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Bizzarri D, Reinders MJT, Kuiper L, Beekman M, Deelen J, van Meurs JBJ, van Dongen J, Pool R, Boomsma DI, Ghanbari M, Franke L, Slagboom PE, van den Akker EB. NMR metabolomics-guided DNA methylation mortality predictors. EBioMedicine 2024; 107:105279. [PMID: 39154540 DOI: 10.1016/j.ebiom.2024.105279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 07/25/2024] [Accepted: 07/29/2024] [Indexed: 08/20/2024] Open
Abstract
BACKGROUND 1H-NMR metabolomics and DNA methylation in blood are widely known biomarkers predicting age-related physiological decline and mortality yet exert mutually independent mortality and frailty signals. METHODS Leveraging multi-omics data in four Dutch population studies (N = 5238, ∼40% of which male) we investigated whether the mortality signal captured by 1H-NMR metabolomics could guide the construction of DNA methylation-based mortality predictors. FINDINGS We trained DNA methylation-based surrogates for 64 metabolomic analytes and found that analytes marking inflammation, fluid balance, or HDL/VLDL metabolism could be accurately reconstructed using DNA-methylation assays. Interestingly, a previously reported multi-analyte score indicating mortality risk (MetaboHealth) could also be accurately reconstructed. Sixteen of our derived surrogates, including the MetaboHealth surrogate, showed significant associations with mortality, independent of relevant covariates. INTERPRETATION The addition of our metabolic analyte-derived surrogates to the well-established epigenetic clock GrimAge demonstrates that our surrogates potentially represent valuable mortality signal. FUNDING BBMRI-NL, X-omics, VOILA, Medical Delta, NWO, ERC.
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Affiliation(s)
- Daniele Bizzarri
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Leiden Computational Biology Center, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Delft Bioinformatics Lab, TU Delft, Delft, the Netherlands
| | - Marcel J T Reinders
- Leiden Computational Biology Center, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Delft Bioinformatics Lab, TU Delft, Delft, the Netherlands
| | - Lieke Kuiper
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands; Center for Nutrition, Prevention and Health Services, National Institute for Public Health and Environment (RIVM), Bilthoven, the Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Joris Deelen
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Max Planck Institute for the Biology of Ageing, Cologne, Germany; Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases, University of Cologne, Cologne, Germany
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands; Department of Orthopaedics & Sports, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - René Pool
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, Groningen, the Netherlands
| | - Pieternella E Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Max Planck Institute for the Biology of Ageing, Cologne, Germany
| | - Erik B van den Akker
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Leiden Computational Biology Center, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands; Delft Bioinformatics Lab, TU Delft, Delft, the Netherlands.
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2
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Tomusiak A, Floro A, Tiwari R, Riley R, Matsui H, Andrews N, Kasler HG, Verdin E. Development of an epigenetic clock resistant to changes in immune cell composition. Commun Biol 2024; 7:934. [PMID: 39095531 PMCID: PMC11297166 DOI: 10.1038/s42003-024-06609-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 07/14/2024] [Indexed: 08/04/2024] Open
Abstract
Epigenetic clocks are age predictors that use machine-learning models trained on DNA CpG methylation values to predict chronological or biological age. Increases in predicted epigenetic age relative to chronological age (epigenetic age acceleration) are connected to aging-associated pathologies, and changes in epigenetic age are linked to canonical aging hallmarks. However, epigenetic clocks rely on training data from bulk tissues whose cellular composition changes with age. Here, we found that human naive CD8+ T cells, which decrease in frequency during aging, exhibit an epigenetic age 15-20 years younger than effector memory CD8+ T cells from the same individual. Importantly, homogenous naive T cells isolated from individuals of different ages show a progressive increase in epigenetic age, indicating that current epigenetic clocks measure two independent variables, aging and immune cell composition. To isolate the age-associated cell intrinsic changes, we created an epigenetic clock, the IntrinClock, that did not change among 10 immune cell types tested. IntrinClock shows a robust predicted epigenetic age increase in a model of replicative senescence in vitro and age reversal during OSKM-mediated reprogramming.
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Affiliation(s)
- Alan Tomusiak
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA
- Department of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, 90089, CA, USA
| | - Ariel Floro
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA
- Department of Gerontology, University of Southern California, 3715 McClintock Ave, Los Angeles, 90089, CA, USA
| | - Ritesh Tiwari
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA
| | - Rebeccah Riley
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA
| | - Hiroyuki Matsui
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA
| | - Nicolas Andrews
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA
| | - Herbert G Kasler
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA
| | - Eric Verdin
- Buck Institute for Research on Aging, 8001 Redwood Blvd, Novato, 94945, CA, USA.
