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Yu EX, Dou JF, Volk HE, Bakulski KM, Benke K, Hertz-Picciotto I, Schmidt RJ, Newschaffer CJ, Feinberg JI, Daniels J, Fallin MD, Ladd-Acosta C, Hamra GB. Prenatal Metal Exposures and Child Social Responsiveness Scale Scores in 2 Prospective Studies. Environ Health Insights 2024; 18:11786302231225313. [PMID: 38317694 PMCID: PMC10840406 DOI: 10.1177/11786302231225313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/20/2023] [Indexed: 02/07/2024]
Abstract
Background Prenatal exposure to metals is hypothesized to be associated with child autism. We aim to investigate the joint and individual effects of prenatal exposure to urine metals including lead (Pb), mercury (Hg), manganese (Mn), and selenium (Se) on child Social Responsiveness Scale (SRS) scores. Methods We used data from 2 cohorts enriched for likelihood of autism spectrum disorder (ASD): Early Autism Risk Longitudinal Investigation (EARLI) and the Markers of Autism Risk in Babies-Learning Early Signs (MARBLES) studies. Metal concentrations were measured in urine collected during pregnancy. We used Bayesian Kernel Machine Regression and linear regression models to investigate both joint and independent associations of metals with SRS Z-scores in each cohort. We adjusted for maternal age at delivery, interpregnancy interval, maternal education, child race/ethnicity, child sex, and/or study site. Results The final analytic sample consisted of 251 mother-child pairs. When Pb, Hg, Se, and Mn were at their 75th percentiles, there was a 0.03 increase (95% credible interval [CI]: -0.11, 0.17) in EARLI and 0.07 decrease (95% CI: -0.29, 0.15) in MARBLES in childhood SRS Z-scores, compared to when all 4 metals were at their 50th percentiles. In both cohorts, increasing concentrations of Pb were associated with increasing values of SRS Z-scores, fixing the other metals to their 50th percentiles. However, all the 95% credible intervals contained the null. Conclusions There were no clear monotonic associations between the overall prenatal metal mixture in pregnancy and childhood SRS Z-scores at 36 months. There were also no clear associations between individual metals within this mixture and childhood SRS Z-scores at 36 months. The overall effects of the metal mixture and the individual effects of each metal within this mixture on offspring SRS Z-scores might be heterogeneous across child sex and cohort. Further studies with larger sample sizes are warranted.
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Affiliation(s)
- Emma X Yu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John F Dou
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Heather E Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kelly M Bakulski
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
| | - Jason Daniels
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
| | | | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ghassan B Hamra
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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2
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Choudhary P, Monasso GS, Karhunen V, Ronkainen J, Mancano G, Howe CG, Niu Z, Zeng X, Guan W, Dou J, Feinberg JI, Mordaunt C, Pesce G, Baïz N, Alfano R, Martens DS, Wang C, Isaevska E, Keikkala E, Mustaniemi S, Thio CHL, Fraszczyk E, Tobi EW, Starling AP, Cosin-Tomas M, Urquiza J, Röder S, Hoang TT, Page C, Jima DD, House JS, Maguire RL, Ott R, Pawlow X, Sirignano L, Zillich L, Malmberg A, Rauschert S, Melton P, Gong T, Karlsson R, Fore R, Perng W, Laubach ZM, Czamara D, Sharp G, Breton CV, Schisterman E, Yeung E, Mumford SL, Fallin MD, LaSalle JM, Schmidt RJ, Bakulski KM, Annesi-Maesano I, Heude B, Nawrot TS, Plusquin M, Ghantous A, Herceg Z, Nisticò L, Vafeiadi M, Kogevinas M, Vääräsmäki M, Kajantie E, Snieder H, Corpeleijn E, Steegers-Theunissen RPM, Yang IV, Dabelea D, Fossati S, Zenclussen AC, Herberth G, Magnus M, Håberg SE, London SJ, Munthe-Kaas MC, Murphy SK, Hoyo C, Ziegler AG, Hummel S, Witt SH, Streit F, Frank J, Räikkönen K, Lahti J, Huang RC, Almqvist C, Hivert MF, Jaddoe VWV, Järvelin MR, Kantomaa M, Felix JF, Sebert S. Maternal educational attainment in pregnancy and epigenome-wide DNA methylation changes in the offspring from birth until adolescence. Mol Psychiatry 2023:10.1038/s41380-023-02331-5. [PMID: 38052982 DOI: 10.1038/s41380-023-02331-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 11/07/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Abstract
Maternal educational attainment (MEA) shapes offspring health through multiple potential pathways. Differential DNA methylation may provide a mechanistic understanding of these long-term associations. We aimed to quantify the associations of MEA with offspring DNA methylation levels at birth, in childhood and in adolescence. Using 37 studies from high-income countries, we performed meta-analysis of epigenome-wide association studies (EWAS) to quantify the associations of completed years of MEA at the time of pregnancy with offspring DNA methylation levels at birth (n = 9 881), in childhood (n = 2 017), and adolescence (n = 2 740), adjusting for relevant covariates. MEA was found to be associated with DNA methylation at 473 cytosine-phosphate-guanine sites at birth, one in childhood, and four in adolescence. We observed enrichment for findings from previous EWAS on maternal folate, vitamin-B12 concentrations, maternal smoking, and pre-pregnancy BMI. The associations were directionally consistent with MEA being inversely associated with behaviours including smoking and BMI. Our findings form a bridge between socio-economic factors and biology and highlight potential pathways underlying effects of maternal education. The results broaden our understanding of bio-social associations linked to differential DNA methylation in multiple early stages of life. The data generated also offers an important resource to help a more precise understanding of the social determinants of health.
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Affiliation(s)
- Priyanka Choudhary
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland.
| | - Giulietta S Monasso
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ville Karhunen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
- Research Unit of Mathematical Sciences, Faculty of Science, University of Oulu, Oulu, Finland
| | - Justiina Ronkainen
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
| | - Giulia Mancano
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA
| | - John Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jason I Feinberg
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
| | - Charles Mordaunt
- Department of Medical Micriobiology and Immunology, University of California Davis, Davis, CA, USA
| | - Giancarlo Pesce
- Epidemiology of Allergic and Respiratory Diseases (EPAR) team, Faculté de Médecine Saint-Antoine, Institute Pierre Louis d'Epidemiologie et Sante Publique (IPLESP), Sorbonne Université and INSERM, Paris, France
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health (CESP), INSERM, Villejuif, France
| | - Nour Baïz
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Dries S Martens
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Congrong Wang
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Elena Isaevska
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Torino, Italy
| | - Elina Keikkala
- Department of Obstetrics and Gynaecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
| | - Sanna Mustaniemi
- Department of Obstetrics and Gynaecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
| | - Chris H L Thio
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Eliza Fraszczyk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Elmar W Tobi
- Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus MC, University Medical Center, 3000 CA, Rotterdam, the Netherlands
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Marta Cosin-Tomas
- ISGlobal (Barcelona Institute for Global Health), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jose Urquiza
- ISGlobal (Barcelona Institute for Global Health), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Stefan Röder
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany
| | - Thanh T Hoang
- Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Christian Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Oslo Centre for Biostatistics and Epidemiology, Section for Research Support, Oslo University Hospital, Oslo, Norway
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27606, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, 27606, USA
| | - John S House
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27606, USA
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC, 27709, USA
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, 27701, USA
| | - Raffael Ott
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
| | - Xenia Pawlow
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anni Malmberg
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - Phillip Melton
- Menzies Institute of Medical Research, University of Tasmania, Hobart, TAS, Australia
- University of Western Australia, School of Population and Global Health, Perth, WA, Australia
| | - Tong Gong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ruby Fore
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Wei Perng
- Department of Epidemiology and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Zachary M Laubach
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Darina Czamara
- Department Genes and Environment, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany
| | - Gemma Sharp
- Medical Research Council Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
- School of Psychology, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Carrie V Breton
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Enrique Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edwina Yeung
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, 20817, USA
| | - Sunni L Mumford
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, 20817, USA
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
| | - Janine M LaSalle
- Department of Medical Micriobiology and Immunology, University of California Davis, Davis, CA, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis (UC Davis), Davis, CA, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Isabella Annesi-Maesano
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Barbara Heude
- Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS), F-75004, Paris, France
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Akram Ghantous
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Lorenza Nisticò
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Viale Regina Elena, Rome, Italy
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Manolis Kogevinas
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Centro de Investigación Biomédicaen Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marja Vääräsmäki
- Department of Obstetrics and Gynaecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
| | - Eero Kajantie
- Finnish Institute for Health and Welfare, Population Health Unit, Public Health and Welfare, Helsinki and Oulu, Finland
- Clinical Medicine Research Unit, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Harold Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Eva Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Regine P M Steegers-Theunissen
- Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus MC, University Medical Center, 3000 CA, Rotterdam, the Netherlands
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Serena Fossati
- ISGlobal (Barcelona Institute for Global Health), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ana C Zenclussen
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany
| | - Gunda Herberth
- Department for Environmental Immunology, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany
| | - Maria Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie J London
- Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Monica Cheng Munthe-Kaas
- Department of Pediatrics, Oncology and Hematology, Oslo University Hospital, Oslo, Norway
- Norwegian Institute of Public Health, Oslo, Norway
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, 27701, USA
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27606, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Sandra Hummel
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes eV, Neuherberg, Germany
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Center for Innovative Psychiatric and Psychotherapeutic Research, Biobank, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Rae-Chi Huang
- Telethon Kids Institute, Perth, WA, Australia
- Edith Cowan University, School of Medicine and Health Sciences, Joondalup, WA, Australia
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marjo-Riitta Järvelin
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Marko Kantomaa
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sylvain Sebert
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
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Dou JF, Schmidt RJ, Volk HE, Nitta MM, Feinberg JI, Newschaffer CJ, Croen LA, Hertz-Picciotto I, Fallin MD, Bakulski KM. Exposure to heavy metals in utero and autism spectrum disorder at age 3: A meta-analysis of two longitudinal cohorts of siblings of children with autism. medRxiv 2023:2023.11.21.23298827. [PMID: 38045240 PMCID: PMC10690342 DOI: 10.1101/2023.11.21.23298827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Background Autism spectrum disorder (ASD) is a prevalent and heterogeneous neurodevelopmental disorder. Risk is attributed to genetic and prenatal environmental factors, though the environmental agents are incompletely characterized. Methods In Early Autism Risk Longitudinal Investigation (EARLI) and Markers of Autism Risk in Babies Learning Early Signs (MARBLES), two pregnancy cohorts of siblings of children with ASD, maternal urinary metals concentrations at two time points during pregnancy were measured using inductively coupled plasma mass spectrometry. At age three, clinicians assessed ASD with DSM-5 criteria. Using multivariable log binomial regression, we examined each metal for association with ASD status, adjusting for gestational age at urine sampling, child sex, maternal age, and maternal education, and meta-analyzed across the two cohorts. Results In EARLI (n=170) 17.6% of children were diagnosed with ASD, and an additional 43.5% were classified as having other non-neurotypical development (Non-TD). In MARBLES (n=156), 22.7% were diagnosed with ASD, while an additional 11.5% had Non-TD. In earlier pregnancy metals measures, having cadmium concentration over the level of detection was associated with 1.78 (1.19, 2.67) times higher risk of ASD, and 1.43 (1.06, 1.92) times higher risk of Non-TD. A doubling of early pregnancy cesium concentration was marginally associated with 1.81 (0.95, 3.42) times higher risk of ASD, and 1.58 (0.95, 2.63) times higher risk of Non-TD. Conclusion Exposure in utero to elevated levels of cadmium and cesium, as measured in maternal urine collected during pregnancy, was associated with increased risk of developing ASD.
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Affiliation(s)
- John F. Dou
- University of Michigan, Ann Arbor, Michigan, USA
| | | | | | | | | | | | - Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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4
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Bulka CM, Everson TM, Burt AA, Marsit CJ, Karagas MR, Boyle KE, Niemiec S, Kechris K, Davidson EJ, Yang IV, Feinberg JI, Volk HE, Ladd-Acosta C, Breton CV, O’Shea TM, Fry RC. Sex-based differences in placental DNA methylation profiles related to gestational age: an NIH ECHO meta-analysis. Epigenetics 2023; 18:2179726. [PMID: 36840948 PMCID: PMC9980626 DOI: 10.1080/15592294.2023.2179726] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/08/2022] [Accepted: 12/21/2022] [Indexed: 02/26/2023] Open
Abstract
The placenta undergoes many changes throughout gestation to support the evolving needs of the foetus. There is also a growing appreciation that male and female foetuses develop differently in utero, with unique epigenetic changes in placental tissue. Here, we report meta-analysed sex-specific associations between gestational age and placental DNA methylation from four cohorts in the National Institutes of Health (NIH) Environmental influences on Child Health Outcomes (ECHO) Programme (355 females/419 males, gestational ages 23-42 weeks). We identified 407 cytosine-guanine dinucleotides (CpGs) in females and 794 in males where placental methylation levels were associated with gestational age. After cell-type adjustment, 55 CpGs in females and 826 in males were significant. These were enriched for biological processes critical to the immune system in females and transmembrane transport in males. Our findings are distinct between the sexes: in females, associations with gestational age are largely explained by differences in placental cellular composition, whereas in males, gestational age is directly associated with numerous alterations in methylation levels.
