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1. Increases in symptoms of depression and anxiety in adults during the initial phases of the COVID-19 pandemic are limited to those with less resources: Results from the Lifelines Cohort Study

Author: Boezen, H.M., Mierau, J.O., Franke, H.L., Dekens, J., Deelen, P., Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P.S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X.L., Wiersma, Henry H., Warmerdam, Robert, Jankipersadsing, Soesma A., Qi, Yuwei, Lepe, Alexander, Almansa, Josué, Ots, Patricia, de Kroon, Marlou L.A., Vrooman, J. Cok, Reijneveld, Sijmen A., and Brouwer, Sandra
Published: 2022
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2. Gender differences in the mental health impact of the COVID-19 lockdown: Longitudinal evidence from the Netherlands

Author: Boezen, Marike H., Mierau, Jochen O., Franke, Lude, Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P.S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X.L., Wiersma, Henry H., Warmerdam, Robert, Jankipersadsing, Soesma A., Vloo, A., Alessie, R.J.M., and Mierau, J.O.
Published: 2021
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3. DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis

Author: Joubert, Bonnie R, Felix, Janine F, Yousefi, Paul, Bakulski, Kelly M, Just, Allan C, Breton, Carrie, Reese, Sarah E, Markunas, Christina A, Richmond, Rebecca C, Xu, Cheng-Jian, Küpers, Leanne K, Oh, Sam S, Hoyo, Cathrine, Gruzieva, Olena, Söderhäll, Cilla, Salas, Lucas A, Baïz, Nour, Zhang, Hongmei, Lepeule, Johanna, Ruiz, Carlos, Ligthart, Symen, Wang, Tianyuan, Taylor, Jack A, Duijts, Liesbeth, Sharp, Gemma C, Jankipersadsing, Soesma A, Nilsen, Roy M, Vaez, Ahmad, Fallin, M Daniele, Hu, Donglei, Litonjua, Augusto A, Fuemmeler, Bernard F, Huen, Karen, Kere, Juha, Kull, Inger, Munthe-Kaas, Monica Cheng, Gehring, Ulrike, Bustamante, Mariona, Saurel-Coubizolles, Marie José, Quraishi, Bilal M, Ren, Jie, Tost, Jörg, Gonzalez, Juan R, Peters, Marjolein J, Håberg, Siri E, Xu, Zongli, van Meurs, Joyce B, Gaunt, Tom R, Kerkhof, Marjan, Corpeleijn, Eva, Feinberg, Andrew P, Eng, Celeste, Baccarelli, Andrea A, Neelon, Sara E Benjamin, Bradman, Asa, Merid, Simon Kebede, Bergström, Anna, Herceg, Zdenko, Hernandez-Vargas, Hector, Brunekreef, Bert, Pinart, Mariona, Heude, Barbara, Ewart, Susan, Yao, Jin, Lemonnier, Nathanaël, Franco, Oscar H, Wu, Michael C, Hofman, Albert, McArdle, Wendy, Van der Vlies, Pieter, Falahi, Fahimeh, Gillman, Matthew W, Barcellos, Lisa F, Kumar, Ashish, Wickman, Magnus, Guerra, Stefano, Charles, Marie-Aline, Holloway, John, Auffray, Charles, Tiemeier, Henning W, Smith, George Davey, Postma, Dirkje, Hivert, Marie-France, Eskenazi, Brenda, Vrijheid, Martine, Arshad, Hasan, Antó, Josep M, Dehghan, Abbas, Karmaus, Wilfried, Annesi-Maesano, Isabella, Sunyer, Jordi, Ghantous, Akram, Pershagen, Göran, Holland, Nina, Murphy, Susan K, DeMeo, Dawn L, Burchard, Esteban G, Ladd-Acosta, Christine, Snieder, Harold, and Nystad, Wenche
Subjects: Genetics, Pediatric, Human Genome, Tobacco, Tobacco Smoke and Health, Prevention, Aetiology, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, Respiratory, Reproductive health and childbirth, Good Health and Well Being, Asthma, Child, Child, Preschool, Chromosome Mapping, Cleft Lip, Cleft Palate, DNA Methylation, Epigenesis, Genetic, Female, Genetic Association Studies, Humans, Infant, Infant, Newborn, Pregnancy, Smoking, White People, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2 × 10(-16)). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure.
Published: 2016

4. DNA methylation in childhood asthma: an epigenome-wide meta-analysis

Author: Xu, Cheng-Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A, Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J, Aguirre-Gamboa, Raul, de Jongste, Johan C, Smit, Henriette A, Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R C, Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, van der Vlies, Pieter, van Diemen, Cleo C, Li, Yang, Wijmenga, Cisca, Netea, Mihai G, Moffatt, Miriam F, Cookson, William O C M, Anto, Josep M, Bousquet, Jean, Laatikainen, Tiina, Laprise, Catherine, Carlsen, Kai-Håkon, Gori, Davide, Porta, Daniela, Iñiguez, Carmen, Bilbao, Jose Ramon, Kogevinas, Manolis, Wright, John, Brunekreef, Bert, Kere, Juha, Nawijn, Martijn C, Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, and Koppelman, Gerard H
Published: 2018
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5. Transmission and dynamics of mother-infant gut viruses during pregnancy and early life.

Author: Garmaeva, Sanzhima, Sinha, Trishla, Gulyaeva, Anastasia, Kuzub, Nataliia, Spreckels, Johanne E., Andreu-Sánchez, Sergio, Gacesa, Ranko, Vich Vila, Arnau, Brushett, Siobhan, Kruk, Marloes, Lifelines NEXT cohort study, Dotinga, Aafje, Gordijn, Sanne, Jankipersadsing, Soesma, de Jonge, Ank, de Kroon, Marlou L. A., Koppelman, Gerard H., Peters, Lilian L., Prins, Jelmer R., and Reijneveld, Sijmen A.
Subjects: INFECTIOUS disease transmission, PREGNANCY, BREASTFEEDING, MOTHERS, VIRUS-like particles, SHOTGUN sequencing, BIFIDOBACTERIUM, INFANT development, BACTERIOPHAGES
Abstract: Early development of the gut ecosystem is crucial for lifelong health. While infant gut bacterial communities have been studied extensively, the infant gut virome remains under-explored. To study the development of the infant gut virome over time and the factors that shape it, we longitudinally assess the composition of gut viruses and their bacterial hosts in 30 women during and after pregnancy and in their 32 infants during their first year of life. Using shotgun metagenomic sequencing applied to dsDNA extracted from Virus-Like Particles (VLPs) and bacteria, we generate 205 VLP metaviromes and 322 total metagenomes. With this data, we show that while the maternal gut virome composition remains stable during late pregnancy and after birth, the infant gut virome is dynamic in the first year of life. Notably, infant gut viromes contain a higher abundance of active temperate phages compared to maternal gut viromes, which decreases over the first year of life. Moreover, we show that the feeding mode and place of delivery influence the gut virome composition of infants. Lastly, we provide evidence of co-transmission of viral and bacterial strains from mothers to infants, demonstrating that infants acquire some of their virome from their mother's gut. Gut ecosystem colonization impacts lifelong health. Here, authors track mother-infant gut viruses over time, reveal feeding's influence on early viral colonization, and demonstrate the co-transmission of bacteriophages and bacteria from mothers to infants. [ABSTRACT FROM AUTHOR]
Published: 2024
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6. Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity

Author: Zhernakova, Alexandra, Kurilshikov, Alexander, Bonder, Marc Jan, Tigchelaar, Ettje F., Schirmer, Melanie, Vatanen, Tommi, Mujagic, Zlatan, Vila, Arnau Vich, Falony, Gwen, Vieira-Silva, Sara, Wang, Jun, Imhann, Floris, Brandsma, Eelke, Jankipersadsing, Soesma A., Joossens, Marie, Cenit, Maria Carmen, Deelen, Patrick, Swertz, Morris A., study, LifeLines cohort, Weersma, Rinse K., Feskens, Edith J. M., Netea, Mihai G., Gevers, Dirk, Jonkers, Daisy, Franke, Lude, Aulchenko, Yurii S., Huttenhower, Curtis, Raes, Jeroen, Hofker, Marten H., Xavier, Ramnik J., Wijmenga, Cisca, and Fu, Jingyuan
Published: 2016

7. Workplace impact on employees: A Lifelines Corona Research Initiative on the return to work

Author: Mobach, Mark P., Boezen, H. M, Mierau, Jochen O., Franke, H. Lude, Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P.S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X.L., Wiersma, Henry H., Warmerdam, Robert, Jankipersadsing, Soesma A., van Blokland, Irene, de Bock, Geer Truida H., Rosmalen, Judith G.M., Wijmenga, Cisca, Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), Value, Affordability and Sustainability (VALUE), Research programme EEF, Faculteit Medische Wetenschappen/UMCG, Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), and Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE)
Abstract: A large proportion of the global workforce migrated home during the COVID-19 pandemic and subsequent lockdowns. It remains unclear what the exact differences between home workers and non-home workers were, especially during the pandemic when a return to work was imminent. How were building, workplace, and related facilities associated with workers’ perceptions and health? What are the lessons to be learned? Lifelines Corona Research Initiative was used to compare employees’ workplaces and related concerns, facilities, work quality, and health in a complete case analysis (N = 12,776) when return to work was imminent. Mann-Whitney U, logistic regression, and Wilcoxon matched-pairs were used for analyses. Notwithstanding small differences, the results show that home workers had less favourable scores for concerns about and facilities of on-site buildings and workplaces upon return to work, but better scores for work quality and health than non-home workers. However, additional analyses also suggest that building, workplace, and related facilities may have had the capacity to positively influence employees’ affective responses and work quality, but not always their health.
Published: 2023

8. Increases in symptoms of depression and anxiety in adults during the initial phases of the COVID-19 pandemic are limited to those with less resources: Results from the Lifelines Cohort Study

Author: Qi, Yuwei, primary, Lepe, Alexander, additional, Almansa, Josué, additional, Ots, Patricia, additional, de Kroon, Marlou L.A., additional, Vrooman, J. Cok, additional, Reijneveld, Sijmen A., additional, Brouwer, Sandra, additional, Boezen, H.M., additional, Mierau, J.O., additional, Franke, H.L., additional, Dekens, J., additional, Deelen, P., additional, Lanting, Pauline, additional, Vonk, Judith M., additional, Nolte, Ilja, additional, Ori, Anil P.S., additional, Claringbould, Annique, additional, Boulogne, Floranne, additional, Dijkema, Marjolein X.L., additional, Wiersma, Henry H., additional, Warmerdam, Robert, additional, and Jankipersadsing, Soesma A., additional
Published: 2022
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9. Symptoms and quality of life before, during, and after a SARS-CoV-2 PCR positive or negative test: data from Lifelines.

