. CONCLUSIONS:The ZNF575 gene is involved in transcriptional regulation but specific functions are largely unknown. Given the widespread use of antidepressants in pregnancy, as well as the effects of exposure to anxiety and depression, implications of potential fetal epigenetic programming by these risk factors and their impacts on development merit further investigation.

Published
2019

46. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.

Author

Teumer, Alexander, Li, Yong, Ghasemi, Sahar, Prins, Bram P, Wuttke, Matthias, Hermle, Tobias, Giri, Ayush, Sieber, Karsten B, Qiu, Chengxiang, Kirsten, Holger, Tin, Adrienne, Chu, Audrey Y, Bansal, Nisha, Feitosa, Mary F, Wang, Lihua, Chai, Jin-Fang, Cocca, Massimiliano, Fuchsberger, Christian, Gorski, Mathias, Hoppmann, Anselm, Horn, Katrin, Li, Man, Marten, Jonathan, Noce, Damia, Nutile, Teresa, Sedaghat, Sanaz, Sveinbjornsson, Gardar, Tayo, Bamidele O, van der Most, Peter J, Xu, Yizhe, Yu, Zhi, Gerstner, Lea, Ärnlöv, Johan, Bakker, Stephan JL, Baptista, Daniela, Biggs, Mary L, Boerwinkle, Eric, Brenner, Hermann, Burkhardt, Ralph, Carroll, Robert J, Chee, Miao-Li, Chee, Miao-Ling, Chen, Mengmeng, Cheng, Ching-Yu, Cook, James P, Coresh, Josef, Corre, Tanguy, Danesh, John, de Borst, Martin H, De Grandi, Alessandro, de Mutsert, Renée, de Vries, Aiko PJ, Degenhardt, Frauke, Dittrich, Katalin, Divers, Jasmin, Eckardt, Kai-Uwe, Ehret, Georg, Endlich, Karlhans, Felix, Janine F, Franco, Oscar H, Franke, Andre, Freedman, Barry I, Freitag-Wolf, Sandra, Gansevoort, Ron T, Giedraitis, Vilmantas, Gögele, Martin, Grundner-Culemann, Franziska, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hamet, Pavel, Harris, Tamara B, Hicks, Andrew A, Holm, Hilma, Foo, Valencia Hui Xian, Hwang, Shih-Jen, Ikram, M Arfan, Ingelsson, Erik, Jaddoe, Vincent WV, Jakobsdottir, Johanna, Josyula, Navya Shilpa, Jung, Bettina, Kähönen, Mika, Khor, Chiea-Chuen, Kiess, Wieland, Koenig, Wolfgang, Körner, Antje, Kovacs, Peter, Kramer, Holly, Krämer, Bernhard K, Kronenberg, Florian, Lange, Leslie A, Langefeld, Carl D, Lee, Jeannette Jen-Mai, Lehtimäki, Terho, Lieb, Wolfgang, Lim, Su-Chi, Lind, Lars, Lindgren, Cecilia M, Liu, Jianjun, and Loeffler, Markus

Subjects
Animals, Humans, Drosophila melanogaster, Albuminuria, Diabetes Mellitus, Genetic Predisposition to Disease, Creatinine, Risk Factors, Chromosome Mapping, Gene Expression Regulation, Meta-Analysis as Topic, Genome-Wide Association Study, Genetic Loci, Phenomics
Abstract

Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.