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Affiliation(s)
- Catherine M. Bulka
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Amber A. Burt
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Carmen J. Marsit
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Kristen E. Boyle
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Sierra Niemiec
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Katerina Kechris
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Biostatistics & Informatics, Colorado School of Public Health, Aurora, CO, USA
| | | | - Ivana V. Yang
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Jason I. Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - T. Michael O’Shea
- Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Environmental Health Solutions, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Curriculum in Toxicology and Environmental Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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5
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Kadalayil L, Alam MZ, White CH, Ghantous A, Walton E, Gruzieva O, Merid SK, Kumar A, Roy RP, Solomon O, Huen K, Eskenazi B, Rzehak P, Grote V, Langhendries JP, Verduci E, Ferre N, Gruszfeld D, Gao L, Guan W, Zeng X, Schisterman EF, Dou JF, Bakulski KM, Feinberg JI, Soomro MH, Pesce G, Baiz N, Isaevska E, Plusquin M, Vafeiadi M, Roumeliotaki T, Langie SAS, Standaert A, Allard C, Perron P, Bouchard L, van Meel ER, Felix JF, Jaddoe VWV, Yousefi PD, Ramlau-Hansen CH, Relton CL, Tobi EW, Starling AP, Yang IV, Llambrich M, Santorelli G, Lepeule J, Salas LA, Bustamante M, Ewart SL, Zhang H, Karmaus W, Röder S, Zenclussen AC, Jin J, Nystad W, Page CM, Magnus M, Jima DD, Hoyo C, Maguire RL, Kvist T, Czamara D, Räikkönen K, Gong T, Ullemar V, Rifas-Shiman SL, Oken E, Almqvist C, Karlsson R, Lahti J, Murphy SK, Håberg SE, London S, Herberth G, Arshad H, Sunyer J, Grazuleviciene R, Dabelea D, Steegers-Theunissen RPM, Nohr EA, Sørensen TIA, Duijts L, Hivert MF, Nelen V, Popovic M, Kogevinas M, Nawrot TS, Herceg Z, Annesi-Maesano I, Fallin MD, Yeung E, Breton CV, Koletzko B, Holland N, Wiemels JL, Melén E, Sharp GC, Silver MJ, Rezwan FI, Holloway JW. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude. Clin Epigenetics 2023; 15:148. [PMID: 37697338 PMCID: PMC10496224 DOI: 10.1186/s13148-023-01542-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/27/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear. METHODS We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points. RESULTS We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values < 0.05) at two CpGs at birth (winter-born) and four in the childhood (summer-born) analyses when compared to children born in autumn. Furthermore, we identified twenty-six differentially methylated regions (DMR) at birth (winter-born: 8, spring-born: 15, summer-born: 3) and thirty-two in childhood (winter-born: 12, spring and summer: 10 each) meta-analyses with few overlapping DMRs between the birth seasons or the two time points. The DMRs were associated with genes of known functions in tumorigenesis, psychiatric/neurological disorders, inflammation, or immunity, amongst others. Latitude-stratified meta-analyses [higher (≥ 50°N), lower (< 50°N, northern hemisphere only)] revealed differences in associations between birth season and DNAm by birth latitude. DMR analysis implicated genes with previously reported links to schizophrenia (LAX1), skin disorders (PSORS1C, LTB4R), and airway inflammation including asthma (LTB4R), present only at birth in the higher latitudes (≥ 50°N). CONCLUSIONS In this large epigenome-wide meta-analysis study, we provide evidence for (i) associations between DNAm and season of birth that are unique for the seasons of the year (temporal effect) and (ii) latitude-dependent variations in the seasonal associations (spatial effect). DNAm could play a role in the molecular mechanisms underlying the effect of birth season on adult health outcomes.
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Affiliation(s)
- Latha Kadalayil
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Md Zahangir Alam
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
- Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
| | - Cory Haley White
- Merck Exploratory Science Center in Cambridge MA, Merck Research Laboratories, Cambridge, MA, 02141, USA
| | - Akram Ghantous
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, UK
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Simon Kebede Merid
- Centre for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Ashish Kumar
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Ritu P Roy
- Helen Diller Family Comprehensive Cancer Center University of California, San Francisco, CA, 94143, USA
- Computational Biology and Informatics Core, University of California, San Francisco, CA, 94143, USA
| | - Olivia Solomon
- Children's Environmental Health Laboratory, University of California, Berkeley, CA, USA
| | - Karen Huen
- Children's Environmental Health Laboratory, University of California, Berkeley, CA, USA
| | - Brenda Eskenazi
- Children's Environmental Health Laboratory, University of California, Berkeley, CA, USA
| | - Peter Rzehak
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | | | - Elvira Verduci
- Department of Pediatrics, Vittore Buzzi Children Hospital, University of Milan, Milan, Italy
| | - Natalia Ferre
- Pediatric Nutrition and Human Development Research Unit, Universitat Rovira i Virgili, IISPV, Reus, Spain
| | - Darek Gruszfeld
- Neonatal Department, Children's Memorial Health Institute, Warsaw, Poland
| | - Lu Gao
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, MMC 303, 420 Delaware St. SE, Minneapolis, MN, 55455, USA
| | | | - Enrique F Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104, USA
| | - John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities Johns Hopkins University, Baltimore, MD, USA
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Munawar Hussain Soomro
- Sorbonne Université and INSERM, Epidemiology of Allergic and Respiratory Diseases Department, Pierre Louis Institute of Epidemiology and Public Health (IPLESP UMRS 1136), Saint-Antoine Medical School, Paris Cedex 12, France
- Department of Community Medicine and Public Health, SMBB Medical University, Larkana, Pakistan
| | - Giancarlo Pesce
- Sorbonne Université and INSERM, Epidemiology of Allergic and Respiratory Diseases Department, Pierre Louis Institute of Epidemiology and Public Health (IPLESP UMRS 1136), Saint-Antoine Medical School, Paris Cedex 12, France
| | - Nour Baiz
- Institut Desbrest de Santé Publique (IDESP), INSERM and Montpellier University, Montpellier, France
| | - Elena Isaevska
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, CPO Piemonte, Italy
| | - Michelle Plusquin
- Center for Environmental Sciences, University of Hasselt, 3590, Diepenbeek, Belgium
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Sabine A S Langie
- Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
- Department of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Limburg, The Netherlands
| | - Arnout Standaert
- Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Catherine Allard
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, Canada
| | - Patrice Perron
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Canada
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Universite de Sherbrooke, Sherbrooke, Canada
- Clinical Department of Laboratory Medicine, Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Chicoutimi, Canada
| | - Evelien R van Meel
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Respiratory Medicine and Allergology, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Paul D Yousefi
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Elmar W Tobi
- Periconceptional Epidemiology, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Anne P Starling
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Maria Llambrich
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Johanna Lepeule
- Institute for Advanced Biosciences, University Grenoble-Alpes, INSERM, CNRS, Grenoble, France
| | - Lucas A Salas
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
- Center for Molecular Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
- Children's Environmental Health and Disease Prevention Research Center at Dartmouth, Lebanon, NH, USA
| | - Mariona Bustamante
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Susan L Ewart
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Stefan Röder
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Ana Claudia Zenclussen
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Jianping Jin
- 2530 Meridian Pkwy, Suite 200, Durham, NC 27713, USA
| | - Wenche Nystad
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Section for Statistics and Data Science, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Maria Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Obstetrics and Gynaecology, Duke University Medical Center, Durham, NC, USA
| | - Tuomas Kvist
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, 80804, Munich, Germany
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Tong Gong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, USA
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Susan K Murphy
- Department of Obstetrics and Gynaecology, Duke University Medical Center, Durham, NC, USA
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie London
- Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, RTP, NC, 27709, USA
| | - Gunda Herberth
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- David Hide Asthma and Allergy Research Centre, Isle of Wight, UK
- NIHR Southampton Biomedical Research Centre, Southampton General Hospital, Southampton, UK
| | - Jordi Sunyer
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Dana Dabelea
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Régine P M Steegers-Theunissen
- Periconceptional Epidemiology, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Ellen A Nohr
- Department of Clinical Research, Odense Universitetshospital, Odense, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Liesbeth Duijts
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Respiratory Medicine and Allergology, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Neonatology, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Vera Nelen
- Provincial Institute for Hygiene, Antwerp, Belgium
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, CPO Piemonte, Italy
| | | | - Tim S Nawrot
- Center for Environmental Sciences, University of Hasselt, 3590, Diepenbeek, Belgium
- Department of Public Health and Primary Care, Leuven University, Louvain, Belgium
| | - Zdenko Herceg
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Isabella Annesi-Maesano
- Institut Desbrest de Santé Publique (IDESP), INSERM and Montpellier University, Montpellier, France
| | - M Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities Johns Hopkins University, Baltimore, MD, USA
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Edwina Yeung
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, MSC 7004, Bethesda, MD, USA
| | - Carrie V Breton
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Nina Holland
- Children's Environmental Health Laboratory, CERCH, Berkeley Public Health, University of California, 2121 Berkeley Way #5216, Berkeley, CA, 94720, USA
| | - Joseph L Wiemels
- Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, 90033, USA
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90033, USA
| | - Erik Melén
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Gemma C Sharp
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Psychology, University of Exeter, Exeter, UK
| | - Matt J Silver
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
| | - Faisal I Rezwan
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
- Department of Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, Southampton General Hospital, Southampton, UK.
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Feinberg JI, Schrott R, Ladd-Acosta C, Newschaffer CJ, Hertz-Picciotto I, Croen LA, Daniele Fallin M, Feinberg AP, Volk HE. Epigenetic changes in sperm are associated with paternal and child quantitative autistic traits in an autism-enriched cohort. Mol Psychiatry 2023:10.1038/s41380-023-02046-7. [PMID: 37100868 DOI: 10.1038/s41380-023-02046-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 04/28/2023]
Abstract
There is a need to consider paternal contributions to autism spectrum disorder (ASD) more strongly. Autism etiology is complex, and heritability is not explained by genetics alone. Understanding paternal gametic epigenetic contributions to autism could help fill this knowledge gap. In the present study, we explored whether paternal autistic traits, and the sperm epigenome, were associated with autistic traits in children at 36 months enrolled in the Early Autism Risk Longitudinal Investigation (EARLI) cohort. EARLI is a pregnancy cohort that recruited and enrolled pregnant women in the first half of pregnancy who already had a child with ASD. After maternal enrollment, EARLI fathers were approached and asked to provide a semen specimen. Participants were included in the present study if they had genotyping, sperm methylation data, and Social Responsiveness Scale (SRS) score data available. Using the CHARM array, we performed genome-scale methylation analyses on DNA from semen samples contributed by EARLI fathers. The SRS-a 65-item questionnaire measuring social communication deficits on a quantitative scale-was used to evaluate autistic traits in EARLI fathers (n = 45) and children (n = 31). We identified 94 significant child SRS-associated differentially methylated regions (DMRs), and 14 significant paternal SRS-associated DMRs (fwer p < 0.05). Many child SRS-associated DMRs were annotated to genes implicated in ASD and neurodevelopment. Six DMRs overlapped across the two outcomes (fwer p < 0.1), and, 16 DMRs overlapped with previous child autistic trait findings at 12 months of age (fwer p < 0.05). Child SRS-associated DMRs contained CpG sites independently found to be differentially methylated in postmortem brains of individuals with and without autism. These findings suggest paternal germline methylation is associated with autistic traits in 3-year-old offspring. These prospective results for autism-associated traits, in a cohort with a family history of ASD, highlight the potential importance of sperm epigenetic mechanisms in autism.
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Affiliation(s)
- Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rose Schrott
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, State College, PA, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California, Davis, CA, USA
| | - Lisa A Croen
- Autism Research Program, Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - M Daniele Fallin
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Andrew P Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Center for Epigenetics, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Heather E Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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7
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Song AY, Bakulski K, Feinberg JI, Newschaffer C, Croen LA, Hertz-Picciotto I, Schmidt RJ, Farzadegan H, Lyall K, Fallin MD, Volk HE, Ladd-Acosta C. Associations between accelerated parental biologic age, autism spectrum disorder, social traits, and developmental and cognitive outcomes in their children. Autism Res 2022; 15:2359-2370. [PMID: 36189953 PMCID: PMC9722613 DOI: 10.1002/aur.2822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 09/19/2022] [Indexed: 01/11/2023]
Abstract
Parental age is a known risk factor for autism spectrum disorder (ASD), however, studies to identify the biologic changes underpinning this association are limited. In recent years, "epigenetic clock" algorithms have been developed to estimate biologic age and to evaluate how the epigenetic aging impacts health and disease. In this study, we examined the relationship between parental epigenetic aging and their child's prospective risk of ASD and autism related quantitative traits in the Early Autism Risk Longitudinal Investigation study. Estimates of epigenetic age were computed using three robust clock algorithms and DNA methylation measures from the Infinium HumanMethylation450k platform for maternal blood and paternal blood specimens collected during pregnancy. Epigenetic age acceleration was defined as the residual of regressing chronological age on epigenetic age while accounting for cell type proportions. Multinomial logistic regression and linear regression models were completed adjusting for potential confounders for both maternal epigenetic age acceleration (n = 163) and paternal epigenetic age acceleration (n = 80). We found accelerated epigenetic aging in mothers estimated by Hannum's clock was significantly associated with lower cognitive ability and function in offspring at 12 months, as measured by Mullen Scales of Early Learning scores (β = -1.66, 95% CI: -3.28, -0.04 for a one-unit increase). We also observed a marginal association between accelerated maternal epigenetic aging by Horvath's clock and increased odds of ASD in offspring at 36 months of age (aOR = 1.12, 95% CI: 0.99, 1.26). By contrast, fathers accelerated aging was marginally associated with decreased ASD risk in their offspring (aOR = 0.83, 95% CI: 0.68, 1.01). Our findings suggest epigenetic aging could play a role in parental age risks on child brain development.