Author: Goërtz, Yvonne M. J., Spruit, Martijn A., Van Herck, Maarten, Dukers-Muijrers, Nicole, Lifelines Corona Research Initiative, Boezen, H. Marike, Mierau, Jochen O., Franke, H. Lude, Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P. S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X. L., Wiersma, Henry H., Warmerdam, Robert, and Jankipersadsing, Soesma A.
Subjects: DIAGNOSTIC use of polymerase chain reaction, SARS-CoV-2, COVID-19 testing, POLYMERASE chain reaction, SYMPTOMS
Abstract: This study evaluates to what extent symptoms are present before, during, and after a positive SARS-CoV-2 polymerase chain reaction (PCR) test, and to evaluate how the symptom burden and quality of Life (QoL) compares to those with a negative PCR test. Participants from the Dutch Lifelines COVID-19 Cohort Study filled-out as of March 2020 weekly, later bi-weekly and monthly, questions about demographics, COVID-19 diagnosis and severity, QoL, and symptoms. The study population included those with one positive or negative PCR test who filled out two questionnaires before and after the test, resulting in 996 SARS-CoV-2 PCR positive and 3978 negative participants. Nearly all symptoms were more often reported after a positive test versus the period before the test (p < 0.05), except fever. A higher symptom prevalence after versus before a test was also found for nearly all symptoms in negatives (p < 0.05). Before the test, symptoms were already partly present and reporting of nearly all symptoms before did not differ between positives and negatives (p > 0.05). QoL decreased around the test for positives and negatives, with a larger deterioration for positives. Not all symptoms after a positive SARS-CoV-2 PCR test might be attributable to the infection and symptoms were also common in negatives. [ABSTRACT FROM AUTHOR]
Published: 2023
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10. The effect of host genetics on the gut microbiome

Author: Bonder, Marc Jan, Kurilshikov, Alexander, Tigchelaar, Ettje F, Mujagic, Zlatan, Imhann, Floris, Vila, Arnau Vich, Deelen, Patrick, Vatanen, Tommi, Schirmer, Melanie, Smeekens, Sanne P, Zhernakova, Daria V, Jankipersadsing, Soesma A, Jaeger, Martin, Oosting, Marije, Cenit, Maria Carmen, Masclee, Ad A M, Swertz, Morris A, Li, Yang, Kumar, Vinod, Joosten, Leo, Harmsen, Hermie, Weersma, Rinse K, Franke, Lude, Hofker, Marten H, Xavier, Ramnik J, Jonkers, Daisy, Netea, Mihai G, Wijmenga, Cisca, Fu, Jingyuan, and Zhernakova, Alexandra
Published: 2016
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11. Environmental factors shaping the gut microbiome in a Dutch population

Author: Gacesa , Ranko, Kurilshikov, Alexander, Vich Vila, Arnau, Sinha, Trishla, Klaassen, M, Bolte, L.A., Andreu-Sánchez, S., Chen, L., Collij, V., Hu, S., Dekens-Konter, J.A.M., Lenters, Virissa, Björk, J.R., Swarte, J.C., Swertz, Morris A., Jansen, B.H.R., Gelderloos-Arends, J., Jankipersadsing, Soesma A, Hofker, M., Vermeulen, Roel, Sanna, S., Harmsen, H J M, Wijmenga, Cisca, Fu, J., Zhernakova, A., Weersma, Rinse K., Gacesa , Ranko, Kurilshikov, Alexander, Vich Vila, Arnau, Sinha, Trishla, Klaassen, M, Bolte, L.A., Andreu-Sánchez, S., Chen, L., Collij, V., Hu, S., Dekens-Konter, J.A.M., Lenters, Virissa, Björk, J.R., Swarte, J.C., Swertz, Morris A., Jansen, B.H.R., Gelderloos-Arends, J., Jankipersadsing, Soesma A, Hofker, M., Vermeulen, Roel, Sanna, S., Harmsen, H J M, Wijmenga, Cisca, Fu, J., Zhernakova, A., and Weersma, Rinse K.
Abstract: The gut microbiome is associated with diverse diseases1–3, but a universal signature of a healthy or unhealthy microbiome has not been identified, and there is a need to understand how genetics, exposome, lifestyle and diet shape the microbiome in health and disease. Here we profiled bacterial composition, function, antibiotic resistance and virulence factors in the gut microbiomes of 8,208 Dutch individuals from a three-generational cohort comprising 2,756 families. We correlated these to 241 host and environmental factors, including physical and mental health, use of medication, diet, socioeconomic factors and childhood and current exposome. We identify that the microbiome is shaped primarily by the environment and cohabitation. Only around 6.6% of taxa are heritable, whereas the variance of around 48.6% of taxa is significantly explained by cohabitation. By identifying 2,856 associations between the microbiome and health, we find that seemingly unrelated diseases share a common microbiome signature that is independent of comorbidities. Furthermore, we identify 7,519 associations between microbiome features and diet, socioeconomics and early life and current exposome, with numerous early-life and current factors being significantly associated with microbiome function and composition. Overall, this study provides a comprehensive overview of gut microbiome and the underlying impact of heritability and exposures that will facilitate future development of microbiome-targeted therapies.
Published: 2022

12. Environmental factors shaping the gut microbiome in a Dutch population

Author: IRAS OH Epidemiology Chemical Agents, Gacesa , Ranko, Kurilshikov, Alexander, Vich Vila, Arnau, Sinha, Trishla, Klaassen, M, Bolte, L.A., Andreu-Sánchez, S., Chen, L., Collij, V., Hu, S., Dekens-Konter, J.A.M., Lenters, Virissa, Björk, J.R., Swarte, J.C., Swertz, Morris A., Jansen, B.H.R., Gelderloos-Arends, J., Jankipersadsing, Soesma A, Hofker, M., Vermeulen, Roel, Sanna, S., Harmsen, H J M, Wijmenga, Cisca, Fu, J., Zhernakova, A., Weersma, Rinse K., IRAS OH Epidemiology Chemical Agents, Gacesa , Ranko, Kurilshikov, Alexander, Vich Vila, Arnau, Sinha, Trishla, Klaassen, M, Bolte, L.A., Andreu-Sánchez, S., Chen, L., Collij, V., Hu, S., Dekens-Konter, J.A.M., Lenters, Virissa, Björk, J.R., Swarte, J.C., Swertz, Morris A., Jansen, B.H.R., Gelderloos-Arends, J., Jankipersadsing, Soesma A, Hofker, M., Vermeulen, Roel, Sanna, S., Harmsen, H J M, Wijmenga, Cisca, Fu, J., Zhernakova, A., and Weersma, Rinse K.
Published: 2022

13. Frailty and risk of hospitalization from COVID-19 infection among older adults : evidence from the Dutch Lifelines COVID-19 Cohort study

Author: Zhu, Yinjie, Sealy, Martine J., Jager-Wittenaar, Harriët, Mierau, Jochen O., Bakker, Stephan J.L., Navis, Gerjan J., Boezen, H.M., Franke, H.L., Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P.S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X.L., Wiersma, Henry H., Warmerdam, Robert, Jankipersadsing, Soesma A., van Blokland, Irene, de Bock, Geertruida H., Rosmalen, Judith G.M., Wijmenga, Cisca, Zhu, Yinjie, Sealy, Martine J., Jager-Wittenaar, Harriët, Mierau, Jochen O., Bakker, Stephan J.L., Navis, Gerjan J., Boezen, H.M., Franke, H.L., Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P.S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X.L., Wiersma, Henry H., Warmerdam, Robert, Jankipersadsing, Soesma A., van Blokland, Irene, de Bock, Geertruida H., Rosmalen, Judith G.M., and Wijmenga, Cisca
Abstract: Background: Frailty is associated with COVID-19 severity in clinical settings. No general population-based studies on the association between actual frailty status and COVID-19 hospitalization are available. Aims: To investigate the association between frailty and the risk of COVID-19 hospitalization once infected. Methods: 440 older adults who participated in the Lifelines COVID-19 Cohort study in the Northern Netherlands and reported positive COVID-19 testing results (54.2% women, age 70 ± 4 years in 2021) were included in the analyses. COVID-19 hospitalization status was self-reported. The Groningen Frailty Indicator (GFI) was derived from 15 self-reported questionnaire items related to daily activities, health problems, and psychosocial functioning, with a score ≥ 4 indicating frailty. Both frailty and COVID-19 hospitalization were assessed in the same period. Poisson regression models with robust standard errors were used to analyze the associations between frailty and COVID-19 hospitalization. Results: Of 440 older adults included, 42 were hospitalized because of COVID-19 infection. After adjusting for sociodemographic and lifestyle factors, a higher risk of COVID-19 hospitalization was observed for frail individuals (risk ratio (RR) [95% CI] 1.97 [1.06–3.67]) compared to those classified as non-frail. Discussion: Frailty was positively associated with COVID-19 hospitalization once infected, independent of sociodemographic and lifestyle factors. Future research on frailty and COVID-19 should consider biomarkers of aging and frailty to understand the pathophysiological mechanisms and manifestations between frailty and COVID-19 outcomes. Conclusions: Frailty was positively associated with the risk of hospitalization among older adults that were infected with COVID-19. Public health strategies for frailty prevention in older adults need to be advocated, as it is helpful to reduce the burden of the healthcare system, particularly during a pandemic like COVID-19.
Published: 2022

14. Impact of the COVID-19 pandemic on adults with moderate-to-severe atopic dermatitis in the Dutch general population

Author: Zhang, Junfen, Loman, Laura, Kamphuis, Esmé, Schuttelaar, Marie L A, Boezen, H. M., Mierau, Jochen, Franke, H. Lude, Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja M., Ori, Anil P.S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X L, Wiersma, Henry H., Warmerdam, Robert, Jankipersadsing, Soesma A., van Blokland, Irene, Public Health Research (PHR), Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), Value, Affordability and Sustainability (VALUE), Research programme EEF, Stem Cell Aging Leukemia and Lymphoma (SALL), and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
Subjects: atopic dermatitis, RL1-803, atopic eczema, COVID-19, disease severity, epidemiology, Dermatology, general population, Article
Published: 2022

15. Environmental factors shaping the gut microbiome in a Dutch population

Author: Gacesa, Ranko, Kurilshikov, Alexander, Vich Vila, Arnau, Sinha, Trishla, Klaassen, M, Bolte, L.A., Andreu-Sánchez, S., Chen, L., Collij, V., Hu, S., Dekens-Konter, J.A.M., Lenters, Virissa, Björk, J.R., Swarte, J.C., Swertz, Morris A., Jansen, B.H.R., Gelderloos-Arends, J., Jankipersadsing, Soesma A, Hofker, M., Vermeulen, Roel, Sanna, S., Harmsen, H J M, Wijmenga, Cisca, Fu, J., Zhernakova, A., Weersma, Rinse K., IRAS OH Epidemiology Chemical Agents, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Microbes in Health and Disease (MHD), Center for Liver, Digestive and Metabolic Diseases (CLDM), Translational Immunology Groningen (TRIGR), and IRAS OH Epidemiology Chemical Agents
Subjects: Multidisciplinary, Bacteria, GENETICS, ASSOCIATION, Environment, METAGENOMICS, ENTEROTYPES, Diet, Gastrointestinal Microbiome, ALIGNMENT, Socioeconomic Factors, POLLUTION, MARKERS, USE REGRESSION-MODELS, AREAS, Humans, INTESTINAL MICROBIOME, Life Style, Netherlands
Abstract: The gut microbiome is associated with diverse diseases(1-3), but a universal signature of a healthy or unhealthy microbiome has not been identified, and there is a need to understand how genetics, exposome, lifestyle and diet shape the microbiome in health and disease. Here we profiled bacterial composition, function, antibiotic resistance and virulence factors in the gut microbiomes of 8,208 Dutch individuals from a three-generational cohort comprising 2,756 families. We correlated these to 241 host and environmental factors, including physical and mental health, use of medication, diet, socioeconomic factors and childhood and current exposome. We identify that the microbiome is shaped primarily by the environment and cohabitation. Only around 6.6% of taxa are heritable, whereas the variance of around 48.6% of taxa is significantly explained by cohabitation. By identifying 2,856 associations between the microbiome and health, we find that seemingly unrelated diseases share a common microbiome signature that is independent of comorbidities. Furthermore, we identify 7,519 associations between microbiome features and diet, socioeconomics and early life and current exposome, with numerous early-life and current factors being significantly associated with microbiome function and composition. Overall, this study provides a comprehensive overview of gut microbiome and the underlying impact of heritability and exposures that will facilitate future development of microbiome-targeted therapies.
Published: 2022