Published
2019

47. Variants in the fetal genome near pro-inflammatory cytokine genes on 2q13 associate with gestational duration.

Author

Liu, Xueping, Helenius, Dorte, Skotte, Line, Beaumont, Robin N, Wielscher, Matthias, Geller, Frank, Juodakis, Julius, Mahajan, Anubha, Bradfield, Jonathan P, Lin, Frederick TJ, Vogelezang, Suzanne, Bustamante, Mariona, Ahluwalia, Tarunveer S, Pitkänen, Niina, Wang, Carol A, Bacelis, Jonas, Borges, Maria C, Zhang, Ge, Bedell, Bruce A, Rossi, Robert M, Skogstrand, Kristin, Peng, Shouneng, Thompson, Wesley K, Appadurai, Vivek, Lawlor, Debbie A, Kalliala, Ilkka, Power, Christine, McCarthy, Mark I, Boyd, Heather A, Marazita, Mary L, Hakonarson, Hakon, Hayes, M Geoffrey, Scholtens, Denise M, Rivadeneira, Fernando, Jaddoe, Vincent WV, Vinding, Rebecca K, Bisgaard, Hans, Knight, Bridget A, Pahkala, Katja, Raitakari, Olli, Helgeland, Øyvind, Johansson, Stefan, Njølstad, Pål R, Fadista, João, Schork, Andrew J, Nudel, Ron, Miller, Daniel E, Chen, Xiaoting, Weirauch, Matthew T, Mortensen, Preben Bo, Børglum, Anders D, Nordentoft, Merete, Mors, Ole, Hao, Ke, Ryckman, Kelli K, Hougaard, David M, Kottyan, Leah C, Pennell, Craig E, Lyytikainen, Leo-Pekka, Bønnelykke, Klaus, Vrijheid, Martine, Felix, Janine F, Lowe, William L, Grant, Struan FA, Hyppönen, Elina, Jacobsson, Bo, Jarvelin, Marjo-Riitta, Muglia, Louis J, Murray, Jeffrey C, Freathy, Rachel M, Werge, Thomas M, Melbye, Mads, Buil, Alfonso, and Feenstra, Bjarke

Subjects
Chromosomes, Human, Pair 2, Fetus, Humans, Premature Birth, Cytokines, Gestational Age, Pregnancy, Polymorphism, Single Nucleotide, Genome, Human, Infant, Newborn, Female, Genome-Wide Association Study, Chromosomes, Human, Pair 2, Polymorphism, Single Nucleotide, Genome, Infant, Newborn
Abstract

The duration of pregnancy is influenced by fetal and maternal genetic and non-genetic factors. Here we report a fetal genome-wide association meta-analysis of gestational duration, and early preterm, preterm, and postterm birth in 84,689 infants. One locus on chromosome 2q13 is associated with gestational duration; the association is replicated in 9,291 additional infants (combined P = 3.96 × 10-14). Analysis of 15,588 mother-child pairs shows that the association is driven by fetal rather than maternal genotype. Functional experiments show that the lead SNP, rs7594852, alters the binding of the HIC1 transcriptional repressor. Genes at the locus include several interleukin 1 family members with roles in pro-inflammatory pathways that are central to the process of parturition. Further understanding of the underlying mechanisms will be of great public health importance, since giving birth either before or after the window of term gestation is associated with increased morbidity and mortality.

Published
2019

48. An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis

Author

Liu, Jun, Carnero-Montoro, Elena, van Dongen, Jenny, Lent, Samantha, Nedeljkovic, Ivana, Ligthart, Symen, Tsai, Pei-Chien, Martin, Tiphaine C, Mandaviya, Pooja R, Jansen, Rick, Peters, Marjolein J, Duijts, Liesbeth, Jaddoe, Vincent WV, Tiemeier, Henning, Felix, Janine F, Willemsen, Gonneke, de Geus, Eco JC, Chu, Audrey Y, Levy, Daniel, Hwang, Shih-Jen, Bressler, Jan, Gondalia, Rahul, Salfati, Elias L, Herder, Christian, Hidalgo, Bertha A, Tanaka, Toshiko, Moore, Ann Zenobia, Lemaitre, Rozenn N, Jhun, Min A, Smith, Jennifer A, Sotoodehnia, Nona, Bandinelli, Stefania, Ferrucci, Luigi, Arnett, Donna K, Grallert, Harald, Assimes, Themistocles L, Hou, Lifang, Baccarelli, Andrea, Whitsel, Eric A, van Dijk, Ko Willems, Amin, Najaf, Uitterlinden, André G, Sijbrands, Eric JG, Franco, Oscar H, Dehghan, Abbas, Spector, Tim D, Dupuis, Josée, Hivert, Marie-France, Rotter, Jerome I, Meigs, James B, Pankow, James S, van Meurs, Joyce BJ, Isaacs, Aaron, Boomsma, Dorret I, Bell, Jordana T, Demirkan, Ayşe, and van Duijn, Cornelia M