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Affiliation(s)
- Ashley Y. Song
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kelly Bakulski
- Department of Epidemiology, University of Michigan, Ann
Arbor, MI
| | - Jason I. Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Craig Newschaffer
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- College of Health and Human Development, Pennsylvania State
University, State College, PA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, CA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and The MIND
Institute, School of Medicine, University of California-Davis, Davis, CA
| | - Rebecca J. Schmidt
- Department of Public Health Sciences and The MIND
Institute, School of Medicine, University of California-Davis, Davis, CA
| | - Homayoon Farzadegan
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University,
Philadelphia, PA
| | - M. Daniele Fallin
- Rollins School of Public Health, Emory University, Atlanta,
Georgia, USA
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Christine Ladd-Acosta
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
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8
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Dou JF, Middleton LYM, Zhu Y, Benke KS, Feinberg JI, Croen LA, Hertz-Picciotto I, Newschaffer CJ, LaSalle JM, Fallin D, Schmidt RJ, Bakulski KM. Prenatal vitamin intake in first month of pregnancy and DNA methylation in cord blood and placenta in two prospective cohorts. Epigenetics Chromatin 2022; 15:28. [PMID: 35918756 PMCID: PMC9344645 DOI: 10.1186/s13072-022-00460-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 06/21/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Prenatal vitamin use is recommended before and during pregnancies for normal fetal development. Prenatal vitamins do not have a standard formulation, but many contain calcium, folic acid, iodine, iron, omega-3 fatty acids, zinc, and vitamins A, B6, B12, and D, and usually they contain higher concentrations of folic acid and iron than regular multivitamins in the US Nutrient levels can impact epigenetic factors such as DNA methylation, but relationships between maternal prenatal vitamin use and DNA methylation have been relatively understudied. We examined use of prenatal vitamins in the first month of pregnancy in relation to cord blood and placenta DNA methylation in two prospective pregnancy cohorts: the Early Autism Risk Longitudinal Investigation (EARLI) and Markers of Autism Risk Learning Early Signs (MARBLES) studies. RESULTS In placenta, prenatal vitamin intake was marginally associated with -0.52% (95% CI -1.04, 0.01) lower mean array-wide DNA methylation in EARLI, and associated with -0.60% (-1.08, -0.13) lower mean array-wide DNA methylation in MARBLES. There was little consistency in the associations between prenatal vitamin intake and single DNA methylation site effect estimates across cohorts and tissues, with only a few overlapping sites with correlated effect estimates. However, the single DNA methylation sites with p-value < 0.01 (EARLI cord nCpGs = 4068, EARLI placenta nCpGs = 3647, MARBLES cord nCpGs = 4068, MARBLES placenta nCpGs = 9563) were consistently enriched in neuronal developmental pathways. CONCLUSIONS Together, our findings suggest that prenatal vitamin intake in the first month of pregnancy may be related to lower placental global DNA methylation and related to DNA methylation in brain-related pathways in both placenta and cord blood.
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Affiliation(s)
- John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, USA
| | - Lauren Y M Middleton
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, USA
| | - Yihui Zhu
- Department of Public Health Sciences and the M.I.N.D. Institute, School of Medicine, University of California, Davis, CA, USA
| | - Kelly S Benke
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jason I Feinberg
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Lisa A Croen
- Kaiser Permanente Northern California, Oakland, CA, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and the M.I.N.D. Institute, School of Medicine, University of California, Davis, CA, USA
| | - Craig J Newschaffer
- College of Health and Human Development, Penn State University, State College, PA, USA
| | - Janine M LaSalle
- Department of Medical Microbiology and Immunology and the M.I.N.D. Institute, School of Medicine, University of California, Davis, CA, USA
| | - Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences and the M.I.N.D. Institute, School of Medicine, University of California, Davis, CA, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, USA.
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9
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Song AY, Feinberg JI, Bakulski KM, Croen LA, Fallin MD, Newschaffer CJ, Hertz-Picciotto I, Schmidt RJ, Ladd-Acosta C, Volk HE. Prenatal Exposure to Ambient Air Pollution and Epigenetic Aging at Birth in Newborns. Front Genet 2022; 13:929416. [PMID: 35836579 PMCID: PMC9274082 DOI: 10.3389/fgene.2022.929416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/23/2022] [Indexed: 11/24/2022] Open
Abstract
In utero air pollution exposure has been associated with adverse birth outcomes, yet effects of air pollutants on regulatory mechanisms in fetal growth and critical windows of vulnerability during pregnancy are not well understood. There is evidence that epigenetic alterations may contribute to these effects. DNA methylation (DNAm) based age estimators have been developed and studied extensively with health outcomes in recent years. Growing literature suggests environmental factors, such as air pollution and smoking, can influence epigenetic aging. However, little is known about the effect of prenatal air pollution exposure on epigenetic aging. In this study, we leveraged existing data on prenatal air pollution exposure and cord blood DNAm from 332 mother-child pairs in the Early Autism Risk Longitudinal Investigation (EARLI) and Markers of Autism Risk in Babies-Learning Early Signs (MARBLES), two pregnancy cohorts enrolling women who had a previous child diagnosed with autism spectrum disorder, to assess the relationship of prenatal exposure to air pollution and epigenetic aging at birth. DNAm age was computed using existing epigenetic clock algorithms for cord blood tissue-Knight and Bohlin. Epigenetic age acceleration was defined as the residual of regressing chronological gestational age on DNAm age, accounting for cell type proportions. Multivariable linear regression models and distributed lag models (DLMs), adjusting for child sex, maternal race/ethnicity, study sites, year of birth, maternal education, were completed. In the single-pollutant analysis, we observed exposure to PM2.5, PM10, and O3 during preconception period and pregnancy period were associated with decelerated epigenetic aging at birth. For example, pregnancy average PM10 exposure (per 10 unit increase) was associated with epigenetic age deceleration at birth (weeks) for both Knight and Bohlin clocks (β = -0.62, 95% CI: -1.17, -0.06; β = -0.32, 95% CI: -0.63, -0.01, respectively). Weekly DLMs revealed that increasing PM2.5 during the first trimester and second trimester were associated with decelerated epigenetic aging and that increasing PM10 during the preconception period was associated with decelerated epigenetic aging, using the Bohlin clock estimate. Prenatal ambient air pollution exposure, particularly in early and mid-pregnancy, was associated with decelerated epigenetic aging at birth.
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Affiliation(s)
- Ashley Y. Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Jason I. Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Kelly M. Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, CA, United States
| | - M. Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Craig J. Newschaffer
- College of Health and Human Development, Pennsylvania State University, State College, PA, United States
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, UC Davis, Davis CA and the UC Davis MIND Institute, Sacramento, CA, United States
| | - Rebecca J. Schmidt
- Department of Public Health Sciences, UC Davis, Davis CA and the UC Davis MIND Institute, Sacramento, CA, United States
| | - Christine Ladd-Acosta
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
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10
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Zhu Y, Gomez JA, Laufer BI, Mordaunt CE, Mouat JS, Soto DC, Dennis MY, Benke KS, Bakulski KM, Dou J, Marathe R, Jianu JM, Williams LA, Gutierrez Fugón OJ, Walker CK, Ozonoff S, Daniels J, Grosvenor LP, Volk HE, Feinberg JI, Fallin MD, Hertz-Picciotto I, Schmidt RJ, Yasui DH, LaSalle JM. Placental methylome reveals a 22q13.33 brain regulatory gene locus associated with autism. Genome Biol 2022; 23:46. [PMID: 35168652 PMCID: PMC8848662 DOI: 10.1186/s13059-022-02613-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 01/16/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) involves complex genetics interacting with the perinatal environment, complicating the discovery of common genetic risk. The epigenetic layer of DNA methylation shows dynamic developmental changes and molecular memory of in utero experiences, particularly in placenta, a fetal tissue discarded at birth. However, current array-based methods to identify novel ASD risk genes lack coverage of the most structurally and epigenetically variable regions of the human genome. RESULTS We use whole genome bisulfite sequencing in placenta samples from prospective ASD studies to discover a previously uncharacterized ASD risk gene, LOC105373085, renamed NHIP. Out of 134 differentially methylated regions associated with ASD in placental samples, a cluster at 22q13.33 corresponds to a 118-kb hypomethylated block that replicates in two additional cohorts. Within this locus, NHIP is functionally characterized as a nuclear peptide-encoding transcript with high expression in brain, and increased expression following neuronal differentiation or hypoxia, but decreased expression in ASD placenta and brain. NHIP overexpression increases cellular proliferation and alters expression of genes regulating synapses and neurogenesis, overlapping significantly with known ASD risk genes and NHIP-associated genes in ASD brain. A common structural variant disrupting the proximity of NHIP to a fetal brain enhancer is associated with NHIP expression and methylation levels and ASD risk, demonstrating a common genetic influence. CONCLUSIONS Together, these results identify and initially characterize a novel environmentally responsive ASD risk gene relevant to brain development in a hitherto under-characterized region of the human genome.
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Affiliation(s)
- Yihui Zhu
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - J Antonio Gomez
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Benjamin I Laufer
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Charles E Mordaunt
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Julia S Mouat
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Daniela C Soto
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA, USA
| | - Megan Y Dennis
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA, USA
| | - Kelly S Benke
- Department of Public Health Sciences, University of California, Davis, CA, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - John Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Ria Marathe
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Julia M Jianu
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Logan A Williams
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Orangel J Gutierrez Fugón
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Cheryl K Walker
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
- Department of Obstetrics and Gynecology, University of California, Davis, CA, USA
| | - Sally Ozonoff
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
- Department of Psychiatry and Behavioral Sciences, Davis, CA, USA
| | - Jason Daniels
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Luke P Grosvenor
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Heather E Volk
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - M Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Irva Hertz-Picciotto
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
- Department of Public Health Sciences, University of California, Davis, CA, USA
| | - Rebecca J Schmidt
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
- Department of Public Health Sciences, University of California, Davis, CA, USA
| | - Dag H Yasui
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA
- Genome Center, University of California, Davis, CA, USA
- MIND Institute, School of Medicine, University of California, Davis, CA, USA
| | - Janine M LaSalle
- Department of Medical Microbiology and Immunology, University of California, Davis, CA, USA.
- Perinatal Origins of Disparities Center, University of California, Davis, CA, USA.
- Genome Center, University of California, Davis, CA, USA.
- MIND Institute, School of Medicine, University of California, Davis, CA, USA.
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11
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Solomon O, Huen K, Yousefi P, Küpers LK, González JR, Suderman M, Reese SE, Page CM, Gruzieva O, Rzehak P, Gao L, Bakulski KM, Novoloaca A, Allard C, Pappa I, Llambrich M, Vives M, Jima DD, Kvist T, Baccarelli A, White C, Rezwan FI, Sharp GC, Tindula G, Bergström A, Grote V, Dou JF, Isaevska E, Magnus MC, Corpeleijn E, Perron P, Jaddoe VWV, Nohr EA, Maitre L, Foraster M, Hoyo C, Håberg SE, Lahti J, DeMeo DL, Zhang H, Karmaus W, Kull I, Koletzko B, Feinberg JI, Gagliardi L, Bouchard L, Ramlau-Hansen CH, Tiemeier H, Santorelli G, Maguire RL, Czamara D, Litonjua AA, Langhendries JP, Plusquin M, Lepeule J, Binder EB, Verduci E, Dwyer T, Carracedo Á, Ferre N, Eskenazi B, Kogevinas M, Nawrot TS, Munthe-Kaas MC, Herceg Z, Relton C, Melén E, Gruszfeld D, Breton C, Fallin MD, Ghantous A, Nystad W, Heude B, Snieder H, Hivert MF, Felix JF, Sørensen TIA, Bustamante M, Murphy SK, Raikkönen K, Oken E, Holloway JW, Arshad SH, London SJ, Holland N. Meta-analysis of epigenome-wide association studies in newborns and children show widespread sex differences in blood DNA methylation. Mutat Res Rev Mutat Res 2022; 789:108415. [PMID: 35690418 PMCID: PMC9623595 DOI: 10.1016/j.mrrev.2022.108415] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 02/27/2022] [Accepted: 03/08/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Among children, sex-specific differences in disease prevalence, age of onset, and susceptibility have been observed in health conditions including asthma, immune response, metabolic health, some pediatric and adult cancers, and psychiatric disorders. Epigenetic modifications such as DNA methylation may play a role in the sexual differences observed in diseases and other physiological traits. METHODS We performed a meta-analysis of the association of sex and cord blood DNA methylation at over 450,000 CpG sites in 8438 newborns from 17 cohorts participating in the Pregnancy And Childhood Epigenetics (PACE) Consortium. We also examined associations of child sex with DNA methylation in older children ages 5.5-10 years from 8 cohorts (n = 4268). RESULTS In newborn blood, sex was associated at Bonferroni level significance with differences in DNA methylation at 46,979 autosomal CpG sites (p < 1.3 × 10-7) after adjusting for white blood cell proportions and batch. Most of those sites had lower methylation levels in males than in females. Of the differentially methylated CpG sites identified in newborn blood, 68% (31,727) met look-up level significance (p < 1.1 × 10-6) in older children and had methylation differences in the same direction. CONCLUSIONS This is a large-scale meta-analysis examining sex differences in DNA methylation in newborns and older children. Expanding upon previous studies, we replicated previous findings and identified additional autosomal sites with sex-specific differences in DNA methylation. Differentially methylated sites were enriched in genes involved in cancer, psychiatric disorders, and cardiovascular phenotypes.