16. MICROBIOME: Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity

Author: Zhernakova, Alexandra, Kurilshikov, Alexander, Bonder, Marc Jan, Tigchelaar, Ettje F., Schirmer, Melanie, Vatanen, Tommi, Mujagic, Zlatan, Vila, Arnau Vich, Falony, Gwen, Vieira-Silva, Sara, Wang, Jun, Imhann, Floris, Brandsma, Eelke, Jankipersadsing, Soesma A., Joossens, Marie, Cenit, Maria Carmen, Deelen, Patrick, Swertz, Morris A., Weersma, Rinse K., Feskens, Edith J. M., Netea, Mihai G., Gevers, Dirk, Jonkers, Daisy, Franke, Lude, Aulchenko, Yurii S., Huttenhower, Curtis, Raes, Jeroen, Hofker, Marten H., Xavier, Ramnik J., Wijmenga, Cisca, and Fu, Jingyuan
Published: 2016

17. Gender differences in the mental health impact of the COVID-19 lockdown: Longitudinal evidence from the Netherlands

Author: Vloo, A., primary, Alessie, R.J.M., additional, Mierau, J.O., additional, Boezen, Marike H., additional, Mierau, Jochen O., additional, Franke, Lude, additional, Dekens, Jackie, additional, Deelen, Patrick, additional, Lanting, Pauline, additional, Vonk, Judith M., additional, Nolte, Ilja, additional, Ori, Anil P.S., additional, Claringbould, Annique, additional, Boulogne, Floranne, additional, Dijkema, Marjolein X.L., additional, Wiersma, Henry H., additional, Warmerdam, Robert, additional, and Jankipersadsing, Soesma A., additional
Published: 2021
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18. Shared DNA methylation signatures in childhood allergy: The MeDALL study

Author: Xu, Cheng-Jian, Gruzieva, Olena, Qi, CanCan, Esplugues, Ana, Gehring, Ulrike, Bergström, Anna, Mason, Dan, Chatzi, Leda, Porta, Daniela, Lodrup Carlsen, Karin, Baïz, Nour, Madore, Anne-Marie, Alenius, Harri, van Rijkom, Bianca, Jankipersadsing, Soesma, Van Der Vlies, Pieter, Kull, Inger, Van Hage, Marianne, Bustamante, Mariona, Lertxundi, Aitana, Torrent, Matias, Santorelli, Gillian, Fantini, Maria Pia, Hovland, Vegard, Pesce, Giancarlo, Fyhrquist, Nanna, Laatikainen, Tiina, Nawijn, Martijn, Li, Yang, Wijmenga, Cisca, Netea, Mihai, Bousquet, Jean, Anto, Josep, Laprise, Catherine, Haahtela, Tari, Annesi-Maesano, Isabella, Carlsen, Kai-Håkon, Gori, Davide, Kogevinas, Manolis, Wright, John, Söderhäll, Cilla, Vonk, Judith, Sunyer, Jordi, Melén, Erik, Koppelman, Gerard, Fantini, Maria, Epidemiology of Allergic and Respiratory Diseases Department [Paris] (EPAR), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Xu C.-J., Gruzieva O., Qi C., Esplugues A., Gehring U., Bergstrom A., Mason D., Chatzi L., Porta D., Lodrup Carlsen K.C., Baiz N., Madore A.-M., Alenius H., van Rijkom B., Jankipersadsing S.A., van der Vlies P., Kull I., van Hage M., Bustamante M., Lertxundi A., Torrent M., Santorelli G., Fantini M.P., Hovland V., Pesce G., Fyhrquist N., Laatikainen T., Nawijn M.C., Li Y., Wijmenga C., Netea M.G., Bousquet J., Anto J.M., Laprise C., Haahtela T., Annesi-Maesano I., Carlsen K.-H., Gori D., Kogevinas M., Wright J., Soderhall C., Vonk J.M., Sunyer J., Melen E., Koppelman G.H., Research Programs Unit, Biosciences, HUMI - Human Microbiome Research, HUS Inflammation Center, Department of Dermatology, Allergology and Venereology, Helsinki University Hospital Area, University of Helsinki, Groningen Research Institute for Asthma and COPD (GRIAC), and Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
Subjects: 0301 basic medicine, Male, Allergy, MESH: Asthma, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Eczema, Immunoglobulin E, Epigenesis, Genetic, Cohort Studies, 0302 clinical medicine, MESH: DNA Methylation, MESH: Child, Immunology and Allergy, Medicine, MESH: Epigenesis, Genetic, Child, MESH: CpG Islands, MESH: Cohort Studies, DNA methylation, biology, MESH: Immunoglobulin E, Epigenetic, Methylation, 3. Good health, CpG site, 030220 oncology & carcinogenesis, Child, Preschool, MESH: Rhinitis, Allergic, Female, Epigenetics, IgE, Adolescent, MESH: Hypersensitivity, Immunology, education, Single-nucleotide polymorphism, Article, 03 medical and health sciences, MESH: Cross-Sectional Studies, children, Hypersensitivity, Humans, Asthma, MESH: Adolescent, MESH: Humans, business.industry, MESH: Transcriptome, MESH: Child, Preschool, medicine.disease, allergy, Rhinitis, Allergic, MESH: Male, 030104 developmental biology, Cross-Sectional Studies, MESH: Eczema, 3121 General medicine, internal medicine and other clinical medicine, biology.protein, CpG Islands, business, Transcriptome, MESH: Female, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Contains fulltext : 232514.pdf (Publisher’s version ) (Open Access) BACKGROUND: Differential DNA methylation associated with allergy might provide novel insights into the shared or unique etiology of asthma, rhinitis, and eczema. OBJECTIVE: We sought to identify DNA methylation profiles associated with childhood allergy. METHODS: Within the European Mechanisms of the Development of Allergy (MeDALL) consortium, we performed an epigenome-wide association study of whole blood DNA methylation by using a cross-sectional design. Allergy was defined as having symptoms from at least 1 allergic disease (asthma, rhinitis, or eczema) and positive serum-specific IgE to common aeroallergens. The discovery study included 219 case patients and 417 controls at age 4 years and 228 case patients and 593 controls at age 8 years from 3 birth cohorts, with replication analyses in 325 case patients and 1111 controls. We performed additional analyses on 21 replicated sites in 785 case patients and 2124 controls by allergic symptoms only from 8 cohorts, 3 of which were not previously included in analyses. RESULTS: We identified 80 differentially methylated CpG sites that showed a 1% to 3% methylation difference in the discovery phase, of which 21 (including 5 novel CpG sites) passed genome-wide significance after meta-analysis. All 21 CpG sites were also significantly differentially methylated with allergic symptoms and shared between asthma, rhinitis, and eczema. The 21 CpG sites mapped to relevant genes, including ACOT7, LMAN3, and CLDN23. All 21 CpG sties were differently methylated in asthma in isolated eosinophils, and 10 were replicated in respiratory epithelium. CONCLUSION: Reduced whole blood DNA methylation at 21 CpG sites was significantly associated with childhood allergy. The findings provide novel insights into the shared molecular mechanisms underlying asthma, rhinitis, and eczema.
Published: 2021
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19. Shared DNA methylation signatures in childhood allergy: The MeDALL study

Author: Medicina preventiva y salud pública, Prebentzio medikuntza eta osasun publikoa, Xu, Cheng-Jian, Gruzieva, Olena, Qi, Cancan, Esplugues, Ana, Gehring, Ulrike, Bergström, Anna, Mason, Dan, Chatzi, Leda, Porta, Daniela, Lodrup Carlsen, Karin C., Baïz, Nour, Madore, Anne-Marie, Alenius, Harri, Van Rijkom, Bianca, Jankipersadsing, Soesma A., Van der Vlies, Pieter, Kull, Inger, Van Hage, Marianne, Bustamante, Mariona, Lertxundi Manterola, Aitana, Torrent, Matias, Santore, Gillian, Fantini, Maria Pia, Hovland, Vegard, Pesce, Giancarlo, BIOS Consortium, Fyhrquist, Nanna, Laatikainen, Tiina, Nawijn, Martijn C., Li, Yang, Wijmenga, Cisca, Netea, Mihai G., Bousquet, Jean, Anto, Josep M., Laprise, Catherine, Haahtela, Tari, Annesi-Maesano, Isabella, Carlsen, Kai-Håkon, Gori, Davide, Kogevinas, Manolis, Wright, John, Söderhäll, Cilla, Vonk, Judith M., Sunyer, Jordi, Melén, Erik, Koppelman, Gerard H., Medicina preventiva y salud pública, Prebentzio medikuntza eta osasun publikoa, Xu, Cheng-Jian, Gruzieva, Olena, Qi, Cancan, Esplugues, Ana, Gehring, Ulrike, Bergström, Anna, Mason, Dan, Chatzi, Leda, Porta, Daniela, Lodrup Carlsen, Karin C., Baïz, Nour, Madore, Anne-Marie, Alenius, Harri, Van Rijkom, Bianca, Jankipersadsing, Soesma A., Van der Vlies, Pieter, Kull, Inger, Van Hage, Marianne, Bustamante, Mariona, Lertxundi Manterola, Aitana, Torrent, Matias, Santore, Gillian, Fantini, Maria Pia, Hovland, Vegard, Pesce, Giancarlo, BIOS Consortium, Fyhrquist, Nanna, Laatikainen, Tiina, Nawijn, Martijn C., Li, Yang, Wijmenga, Cisca, Netea, Mihai G., Bousquet, Jean, Anto, Josep M., Laprise, Catherine, Haahtela, Tari, Annesi-Maesano, Isabella, Carlsen, Kai-Håkon, Gori, Davide, Kogevinas, Manolis, Wright, John, Söderhäll, Cilla, Vonk, Judith M., Sunyer, Jordi, Melén, Erik, and Koppelman, Gerard H.
Abstract: BACKGROUND: Differential DNA methylation associated with allergy might provide novel insights into the shared or unique etiology of asthma, rhinitis, and eczema. OBJECTIVE: We sought to identify DNA methylationprofilesassociated with childhood allergy. METHODS: Within the European Mechanisms of the Development of Allergy (MeDALL) consortium, we performed an epigenome-wide association study of whole blood DNA methylation by using a cross-sectional design. Allergy was defined as having symptoms from at least 1 allergic disease (asthma, rhinitis, or eczema) and positive serum-specific IgE to common aeroallergens. The discovery study included 219 case patients and 417 controls at age 4 years and 228 case patients and 593 controls at age 8 years from 3 birth cohorts, with replication analyses in 325 case patients and 1111 controls. We performed additional analyses on 21 replicated sites in 785 case patients and 2124 controls by allergic symptoms only from 8 cohorts, 3 of which were not previously included in analyses. RESULTS: We identified 80 differentially methylated CpG sites that showed a 1% to 3% methylation difference in the discovery phase, of which 21 (including 5 novel CpG sites) passed genome-wide significance after meta-analysis. All 21 CpG sites were also significantly differentially methylated with allergic symptoms and shared between asthma, rhinitis, and eczema. The 21 CpG sites mapped to relevant genes, including ACOT7, LMAN3, and CLDN23. All 21 CpG sties were differently methylated in asthma in isolated eosinophils, and 10 were replicated in respiratory epithelium. CONCLUSION: Reduced whole blood DNA methylation at 21 CpG sites was significantly associated with childhood allergy. The findings provide novel insights into the shared molecular mechanisms underlying asthma, rhinitis, and eczema.
Published: 2021