Subjects
Biological Sciences, Genetics, Nutrition, Diabetes, Human Genome, Obesity, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Aged, Aged, 80 and over, Computer Simulation, CpG Islands, DNA Methylation, Diabetes Mellitus, Type 2, Epigenesis, Genetic, Epigenomics, Female, Gene Expression Profiling, Gene Expression Regulation, Genome-Wide Association Study, Glucose, Homeostasis, Humans, Insulin, Male, Metabolic Networks and Pathways, Middle Aged, Polymorphism, Single Nucleotide, Young Adult
Abstract

Despite existing reports on differential DNA methylation in type 2 diabetes (T2D) and obesity, our understanding of its functional relevance remains limited. Here we show the effect of differential methylation in the early phases of T2D pathology by a blood-based epigenome-wide association study of 4808 non-diabetic Europeans in the discovery phase and 11,750 individuals in the replication. We identify CpGs in LETM1, RBM20, IRS2, MAN2A2 and the 1q25.3 region associated with fasting insulin, and in FCRL6, SLAMF1, APOBEC3H and the 15q26.1 region with fasting glucose. In silico cross-omics analyses highlight the role of differential methylation in the crosstalk between the adaptive immune system and glucose homeostasis. The differential methylation explains at least 16.9% of the association between obesity and insulin. Our study sheds light on the biological interactions between genetic variants driving differential methylation and gene expression in the early pathogenesis of T2D.

Published
2019

49. Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis

Author

Voerman, Ellis, Santos, Susana, Golab, Bernadeta Patro, Amiano, Pilar, Ballester, Ferran, Barros, Henrique, Bergström, Anna, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Devereux, Graham, Eggesbø, Merete, Ekström, Sandra, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, Georgiu, Vagelis, Godfrey, Keith M, Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Iszatt, Nina, Karvonen, Anne M, Kenny, Louise C, Koletzko, Berthold, Küpers, Leanne K, Lagström, Hanna, Lehmann, Irina, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yannis, McAuliffe, Fionnuala M, McDonald, Sheila W, Mehegan, John, Mommers, Monique, Morgen, Camilla S, Mori, Trevor A, Moschonis, George, Murray, Deirdre, Chaoimh, Carol Ní, Nohr, Ellen A, Andersen, Anne-Marie Nybo, Oken, Emily, Oostvogels, Adriëtte JJM, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Ronfani, Luca, Santos, Ana C, Standl, Marie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, Turner, Steve, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja GM, West, Jane, Wijga, Alet, Wright, John, Zvinchuk, Oleksandr, Sørensen, Thorkild IA, Lawlor, Debbie A, Gaillard, Romy, and Jaddoe, Vincent WV