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Affiliation(s)
- Olivia Solomon
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Karen Huen
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
| | - Paul Yousefi
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Leanne K Küpers
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Juan R González
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Sarah E Reese
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway; Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Peter Rzehak
- Div. Metabolic and Nutritional Medicine, Dept. Pediatrics, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Lu Gao
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Kelly M Bakulski
- School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Catherine Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, QC, Canada
| | - Irene Pappa
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus Medical Center, Sophia Children's Hospital, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Maria Llambrich
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marta Vives
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27606, USA; Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27606, USA
| | - Tuomas Kvist
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Cory White
- Merck Exploratory Science Center, Merck Research Laboratories, Cambridge, MA 02141, USA
| | - Faisal I Rezwan
- Department of Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3DB, United Kingdom; Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Gwen Tindula
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Veit Grote
- Div. Metabolic and Nutritional Medicine, Dept. Pediatrics, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - John F Dou
- School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Elena Isaevska
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Eva Corpeleijn
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Patrice Perron
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, QC, Canada; Department of Medicine, Universite de Sherbrooke, QC, Canada
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Ellen A Nohr
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark; Centre of Women's, Family and Child Health, University of South-Eastern Norway, Kongsberg, Norway
| | - Lea Maitre
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Maria Foraster
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; PHAGEX Research Group, Blanquerna School of Health Science, Universitat Ramon Llull, Barcelona, Spain
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27606, USA; Department of Biological Sciences, North Carolina State University, NC, USA
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Inger Kull
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Berthold Koletzko
- Div. Metabolic and Nutritional Medicine, Dept. Pediatrics, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Jason I Feinberg
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Luigi Gagliardi
- Department of Woman and Child Health, Ospedale Versilia, Azienda USL Toscana Nord Ovest, Viareggio, Italy
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Université de Sherbrooke, QC, Canada; Department of Medical Biology, CIUSSS Saguenay-Lac-Saint-Jean, Chicoutimi Hospital, Saguenay, QC, Canada
| | | | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus Medical Center, Sophia Children's Hospital, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA, USA
| | - Gillian Santorelli
- Bradford Institute of Health Research, Bradford Royal Infirmary, Bradford BD9 6RJ, UK
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, NC, USA; Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27701, USA
| | - Darina Czamara
- Dept. Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Augusto A Litonjua
- Division of Pediatric Pulmonology, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Johanna Lepeule
- Univ. Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000 Grenoble, France
| | - Elisabeth B Binder
- Dept. Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA
| | - Elvira Verduci
- Department of Pediatrics, Ospedale dei Bambini Vittore Buzzi, University of Milan, Milan, Italy; Department of Health Sciences, University of Milan, Milan, Italy
| | - Terence Dwyer
- Clinical Sciences, Heart Group, Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia; Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, Fundación Pública Galega de Merdicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), SERGAS, Santiago de Compostela, Spain; Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB3), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Natalia Ferre
- Pediatric Nutrition and Human Development Research Unit, Universitat Rovira i Virgili, IISPV, Reus, Spain
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, CA, USA
| | - Manolis Kogevinas
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department Public Health & Primary care, Leuven University, Belgium
| | - Monica C Munthe-Kaas
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway; Department of Pediatric Oncology and Hematology, Oslo University Hospital, Norway
| | - Zdenko Herceg
- International Agency for Research on Cancer, Lyon, France
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Erik Melén
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Dariusz Gruszfeld
- Neonatal Department, Children's Memorial Health Institute, Warsaw, Poland
| | - Carrie Breton
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - M D Fallin
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Akram Ghantous
- International Agency for Research on Cancer, Lyon, France
| | - Wenche Nystad
- Department of Chronic Diseases and Ageing, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, F-75004 Paris, France
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Marie-France Hivert
- Department of Medicine, Universite de Sherbrooke, QC, Canada; Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Thorkild I A Sørensen
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK; Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mariona Bustamante
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27701, USA
| | - Katri Raikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Syed Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK; David Hide Asthma and Allergy Research Centre, Isle of Wight, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Nina Holland
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
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12
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Bakulski KM, Dou JF, Feinberg JI, Aung MT, Ladd-Acosta C, Volk HE, Newschaffer CJ, Croen LA, Hertz-Picciotto I, Levy SE, Landa R, Feinberg AP, Fallin MD. Autism-Associated DNA Methylation at Birth From Multiple Tissues Is Enriched for Autism Genes in the Early Autism Risk Longitudinal Investigation. Front Mol Neurosci 2021; 14:775390. [PMID: 34899183 PMCID: PMC8655859 DOI: 10.3389/fnmol.2021.775390] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/28/2021] [Indexed: 12/30/2022] Open
Abstract
Background: Pregnancy measures of DNA methylation, an epigenetic mark, may be associated with autism spectrum disorder (ASD) development in children. Few ASD studies have considered prospective designs with DNA methylation measured in multiple tissues and tested overlap with ASD genetic risk loci. Objectives: To estimate associations between DNA methylation in maternal blood, cord blood, and placenta and later diagnosis of ASD, and to evaluate enrichment of ASD-associated DNA methylation for known ASD-associated genes. Methods: In the Early Autism Risk Longitudinal Investigation (EARLI), an ASD-enriched risk birth cohort, genome-scale maternal blood (early n = 140 and late n = 75 pregnancy), infant cord blood (n = 133), and placenta (maternal n = 106 and fetal n = 107 compartments) DNA methylation was assessed on the Illumina 450k HumanMethylation array and compared to ASD diagnosis at 36 months of age. Differences in site-specific and global methylation were tested with ASD, as well as enrichment of single site associations for ASD risk genes (n = 881) from the Simons Foundation Autism Research Initiative (SFARI) database. Results: No individual DNA methylation site was associated with ASD at genome-wide significance, however, individual DNA methylation sites nominally associated with ASD (P < 0.05) in each tissue were highly enriched for SFARI genes (cord blood P = 7.9 × 10-29, maternal blood early pregnancy P = 6.1 × 10-27, maternal blood late pregnancy P = 2.8 × 10-16, maternal placenta P = 5.6 × 10-15, fetal placenta P = 1.3 × 10-20). DNA methylation sites nominally associated with ASD across all five tissues overlapped at 144 (29.5%) SFARI genes. Conclusion: DNA methylation sites nominally associated with later ASD diagnosis in multiple tissues were enriched for ASD risk genes. Our multi-tissue study demonstrates the utility of examining DNA methylation prior to ASD diagnosis.
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Affiliation(s)
- Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jason I Feinberg
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Max T Aung
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Heather E Volk
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States
| | - Craig J Newschaffer
- College of Health and Human Development, Penn State University, State College, PA, United States
| | - Lisa A Croen
- Kaiser Permanente Division of Research, Oakland, CA, United States
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, United States.,MIND Institute, University of California, Davis, Davis, CA, United States
| | - Susan E Levy
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Rebecca Landa
- Kennedy Krieger Institute Center for Autism and Related Disorders, Baltimore, MD, United States
| | - Andrew P Feinberg
- Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.,Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Margaret D Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States
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13
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Haghani A, Feinberg JI, Lewis KC, Ladd-Acosta C, Johnson RG, Jaffe AE, Sioutas C, Finch CE, Campbell DB, Morgan TE, Volk HE. Cerebral cortex and blood transcriptome changes in mouse neonates prenatally exposed to air pollution particulate matter. J Neurodev Disord 2021; 13:30. [PMID: 34429070 PMCID: PMC8383458 DOI: 10.1186/s11689-021-09380-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 08/10/2021] [Indexed: 12/15/2022] Open
Abstract
Background Prenatal exposure to air pollutants is associated with increased risk for neurodevelopmental and neurodegenerative disorders. However, few studies have identified transcriptional changes related to air pollutant exposure. Methods RNA sequencing was used to examine transcriptomic changes in blood and cerebral cortex of three male and three female mouse neonates prenatally exposed to traffic-related nano-sized particulate matter (nPM) compared to three male and three female mouse neonates prenatally exposed to control filter air. Results We identified 19 nPM-associated differentially expressed genes (nPM-DEGs) in blood and 124 nPM-DEGs in cerebral cortex. The cerebral cortex transcriptional responses to nPM suggested neuroinflammation involvement, including CREB1, BDNF, and IFNγ genes. Both blood and brain tissues showed nPM transcriptional changes related to DNA damage, oxidative stress, and immune responses. Three blood nPM-DEGs showed a canonical correlation of 0.98 with 14 nPM-DEGS in the cerebral cortex, suggesting a convergence of gene expression changes in blood and cerebral cortex. Exploratory sex-stratified analyses suggested a higher number of nPM-DEGs in female cerebral cortex than male cerebral cortex. The sex-stratified analyses identified 2 nPM-DEGs (Rgl2 and Gm37534) shared between blood and cerebral cortex in a sex-dependent manner. Conclusions Our findings suggest that prenatal nPM exposure induces transcriptional changes in the cerebral cortex, some of which are also observed in blood. Further research is needed to replicate nPM-induced transcriptional changes with additional biologically relevant time points for brain development. Supplementary Information The online version contains supplementary material available at 10.1186/s11689-021-09380-3.
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Affiliation(s)
- Amin Haghani
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.,Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Jason I Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kristy C Lewis
- Department of Pediatrics and Human Development, Michigan State University, Grand Rapids, MI, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Richard G Johnson
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Andrew E Jaffe
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Lieber Institute for Brain Development, Baltimore, MD, USA.,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA.,Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Constantinos Sioutas
- Department of Civil and Environmental Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Caleb E Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Daniel B Campbell
- Department of Pediatrics and Human Development, Michigan State University, Grand Rapids, MI, USA
| | - Todd E Morgan
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
| | - Heather E Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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14
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Aung MT, M Bakulski K, Feinberg JI, F Dou J, D Meeker J, Mukherjee B, Loch-Caruso R, Ladd-Acosta C, Volk HE, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Fallin MD. Maternal blood metal concentrations and whole blood DNA methylation during pregnancy in the Early Autism Risk Longitudinal Investigation (EARLI). Epigenetics 2021; 17:253-268. [PMID: 33794742 DOI: 10.1080/15592294.2021.1897059] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The maternal epigenome may be responsive to prenatal metals exposures. We tested whether metals are associated with concurrent differential maternal whole blood DNA methylation. In the Early Autism Risk Longitudinal Investigation cohort, we measured first or second trimester maternal blood metals concentrations (cadmium, lead, mercury, manganese, and selenium) using inductively coupled plasma mass spectrometry. DNA methylation in maternal whole blood was measured on the Illumina 450 K array. A subset sample of 97 women had both measures available for analysis, all of whom did not report smoking during pregnancy. Linear regression was used to test for site-specific associations between individual metals and DNA methylation, adjusting for cell type composition and confounding variables. Discovery gene ontology analysis was conducted on the top 1,000 sites associated with each metal. We observed hypermethylation at 11 DNA methylation sites associated with lead (FDR False Discovery Rate q-value <0.1), near the genes CYP24A1, ASCL2, FAT1, SNX31, NKX6-2, LRC4C, BMP7, HOXC11, PCDH7, ZSCAN18, and VIPR2. Lead-associated sites were enriched (FDR q-value <0.1) for the pathways cell adhesion, nervous system development, and calcium ion binding. Manganese was associated with hypermethylation at four DNA methylation sites (FDR q-value <0.1), one of which was near the gene ARID2. Manganese-associated sites were enriched for cellular metabolism pathways (FDR q-value<0.1). Effect estimates for DNA methylation sites associated (p < 0.05) with cadmium, lead, and manganese were highly correlated (Pearson ρ > 0.86). DNA methylation sites associated with lead and manganese may be potential biomarkers of exposure or implicate downstream gene pathways.
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Affiliation(s)
- Max T Aung
- Department of Biostatistics, University of Michigan, Ann Arbor, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.,Center for Epigenetics, School of Medicine, Johns Hopkins University, Baltimore, USA
| | - John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - John D Meeker
- Department of Environmental Health, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan, Ann Arbor, USA.,Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Rita Loch-Caruso
- Department of Environmental Health, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Heather E Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Lisa A Croen
- Division of Research, Kaiser Permanente, Oakland, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, Penn State University, USA
| | - M Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
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15
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Bakulski KM, Dou JF, Feinberg JI, Brieger KK, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Schmidt RJ, Fallin MD. Prenatal Multivitamin Use and MTHFR Genotype Are Associated with Newborn Cord Blood DNA Methylation. Int J Environ Res Public Health 2020; 17:ijerph17249190. [PMID: 33317014 PMCID: PMC7764679 DOI: 10.3390/ijerph17249190] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 11/20/2020] [Accepted: 11/28/2020] [Indexed: 12/20/2022]
Abstract
Background: Fetal development involves cellular differentiation and epigenetic changes—complex processes that are sensitive to environmental factors. Maternal nutrient levels during pregnancy affect development, and methylene tetrahydrofolate reductase (MTHFR) is important for processing the nutrient folate. Hypothesis: We hypothesize that supplement intake before pregnancy and maternal genotype are associated with DNA methylation in newborns. Methods: In the pregnancy cohort, Early Autism Risk Longitudinal Investigation (EARLI), health history, and genotype information was obtained (n = 249 families). Cord blood DNA methylation (n = 130) was measured using the Illumina HumanMethylation450k array and global DNA methylation levels were computed over 455,698 sites. Supplement use preconception and during pregnancy were surveyed at visits during pregnancy. We evaluated associations between maternal preconception supplement intake and global DNA methylation or DNA methylation density distributions of newborn cord blood, stratified by the presence of a variant maternal MTHFR C677T allele. Results: Maternal preconceptional multivitamin intake was associated with cord blood methylation, dependent on maternal MTHFR genotype (interaction term p = 0.013). For mothers without the MTHFR variant allele, multivitamin intake was associated with 0.96% (95% CI: 0.09, 1.83) higher global cord blood methylation (p = 0.04) and was also associated with the cumulative density distribution of methylation (p = 0.03). For mothers with at least one variant allele, multivitamin intake had a null −0.06% (95% CI: −0.45, 0.33) association with global cord blood DNA methylation, and was not associated with the cumulative density distribution (p = 0.37). Conclusions: We observed that cord blood DNA methylation was associated with maternal supplement exposure preconception and maternal genotype. Genetic context should be considered when assessing DNA methylation effects of modifiable risk factors around the time of pregnancy.
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Affiliation(s)
- Kelly M. Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (K.M.B.); (J.F.D.); (K.K.B.)
| | - John F. Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (K.M.B.); (J.F.D.); (K.K.B.)
| | - Jason I. Feinberg
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA;
| | - Katharine K. Brieger
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA; (K.M.B.); (J.F.D.); (K.K.B.)