20. Improving coeliac disease risk prediction by testing non-HLA variants additional to HLA variants

Author: Romanos, Jihane, Rosén, Anna, Kumar, Vinod, Trynka, Gosia, Franke, Lude, Szperl, Agata, Gutierrez-Achury, Javier, van Diemen, Cleo C, Kanninga, Roan, Jankipersadsing, Soesma A, Steck, Andrea, Eisenbarth, Georges, van Heel, David A, Cukrowska, Bozena, Bruno, Valentina, Mazzilli, Maria Cristina, Núñez, Concepcion, Bilbao, Jose Ramon, Mearin, M Luisa, Barisani, Donatella, Rewers, Marian, Norris, Jill M, Ivarsson, Anneli, Boezen, H Marieke, Liu, Edwin, Wijmenga, Cisca, Scerri, Cristian, Koltai, Tunde, Kolaček, Sanja, Mišak, Zrinka, Abdović, Slaven, Koletzko, Sibylle, Osiander, Gertraud, Werkstetter, Katharina, Mummert, Eckart, Korponay-Szabo, Ilma R, Gyimesi, Judit, Shamir, Raanan, Hartman, Corina, Bravi, Enzo, Poles, Marco, Auricchio, Renata, Limongelli, G Gianna Giovamma, Greco, Luigi, Troncone, Riccardo, Villanacci, Vincenzo, Bindels, Jacques G, Brand, Ronald, Kupper, Bibi Funke, Esch, Caroline E Hogen, Hopman, Erica G, Koning, Frits, Kooy-Winkelaar, Yvonne, te Marvelde, Chantal, Putter, Hein, Stoopman, Els, Vriezinga, Sabine, Sollid, Ludvig M, Ráki, Melinda, Chmielewska, Ania, Dziechciarz, Piotr, Pieścik-Lech, Małgorzata, Szajewska, Hania, Szaflarska-Szczepanik, Anna, Castillejo, Gemma, Capilla, Amalia, Varea, Vicente, Ribes-Koninckx, Carmen, Lopez, Anna, Crespo, Paula, Martinez, Eva, Polanco, Isabel, Högberg, Lotta, Stenhammar, Lars, Carlsson, Annelie, Webb, Charlotta, Hammarroth, Solveig, Hernell, Olle, Lagerqvist, Carina, Myléus, Anna, Nordyke, Katrina, Norström, Fredrik, Sandström, Olof, Wall, Stig, and Karlsson, Eva
Published: 2014
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21. Analysis of 1135 gut metagenomes identifies sex-specific resistome profiles

Author: Massachusetts Institute of Technology. Department of Biological Engineering, Massachusetts Institute of Technology. Center for Microbiome Informatics and Therapeutics, Broad Institute of MIT and Harvard, Massachusetts Institute of Technology. Department of Civil and Environmental Engineering, Sinha, Trishla, Vich Vila, Arnau, Garmaeva, Sanzhima, Jankipersadsing, Soesma A., Imhann, Floris, Collij, Valerie, Bonder, Marc Jan, Jiang, Xiaofang, Gurry, Thomas Jerome, Alm, Eric J, D’Amato, Mauro, Weersma, Rinse K., Scherjon, Sicco, Wijmenga, Cisca, Fu, Jingyuan, Kurilshikov, Alexander, Zhernakova, Alexandra, Massachusetts Institute of Technology. Department of Biological Engineering, Massachusetts Institute of Technology. Center for Microbiome Informatics and Therapeutics, Broad Institute of MIT and Harvard, Massachusetts Institute of Technology. Department of Civil and Environmental Engineering, Sinha, Trishla, Vich Vila, Arnau, Garmaeva, Sanzhima, Jankipersadsing, Soesma A., Imhann, Floris, Collij, Valerie, Bonder, Marc Jan, Jiang, Xiaofang, Gurry, Thomas Jerome, Alm, Eric J, D’Amato, Mauro, Weersma, Rinse K., Scherjon, Sicco, Wijmenga, Cisca, Fu, Jingyuan, Kurilshikov, Alexander, and Zhernakova, Alexandra
Abstract: Published with license by Taylor & Francis Group, LLC. Several gastrointestinal diseases show a sex imbalance, although the underlying (patho)physiological mechanisms behind this are not well understood. The gut microbiome may be involved in this process, forming a complex interaction with host immune system, sex hormones, medication and other environmental factors. Here we performed sex-specific analyses of fecal microbiota composition in 1135 individuals from a population-based cohort. The overall gut microbiome composition of females and males was significantly different (p = 0.001), with females showing a greater microbial diversity (p = 0.009). After correcting for the effects of intrinsic factors, smoking, diet and medications, female hormonal factors such as the use of oral contraceptives and undergoing an ovariectomy were associated with microbial species and pathways. Females had a higher richness of antibiotic-resistance genes, with the most notable being resistance to the lincosamide nucleotidyltransferase (LNU) gene family. The higher abundance of resistance genes is consistent with the greater prescription of the Macrolide-Lincosamide-Streptogramin classes of antibiotics to females. Furthermore, we observed an increased resistance to aminoglycosides in females with self-reported irritable bowel syndrome. These results throw light upon the effects of common medications that are differentially prescribed between sexes and highlight the importance of sex-specific analysis when studying the gut microbiome and resistome.
Published: 2020

22. Lifelines COVID-19 cohort: investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort

Author: Mc Intyre, Katherine, primary, Lanting, Pauline, additional, Deelen, Patrick, additional, Wiersma, Henry H, additional, Vonk, Judith M, additional, Ori, Anil P S, additional, Jankipersadsing, Soesma A, additional, Warmerdam, Robert, additional, van Blokland, Irene, additional, Boulogne, Floranne, additional, Dijkema, Marjolein X L, additional, Herkert, Johanna C, additional, Claringbould, Annique, additional, Bakker, Olivier, additional, Lopera Maya, Esteban A, additional, Bültmann, Ute, additional, Zhernakova, Alexandra, additional, Reijneveld, Sijmen A, additional, Zijlstra, Elianne, additional, Swertz, Morris A, additional, Brouwer, Sandra, additional, van Ooijen, Raun, additional, Angelini, Viola, additional, Dekker, Louise H, additional, Sijtsma, Anna, additional, Scherjon, Sicco A, additional, Wijmenga, Cisca, additional, Dekens, Jackie A M, additional, Mierau, Jochen, additional, Boezen, H Marike, additional, and Franke, Lude, additional
Published: 2021
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23. The Lifelines COVID-19 Cohort: a questionnaire-based study to investigate COVID-19 infection and its health and societal impacts in a Dutch population-based cohort

Author: Intyre, Kate Mc, primary, Lanting, Pauline, additional, Deelen, Patrick, additional, Wiersma, Henry, additional, Vonk, Judith M., additional, Ori, Anil P.S., additional, Jankipersadsing, Soesma A., additional, Warmerdam, Robert, additional, van Blokland, Irene, additional, Boulogne, Floranne, additional, Dijkema, Marjolein X.L., additional, Herkert, Johanna C., additional, Claringbould, Annique, additional, Bakker, Olivier, additional, Lopera Maya, Esteban A., additional, Bültmann, Ute, additional, Zhernakova, Alexandra, additional, Reijneveld, Sijmen A., additional, Zijlstra, Elianne, additional, Swertz, Morris, additional, Brouwer, Sandra, additional, van Ooijen, R., additional, Angelini, Viola, additional, Dekker, Louise, additional, Sijtsma, Anna, additional, Scherjon, Sicco A., additional, Dekens, Jackie, additional, Mierau, Jochen O., additional, Boezen, H. Marike, additional, and Franke, Lude, additional
Published: 2020
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24. Lifelines NEXT: a prospective birth cohort adding the next generation to the three-generation Lifelines cohort study

Author: Warmink-Perdijk, Willemijn D. B., primary, Peters, Lilian L., additional, Tigchelaar, Ettje F., additional, Dekens, Jackie A. M., additional, Jankipersadsing, Soesma A., additional, Zhernakova, Alexandra, additional, Bossers, Willem J. R., additional, Sikkema, Jan, additional, de Jonge, Ank, additional, Reijneveld, Sijmen A., additional, Verkade, Henkjan J., additional, Koppelman, Gerard H., additional, Wijmenga, Cisca, additional, Kuipers, Folkert, additional, and Scherjon, Sicco A., additional
Published: 2020
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25. Sex and Gender-Related Differences in COVID-19 Diagnoses and SARS-CoV-2 Testing Practices During the First Wave of the Pandemic: The Dutch Lifelines COVID-19 Cohort Study.

Author: Ballering, Aranka Viviënne, Oertelt-Prigione, Sabine, olde Hartman, Tim C., Rosmalen, Judith G.M., Boezen, Marike, Mierau, Jochen O., Franke, Lude H., Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P.S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X.L., Wiersma, Henry H., Warmerdam, Robert, and Jankipersadsing, Soesma A.
Subjects: STATISTICS, EVALUATION of medical care, REVERSE transcriptase polymerase chain reaction, COVID-19, CONFIDENCE intervals, MULTIPLE regression analysis, SEX distribution, EMPLOYMENT, DESCRIPTIVE statistics, COVID-19 testing, POLYMERASE chain reaction, SMOKING, ODDS ratio, COVID-19 pandemic, LONGITUDINAL method, COMORBIDITY
Abstract: Background: Although sex differences are described in Coronavirus Disease 2019 (COVID-19) diagnoses and testing, many studies neglect possible gender-related influences. Additionally, research is often performed in clinical populations, while most COVID-19 patients are not hospitalized. Therefore, we investigated associations between sex and gender-related variables, and COVID-19 diagnoses and testing practices in a large general population cohort during the first wave of the pandemic when testing capacity was limited. Methods: We used data from the Lifelines COVID-19 Cohort (N = 74,722; 60.8% female). We applied bivariate and multiple logistic regression analyses. The outcomes were a COVID-19 diagnosis (confirmed by SARS-CoV-2 PCR testing or physician's clinical diagnosis) and PCR testing. Independent variables included among others participants' sex, age, somatic comorbidities, occupation, and smoking status. Sex-by-comorbidity and sex-by-occupation interaction terms were included to investigate sex differences in associations between the presence of comorbidities or an occupation with COVID-19 diagnoses or testing practices. Results: In bivariate analyses female sex was significantly associated with COVID-19 diagnoses and testing, but significance did not persist in multiple logistic regression analyses. However, a gender-related variable, being a health care worker, was significantly associated with COVID-19 diagnoses (OR = 1.68; 95%CI = 1.30–2.17) and testing (OR = 12.5; 95%CI = 8.55–18.3). Female health care workers were less often diagnosed and tested than male health care workers (ORinteraction = 0.54; 95%CI = 0.32–0.92, ORinteraction = 0.53; 95%CI = 0.29–0.97, respectively). Conclusions: We found no sex differences in COVID-19 diagnoses and testing in the general population. Among health care workers, a male preponderance in COVID-19 diagnoses and testing was observed. This could be explained by more pronounced COVID-19 symptoms in males or by gender inequities. [ABSTRACT FROM AUTHOR]
Published: 2021
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26. Author Correction: Symptoms and quality of life before, during, and after a SARS‑CoV‑2 PCR positive or negative test: data from Lifelines.