Subjects
Biomedical and Clinical Sciences, Public Health, Health Sciences, Nutrition and Dietetics, Reproductive Medicine, Nutrition, Prevention, Pediatric, Clinical Research, Obesity, Oral and gastrointestinal, Stroke, Reproductive health and childbirth, Cardiovascular, Generic health relevance, Metabolic and endocrine, Cancer, Australia, Body Mass Index, Cohort Studies, Data Analysis, Europe, Female, Gestational Weight Gain, Humans, North America, Overweight, Pediatric Obesity, Pregnancy, Risk Factors, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundMaternal obesity and excessive gestational weight gain may have persistent effects on offspring fat development. However, it remains unclear whether these effects differ by severity of obesity, and whether these effects are restricted to the extremes of maternal body mass index (BMI) and gestational weight gain. We aimed to assess the separate and combined associations of maternal BMI and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact.Methods and findingsWe conducted an individual participant data meta-analysis of data from 162,129 mothers and their children from 37 pregnancy and birth cohort studies from Europe, North America, and Australia. We assessed the individual and combined associations of maternal pre-pregnancy BMI and gestational weight gain, both in clinical categories and across their full ranges, with the risks of overweight/obesity in early (2.0-5.0 years), mid (5.0-10.0 years) and late childhood (10.0-18.0 years), using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal sociodemographic and lifestyle-related characteristics. We observed that higher maternal pre-pregnancy BMI and gestational weight gain both in clinical categories and across their full ranges were associated with higher risks of childhood overweight/obesity, with the strongest effects in late childhood (odds ratios [ORs] for overweight/obesity in early, mid, and late childhood, respectively: OR 1.66 [95% CI: 1.56, 1.78], OR 1.91 [95% CI: 1.85, 1.98], and OR 2.28 [95% CI: 2.08, 2.50] for maternal overweight; OR 2.43 [95% CI: 2.24, 2.64], OR 3.12 [95% CI: 2.98, 3.27], and OR 4.47 [95% CI: 3.99, 5.23] for maternal obesity; and OR 1.39 [95% CI: 1.30, 1.49], OR 1.55 [95% CI: 1.49, 1.60], and OR 1.72 [95% CI: 1.56, 1.91] for excessive gestational weight gain). The proportions of childhood overweight/obesity prevalence attributable to maternal overweight, maternal obesity, and excessive gestational weight gain ranged from 10.2% to 21.6%. Relative to the effect of maternal BMI, excessive gestational weight gain only slightly increased the risk of childhood overweight/obesity within each clinical BMI category (p-values for interactions of maternal BMI with gestational weight gain: p = 0.038, p < 0.001, and p = 0.637 in early, mid, and late childhood, respectively). Limitations of this study include the self-report of maternal BMI and gestational weight gain for some of the cohorts, and the potential of residual confounding. Also, as this study only included participants from Europe, North America, and Australia, results need to be interpreted with caution with respect to other populations.ConclusionsIn this study, higher maternal pre-pregnancy BMI and gestational weight gain were associated with an increased risk of childhood overweight/obesity, with the strongest effects at later ages. The additional effect of gestational weight gain in women who are overweight or obese before pregnancy is small. Given the large population impact, future intervention trials aiming to reduce the prevalence of childhood overweight and obesity should focus on maternal weight status before pregnancy, in addition to weight gain during pregnancy.

Published
2019

50. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania

Author

Santos, Susana, Eekhout, Iris, Voerman, Ellis, Gaillard, Romy, Barros, Henrique, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Doyon, Myriam, Eggesbø, Merete, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, Gagliardi, Luigi, Georgiu, Vagelis, Godfrey, Keith M, Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hivert, Marie-France, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Jusko, Todd A, Karvonen, Anne M, Koletzko, Berthold, Küpers, Leanne K, Lagström, Hanna, Lawlor, Debbie A, Lehmann, Irina, Lopez-Espinosa, Maria-Jose, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yannis, McDonald, Sheila W, Mommers, Monique, Morgen, Camilla S, Moschonis, George, Murínová, Ľubica, Newnham, John, Nohr, Ellen A, Andersen, Anne-Marie Nybo, Oken, Emily, Oostvogels, Adriëtte JJM, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Roeleveld, Nel, Santa-Marina, Loreto, Santos, Ana C, Smit, Henriette A, Sørensen, Thorkild IA, Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, van Gelder, Marleen MHJ, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja GM, Zvinchuk, Oleksandr, van Buuren, Stef, and Jaddoe, Vincent WV

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Health Sciences, Conditions Affecting the Embryonic and Fetal Periods, Pediatric, Nutrition, Obesity, Clinical Research, Prevention, Perinatal Period - Conditions Originating in Perinatal Period, Metabolic and endocrine, Reproductive health and childbirth, Good Health and Well Being, Adult, Body Mass Index, Europe, Female, Gestational Weight Gain, Humans, North America, Oceania, Pregnancy, Pregnancy Complications, Pregnancy Outcome, Risk Factors, Weight gain, Charts, References, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundGestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies.MethodsWe used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape.ResultsWe observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4-17.4) for underweight women, 14.5 kg (11.5-17.7) for normal weight women, 13.9 kg (10.1-17.9) for overweight women, and 11.2 kg (7.0-15.7), 8.7 kg (4.3-13.4) and 6.3 kg (1.9-11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications.ConclusionsGestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice.

Published
2018

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