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, CA 94612, USA;
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and the M.I.N.D. Institute, School of Medicine, University of California, Davis, CA 95616, USA; (I.H.-P.); (R.J.S.)
| | - Craig J. Newschaffer
- College of Health and Human Development, Penn State University, State College, PA 16802, USA;
| | - Rebecca J. Schmidt
- Department of Public Health Sciences and the M.I.N.D. Institute, School of Medicine, University of California, Davis, CA 95616, USA; (I.H.-P.); (R.J.S.)
| | - M. Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA;
- Correspondence: ; Tel.: +1-(410)-955-3463
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16
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Haghani A, Johnson RG, Dalton H, Feinberg JI, Lewis KC, Ladd‐Acosta C, Woodward NC, Safi N, Jaffe AE, Allayee H, Sioutas C, Campbell DB, Volk HE, Curran SP, Finch CE, Morgan TE. Early developmental exposure to air pollution increases the risk of Alzheimers disease and amyloid production: Studies in mouse and
Caenorhabditis elegans. Alzheimers Dement 2020. [DOI: 10.1002/alz.043846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Amin Haghani
- University of Southern California Los Angeles CA USA
| | | | - Hans Dalton
- University of Southern California Los Angeles CA USA
| | | | | | | | | | - Nikoo Safi
- University of Southern California Los Angeles CA USA
| | - Andrew E. Jaffe
- Johns Hopkins Bloomberg School of Public Health Baltimore MD USA
| | | | | | | | - Heather E. Volk
- Johns Hopkins Bloomberg School of Public Health Baltimore MD USA
| | - Sean P Curran
- University of Southern California Los Angeles CA USA
| | - Caleb E. Finch
- USC Leonard Davis School of Gerontology Los Angeles CA USA
| | - Todd E. Morgan
- USC Leonard Davis School of Gerontology Los Angeles CA USA
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17
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Mordaunt CE, Jianu JM, Laufer BI, Zhu Y, Hwang H, Dunaway KW, Bakulski KM, Feinberg JI, Volk HE, Lyall K, Croen LA, Newschaffer CJ, Ozonoff S, Hertz-Picciotto I, Fallin MD, Schmidt RJ, LaSalle JM. Cord blood DNA methylome in newborns later diagnosed with autism spectrum disorder reflects early dysregulation of neurodevelopmental and X-linked genes. Genome Med 2020; 12:88. [PMID: 33054850 PMCID: PMC7559201 DOI: 10.1186/s13073-020-00785-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 09/25/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) is a neurodevelopmental disorder with complex heritability and higher prevalence in males. The neonatal epigenome has the potential to reflect past interactions between genetic and environmental factors during early development and influence future health outcomes. METHODS We performed whole-genome bisulfite sequencing of 152 umbilical cord blood samples from the MARBLES and EARLI high-familial risk prospective cohorts to identify an epigenomic signature of ASD at birth. Samples were split into discovery and replication sets and stratified by sex, and their DNA methylation profiles were tested for differentially methylated regions (DMRs) between ASD and typically developing control cord blood samples. DMRs were mapped to genes and assessed for enrichment in gene function, tissue expression, chromosome location, and overlap with prior ASD studies. DMR coordinates were tested for enrichment in chromatin states and transcription factor binding motifs. Results were compared between discovery and replication sets and between males and females. RESULTS We identified DMRs stratified by sex that discriminated ASD from control cord blood samples in discovery and replication sets. At a region level, 7 DMRs in males and 31 DMRs in females replicated across two independent groups of subjects, while 537 DMR genes in males and 1762 DMR genes in females replicated by gene association. These DMR genes were significantly enriched for brain and embryonic expression, X chromosome location, and identification in prior epigenetic studies of ASD in post-mortem brain. In males and females, autosomal ASD DMRs were significantly enriched for promoter and bivalent chromatin states across most cell types, while sex differences were observed for X-linked ASD DMRs. Lastly, these DMRs identified in cord blood were significantly enriched for binding sites of methyl-sensitive transcription factors relevant to fetal brain development. CONCLUSIONS At birth, prior to the diagnosis of ASD, a distinct DNA methylation signature was detected in cord blood over regulatory regions and genes relevant to early fetal neurodevelopment. Differential cord methylation in ASD supports the developmental and sex-biased etiology of ASD and provides novel insights for early diagnosis and therapy.
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Affiliation(s)
- Charles E. Mordaunt
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Julia M. Jianu
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Benjamin I. Laufer
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Yihui Zhu
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Hyeyeon Hwang
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Keith W. Dunaway
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Kelly M. Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Jason I. Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Heather E. Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Kristen Lyall
- A. J. Drexel Autism Institute, Drexel University, Philadelphia, PA USA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA USA
| | - Craig J. Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA USA
| | - Sally Ozonoff
- Psychiatry and Behavioral Sciences and MIND Institute, University of California, Davis, CA USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and MIND Institute, University of California, Davis, CA USA
| | - M. Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Rebecca J. Schmidt
- Department of Public Health Sciences and MIND Institute, University of California, Davis, CA USA
| | - Janine M. LaSalle
- Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
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18
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Haghani A, Johnson RG, Woodward NC, Feinberg JI, Lewis K, Ladd-Acosta C, Safi N, Jaffe AE, Sioutas C, Allayee H, Campbell DB, Volk HE, Finch CE, Morgan TE. Adult mouse hippocampal transcriptome changes associated with long-term behavioral and metabolic effects of gestational air pollution toxicity. Transl Psychiatry 2020; 10:218. [PMID: 32636363 PMCID: PMC7341755 DOI: 10.1038/s41398-020-00907-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/11/2020] [Accepted: 06/18/2020] [Indexed: 12/30/2022] Open
Abstract
Gestational exposure to air pollution increases the risk of autism spectrum disorder and cognitive impairments with unresolved molecular mechanisms. This study exposed C57BL/6J mice throughout gestation to urban-derived nanosized particulate matter (nPM). Young adult male and female offspring were studied for behavioral and metabolic changes using forced swim test, fat gain, glucose tolerance, and hippocampal transcriptome. Gestational nPM exposure caused increased depressive behaviors, decreased neurogenesis in the dentate gyrus, and increased glucose tolerance in adult male offspring. Both sexes gained fat and body weight. Gestational nPM exposure induced 29 differentially expressed genes (DEGs) in adult hippocampus related to cytokine production, IL17a signaling, and dopamine degradation in both sexes. Stratification by sex showed twofold more DEGs in males than females (69 vs 37), as well as male-specific enrichment of DEGs mediating serotonin signaling, endocytosis, Gαi, and cAMP signaling. Gene co-expression analysis (WCGNA) identified a module of 43 genes with divergent responses to nPM between the sexes. Chronic changes in 14 DEGs (e.g., microRNA9-1) were associated with depressive behaviors, adiposity and glucose intolerance. These genes enriched neuroimmune pathways such as HMGB1 and TLR4. Based on cerebral cortex transcriptome data of neonates, we traced the initial nPM responses of HMGB1 pathway. In vitro, mixed glia responded to 24 h nPM with lower HMGB1 protein and increased proinflammatory cytokines. This response was ameliorated by TLR4 knockdown. In sum, we identified transcriptional changes that could be associated with air pollution-mediated behavioral and phenotypic changes. These identified genes merit further mechanistic studies for therapeutic intervention development.
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Affiliation(s)
- Amin Haghani
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Richard G. Johnson
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Nicholas C. Woodward
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Jason I. Feinberg
- grid.21107.350000 0001 2171 9311Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Kristy Lewis
- grid.17088.360000 0001 2150 1785Department of Pediatrics and Human Development, Michigan State University College of Human Medicine, Grand Rapids, MI USA
| | - Christine Ladd-Acosta
- grid.21107.350000 0001 2171 9311Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Nikoo Safi
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Andrew E. Jaffe
- grid.429552.dLieber Institute of Brain Development, Johns Hopkins Medical Campus, Baltimore, MD USA
| | - Constantinos Sioutas
- grid.42505.360000 0001 2156 6853Department of Civil and Environmental Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA USA
| | - Hooman Allayee
- grid.42505.360000 0001 2156 6853Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Daniel B. Campbell
- grid.17088.360000 0001 2150 1785Department of Pediatrics and Human Development, Michigan State University College of Human Medicine, Grand Rapids, MI USA
| | - Heather E. Volk
- grid.21107.350000 0001 2171 9311Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Caleb E. Finch
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Todd E. Morgan
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
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19
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Mordaunt CE, Park BY, Bakulski KM, Feinberg JI, Croen LA, Ladd-Acosta C, Newschaffer CJ, Volk HE, Ozonoff S, Hertz-Picciotto I, LaSalle JM, Schmidt RJ, Fallin MD. A meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood. Mol Autism 2019; 10:36. [PMID: 31673306 PMCID: PMC6814108 DOI: 10.1186/s13229-019-0287-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 09/08/2019] [Indexed: 12/17/2022] Open
Abstract
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects more than 1% of children in the USA. ASD risk is thought to arise from both genetic and environmental factors, with the perinatal period as a critical window. Understanding early transcriptional changes in ASD would assist in clarifying disease pathogenesis and identifying biomarkers. However, little is known about umbilical cord blood gene expression profiles in babies later diagnosed with ASD compared to non-typically developing and non-ASD (Non-TD) or typically developing (TD) children. Methods Genome-wide transcript levels were measured by Affymetrix Human Gene 2.0 array in RNA from cord blood samples from both the Markers of Autism Risk in Babies-Learning Early Signs (MARBLES) and the Early Autism Risk Longitudinal Investigation (EARLI) high-risk pregnancy cohorts that enroll younger siblings of a child previously diagnosed with ASD. Younger siblings were diagnosed based on assessments at 36 months, and 59 ASD, 92 Non-TD, and 120 TD subjects were included. Using both differential expression analysis and weighted gene correlation network analysis, gene expression between ASD and TD, and between Non-TD and TD, was compared within each study and via meta-analysis. Results While cord blood gene expression differences comparing either ASD or Non-TD to TD did not reach genome-wide significance, 172 genes were nominally differentially expressed between ASD and TD cord blood (log2(fold change) > 0.1, p < 0.01). These genes were significantly enriched for functions in xenobiotic metabolism, chromatin regulation, and systemic lupus erythematosus (FDR q < 0.05). In contrast, 66 genes were nominally differentially expressed between Non-TD and TD, including 8 genes that were also differentially expressed in ASD. Gene coexpression modules were significantly correlated with demographic factors and cell type proportions. Limitations ASD-associated gene expression differences identified in this study are subtle, as cord blood is not the main affected tissue, it is composed of many cell types, and ASD is a heterogeneous disorder. Conclusions This is the first study to identify gene expression differences in cord blood specific to ASD through a meta-analysis across two prospective pregnancy cohorts. The enriched gene pathways support involvement of environmental, immune, and epigenetic mechanisms in ASD etiology.
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Affiliation(s)
- Charles E Mordaunt
- 1Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Bo Y Park
- 2Department of Public Health, California State University, Fullerton, CA USA
| | - Kelly M Bakulski
- 3Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Jason I Feinberg
- 4Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Lisa A Croen
- 5Division of Research and Autism Research Program, Kaiser Permanente Northern California, Oakland, CA USA
| | | | - Craig J Newschaffer
- 6Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA USA
| | - Heather E Volk
- 4Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Sally Ozonoff
- 7Psychiatry and Behavioral Sciences and MIND Institute, University of California, Davis, CA USA
| | - Irva Hertz-Picciotto
- 8Department of Public Health Sciences and MIND Institute, University of California, Davis, CA USA
| | - Janine M LaSalle
- 1Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Rebecca J Schmidt
- 8Department of Public Health Sciences and MIND Institute, University of California, Davis, CA USA
| | - M Daniele Fallin
- 4Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
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20
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Garrett-Bakelman FE, Darshi M, Green SJ, Gur RC, Lin L, Macias BR, McKenna MJ, Meydan C, Mishra T, Nasrini J, Piening BD, Rizzardi LF, Sharma K, Siamwala JH, Taylor L, Vitaterna MH, Afkarian M, Afshinnekoo E, Ahadi S, Ambati A, Arya M, Bezdan D, Callahan CM, Chen S, Choi AMK, Chlipala GE, Contrepois K, Covington M, Crucian BE, De Vivo I, Dinges DF, Ebert DJ, Feinberg JI, Gandara JA, George KA, Goutsias J, Grills GS, Hargens AR, Heer M, Hillary RP, Hoofnagle AN, Hook VYH, Jenkinson G, Jiang P, Keshavarzian A, Laurie SS, Lee-McMullen B, Lumpkins SB, MacKay M, Maienschein-Cline MG, Melnick AM, Moore TM, Nakahira K, Patel HH, Pietrzyk R, Rao V, Saito R, Salins DN, Schilling JM, Sears DD, Sheridan CK, Stenger MB, Tryggvadottir R, Urban AE, Vaisar T, Van Espen B, Zhang J, Ziegler MG, Zwart SR, Charles JB, Kundrot CE, Scott GBI, Bailey SM, Basner M, Feinberg AP, Lee SMC, Mason CE, Mignot E, Rana BK, Smith SM, Snyder MP, Turek FW. The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight. Science 2019; 364:364/6436/eaau8650. [PMID: 30975860 DOI: 10.1126/science.aau8650] [Citation(s) in RCA: 391] [Impact Index Per Article: 78.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 02/28/2019] [Indexed: 12/11/2022]
Abstract
To understand the health impact of long-duration spaceflight, one identical twin astronaut was monitored before, during, and after a 1-year mission onboard the International Space Station; his twin served as a genetically matched ground control. Longitudinal assessments identified spaceflight-specific changes, including decreased body mass, telomere elongation, genome instability, carotid artery distension and increased intima-media thickness, altered ocular structure, transcriptional and metabolic changes, DNA methylation changes in immune and oxidative stress-related pathways, gastrointestinal microbiota alterations, and some cognitive decline postflight. Although average telomere length, global gene expression, and microbiome changes returned to near preflight levels within 6 months after return to Earth, increased numbers of short telomeres were observed and expression of some genes was still disrupted. These multiomic, molecular, physiological, and behavioral datasets provide a valuable roadmap of the putative health risks for future human spaceflight.