Author: Goërtz, Yvonne M. J., Spruit, Martijn A., Van Herck, Maarten, Dukers-Muijrers, Nicole, Boezen, H. Marike, Mierau, Jochen O., Franke, H. Lude, Dekens, Jackie, Deelen, Patrick, Lanting, Pauline, Vonk, Judith M., Nolte, Ilja, Ori, Anil P. S., Claringbould, Annique, Boulogne, Floranne, Dijkema, Marjolein X. L., Wiersma, Henry H., Warmerdam, Robert, Jankipersadsing, Soesma A., and van Blokland, Irene
Subjects: SARS-CoV-2, QUALITY of life, SYMPTOMS, CONSORTIA
Abstract: This document is a correction notice for an article titled "Symptoms and quality of life before, during, and after a SARS-CoV-2 PCR positive or negative test: data from Lifelines" published in Scientific Reports. The correction states that H. Marike Boezen, one of the authors, is deceased. Additionally, there was an error in the Consortium list, where Judith G. M. Rosmalen was incorrectly listed as an author. The correction has been made to the original article. The authors of the article are Yvonne M. J. Goërtz, Martijn A. Spruit, Maarten Van Herck, Nicole Dukers-Muijrers, H. Marike Boezen, Jochen O. Mierau, H. Lude Franke, Jackie Dekens, Patrick Deelen, Pauline Lanting, Judith M. Vonk, Ilja Nolte, Anil P. S. Ori, Annique Claringbould, Floranne Boulogne, Marjolein X. L. Dijkema, Henry H. Wiersma, Robert Warmerdam, Soesma A. Jankipersadsing, Irene van Blokland, Geertruida H. de Bock, Cisca Wijmenga, Carla J. H. van der Kallen, Chris Burtin, and Daisy J. A. Janssen. [Extracted from the article]
Published: 2024
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27. DNA methylation in childhood asthma : an epigenome-wide meta-analysis

Author: Xu, Cheng Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C.Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A., Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J., Aguirre-Gamboa, Raul, de Jongste, Johan C., Smit, Henriette A., Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R.C., Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, van der Vlies, Pieter, van Diemen, Cleo C., Li, Yang, Wijmenga, Cisca, Netea, Mihai G., Moffatt, Miriam F., Cookson, William O.C.M., Anto, Josep M., Brunekreef, Bert, the BIOS Consortium, Xu, Cheng Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C.Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A., Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J., Aguirre-Gamboa, Raul, de Jongste, Johan C., Smit, Henriette A., Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R.C., Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, van der Vlies, Pieter, van Diemen, Cleo C., Li, Yang, Wijmenga, Cisca, Netea, Mihai G., Moffatt, Miriam F., Cookson, William O.C.M., Anto, Josep M., Brunekreef, Bert, and the BIOS Consortium
Published: 2018

28. Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

Author: Vila, Arnau Vich, Vila, Arnau Vich, Imhann, Floris, Collij, Valerie, Jankipersadsing, Soesma A., Gurry, Thomas, Mujagic, Zlatan, Kurilshikov, Alexander, Bonder, Marc Jan, Jiang, Xiaofang, Tigchelaar, Ettje F., Dekens, Jackie, Peters, Vera, Voskuil, Michiel D., Visschedijk, Marijn C., van Dullemen, Hendrik M., Keszthelyi, Daniel, Swertz, Morris A., Franke, Lude, Alberts, Rudi, Festen, Eleonora A. M., Dijkstra, Gerard, Masclee, Ad A. M., Hofker, Marten H., Xavier, Ramnik J., Alm, Eric J., Fu, Jingyuan, Section, Cisca Wijmenga, Section, Daisy M. A. E. Jonkers, Zhernakova, Alexandra, Weersma, Rinse K., Vila, Arnau Vich, Vila, Arnau Vich, Imhann, Floris, Collij, Valerie, Jankipersadsing, Soesma A., Gurry, Thomas, Mujagic, Zlatan, Kurilshikov, Alexander, Bonder, Marc Jan, Jiang, Xiaofang, Tigchelaar, Ettje F., Dekens, Jackie, Peters, Vera, Voskuil, Michiel D., Visschedijk, Marijn C., van Dullemen, Hendrik M., Keszthelyi, Daniel, Swertz, Morris A., Franke, Lude, Alberts, Rudi, Festen, Eleonora A. M., Dijkstra, Gerard, Masclee, Ad A. M., Hofker, Marten H., Xavier, Ramnik J., Alm, Eric J., Fu, Jingyuan, Section, Cisca Wijmenga, Section, Daisy M. A. E. Jonkers, Zhernakova, Alexandra, and Weersma, Rinse K.
Abstract: Changes in the gut microbiota have been associated with two of the most common gastrointestinal diseases, inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). Here, we performed a case-control analysis using shotgun metagenomic sequencing of stool samples from 1792 individuals with IBD and IBS compared with control individuals in the general population. Despite substantial overlap between the gut microbiome of patients with IBD and IBS compared with control individuals, we were able to use gut microbiota composition differences to distinguish patients with IBD from those with IBS. By combining species-level profiles and strain-level profiles with bacterial growth rates, metabolic functions, antibiotic resistance, and virulence factor analyses, we identified key bacterial species that may be involved in two common gastrointestinal diseases.
Published: 2018

29. DNA methylation in childhood asthma: an epigenome-wide meta-analysis

Author: One Health Chemisch, dIRAS RA-2, Xu, Cheng-Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A, Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J, Aguirre-Gamboa, Raul, de Jongste, Johan C, Smit, Henriette A, Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R C, Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, the BIOS Consortium, van der Vlies, Pieter, van Diemen, Cleo C, Li, Yang, Wijmenga, Cisca, Netea, Mihai G, Moffatt, Miriam F, Cookson, William O C M, Anto, Josep M, Bousquet, Jean, Laatikainen, Tiina, Laprise, Catherine, Carlsen, Kai-Hakon, Gori, Davide, Porta, Daniela, Iñiguez, Carmen, Bilbao, Jose Ramon, Kogevinas, Manolis, Wright, John, Brunekreef, Bert, Kere, Juha, Nawijn, Martijn C, Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, Koppelman, Gerard H, One Health Chemisch, dIRAS RA-2, Xu, Cheng-Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A, Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J, Aguirre-Gamboa, Raul, de Jongste, Johan C, Smit, Henriette A, Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R C, Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, the BIOS Consortium, van der Vlies, Pieter, van Diemen, Cleo C, Li, Yang, Wijmenga, Cisca, Netea, Mihai G, Moffatt, Miriam F, Cookson, William O C M, Anto, Josep M, Bousquet, Jean, Laatikainen, Tiina, Laprise, Catherine, Carlsen, Kai-Hakon, Gori, Davide, Porta, Daniela, Iñiguez, Carmen, Bilbao, Jose Ramon, Kogevinas, Manolis, Wright, John, Brunekreef, Bert, Kere, Juha, Nawijn, Martijn C, Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, and Koppelman, Gerard H
Published: 2018

30. DNA methylation in childhood asthma: an epigenome-wide meta-analysis

Author: Public Health Epidemiologie, Circulatory Health, Child Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Infectieziekten, Epi Infectieziekten Team 3, Xu, Cheng Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C.Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A., Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J., Aguirre-Gamboa, Raul, de Jongste, Johan C., Smit, Henriette A., Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R.C., Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, van der Vlies, Pieter, van Diemen, Cleo C., Li, Yang, Wijmenga, Cisca, Netea, Mihai G., Moffatt, Miriam F., Cookson, William O.C.M., Anto, Josep M., Brunekreef, Bert, the BIOS Consortium, Public Health Epidemiologie, Circulatory Health, Child Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Infectieziekten, Epi Infectieziekten Team 3, Xu, Cheng Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C.Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A., Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J., Aguirre-Gamboa, Raul, de Jongste, Johan C., Smit, Henriette A., Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R.C., Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, van der Vlies, Pieter, van Diemen, Cleo C., Li, Yang, Wijmenga, Cisca, Netea, Mihai G., Moffatt, Miriam F., Cookson, William O.C.M., Anto, Josep M., Brunekreef, Bert, and the BIOS Consortium
Published: 2018

31. Letter: A GWAS meta-analysis suggests roles for xenobiotic metabolism and ion channel activity in the biology of stool frequency in GUT, vol 66, issue 4, pp 756-758

Author: Jankipersadsing, Soesma A., Hadizadeh, Fatemeh, Jan Bonder, Marc, Tigchelaar, Ettje F., Deelen, Patrick, Fu, Jingyuan, Andreasson, Anna, Agreus, Lars, Walter, Susanna, Wijmenga, Cisca, Hysi, Pirro, DAmato, Mauro, and Zhernakova, Alexandra
Subjects: Klinisk medicin, Clinical Medicine
Abstract: n/a Funding Agencies|Top Institute Food and Nutrition, Wageningen [GH001]; Netherlands Organization for Scientific Research [NWO-VIDI 864.13.013]; Swedish Research Council (VR); University of Groningen
Published: 2017

32. The emerging landscape of dynamic DNA methylation in early childhood

Author: Xu, Cheng-Jian, Bonder, Marc Jan, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gehring, Ulrike, Jankipersadsing, Soesma A, Van Der Vlies, Pieter, van Diemen, Cleo C, van Rijkom, Bianca, Just, Jocelyne, Kull, Inger, Kere, Juha, Antó, Josep Maria, Bousquet, Jean, Zhernakova, Alexandra, Wijmenga, Cisca, Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, Li, Yang, Postma, Dirkje S, Koppelman, Gerard H, LS IRAS EEPI ME (Milieu epidemiologie), dIRAS RA-2, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Vieillissement et Maladies chroniques : approches épidémiologique et de santé publique (VIMA), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de l'Asthme et des Allergies [CHU Trousseau], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Research Programs Unit, Juha Kere / Principal Investigator, LS IRAS EEPI ME (Milieu epidemiologie), dIRAS RA-2, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), and Groningen Research Institute for Asthma and COPD (GRIAC)
Subjects: Epigenomics, 0301 basic medicine, Aging, Methylation quatitative trait loci, ADN, DISEASE, Methylation quantitative trait loci, Epigenesis, Genetic, Child Development, Pregnancy, Non-U.S. Gov't, Child, POPULATION, Maternal smoking, Genetics, DNA methylation, NEWBORNS, Research Support, Non-U.S. Gov't, Smoking, 1184 Genetics, developmental biology, physiology, Environmental exposure, Methylation, 3. Good health, D-ASPARTATE, Maternal Exposure, Child, Preschool, Prenatal Exposure Delayed Effects, Female, Metilació, PROJECT, Research Article, Infància, Biotechnology, Quantitative Trait Loci, Genomics, Quantitative trait locus, Biology, Research Support, 03 medical and health sciences, AGE, Genetic, MICROARRAY, Journal Article, Humans, Genetic Predisposition to Disease, COHORT, Epigenetics, Preschool, Gene, METAANALYSIS, [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Infant, Newborn, Genetic Variation, Infant, DNA, DNA Methylation, Newborn, Childhood, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, ASTHMA, CpG Islands, 3111 Biomedicine, Epigenesis, Genome-Wide Association Study
Abstract: Background: DNA methylation has been found to associate with disease, aging and environmental exposure, but it is unknown how genome, environment and disease influence DNA methylation dynamics in childhood. Results: By analysing 538 paired DNA blood samples from children at birth and at 4–5 years old and 726 paired samples from children at 4 and 8 years old from four European birth cohorts using the Illumina Infinium Human Methylation 450 k chip, we have identified 14,150 consistent age-differential methylation sites (a-DMSs) at epigenome-wide significance of p
Published: 2017
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33. Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome

Author: Vich Vila, Arnau, primary, Imhann, Floris, additional, Collij, Valerie, additional, Jankipersadsing, Soesma A., additional, Gurry, Thomas, additional, Mujagic, Zlatan, additional, Kurilshikov, Alexander, additional, Bonder, Marc Jan, additional, Jiang, Xiaofang, additional, Tigchelaar, Ettje F., additional, Dekens, Jackie, additional, Peters, Vera, additional, Voskuil, Michiel D., additional, Visschedijk, Marijn C., additional, van Dullemen, Hendrik M., additional, Keszthelyi, Daniel, additional, Swertz, Morris A., additional, Franke, Lude, additional, Alberts, Rudi, additional, Festen, Eleonora A. M., additional, Dijkstra, Gerard, additional, Masclee, Ad A. M., additional, Hofker, Marten H., additional, Xavier, Ramnik J., additional, Alm, Eric J., additional, Fu, Jingyuan, additional, Wijmenga, Cisca, additional, Jonkers, Daisy M. A. E., additional, Zhernakova, Alexandra, additional, and Weersma, Rinse K., additional
Published: 2018
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34. Analysis of 1135 gut metagenomes identifies sex-specific resistome profiles

Author: Sinha, Trishla, primary, Vich Vila, Arnau, additional, Garmaeva, Sanzhima, additional, Jankipersadsing, Soesma A., additional, Imhann, Floris, additional, Collij, Valerie, additional, Bonder, Marc Jan, additional, Jiang, Xiaofang, additional, Gurry, Thomas, additional, Alm, Eric J., additional, D’Amato, Mauro, additional, Weersma, Rinse K., additional, Scherjon, Sicco, additional, Wijmenga, Cisca, additional, Fu, Jingyuan, additional, Kurilshikov, Alexander, additional, and Zhernakova, Alexandra, additional
Published: 2018
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35. Epigenome-Wide Meta-Analysis of Methylation in Children Related to Prenatal NO2 Air Pollution Exposure