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Affiliation(s)
- Francine E Garrett-Bakelman
- Weill Cornell Medicine, New York, NY, USA.,University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Manjula Darshi
- Center for Renal Precision Medicine, University of Texas Health, San Antonio, TX, USA
| | | | - Ruben C Gur
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ling Lin
- Stanford University School of Medicine, Palo Alto, CA, USA
| | | | | | - Cem Meydan
- Weill Cornell Medicine, New York, NY, USA.,The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Jad Nasrini
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | - Kumar Sharma
- Center for Renal Precision Medicine, University of Texas Health, San Antonio, TX, USA
| | | | - Lynn Taylor
- Colorado State University, Fort Collins, CO, USA
| | | | | | - Ebrahim Afshinnekoo
- Weill Cornell Medicine, New York, NY, USA.,The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | - Sara Ahadi
- Stanford University School of Medicine, Palo Alto, CA, USA
| | - Aditya Ambati
- Stanford University School of Medicine, Palo Alto, CA, USA
| | | | - Daniela Bezdan
- Weill Cornell Medicine, New York, NY, USA.,The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA
| | | | - Songjie Chen
- Stanford University School of Medicine, Palo Alto, CA, USA
| | | | | | | | - Marisa Covington
- National Aeronautics and Space Administration (NASA), Houston, TX, USA
| | - Brian E Crucian
- National Aeronautics and Space Administration (NASA), Houston, TX, USA
| | | | - David F Dinges
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | | | - Ryan P Hillary
- Stanford University School of Medicine, Palo Alto, CA, USA
| | | | | | | | - Peng Jiang
- Northwestern University, Evanston, IL, USA
| | | | | | | | | | | | | | | | - Tyler M Moore
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Hemal H Patel
- University of California, San Diego, La Jolla, CA, USA
| | | | - Varsha Rao
- Stanford University School of Medicine, Palo Alto, CA, USA
| | - Rintaro Saito
- University of California, San Diego, La Jolla, CA, USA
| | - Denis N Salins
- Stanford University School of Medicine, Palo Alto, CA, USA
| | | | | | | | - Michael B Stenger
- National Aeronautics and Space Administration (NASA), Houston, TX, USA
| | | | | | | | | | - Jing Zhang
- Stanford University School of Medicine, Palo Alto, CA, USA
| | | | - Sara R Zwart
- University of Texas Medical Branch, Galveston, TX, USA
| | - John B Charles
- National Aeronautics and Space Administration (NASA), Houston, TX, USA.
| | - Craig E Kundrot
- Space Life and Physical Sciences Division, NASA Headquarters, Washington, DC, USA.
| | - Graham B I Scott
- National Space Biomedical Research Institute, Baylor College of Medicine, Houston, TX, USA.
| | | | - Mathias Basner
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | | | | | - Christopher E Mason
- Weill Cornell Medicine, New York, NY, USA. .,The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY, USA.,The Feil Family Brain and Mind Research Institute, New York, NY, USA.,The WorldQuant Initiative for Quantitative Prediction, New York, NY, USA
| | | | - Brinda K Rana
- University of California, San Diego, La Jolla, CA, USA.
| | - Scott M Smith
- National Aeronautics and Space Administration (NASA), Houston, TX, USA.
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21
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Ladd-Acosta C, Feinberg JI, Brown SC, Lurmann FW, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Feinberg AP, Fallin MD, Volk HE. Epigenetic marks of prenatal air pollution exposure found in multiple tissues relevant for child health. Environ Int 2019; 126:363-376. [PMID: 30826615 PMCID: PMC6446941 DOI: 10.1016/j.envint.2019.02.028] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 01/05/2019] [Accepted: 02/10/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Prenatal air pollution exposure has been linked to many adverse health conditions in the offspring. However, little is known about the mechanisms underlying these associations. Epigenetics may be one plausible biologic link. Here, we sought to identify site-specific and global DNA methylation (DNAm) changes, in developmentally relevant tissues, associated with prenatal exposure to nitrogen dioxide (NO2) and ozone (O3). Additionally, we assessed whether sex-specific changes in methylation exist and whether DNAm changes are consistently observed across tissues. METHODS Genome-scale DNAm measurements were obtained using the Infinium HumanMethylation450k platform for 133 placenta and 175 cord blood specimens from Early Autism Risk Longitudinal Investigation (EARLI) neonates. Ambient NO2 and O3 exposure levels were based on prenatal address locations of EARLI mothers and the Environmental Protection Agency's AirNOW monitoring network using inverse distance weighting. We computed sample-level aggregate methylation measures for each of 5 types of genomic regions including genome-wide, open sea, shelf, shore, and island regions. Linear regression was performed for each genomic region; per-sample aggregate methylation measures were modeled as a function of quantitative exposure level with covariate adjustment. In addition, bumphunting was performed to identify differentially methylated regions (DMRs) associated with prenatal O3 and NO2 exposures in each tissue and by sex, with adjustment for technical and biological sources of variation. RESULTS We identified global and locus-specific changes in DNA methylation related to prenatal exposure to NO2 and O3 in 2 developmentally relevant tissues. Neonates with increased prenatal O3 exposure had lower aggregate levels of DNAm at CpGs located in open sea and shelf regions of the genome. We identified 6 DMRs associated with prenatal NO2 exposure, including 3 sex-specific. An additional 3 sex-specific DMRs were associated with prenatal O3 exposure levels. DMRs initially detected in cord blood samples (n = 4) showed consistent exposure-related changes in DNAm in placenta. However, the DMRs initially detected in placenta (n = 5) did not show DNAm differences in cord blood and, thus, they appear to be tissue-specific. CONCLUSIONS We observed global, locus, and sex-specific methylation changes associated with prenatal NO2 and O3 exposures. Our findings support DNAm is a biologic target of prenatal air pollutant exposures and highlight epigenetic involvement in sex-specific differential susceptibility to environmental exposure effects in 2 developmentally relevant tissues.
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Affiliation(s)
- Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shannon C Brown
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Lisa A Croen
- Autism Research Program, Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California, Davis, CA, USA
| | - Craig J Newschaffer
- A.J. Drexel Autism Institute and Department of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, PA, USA
| | - Andrew P Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - M Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Heather E Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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22
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Gruzieva O, Xu CJ, Yousefi P, Relton C, Merid SK, Breton CV, Gao L, Volk HE, Feinberg JI, Ladd-Acosta C, Bakulski K, Auffray C, Lemonnier N, Plusquin M, Ghantous A, Herceg Z, Nawrot TS, Pizzi C, Richiardi L, Rusconi F, Vineis P, Kogevinas M, Felix JF, Duijts L, den Dekker HT, Jaddoe VWV, Ruiz JL, Bustamante M, Antó JM, Sunyer J, Vrijheid M, Gutzkow KB, Grazuleviciene R, Hernandez-Ferrer C, Annesi-Maesano I, Lepeule J, Bousquet J, Bergström A, Kull I, Söderhäll C, Kere J, Gehring U, Brunekreef B, Just AC, Wright RJ, Peng C, Gold DR, Kloog I, DeMeo DL, Pershagen G, Koppelman GH, London SJ, Baccarelli AA, Melén E. Prenatal Particulate Air Pollution and DNA Methylation in Newborns: An Epigenome-Wide Meta-Analysis. Environ Health Perspect 2019; 127:57012. [PMID: 31148503 PMCID: PMC6792178 DOI: 10.1289/ehp4522] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 05/02/2019] [Accepted: 05/06/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Prenatal exposure to air pollution has been associated with childhood respiratory disease and other adverse outcomes. Epigenetics is a suggested link between exposures and health outcomes. OBJECTIVES We aimed to investigate associations between prenatal exposure to particulate matter (PM) with diameter [Formula: see text] ([Formula: see text]) or [Formula: see text] ([Formula: see text]) and DNA methylation in newborns and children. METHODS We meta-analyzed associations between exposure to [Formula: see text] ([Formula: see text]) and [Formula: see text] ([Formula: see text]) at maternal home addresses during pregnancy and newborn DNA methylation assessed by Illumina Infinium HumanMethylation450K BeadChip in nine European and American studies, with replication in 688 independent newborns and look-up analyses in 2,118 older children. We used two approaches, one focusing on single cytosine-phosphate-guanine (CpG) sites and another on differentially methylated regions (DMRs). We also related PM exposures to blood mRNA expression. RESULTS Six CpGs were significantly associated [false discovery rate (FDR) [Formula: see text]] with prenatal [Formula: see text] and 14 with [Formula: see text] exposure. Two of the [Formula: see text] CpGs mapped to FAM13A (cg00905156) and NOTCH4 (cg06849931) previously associated with lung function and asthma. Although these associations did not replicate in the smaller newborn sample, both CpGs were significant ([Formula: see text]) in 7- to 9-y-olds. For cg06849931, however, the direction of the association was inconsistent. Concurrent [Formula: see text] exposure was associated with a significantly higher NOTCH4 expression at age 16 y. We also identified several DMRs associated with either prenatal [Formula: see text] and or [Formula: see text] exposure, of which two [Formula: see text] DMRs, including H19 and MARCH11, replicated in newborns. CONCLUSIONS Several differentially methylated CpGs and DMRs associated with prenatal PM exposure were identified in newborns, with annotation to genes previously implicated in lung-related outcomes. https://doi.org/10.1289/EHP4522.
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Affiliation(s)
- Olena Gruzieva
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 2 Centre for Occupational and Environmental Medicine, Stockholm County Council , Stockholm, Sweden
| | - Cheng-Jian Xu
- 3 Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen , Netherlands
- 4 Department of Pediatric Pulmonology and Pediatric Allergology, University Medical Center Groningen, Beatrix Children's Hospital, University of Groningen , Netherlands
- 5 Department of Genetics, University Medical Center Groningen, University of Groningen , Netherlands
| | - Paul Yousefi
- 6 MRC Integrative Epidemiology Unit, University of Bristol , Bristol, UK
- 7 Population Health Sciences, Bristol Medical School, University of Bristol , Bristol, UK
| | - Caroline Relton
- 6 MRC Integrative Epidemiology Unit, University of Bristol , Bristol, UK
- 7 Population Health Sciences, Bristol Medical School, University of Bristol , Bristol, UK
| | - Simon Kebede Merid
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
| | - Carrie V Breton
- 8 Department of Preventive Medicine, University of Southern California Los Angeles , Los Angeles, California, USA
| | - Lu Gao
- 8 Department of Preventive Medicine, University of Southern California Los Angeles , Los Angeles, California, USA
| | - Heather E Volk
- 9 Department of Mental Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA
- 10 Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA
| | - Jason I Feinberg
- 9 Department of Mental Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA
| | - Christine Ladd-Acosta
- 11 Department of Epidemiology, School of Public Health, University of Michigan , Ann Arbor, Michigan, USA
| | - Kelly Bakulski
- 11 Department of Epidemiology, School of Public Health, University of Michigan , Ann Arbor, Michigan, USA
| | - Charles Auffray
- 12 European Institute for Systems Biology and Medicine (EISBM), CNRS-ENS-UCBL, Université de Lyon , Lyon, France
| | - Nathanaël Lemonnier
- 12 European Institute for Systems Biology and Medicine (EISBM), CNRS-ENS-UCBL, Université de Lyon , Lyon, France
- 13 Institute for Advanced Biosciences, UGA-Institut national de la santé et de la recherché médicale (Inserm) , La Tronche, France
| | - Michelle Plusquin
- 14 Centre for Environmental Sciences, Hasselt University , Diepenbeek, Belgium
- 15 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London , London, UK
| | - Akram Ghantous
- 16 Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- 16 Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Tim S Nawrot
- 14 Centre for Environmental Sciences, Hasselt University , Diepenbeek, Belgium
- 17 Department of Public Health & Primary Care, Leuven University , Leuven, Belgium
| | - Costanza Pizzi
- 18 Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte , Turin, Italy
| | - Lorenzo Richiardi
- 18 Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte , Turin, Italy
| | - Franca Rusconi
- 19 Unit of Epidemiology, Meyer Children's University Hospital , Florence, Italy
| | - Paolo Vineis
- 15 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London , London, UK
| | - Manolis Kogevinas
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
| | - Janine F Felix
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 25 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam , Rotterdam, Netherlands
| | - Liesbeth Duijts
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 26 Department of Pediatrics, Divisions of Respiratory Medicine and Allergology, and Neonatology, Erasmus MC, University Medical Center , Rotterdam, Netherlands
| | - Herman T den Dekker
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 25 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam , Rotterdam, Netherlands
| | - Vincent W V Jaddoe
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 25 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam , Rotterdam, Netherlands
| | - José L Ruiz
- 27 Center for Genomic Regulation (CRG) , Barcelona, Spain
- 28 Instituto de Parasitología y Biomedicina López-Neyra (IPBLN), Spanish National Research Council (CSIC) , Armilla, Granada, Spain
| | - Mariona Bustamante
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
- 27 Center for Genomic Regulation (CRG) , Barcelona, Spain
| | - Josep Maria Antó
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
- 29 Hospital de Mar Medical Research Institute (IMIM) , Barcelona, Spain
| | - Jordi Sunyer
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
- 29 Hospital de Mar Medical Research Institute (IMIM) , Barcelona, Spain
| | - Martine Vrijheid
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
| | | | - Regina Grazuleviciene
- 31 Department of Environmental Sciences, Vytauto Didziojo Universitetas , Kaunas, Lithuania
| | - Carles Hernandez-Ferrer
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 32 Computational Health Informatics Program , Boston Children's Hospital , Boston, Massachusetts, USA
| | - Isabella Annesi-Maesano
- 33 Epidemiology of Allergic and Respiratory Diseases Department, IPLESP, Inserm and Sorbonne University Medical School Saint-Antoine , Paris, France
| | - Johanna Lepeule
- 34 Université Grenoble Alpes, Inserm, National Institute of Health & Medical Research, CNRS, IAB , Grenoble, France
| | - Jean Bousquet
- 35 Innovation Partnership on Active and Healthy Ageing Reference Site, MACVIA-France (Contre les Maladies Chroniques pour un Vieillissement Actif en France European) , Montpellier, France
- 36 U 1168, VIMA: Ageing and Chronic Diseases Epidemiological and Public Health Approaches, Inserm Villejuif, Université Versailles St-Quentin-en-Yvelines , Montigny le Bretonneux, France
| | - Anna Bergström
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 2 Centre for Occupational and Environmental Medicine, Stockholm County Council , Stockholm, Sweden
| | - Inger Kull
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 37 Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet , Stockholm, Sweden
- 38 Sachs Children's Hospital , Stockholm, Sweden
| | - Cilla Söderhäll
- 39 Department of Women's and Children's Health, Karolinska Institutet , Stockholm, Sweden
- 40 Department of Biosciences and Nutrition, Karolinska Institutet , Stockholm, Sweden
| | - Juha Kere
- 40 Department of Biosciences and Nutrition, Karolinska Institutet , Stockholm, Sweden
- 42 School of Basic and Medical Biosciences, King's College London, Guy's Hospital , London, UK
| | - Ulrike Gehring
- 44 Institute for Risk Assessment Sciences, Utrecht University , Utrecht, Netherlands
| | - Bert Brunekreef
- 44 Institute for Risk Assessment Sciences, Utrecht University , Utrecht, Netherlands
- 45 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University , Utrecht, Netherlands
| | - Allan C Just
- 46 Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai , New York, USA
| | - Rosalind J Wright
- 47 Department of Pediatrics, Icahn School of Medicine at Mount Sinai , New York, USA
| | - Cheng Peng
- 48 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA
| | - Diane R Gold
- 48 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA
- 49 Department of Environmental Health, Harvard T.H. Chan School of Public Health , Boston, Massachusetts, USA
| | - Itai Kloog
- 50 Department of Geography and Environmental Development, Ben-Gurion University of the Negev , Beer Sheva, Israel
| | - Dawn L DeMeo
- 48 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA
| | - Göran Pershagen
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 2 Centre for Occupational and Environmental Medicine, Stockholm County Council , Stockholm, Sweden
| | - Gerard H Koppelman
- 3 Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen , Netherlands
- 4 Department of Pediatric Pulmonology and Pediatric Allergology, University Medical Center Groningen, Beatrix Children's Hospital, University of Groningen , Netherlands
| | - Stephanie J London
- 51 National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), U.S. Department of Health and Human Services , Research Triangle Park, North Carolina, USA
| | - Andrea A Baccarelli
- 52 Department of Environmental Health Sciences, Columbia University Mailman School of Public Health , New York, USA
| | - Erik Melén
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 38 Sachs Children's Hospital , Stockholm, Sweden
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23
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Gomez-Cabrero D, Almgren M, Sjöholm LK, Hensvold AH, Ringh MV, Tryggvadottir R, Kere J, Scheynius A, Acevedo N, Reinius L, Taub MA, Montano C, Aryee MJ, Feinberg JI, Feinberg AP, Tegnér J, Klareskog L, Catrina AI, Ekström TJ. High-specificity bioinformatics framework for epigenomic profiling of discordant twins reveals specific and shared markers for ACPA and ACPA-positive rheumatoid arthritis. Genome Med 2016; 8:124. [PMID: 27876072 PMCID: PMC5120506 DOI: 10.1186/s13073-016-0374-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 10/20/2016] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Twin studies are powerful models to elucidate epigenetic modifications resulting from gene-environment interactions. Yet, commonly a limited number of clinical twin samples are available, leading to an underpowered situation afflicted with false positives and hampered by low sensitivity. We investigated genome-wide DNA methylation data from two small sets of monozygotic twins representing different phases during the progression of rheumatoid arthritis (RA) to find novel genes for further research. METHODS We implemented a robust statistical methodology aimed at investigating a small number of samples to identify differential methylation utilizing the comprehensive CHARM platform with whole blood cell DNA from two sets of twin pairs discordant either for ACPA (antibodies to citrullinated protein antigens)-positive RA versus ACPA-negative healthy or for ACPA-positive healthy (a pre-RA stage) versus ACPA-negative healthy. To deconvolute cell type-dependent differential methylation, we assayed the methylation patterns of sorted cells and used computational algorithms to resolve the relative contributions of different cell types and used them as covariates. RESULTS To identify methylation biomarkers, five healthy twin pairs discordant for ACPAs were profiled, revealing a single differentially methylated region (DMR). Seven twin pairs discordant for ACPA-positive RA revealed six significant DMRs. After deconvolution of cell type proportions, profiling of the healthy ACPA discordant twin-set revealed 17 genome-wide significant DMRs. When methylation profiles of ACPA-positive RA twin pairs were adjusted for cell type, the analysis disclosed one significant DMR, associated with the EXOSC1 gene. Additionally, the results from our methodology suggest a temporal connection of the protocadherine beta-14 gene to ACPA-positivity with clinical RA. CONCLUSIONS Our biostatistical methodology, optimized for a low-sample twin design, revealed non-genetically linked genes associated with two distinct phases of RA. Functional evidence is still lacking but the results reinforce further study of epigenetic modifications influencing the progression of RA. Our study design and methodology may prove generally useful in twin studies.
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Affiliation(s)
- David Gomez-Cabrero
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Unit of Computational Medicine, Stockholm, Sweden.,Bioinformatic Infrastructure for Life Sciences, Stockholm, Sweden.,Mucosal and Salivary Biology Division, King's College London Dental Institute, London, UK
| | - Malin Almgren
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Center for Epigenetics, Johns Hopkins University, Baltimore, MD, USA
| | - Louise K Sjöholm
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Aase H Hensvold
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Unit of Rheumatology, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Mikael V Ringh
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Juha Kere
- Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Annika Scheynius
- Department of Clinical Science and Education, Karolinska Institutet, and Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Nathalie Acevedo
- Translational Immunology Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Lovisa Reinius
- Center for Biosciences, Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
| | - Margaret A Taub
- Center for Epigenetics, Johns Hopkins University, Baltimore, MD, USA.,Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Carolina Montano
- Medical Scientist Training Program, and Predoctoral Training Program in Human Genetics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Martin J Aryee
- Departments of Pathology, Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School, Boston, MD, USA.,Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.,Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jason I Feinberg
- Center for Epigenetics, Johns Hopkins University, Baltimore, MD, USA.,Departments of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew P Feinberg
- Center for Epigenetics, Johns Hopkins University, Baltimore, MD, USA.,Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.,Departments of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Jesper Tegnér
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Unit of Computational Medicine, Stockholm, Sweden
| | - Lars Klareskog
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Unit of Rheumatology, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Anca I Catrina
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Unit of Rheumatology, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Tomas J Ekström
- Center for Molecular Medicine at Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden. .,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
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24
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Montano C, Taub MA, Jaffe A, Briem E, Feinberg JI, Trygvadottir R, Idrizi A, Runarsson A, Berndsen B, Gur RC, Moore TM, Perry RT, Fugman D, Sabunciyan S, Yolken RH, Hyde TM, Kleinman JE, Sobell JL, Pato CN, Pato MT, Go RC, Nimgaonkar V, Weinberger DR, Braff D, Gur RE, Fallin MD, Feinberg AP. Association of DNA Methylation Differences With Schizophrenia in an Epigenome-Wide Association Study. JAMA Psychiatry 2016; 73:506-14. [PMID: 27074206 PMCID: PMC6353566 DOI: 10.1001/jamapsychiatry.2016.0144] [Citation(s) in RCA: 123] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE DNA methylation may play an important role in schizophrenia (SZ), either directly as a mechanism of pathogenesis or as a biomarker of risk. OBJECTIVE To scan genome-wide DNA methylation data to identify differentially methylated CpGs between SZ cases and controls. DESIGN, SETTING, AND PARTICIPANTS Epigenome-wide association study begun in 2008 using DNA methylation levels of 456 513 CpG loci measured on the Infinium HumanMethylation450 array (Illumina) in a consortium of case-control studies for initial discovery and in an independent replication set. Primary analyses used general linear regression, adjusting for age, sex, race/ethnicity, smoking, batch, and cell type heterogeneity. The discovery set contained 689 SZ cases and 645 controls (n = 1334), from 3 multisite consortia: the Consortium on the Genetics of Endophenotypes in Schizophrenia, the Project among African-Americans To Explore Risks for Schizophrenia, and the Multiplex Multigenerational Family Study of Schizophrenia. The replication set contained 247 SZ cases and 250 controls (n = 497) from the Genomic Psychiatry Cohort. MAIN OUTCOMES AND MEASURES Identification of differentially methylated positions across the genome in SZ cases compared with controls. RESULTS Of the 689 case participants in the discovery set, 477 (69%) were men and 258 (37%) were non-African American; of the 645 controls, 273 (42%) were men and 419 (65%) were non-African American. In our replication set, cases/controls were 76% male and 100% non-African American. We identified SZ-associated methylation differences at 923 CpGs in the discovery set (false discovery rate, <0.2). Of these, 625 showed changes in the same direction including 172 with P < .05 in the replication set. Some replicated differentially methylated positions are located in a top-ranked SZ region from genome-wide association study analyses. CONCLUSIONS AND RELEVANCE This analysis identified 172 replicated new associations with SZ after careful correction for cell type heterogeneity and other potential confounders. The overlap with previous genome-wide association study data can provide potential insights into the functional relevance of genetic signals for SZ.
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Affiliation(s)
- Carolina Montano
- Medical Scientist Training Program and Predoctoral Training Program in Human Genetics, Johns Hopkins University School of Medicine, Baltimore, Maryland,Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew Jaffe
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Eirikur Briem
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jason I. Feinberg
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rakel Trygvadottir
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Adrian Idrizi
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Arni Runarsson
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Birna Berndsen
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ruben C. Gur
- Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Tyler M. Moore
- Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rodney T. Perry
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | - Doug Fugman
- Rutgers University Cell and DNA Repository, Piscataway, New Jersey
| | - Sarven Sabunciyan
- Stanley Division of Developmental Neurovirology, Johns Hopkins, School of Medicine, Baltimore, Maryland
| | - Robert H. Yolken
- Stanley Division of Developmental Neurovirology, Johns Hopkins, School of Medicine, Baltimore, Maryland
| | - Thomas M. Hyde
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Joel E. Kleinman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - Janet L. Sobell
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Carlos N. Pato
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Michele T. Pato
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Rodney C. Go
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | | | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland
| | - David Braff
- Department of Psychiatry, University of California San Diego School of Medicine, La Jolla,VISN22, Mental Illness Research, Education, and Clinical Center, VA Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Raquel E. Gur
- Neuropsychiatry Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Margaret Daniele Fallin
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew P. Feinberg
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland,Departments of Medicine and Biomedical Engineering, Johns Hopkins University School of Medicine and Whiting School of Engineering, Baltimore, Maryland
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25
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Bakulski KM, Feinberg JI, Andrews SV, Yang J, Brown S, L McKenney S, Witter F, Walston J, Feinberg AP, Fallin MD. DNA methylation of cord blood cell types: Applications for mixed cell birth studies. Epigenetics 2016; 11:354-62. [PMID: 27019159 DOI: 10.1080/15592294.2016.1161875] [Citation(s) in RCA: 215] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
Epigenome-wide association studies of disease widely use DNA methylation measured in blood as a surrogate tissue. Cell proportions can vary between people and confound associations of exposure or outcome. An adequate reference panel for estimating cell proportions from adult whole blood for DNA methylation studies is available, but an analogous cord blood cell reference panel is not yet available. Cord blood has unique cell types and the epigenetic signatures of standard cell types may not be consistent throughout the life course. Using magnetic bead sorting, we isolated cord blood cell types (nucleated red blood cells, granulocytes, monocytes, natural killer cells, B cells, CD4(+)T cells, and CD8(+)T cells) from 17 live births at Johns Hopkins Hospital. We confirmed enrichment of the cell types using fluorescence assisted cell sorting and ran DNA from the separated cell types on the Illumina Infinium HumanMethylation450 BeadChip array. After filtering, the final analysis was on 104 samples at 429,794 probes. We compared cell type specific signatures in cord to each other and methylation at 49.2% of CpG sites on the array differed by cell type (F-test P < 10(-8)). Differences between nucleated red blood cells and the remainder of the cell types were most pronounced (36.9% of CpG sites at P < 10(-8)) and 99.5% of these sites were hypomethylated relative to the other cell types. We also compared the mean-centered sorted cord profiles to the available adult reference panel and observed high correlation between the overlapping cell types for granulocytes and monocytes (both r=0.74), and poor correlation for CD8(+)T cells and NK cells (both r=0.08). We further provide an algorithm for estimating cell proportions in cord blood using the newly developed cord reference panel, which estimates biologically plausible cell proportions in whole cord blood samples.