Author: Gruzieva, Olena, Xu, Cheng-Jian, Breton, Carrie V, Annesi-Maesano, Isabella, Anto, Josep M, Auffray, Charles, Ballereau, Stephane, Bellander, Tom, Bousquet, Jean, Bustamante, Mariona, Charles, Marie Aline, de Kluizenaar, Yvonne, den Dekker, Herman T, Duijts, Liesbeth, Felix, Janine F, Gehring, Ulrike, Guxens, Monica, Jaddoe, Vincent W V, Jankipersadsing, Soesma A, Merid, Simon Kebede, Kere, Juha, Kumar, Ashish, Lemonnier, Nathanael, Lepeule, Johanna, Nystad, Wenche, Page, Christian Magnus, Panasevich, Sviatlana, Postma, Dirkje, Slama, Remy, Sunyer, Jordi, Soderhall, Cilla, Yao, Jin, London, Stephanie J, Pershagen, Goran, Koppelman, Gerard H, Melen, Erik, Gruzieva, Olena, Xu, Cheng-Jian, Breton, Carrie V, Annesi-Maesano, Isabella, Anto, Josep M, Auffray, Charles, Ballereau, Stephane, Bellander, Tom, Bousquet, Jean, Bustamante, Mariona, Charles, Marie Aline, de Kluizenaar, Yvonne, den Dekker, Herman T, Duijts, Liesbeth, Felix, Janine F, Gehring, Ulrike, Guxens, Monica, Jaddoe, Vincent W V, Jankipersadsing, Soesma A, Merid, Simon Kebede, Kere, Juha, Kumar, Ashish, Lemonnier, Nathanael, Lepeule, Johanna, Nystad, Wenche, Page, Christian Magnus, Panasevich, Sviatlana, Postma, Dirkje, Slama, Remy, Sunyer, Jordi, Soderhall, Cilla, Yao, Jin, London, Stephanie J, Pershagen, Goran, Koppelman, Gerard H, and Melen, Erik
Abstract: BACKGROUND: Prenatal exposure to air pollution is considered to be associated with adverse effects on child health. This may partly be mediated by mechanisms related to DNA methylation. OBJECTIVES: We investigated associations between exposure to air pollution, using nitrogen dioxide (NO2) as marker, and epigenome-wide cord blood DNA methylation. METHODS: We meta-analyzed the associations between NO2 exposure at residential addresses during pregnancy and cord blood DNA methylation (Illumina 450K) in four European and North American studies (n = 1,508) with subsequent look-up analyses in children ages 4 (n = 733) and 8 (n = 786) years. Additionally, we applied a literature-based candidate approach for antioxidant and anti-inflammatory genes. To assess influence of exposure at the transcriptomics level, we related mRNA expression in blood cells to NO2 exposure in 4- (n = 111) and 16-year-olds (n = 239). RESULTS: We found epigenome-wide significant associations [false discovery rate (FDR) p < 0.05] between maternal NO2 exposure during pregnancy and DNA methylation in newborns for 3 CpG sites in mitochondria-related genes: cg12283362 (LONP1), cg24172570 (3.8 kbp upstream of HIBADH), and cg08973675 (SLC25A28). The associations with cg08973675 methylation were also significant in the older children. Further analysis of antioxidant and anti-inflammatory genes revealed differentially methylated CpGs in CAT and TPO in newborns (FDR p < 0.05). NO2 exposure at the time of biosampling in childhood had a significant impact on CAT and TPO expression. CONCLUSIONS: NO2 exposure during pregnancy was associated with differential offspring DNA methylation in mitochondria-related genes. Exposure to NO2 was also linked to differential methylation as well as expression of genes involved in antioxidant defense pathways. Citation: Gruzieva O, Xu CJ, Breton CV, Annesi-Maesano I, Antó JM, Auffray C, Ballereau S, Bellander T, Bousquet J, Bustamante M, Charles MA, de Kluizenaar Y, den De
Published: 2017

36. A GWAS meta-analysis suggests roles for xenobiotic metabolism and ion channel activity in the biology of stool frequency

Author: Jankipersadsing, Soesma A., Hadizadeh, Fatemeh, Bonder, Marc Jan, Tigchelaar, Ettje F., Deelen, Patrick, Fu, Jingyuan, Andreasson, Anna, Agreus, Lars, Walter, Susanna, Wijmenga, Cisca, Hysi, Pirro, D'Amato, Mauro, Zhernakova, Alexandra, Jankipersadsing, Soesma A., Hadizadeh, Fatemeh, Bonder, Marc Jan, Tigchelaar, Ettje F., Deelen, Patrick, Fu, Jingyuan, Andreasson, Anna, Agreus, Lars, Walter, Susanna, Wijmenga, Cisca, Hysi, Pirro, D'Amato, Mauro, and Zhernakova, Alexandra
Published: 2017
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37. Epigenome-Wide Meta-Analysis of Methylation in Children Related to Prenatal NO2 Air Pollution Exposure

Author: LS IRAS EEPI ME (Milieu epidemiologie), dIRAS RA-2, Gruzieva, Olena, Xu, Cheng-Jian, Breton, Carrie V, Annesi-Maesano, Isabella, Anto, Josep M, Auffray, Charles, Ballereau, Stephane, Bellander, Tom, Bousquet, Jean, Bustamante, Mariona, Charles, Marie Aline, de Kluizenaar, Yvonne, den Dekker, Herman T, Duijts, Liesbeth, Felix, Janine F, Gehring, Ulrike, Guxens, Monica, Jaddoe, Vincent W V, Jankipersadsing, Soesma A, Merid, Simon Kebede, Kere, Juha, Kumar, Ashish, Lemonnier, Nathanael, Lepeule, Johanna, Nystad, Wenche, Page, Christian Magnus, Panasevich, Sviatlana, Postma, Dirkje, Slama, Remy, Sunyer, Jordi, Soderhall, Cilla, Yao, Jin, London, Stephanie J, Pershagen, Goran, Koppelman, Gerard H, Melen, Erik, LS IRAS EEPI ME (Milieu epidemiologie), dIRAS RA-2, Gruzieva, Olena, Xu, Cheng-Jian, Breton, Carrie V, Annesi-Maesano, Isabella, Anto, Josep M, Auffray, Charles, Ballereau, Stephane, Bellander, Tom, Bousquet, Jean, Bustamante, Mariona, Charles, Marie Aline, de Kluizenaar, Yvonne, den Dekker, Herman T, Duijts, Liesbeth, Felix, Janine F, Gehring, Ulrike, Guxens, Monica, Jaddoe, Vincent W V, Jankipersadsing, Soesma A, Merid, Simon Kebede, Kere, Juha, Kumar, Ashish, Lemonnier, Nathanael, Lepeule, Johanna, Nystad, Wenche, Page, Christian Magnus, Panasevich, Sviatlana, Postma, Dirkje, Slama, Remy, Sunyer, Jordi, Soderhall, Cilla, Yao, Jin, London, Stephanie J, Pershagen, Goran, Koppelman, Gerard H, and Melen, Erik
Published: 2017

38. The emerging landscape of dynamic DNA methylation in early childhood

Author: LS IRAS EEPI ME (Milieu epidemiologie), dIRAS RA-2, Xu, Cheng-Jian, Bonder, Marc Jan, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gehring, Ulrike, Jankipersadsing, Soesma A, Van Der Vlies, Pieter, van Diemen, Cleo C, van Rijkom, Bianca, Just, Jocelyne, Kull, Inger, Kere, Juha, Antó, Josep Maria, Bousquet, Jean, Zhernakova, Alexandra, Wijmenga, Cisca, Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, Li, Yang, Postma, Dirkje S, Koppelman, Gerard H, LS IRAS EEPI ME (Milieu epidemiologie), dIRAS RA-2, Xu, Cheng-Jian, Bonder, Marc Jan, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gehring, Ulrike, Jankipersadsing, Soesma A, Van Der Vlies, Pieter, van Diemen, Cleo C, van Rijkom, Bianca, Just, Jocelyne, Kull, Inger, Kere, Juha, Antó, Josep Maria, Bousquet, Jean, Zhernakova, Alexandra, Wijmenga, Cisca, Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, Li, Yang, Postma, Dirkje S, and Koppelman, Gerard H
Published: 2017

39. Epigenome-Wide Meta-Analysis of Methylation in Children Related to Prenatal NO 2 Air Pollution Exposure

Author: Gruzieva, Olena, primary, Xu, Cheng-Jian, additional, Breton, Carrie V., additional, Annesi-Maesano, Isabella, additional, Antó, Josep M., additional, Auffray, Charles, additional, Ballereau, Stéphane, additional, Bellander, Tom, additional, Bousquet, Jean, additional, Bustamante, Mariona, additional, Charles, Marie-Aline, additional, de Kluizenaar, Yvonne, additional, den Dekker, Herman T., additional, Duijts, Liesbeth, additional, Felix, Janine F., additional, Gehring, Ulrike, additional, Guxens, Mònica, additional, Jaddoe, Vincent V.W., additional, Jankipersadsing, Soesma A., additional, Merid, Simon Kebede, additional, Kere, Juha, additional, Kumar, Ashish, additional, Lemonnier, Nathanael, additional, Lepeule, Johanna, additional, Nystad, Wenche, additional, Page, Christian Magnus, additional, Panasevich, Sviatlana, additional, Postma, Dirkje, additional, Slama, Rémy, additional, Sunyer, Jordi, additional, Söderhäll, Cilla, additional, Yao, Jin, additional, London, Stephanie J., additional, Pershagen, Göran, additional, Koppelman, Gerard H., additional, and Melén, Erik, additional
Published: 2017
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40. DNA methylation mediates the effect of maternal smoking during pregnancy on birthweight of the offspring

Author: Küpers, Leanne K, Xu, Xiaojing, Jankipersadsing, Soesma A, Vaez, Ahmad, la Bastide-van Gemert, Sacha, Scholtens, Salome, Nolte, Ilja M, Richmond, Rebecca C, Relton, Caroline L, Felix, Janine F, Duijts, Liesbeth, van Meurs, Joyce B, Tiemeier, Henning, Jaddoe, Vincent W, Wang, Xiaoling, Corpeleijn, Eva, Snieder, Harold, Public Health, Erasmus MC other, Pediatrics, Internal Medicine, Epidemiology, Life Course Epidemiology (LCE), Reproductive Origins of Adult Health and Disease (ROAHD), and Lifestyle Medicine (LM)
Subjects: Adult, Male, TOBACCO-SMOKE, PRESCHOOL-CHILDREN, AUTOIMMUNITY, Epigenesis, Genetic, Cohort Studies, Pregnancy, Risk Factors, GECKO, Birth Weight, Humans, COHORT, CORD BLOOD, EXPOSURE, GENE-EXPRESSION, RISK, Early Life Environment, Generation R, IDENTIFICATION, Epigenetic epidemiology, Smoking, DOHaD, Infant, Newborn, ASSOCIATION, DNA Methylation, ALSPAC, Fetal Blood, epigenome-wide association study, DNA-Binding Proteins, fetal programming, Maternal Exposure, Prenatal Exposure Delayed Effects, Linear Models, Female, Genome-Wide Association Study, Transcription Factors
Abstract: Background: We examined whether the effect of maternal smoking during pregnancy on birthweight of the offspring was mediated by smoking-induced changes to DNA methylation in cord blood. Methods: First, we used cord blood of 129 Dutch children exposed to maternal smoking vs 126 unexposed to maternal and paternal smoking (53% male) participating in the GECKO Drenthe birth cohort. DNA methylation was measured using the Illumina HumanMethylation450 Beadchip. We performed an epigenome-wide association study for the association between maternal smoking and methylation followed by a mediation analysis of the top signals [false-discovery rate (FDR)
Published: 2015