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Affiliation(s)
- Kelly M Bakulski
- a Department of Epidemiology , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA.,b Center for Epigenetics, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA.,c Department of Epidemiology , University of Michigan School of Public Health , Ann Arbor , Michigan , USA
| | - Jason I Feinberg
- b Center for Epigenetics, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA.,d Department of Mental Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA
| | - Shan V Andrews
- a Department of Epidemiology , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA
| | - Jack Yang
- e Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA
| | - Shannon Brown
- a Department of Epidemiology , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA.,f Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health , Baltimore , Maryland , USA
| | - Stephanie L McKenney
- g Division of Neonatology, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA
| | - Frank Witter
- h Division of Gynecology and Obstetrics, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA.,i Department of International Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA
| | - Jeremy Walston
- e Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA
| | - Andrew P Feinberg
- b Center for Epigenetics, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA.,d Department of Mental Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA
| | - M Daniele Fallin
- b Center for Epigenetics, Johns Hopkins University School of Medicine , Baltimore , Maryland , USA.,d Department of Mental Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA.,f Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health , Baltimore , Maryland , USA
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26
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Bakulski KM, Lee H, Feinberg JI, Wells EM, Brown S, Herbstman JB, Witter FR, Halden RU, Caldwell K, Mortensen ME, Jaffe AE, Moye J, Caulfield LE, Pan Y, Goldman LR, Feinberg AP, Fallin MD. Prenatal mercury concentration is associated with changes in DNA methylation at TCEANC2 in newborns. Int J Epidemiol 2015; 44:1249-62. [PMID: 25906783 DOI: 10.1093/ije/dyv032] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/26/2015] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Human exposure to the widespread environmental contaminant mercury is a known risk factor for common diseases such as cancer, cardiovascular disease and neurological disorders through poorly characterized mechanisms. Evidence suggests mercury exposure may alter DNA methylation levels, but to date, the effects in early life on a genome-wide scale have not been investigated. METHODS A study sample of 141 newborns was recruited in Baltimore, MD, USA and total mercury and methylmercury were measured in cord blood samples. We quantified genome-wide DNA methylation data using CHARM 2.0, an array-based method, and used region-finding analyses to identify concentration-associated differentially methylated regions (DMRs). To test for replication of these identified DMRs in the pilot, or Vanguard, phase of the National Children's Study (NCS), we compared bisulfite-pyrosequenced DNA at candidate regions from 85 whole cord blood samples with matched first trimester maternal mercury concentration measures. RESULTS Total mercury concentration was associated with methylation at DMRs inside ANGPT2 and near PRPF18 genes [false discovery rate (FDR) < 0.05], as well as DMRs near FOXD2 and within TCEANC2 (FDR< 0.1) genes. Methylmercury concentration was associated with an overlapping DMR within TCEANC2 (FDR< 0.05). In NCS replication analyses, methylation levels at three of four cytosine-guanine DNA dinucleotides (CpG sites) within the TCEANC2 DMR were associated with total mercury concentration (P < 0.05), and this association was diminished after adjusting for estimated cell proportions. CONCLUSIONS Evidence for an association between mercury and DNA methylation at the TCEANC2 region was found, which may represent a mercury-associated shift in cord blood cell composition or a change in methylation within blood cell types. Further confirmatory studies are needed.
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Affiliation(s)
- Kelly M Bakulski
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - HwaJin Lee
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jason I Feinberg
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ellen M Wells
- Purdue University, School of Health Sciences, West Lafayette, Indiana, USA
| | - Shannon Brown
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Julie B Herbstman
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Columbia University Mailman School of Public Health, New York City, New York, USA
| | - Frank R Witter
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rolf U Halden
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, Arizona State University, Fulton School of Engineering, Tempe, Arizona, USA
| | - Kathleen Caldwell
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Mary Ellen Mortensen
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Andrew E Jaffe
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA, Lieber Institute for Brain Development, Baltimore, Maryland, USA
| | - John Moye
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA and
| | - Laura E Caulfield
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Yi Pan
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Lynn R Goldman
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, George Washington University School of Public Health, Washington D.C., USA
| | - Andrew P Feinberg
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - M Daniele Fallin
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA,
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27
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Feinberg JI, Bakulski KM, Jaffe AE, Tryggvadottir R, Brown SC, Goldman LR, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Fallin MD, Feinberg AP. Paternal sperm DNA methylation associated with early signs of autism risk in an autism-enriched cohort. Int J Epidemiol 2015; 44:1199-210. [PMID: 25878217 DOI: 10.1093/ije/dyv028] [Citation(s) in RCA: 99] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2015] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Epigenetic mechanisms such as altered DNA methylation have been suggested to play a role in autism, beginning with the classical association of Prader-Willi syndrome, an imprinting disorder, with autistic features. OBJECTIVES Here we tested for the relationship of paternal sperm DNA methylation with autism risk in offspring, examining an enriched-risk cohort of fathers of autistic children. METHODS We examined genome-wide DNA methylation (DNAm) in paternal semen biosamples obtained from an autism spectrum disorder (ASD) enriched-risk pregnancy cohort, the Early Autism Risk Longitudinal Investigation (EARLI) cohort, to estimate associations between sperm DNAm and prospective ASD development, using a 12-month ASD symptoms assessment, the Autism Observation Scale for Infants (AOSI). We analysed methylation data from 44 sperm samples run on the CHARM 3.0 array, which contains over 4 million probes (over 7 million CpG sites), including 30 samples also run on the Illumina Infinium HumanMethylation450 (450K) BeadChip platform (∼485 000 CpG sites). We also examined associated regions in an independent sample of post-mortem human brain ASD and control samples for which Illumina 450K DNA methylation data were available. RESULTS Using region-based statistical approaches, we identified 193 differentially methylated regions (DMRs) in paternal sperm with a family-wise empirical P-value [family-wise error rate (FWER)] <0.05 associated with performance on the Autism Observational Scale for Infants (AOSI) at 12 months of age in offspring. The DMRs clustered near genes involved in developmental processes, including many genes in the SNORD family, within the Prader-Willi syndrome gene cluster. These results were consistent among the 75 probes on the Illumina 450K array that cover AOSI-associated DMRs from CHARM. Further, 18 of 75 (24%) 450K array probes showed consistent differences in the cerebellums of autistic individuals compared with controls. CONCLUSIONS These data suggest that epigenetic differences in paternal sperm may contribute to autism risk in offspring, and provide evidence that directionally consistent, potentially related epigenetic mechanisms may be operating in the cerebellum of individuals with autism.
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Affiliation(s)
- Jason I Feinberg
- Johns Hopkins Bloomberg School of Public Health, Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Center for Epigenetics
| | - Kelly M Bakulski
- Johns Hopkins Bloomberg School of Public Health, Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Center for Epigenetics, Johns Hopkins Bloomberg School of Public Health, Epidemiology
| | - Andrew E Jaffe
- Lieber Institute for Brain Development, Johns Hopkins Bloomberg School of Public Health, Mental Health and
| | | | - Shannon C Brown
- Johns Hopkins Bloomberg School of Public Health, Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Epidemiology
| | - Lynn R Goldman
- George Washington University, Milken Institute School of Public Health, Johns Hopkins Bloomberg School of Public Health
| | - Lisa A Croen
- Kaiser Permanente, Division of Research, Autism Research Program
| | | | - Craig J Newschaffer
- Drexel University, A.J. Drexel Autism Institute, Drexel University School of Public Health, Epidemiology and Biostatistics
| | - M Daniele Fallin
- Johns Hopkins Bloomberg School of Public Health, Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Mental Health and
| | - Andrew P Feinberg
- Johns Hopkins University, Center for Epigenetics, Johns Hopkins University School of Medicine, Medicine
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Annaluru N, Muller H, Mitchell LA, Ramalingam S, Stracquadanio G, Richardson SM, Dymond JS, Kuang Z, Scheifele LZ, Cooper EM, Cai Y, Zeller K, Agmon N, Han JS, Hadjithomas M, Tullman J, Caravelli K, Cirelli K, Guo Z, London V, Yeluru A, Murugan S, Kandavelou K, Agier N, Fischer G, Yang K, Martin JA, Bilgel M, Bohutski P, Boulier KM, Capaldo BJ, Chang J, Charoen K, Choi WJ, Deng P, DiCarlo JE, Doong J, Dunn J, Feinberg JI, Fernandez C, Floria CE, Gladowski D, Hadidi P, Ishizuka I, Jabbari J, Lau CYL, Lee PA, Li S, Lin D, Linder ME, Ling J, Liu J, Liu J, London M, Ma H, Mao J, McDade JE, McMillan A, Moore AM, Oh WC, Ouyang Y, Patel R, Paul M, Paulsen LC, Qiu J, Rhee A, Rubashkin MG, Soh IY, Sotuyo NE, Srinivas V, Suarez A, Wong A, Wong R, Xie WR, Xu Y, Yu AT, Koszul R, Bader JS, Boeke JD, Chandrasegaran S. Total synthesis of a functional designer eukaryotic chromosome. Science 2014; 344:55-8. [PMID: 24674868 DOI: 10.1126/science.1249252] [Citation(s) in RCA: 364] [Impact Index Per Article: 36.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Rapid advances in DNA synthesis techniques have made it possible to engineer viruses, biochemical pathways and assemble bacterial genomes. Here, we report the synthesis of a functional 272,871-base pair designer eukaryotic chromosome, synIII, which is based on the 316,617-base pair native Saccharomyces cerevisiae chromosome III. Changes to synIII include TAG/TAA stop-codon replacements, deletion of subtelomeric regions, introns, transfer RNAs, transposons, and silent mating loci as well as insertion of loxPsym sites to enable genome scrambling. SynIII is functional in S. cerevisiae. Scrambling of the chromosome in a heterozygous diploid reveals a large increase in a-mater derivatives resulting from loss of the MATα allele on synIII. The complete design and synthesis of synIII establishes S. cerevisiae as the basis for designer eukaryotic genome biology.
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Affiliation(s)
- Narayana Annaluru
- Department of Environmental Health Sciences, Johns Hopkins University (JHU) School of Public Health, Baltimore, MD 21205, USA
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Lee H, Jaffe AE, Feinberg JI, Tryggvadottir R, Brown S, Montano C, Aryee MJ, Irizarry RA, Herbstman J, Witter FR, Goldman LR, Feinberg AP, Fallin MD. DNA methylation shows genome-wide association of NFIX, RAPGEF2 and MSRB3 with gestational age at birth. Int J Epidemiol 2012; 41:188-99. [PMID: 22422452 DOI: 10.1093/ije/dyr237] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Gestational age at birth strongly predicts neonatal, adolescent and adult morbidity and mortality through mostly unknown mechanisms. Identification of specific genes that are undergoing regulatory change prior to birth, such as through changes in DNA methylation, would increase our understanding of developmental changes occurring during the third trimester and consequences of pre-term birth (PTB). METHODS We performed a genome-wide analysis of DNA methylation (using microarrays, specifically CHARM 2.0) in 141 newborns collected in Baltimore, MD, using novel statistical methodology to identify genomic regions associated with gestational age at birth. Bisulphite pyrosequencing was used to validate significant differentially methylated regions (DMRs), and real-time PCR was performed to assess functional significance of differential methylation in a subset of newborns. RESULTS We identified three DMRs at genome-wide significance levels adjacent to the NFIX, RAPGEF2 and MSRB3 genes. All three regions were validated by pyrosequencing, and RAGPEF2 also showed an inverse correlation between DNA methylation levels and gene expression levels. Although the three DMRs appear very dynamic with gestational age in our newborn sample, adult DNA methylation levels at these regions are stable and of equal or greater magnitude than the oldest neonate, directionally consistent with the gestational age results. CONCLUSIONS We have identified three differentially methylated regions associated with gestational age at birth. All three nearby genes play important roles in the development of several organs, including skeletal muscle, brain and haematopoietic system. Therefore, they may provide initial insight into the basis of PTB's negative health outcomes. The genome-wide custom DNA methylation array technology and novel statistical methods employed in this study could constitute a model for epidemiologic studies of epigenetic variation.
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Affiliation(s)
- Hwajin Lee
- Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
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Feinberg JI. Portable medical record program provides peace of mind. Provider 1990; 16:28-9. [PMID: 10107622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Huhtanen CN, Feinberg JI, Trenchard H, Phillips JG. Acid Enhancement of Clostridium botulinum Inhibition in Ham and Bacon Prepared with Potassium Sorbate and Sorbic Acid. J Food Prot 1983; 46:807-810. [PMID: 30921946 DOI: 10.4315/0362-028x-46.9.807] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The effectiveness of combinations of sorbic acid and other acids (hydrochloric, phosphoric, acetic, citric, lactic and succinic) on Clostridium botulinum inhibition in comminuted ham and nitrite-free bacon was studied. These acids, when added to ham to give similar pH's, did not significantly inhibit the organism, but when acetic or citric acid was added with sorbic acid, inhibition was greater than with sorbic acid alone. The acids were less effective in inhibiting C. botulinum when added to sorbic acid-containing bacon. A study of the effectiveness of three levels of potassium sorbate (0.10, 0.26 or 0.52%) or sorbic acid (0.08, 0.20 or 0.40%) and two levels of phosphoric acid (0.04 or 0.08%) in comminuted ham showed that the highest levels of sorbate or sorbic acid were sufficient to inhibit toxin production when incubated at 30°C for 180 d. The same degree of C. botulinum inhibition was afforded by 0.26% sorbate with 0.08% H3PO4 or by 0.20% sorbic acid with 0.04% H3PO4. These differences were probably due to the higher pH obtained with sorbate.
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Affiliation(s)
- C N Huhtanen
- Eastern Regional Research Center 2 , Philadelphia, Pennsylvania 19118
| | - J I Feinberg
- Eastern Regional Research Center 2 , Philadelphia, Pennsylvania 19118
| | - H Trenchard
- Eastern Regional Research Center 2 , Philadelphia, Pennsylvania 19118
| | - J G Phillips
- Eastern Regional Research Center 2 , Philadelphia, Pennsylvania 19118
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Abstract
Two sensitive detection systems are described for the quantitative determination of a nonvolatile nitrosamine, nitrosoproline. One procedure involves denitrosation followed by derivatization of amino product, proline, with 7-chloro-4-nitrobenzo-2-oxa-1,3-diazole (NBD-Cl). The highly fluorescent NBD-proline compound formed is then identified and quantitated by either thin-layer chromatography or high-pressure liquid chromatography (HPLC). In the second system, the volatile methyl ester of the intact nitrosoproline is prepared, then detected by gas-liquid chromatography (GLC), and confirmed by combined gas-liquid chromatography and mass spectrometry (GLC-MS). Both methods permit the quantitative detection of less than 10 ng of nitrosoproline. However, the HPLC fluorescence technique is approximately ten times as sensitive as the GLC method.
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Fiddler W, Feinberg JI, Pensabene JW, Williams AC, Dooley CJ. Dimethylnitrosamine in souse and similar jellied cured-meat products. Food Cosmet Toxicol 1975; 13:653-4. [PMID: 1205440 DOI: 10.1016/0015-6264(75)90156-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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