41. Analysis of 1135 gut metagenomes identifies sex-specific resistome profiles.

Author: Sinha, Trishla, Vich Vila, Arnau, Garmaeva, Sanzhima, Jankipersadsing, Soesma A., Imhann, Floris, Collij, Valerie, Bonder, Marc Jan, Jiang, Xiaofang, Gurry, Thomas, Alm, Eric J., D'Amato, Mauro, Weersma, Rinse K., Scherjon, Sicco, Wijmenga, Cisca, Fu, Jingyuan, Kurilshikov, Alexander, and Zhernakova, Alexandra
Published: 2019
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42. DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis

Author: dIRAS RA-2, Risk Assessment, Joubert, Bonnie R, Felix, Janine F, Yousefi, Paul, Bakulski, Kelly M, Just, Allan C, Breton, Carrie, Reese, Sarah E, Markunas, Christina A, Richmond, Rebecca C, Xu, Cheng-Jian, Küpers, Leanne K, Oh, Sam S, Hoyo, Cathrine, Gruzieva, Olena, Söderhäll, Cilla, Salas, Lucas A, Baïz, Nour, Zhang, Hongmei, Lepeule, Johanna, Ruiz, Carlos, Ligthart, Symen, Wang, Tianyuan, Taylor, Jack A, Duijts, Liesbeth, Sharp, Gemma C, Jankipersadsing, Soesma A, Nilsen, Roy M, Vaez, Ahmad, Fallin, M Daniele, Hu, Donglei, Litonjua, Augusto A, Fuemmeler, Bernard F, Huen, Karen, Kere, Juha, Kull, Inger, Munthe-Kaas, Monica Cheng, Gehring, Ulrike, Bustamante, Mariona, Saurel-Coubizolles, Marie José, Quraishi, Bilal M, Ren, Jie, Tost, Jörg, Gonzalez, Juan R, Peters, Marjolein J, Håberg, Siri E, Xu, Zongli, van Meurs, Joyce B, Gaunt, Tom R, Kerkhof, Marjan, Corpeleijn, Eva, Feinberg, Andrew P, Eng, Celeste, Baccarelli, Andrea A, Benjamin Neelon, Sara E, Bradman, Asa, Merid, Simon Kebede, Bergström, Anna, Herceg, Zdenko, Hernandez-Vargas, Hector, Brunekreef, Bert, Pinart, Mariona, Heude, Barbara, Ewart, Susan, Yao, Jin, Lemonnier, Nathanaël, Franco, Oscar H, Wu, Michael C, Hofman, Albert, McArdle, Wendy, Van der Vlies, Pieter, Falahi, Fahimeh, Gillman, Matthew W, Barcellos, Lisa F, Kumar, Ashish, Wickman, Magnus, Guerra, Stefano, Charles, Marie-Aline, Holloway, John, Auffray, Charles, Tiemeier, Henning W, Smith, George Davey, Postma, Dirkje, Hivert, Marie-France, Eskenazi, Brenda, Vrijheid, Martine, Arshad, Hasan, Antó, Josep M, Dehghan, Abbas, Karmaus, Wilfried, Annesi-Maesano, Isabella, Sunyer, Jordi, Ghantous, Akram, Pershagen, Göran, Holland, Nina, Murphy, Susan K, DeMeo, Dawn L, Burchard, Esteban G, Ladd-Acosta, Christine, Snieder, Harold, Nystad, Wenche, Koppelman, Gerard H, Relton, Caroline L, Jaddoe, Vincent W V, Wilcox, Allen, Melén, Erik, London, Stephanie J, dIRAS RA-2, Risk Assessment, Joubert, Bonnie R, Felix, Janine F, Yousefi, Paul, Bakulski, Kelly M, Just, Allan C, Breton, Carrie, Reese, Sarah E, Markunas, Christina A, Richmond, Rebecca C, Xu, Cheng-Jian, Küpers, Leanne K, Oh, Sam S, Hoyo, Cathrine, Gruzieva, Olena, Söderhäll, Cilla, Salas, Lucas A, Baïz, Nour, Zhang, Hongmei, Lepeule, Johanna, Ruiz, Carlos, Ligthart, Symen, Wang, Tianyuan, Taylor, Jack A, Duijts, Liesbeth, Sharp, Gemma C, Jankipersadsing, Soesma A, Nilsen, Roy M, Vaez, Ahmad, Fallin, M Daniele, Hu, Donglei, Litonjua, Augusto A, Fuemmeler, Bernard F, Huen, Karen, Kere, Juha, Kull, Inger, Munthe-Kaas, Monica Cheng, Gehring, Ulrike, Bustamante, Mariona, Saurel-Coubizolles, Marie José, Quraishi, Bilal M, Ren, Jie, Tost, Jörg, Gonzalez, Juan R, Peters, Marjolein J, Håberg, Siri E, Xu, Zongli, van Meurs, Joyce B, Gaunt, Tom R, Kerkhof, Marjan, Corpeleijn, Eva, Feinberg, Andrew P, Eng, Celeste, Baccarelli, Andrea A, Benjamin Neelon, Sara E, Bradman, Asa, Merid, Simon Kebede, Bergström, Anna, Herceg, Zdenko, Hernandez-Vargas, Hector, Brunekreef, Bert, Pinart, Mariona, Heude, Barbara, Ewart, Susan, Yao, Jin, Lemonnier, Nathanaël, Franco, Oscar H, Wu, Michael C, Hofman, Albert, McArdle, Wendy, Van der Vlies, Pieter, Falahi, Fahimeh, Gillman, Matthew W, Barcellos, Lisa F, Kumar, Ashish, Wickman, Magnus, Guerra, Stefano, Charles, Marie-Aline, Holloway, John, Auffray, Charles, Tiemeier, Henning W, Smith, George Davey, Postma, Dirkje, Hivert, Marie-France, Eskenazi, Brenda, Vrijheid, Martine, Arshad, Hasan, Antó, Josep M, Dehghan, Abbas, Karmaus, Wilfried, Annesi-Maesano, Isabella, Sunyer, Jordi, Ghantous, Akram, Pershagen, Göran, Holland, Nina, Murphy, Susan K, DeMeo, Dawn L, Burchard, Esteban G, Ladd-Acosta, Christine, Snieder, Harold, Nystad, Wenche, Koppelman, Gerard H, Relton, Caroline L, Jaddoe, Vincent W V, Wilcox, Allen, Melén, Erik, and London, Stephanie J
Published: 2016

43. A GWAS meta-analysis suggests roles for xenobiotic metabolism and ion channel activity in the biology of stool frequency

Author: Jankipersadsing, Soesma A, primary, Hadizadeh, Fatemeh, additional, Bonder, Marc Jan, additional, Tigchelaar, Ettje F, additional, Deelen, Patrick, additional, Fu, Jingyuan, additional, Andreasson, Anna, additional, Agreus, Lars, additional, Walter, Susanna, additional, Wijmenga, Cisca, additional, Hysi, Pirro, additional, D'Amato, Mauro, additional, and Zhernakova, Alexandra, additional
Published: 2016
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44. Proton pump inhibitors affect the gut microbiome

Author: Imhann, Floris, primary, Bonder, Marc Jan, additional, Vich Vila, Arnau, additional, Fu, Jingyuan, additional, Mujagic, Zlatan, additional, Vork, Lisa, additional, Tigchelaar, Ettje F, additional, Jankipersadsing, Soesma A, additional, Cenit, Maria Carmen, additional, Harmsen, Hermie J M, additional, Dijkstra, Gerard, additional, Franke, Lude, additional, Xavier, Ramnik J, additional, Jonkers, Daisy, additional, Wijmenga, Cisca, additional, Weersma, Rinse K, additional, and Zhernakova, Alexandra, additional
Published: 2015
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45. The emerging landscape of dynamic DNA methylation in early childhood.

Author: Cheng-Jian Xu, Bonder, Marc Jan, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gehring, Ulrike, Jankipersadsing, Soesma A., van der Vlies, Pieter, van Diemen, Cleo C., van Rijkom, Bianca, Just, Jocelyne, Kull, Inger, Kere, Juha, Antó, Josep Maria, Bousquet, Jean, Zhernakova, Alexandra, Wijmenga, Cisca, Annesi-Maesano, Isabella, Sunyer, Jordi, and Melén, Erik
Subjects: DNA methylation, GENETIC transcription, GENE expression, PHYSIOLOGICAL effects of tobacco, EPIGENETICS, CHILD development
Abstract: Background: DNA methylation has been found to associate with disease, aging and environmental exposure, but it is unknown how genome, environment and disease influence DNA methylation dynamics in childhood. Results: By analysing 538 paired DNA blood samples from children at birth and at 4-5 years old and 726 paired samples from children at 4 and 8 years old from four European birth cohorts using the Illumina Infinium Human Methylation 450 k chip, we have identified 14,150 consistent age-differential methylation sites (a-DMSs) at epigenomewide significance of p <1.14 x 10-7. Genes with an increase in age-differential methylation were enriched in pathways related to 'development', and were more often located in bivalent transcription start site (TSS) regions, which can silence or activate expression of developmental genes. Genes with a decrease in age-differential methylation were involved in cell signalling, and enriched on H3K27ac, which can predict developmental state. Maternal smoking tended to decrease methylation levels at the identified da-DMSs. We also found 101 a-DMSs (0.71%) that were regulated by genetic variants using cis-differential Methylation Quantitative Trait Locus (cis-dMeQTL) mapping. Moreover, a-DMS-associated genes during early development were significantly more likely to be linked with disease. Conclusion: Our study provides new insights into the dynamic epigenetic landscape of the first 8 years of life. [ABSTRACT FROM AUTHOR]
Published: 2017
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46. Epigenome-Wide Meta-Analysis of Methylation in Children Related to Prenatal NO2 Air Pollution Exposure.

Author: Gruzieva, Olena, Xu, Cheng-Jian, Breton, Carrie V., Annesi-Maesano, Isabella, Antó, Josep M., Auffray, Charles, Ballereau, Stéphane, Bellander, Tom, Bousquet, Jean, Bustamante, Mariona, Charles, Marie-Aline, Kluizenaar, Yvonne de, Dekker, Herman T. den, Duijts, Liesbeth, Felix, Janine F., Gehring, Ulrike, Guxens, Mònica, Jaddoe, Vincent V. W., Jankipersadsing, Soesma A., and Merid, Simon Kebede
Subjects: AIR pollution, HEALTH, CHILDREN'S health, NITROGEN dioxide & the environment, DNA methylation, PRENATAL influences, MATERNAL exposure, HUMAN genome, MOTHER-child relationship, CORD blood, GENE expression, META-analysis, NITROGEN oxides, PROBABILITY theory, ENVIRONMENTAL exposure, MULTIPLE regression analysis, DATA analysis software, DESCRIPTIVE statistics, EPIGENOMICS, FETUS
Abstract: BACKGROUND: Prenatal exposure to air pollution is considered to be associated with adverse effects on child health. This may partly be mediated by mechanisms related to DNA methylation. OBJECTIVES: We investigated associations between exposure to air pollution, using nitrogen dioxide (NO2) as marker, and epigenome-wide cord blood DNA methylation. METHODS: We meta-analyzed the associations between NO2 exposure at residential addresses during pregnancy and cord blood DNA methylation (Illumina 450K) in four European and North American studies (n = 1,508) with subsequent look-up analyses in children ages 4 (n = 733) and 8 (n = 786) years. Additionally, we applied a literature-based candidate approach for antioxidant and anti-inflammatory genes. To assess influence of exposure at the transcriptornics level, we related mRNA expression in blood cells to NO2 exposure in 4- (n = 111) and 16-year-olds (n = 239). RESULTS: We found epigenome-wide significant associations [false discovery rate (FDR) p < 0.05] between maternal NO2 exposure during pregnancy and DNA methylation in newborns for 3 CpG sites in mitochondria-related genes: cgl2283362 (LONP1), cg24l72570 (3.8 kbp upstream of HIBADH), and cg08973675 (SLC25A28). The associations with cg08973675 methylation were also significant in the older children. Further analysis of antioxidant and anti-inflammatory genes revealed differentially methylated CpGs in CAT and TPO in newborns (FDR p < 0.05). NO2 exposure at the time of biosampling in childhood had a significant impact on CAT and TPO expression. CONCLUSIONS: NO2 exposure during pregnancy was associated with differential offspring DNA methylation in mitochondria-related genes. Exposure to NO2 was also linked to differential methylation as well as expression of genes involved in antioxidant defense pathways. CITATION: Gruzieva O, Xu CJ, Breton CV, Annesi-Maesano I, Antó JM, Auffray C, Ballereau S, Bellander T, Bousquet J, Bustamante M, Charles MA, de Kluizenaar Y, den Dekker HT, Duijts L, Felix JF, Gehring U, Guxens M, Jaddoe VV, Jankipersadsing SA, Merid SK, Kere J, Kumar A, Lemonnier N, Lepeule J, Nystad W, Page CM, Panasevich S, Postma D, Slama R, Sunyer J, Söderhäll C, Yao J, London SJ, Pershagen G, Koppelman GH, Melen E. 2017. Epigenome-wide meta-analysis of methylation in children related to prenatal NO2 air pollution exposure. Environ Health Perspect 125:104-110; http://dx.doi.org/10.1289/EHP36 [ABSTRACT FROM AUTHOR]
Published: 2017
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47. Proton pump inhibitors affect the gut microbiome.

Author: Imhann, Floris, Bonder, Marc Jan, Vila, Arnau Vich, Jingyuan Fu, Mujagic, Zlatan, Vork, Lisa, Tigchelaar, Ettje F., Jankipersadsing, Soesma A., Cenit, Maria Carmen, Harmsen, Hermie J. M., Dijkstra, Gerard, Franke, Lude, Xavier, Ramnik J., Jonkers, Daisy, Wijmenga, Cisca, Weersma, Rinse K., and Zhernakova, Alexandra
Subjects: PROTON pump inhibitors, CLOSTRIDIOIDES difficile, GUT microbiome, META-analysis, STREPTOCOCCUS, STAPHYLOCOCCUS
Abstract: Background and aims Proton pump inhibitors (PPIs) are among the top 10 most widely used drugs in the world. PPI use has been associated with an increased risk of enteric infections, most notably Clostridium difficile. The gut microbiome plays an important role in enteric infections, by resisting or promoting colonisation by pathogens. In this study, we investigated the influence of PPI use on the gut microbiome. Methods The gut microbiome composition of 1815 individuals, spanning three cohorts, was assessed by tag sequencing of the 16S rRNA gene. The difference in microbiota composition in PPI users versus non-users was analysed separately in each cohort, followed by a meta-analysis. Results 211 of the participants were using PPIs at the moment of stool sampling. PPI use is associated with a significant decrease in Shannon's diversity and with changes in 20% of the bacterial taxa (false discovery rate <0.05). Multiple oral bacteria were over-represented in the faecal microbiome of PPI-users, including the genus Rothia (p=9.8×10-38). In PPI users we observed a significant increase in bacteria: genera Enterococcus, Streptococcus, Staphylococcus and the potentially pathogenic species Escherichia coli. Conclusions The differences between PPI users and non-users observed in this study are consistently associated with changes towards a less healthy gut microbiome. These differences are in line with known changes that predispose to C. difficile infections and can potentially explain the increased risk of enteric infections in PPI users. On a population level, the effects of PPI are more prominent than the effects of antibiotics or other commonly used drugs. [ABSTRACT FROM AUTHOR]
Published: 2016
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48. A GWAS meta-analysis suggests roles for xenobiotic metabolism and ion channel activity in the biology of stool frequency

Author: Jankipersadsing, Soesma A, Hadizadeh, Fatemeh, Bonder, Marc Jan, Tigchelaar, Ettje F, Deelen, Patrick, Fu, Jingyuan, Andreasson, Anna, Agreus, Lars, Walter, Susanna, Wijmenga, Cisca, Hysi, Pirro, D'Amato, Mauro, and Zhernakova, Alexandra
Published: 2017
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49. Epigenome-wide meta-analysis of methylation in children related to prenatal NO2 air pollution exposure

Author: Gruzieva, Olena, Xu, Cheng-Jian, Breton, Carrie V., Annesi-Maesano, Isabella, Antó, Josep M., Auffray, Charles, Ballereau, Stéphane, Bellander, Tom, Bousquet, Jean, Bustamante, Mariona, Charles, Marie-Aline, de Kluizenaar, Yvonne, den Dekker, Herman T., Duijts, Liesbeth, Felix, Janine F., Gehring, Ulrike, Guxens, Mònica, Jaddoe, Vincent V. W., Jankipersadsing, Soesma A., Merid, Simon Kebede, Kere, Juha, Kumar, Ashish, Lemonnier, Nathanael, Lepeule, Johanna, Nystad, Wenche, Page, Christian Magnus, Panasevich, Sviatlana, Postma, Dirkje, Slama, Rémy, Sunyer, Jordi, Söderhäll, Cilla, Yao, Jin, London, Stephanie J., Pershagen, Göran, Koppelman, Gerard H., and Melén, Erik
Subjects: 2. Zero hunger, 13. Climate action, 3. Good health

50. DNA methylation in childhood asthma

Author: Mariona Bustamante, Francesco Forastiere, Henriette A. Smit, Petter Mowinckel, Marjan Kerkhof, Tari Haahtela, Martijn C. Nawijn, Raul Aguirre-Gamboa, Dan Mason, Mihai G. Netea, Cisca Wijmenga, Raf Azad, Vegard Hovland, John Wright, Josep M. Antó, Cilla Söderhäll, Pieter van der Vlies, William O.C.M. Cookson, Bianca van Rijkom, Lovisa E. Reinius, Soesma A Jankipersadsing, Leda Chatzi, Nour Baïz, Erik Melén, Daniela Porta, Olena Gruzieva, Juha Kere, Isabella Annesi-Maesano, Maties Torrent, Charles Auffray, Cleo C. van Diemen, Manolis Kogevinas, Davide Gori, Johann Pellet, Jose Ramon Bilbao, Harri Alenius, Göran Pershagen, Sabrina Llop, Miriam F. Moffatt, Nathanaël Lemonnier, Ashok Kumar, Simon Kebede Merid, Nanna Fyhrquist, Stephane Ballereau, Tiina Laatikainen, Cheng-Jian Xu, Johan C. de Jongste, Marc Jan Bonder, Judith Garcia-Aymerich, Karin C. Lødrup Carlsen, J Sunyer, Mikel Basterrechea, Dario Greco, Yang Li, Jean Bousquet, Ulrike Gehring, Catherine Laprise, Maria Pia Fantini, Rosemary R. C. McEachan, Bert Brunekreef, Stefano Guerra, Gerard H. Koppelman, Cornelis J. Vermeulen, Andréanne Morin, Carmen Iñiguez, Kai-Håkon Carlsen, Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona] (UPF)-Catalunya ministerio de salud, CIBER de Epidemiología y Salud Pública (CIBERESP), IMIM-Hospital del Mar, Generalitat de Catalunya, Universitat Pompeu Fabra [Barcelona] (UPF), Karolinska Institutet [Stockholm], University of Helsinki, King‘s College London, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Stockholm County Council, Aging Research Center [Karolinska Institutet] (ARC ), Stockholm University-Karolinska Institutet [Stockholm], Keck School of Medicine [Los Angeles], University of Southern California (USC), Azienda Sanitaria Locale [ROMA] (ASL), McGill University and Genome Quebec Innovation Centre, Département des Sciences Fondamentales [Chicoutimi] (DSF), Université du Québec à Chicoutimi (UQAC), European Institute for Systems Biology and Medicine (EISBM), Arizona Respiratory Center, Radboud University Medical Center [Nijmegen], Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Department of Dermatology, Allergology and Venereology, Clinicum, Medicum, Department of Bacteriology and Immunology, HUS Inflammation Center, One Health Chemisch, dIRAS RA-2, Pediatrics, RS: NUTRIM - R3 - Respiratory & Age-related Health, Complexe Genetica, RS: NUTRIM - R4 - Gene-environment interaction, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Xu, Cheng-Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Matie, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A., Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J., Aguirre-Gamboa, Raul, de Jongste, Johan C., Smit, Henriette A., Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R.C., Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charle, van der Vlies, Pieter, van Diemen, Cleo C., Li, Yang, Wijmenga, Cisca, Netea, Mihai G., Moffatt, Miriam F., Cookson, William O.C.M., Anto, Josep M., Bousquet, Jean, Laatikainen, Tiina, Laprise, Catherine, Carlsen, Kai-Håkon, Gori, Davide, Porta, Daniela, Iñiguez, Carmen, Bilbao, Jose Ramon, Kogevinas, Manoli, Wright, John, Brunekreef, Bert, Kere, Juha, Nawijn, Martijn C., Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, and Koppelman, Gerard H.
Subjects: Male, 0301 basic medicine, Allergy, Cytotoxic, T-Lymphocytes, [SDV]Life Sciences [q-bio], Respiratory System, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], CHILDREN, Immunoglobulin E, Epigenesis, Genetic, Child, POPULATION, education.field_of_study, biology, Methylation, 3. Good health, CpG site, Child, Preschool, DNA methylation, Female, BIOS Consortium, Life Sciences & Biomedicine, Pulmonary and Respiratory Medicine, Population, PHENOTYPES, IMMUNITY, 03 medical and health sciences, Critical Care Medicine, Genetic, General & Internal Medicine, medicine, Humans, COHORT, Epigenetics, IGE, EXPOSURE, Preschool, education, Asthma, Science & Technology, business.industry, RHINITIS, DNA, DNA Methylation, medicine.disease, Eosinophils, 030104 developmental biology, 3121 General medicine, internal medicine and other clinical medicine, Immunology, biology.protein, GENOMEWIDE ASSOCIATION, CpG Islands, business, COLLECTION, T-Lymphocytes, Cytotoxic, Epigenesis, Genome-Wide Association Study
Abstract: Background: DNA methylation profiles associated with childhood asthma might provide novel insights into disease pathogenesis. We did an epigenome-wide association study to assess methylation profiles associated with childhood asthma. Methods: We did a large-scale epigenome-wide association study (EWAS) within the Mechanisms of the Development of ALLergy (MeDALL) project. We examined epigenome-wide methylation using Illumina Infinium Human Methylation450 BeadChips (450K) in whole blood in 207 children with asthma and 610 controls at age 4–5 years, and 185 children with asthma and 546 controls at age 8 years using a cross-sectional case-control design. After identification of differentially methylated CpG sites in the discovery analysis, we did a validation study in children (4–16 years; 247 cases and 2949 controls) from six additional European cohorts and meta-analysed the results. We next investigated whether replicated CpG sites in cord blood predict later asthma in 1316 children. We subsequently investigated cell-type-specific methylation of the identified CpG sites in eosinophils and respiratory epithelial cells and their related gene-expression signatures. We studied cell-type specificity of the asthma association of the replicated CpG sites in 455 respiratory epithelial cell samples, collected by nasal brushing of 16-year-old children as well as in DNA isolated from blood eosinophils (16 with asthma, eight controls [age 2–56 years]) and compared this with whole-blood DNA samples of 74 individuals with asthma and 93 controls (age 1–79 years). Whole-blood transcriptional profiles associated with replicated CpG sites were annotated using RNA-seq data of subsets of peripheral blood mononuclear cells sorted by fluorescence-activated cell sorting. Findings: 27 methylated CpG sites were identified in the discovery analysis. 14 of these CpG sites were replicated and passed genome-wide significance (p
Published: 2018
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