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3
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Yusipov I, Kalyakulina A, Trukhanov A, Franceschi C, Ivanchenko M. Map of epigenetic age acceleration: A worldwide analysis. Ageing Res Rev 2024; 100:102418. [PMID: 39002646 DOI: 10.1016/j.arr.2024.102418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/03/2024] [Accepted: 07/08/2024] [Indexed: 07/15/2024]
Abstract
We present a systematic analysis of epigenetic age acceleration based on by far the largest collection of publicly available DNA methylation data for healthy samples (93 datasets, 23 K samples), focusing on the geographic (25 countries) and ethnic (31 ethnicities) aspects around the world. We employed the most popular epigenetic tools for assessing age acceleration and examined their quality metrics and ability to extrapolate to epigenetic data from different tissue types and age ranges different from the training data of these models. In most cases, the models proved to be inconsistent with each other and showed different signs of age acceleration, with the PhenoAge model tending to systematically underestimate and different versions of the GrimAge model tending to systematically overestimate the age prediction of healthy subjects. Referring to data availability and consistency, most countries and populations are still not represented in GEO, moreover, different datasets use different criteria for determining healthy controls. Because of this, it is difficult to fully isolate the contribution of "geography/environment", "ethnicity" and "healthiness" to epigenetic age acceleration. Among the explored metrics, only the DunedinPACE, which measures aging rate, appears to adequately reflect the standard of living and socioeconomic indicators in countries, although it has a limited application to blood methylation data only. Invariably, by epigenetic age acceleration, males age faster than females in most of the studied countries and populations.
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Affiliation(s)
- Igor Yusipov
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Alena Kalyakulina
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Arseniy Trukhanov
- Mriya Life Institute, National Academy of Active Longevity, Moscow 124489, Russia.
| | - Claudio Franceschi
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Mikhail Ivanchenko
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
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4
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Lee HS, Kim B, Park T. Genome- and epigenome-wide association studies identify susceptibility of CpG sites and regions for metabolic syndrome in a Korean population. Clin Epigenetics 2024; 16:60. [PMID: 38685121 PMCID: PMC11059751 DOI: 10.1186/s13148-024-01671-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 04/13/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND While multiple studies have investigated the relationship between metabolic syndrome (MetS) and its related traits (fasting glucose, triglyceride, HDL cholesterol, blood pressure, waist circumference) and DNA methylation, our understanding of the epigenetic mechanisms in MetS remains limited. Therefore, we performed an epigenome-wide meta-analysis of blood DNA methylation to identify differentially methylated probes (DMPs) and differentially methylated regions (DMRs) associated with MetS and its components using two independent cohorts comprising a total of 2,334 participants. We also investigated the specific genetic effects on DNA methylation, identified methylation quantitative trait loci (meQTLs) through genome-wide association studies and further utilized Mendelian randomization (MR) to assess how these meQTLs subsequently influence MetS status. RESULTS We identified 40 DMPs and 27 DMRs that are significantly associated with MetS. In addition, we identified many novel DMPs and DMRs underlying inflammatory and steroid hormonal processes. The most significant associations were observed in 3 DMPs (cg19693031, cg26974062, cg02988288) and a DMR (chr1:145440444-145441553) at the TXNIP, which are involved in lipid metabolism. These CpG sites were identified as coregulators of DNA methylation in MetS, TG and FAG levels. We identified a total of 144 cis-meQTLs, out of which only 13 were found to be associated with DMPs for MetS. Among these, we confirmed the identified causal mediators of genetic effects at CpG sites cg01881899 at ABCG1 and cg00021659 at the TANK genes for MetS. CONCLUSIONS This study observed whether specific CpGs and methylated regions act independently or are influenced by genetic effects for MetS and its components in the Korean population. These associations between the identified DNA methylation and MetS, along with its individual components, may serve as promising targets for the development of preventive interventions for MetS.
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Affiliation(s)
- Ho-Sun Lee
- Forensic Toxicology Division, Daegu Institute, National Forensic Service, Chilgok-gun, 39872, Gyeongsangbuk-do, Korea.
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Korea.
| | - Boram Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Korea
| | - Taesung Park
- Forensic Toxicology Division, Daegu Institute, National Forensic Service, Chilgok-gun, 39872, Gyeongsangbuk-do, Korea
- Department of Statistics, Seoul National University, Seoul, 08826, Korea
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5
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Wang Z, Fu G, Ma G, Wang C, Wang Q, Lu C, Fu L, Zhang X, Cong B, Li S. The association between DNA methylation and human height and a prospective model of DNA methylation-based height prediction. Hum Genet 2024; 143:401-421. [PMID: 38507014 DOI: 10.1007/s00439-024-02659-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/13/2024] [Indexed: 03/22/2024]
Abstract
As a vital anthropometric characteristic, human height information not only helps to understand overall developmental status and genetic risk factors, but is also important for forensic DNA phenotyping. We utilized linear regression analysis to test the association between each CpG probe and the height phenotype. Next, we designed a methylation sequencing panel targeting 959 CpGs and subsequent height inference models were constructed for the Chinese population. A total of 11,730 height-associated sites were identified. By employing KPCA and deep neural networks, a prediction model was developed, of which the cross-validation RMSE, MAE and R2 were 5.62 cm, 4.45 cm and 0.64, respectively. Genetic factors could explain 39.4% of the methylation level variance of sites used in the height inference models. Collectively, we demonstrated an association between height and DNA methylation status through an EWAS analysis. Targeted methylation sequencing of only 959 CpGs combined with deep learning techniques could provide a model to estimate human height with higher accuracy than SNP-based prediction models.
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Affiliation(s)
- Zhonghua Wang
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Guangping Fu
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Guanju Ma
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Chunyan Wang
- Physical Examination Center of Shijiazhuang People's Hospital, Shijiazhuang, 050011, Hebei, China
| | - Qian Wang
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Chaolong Lu
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Lihong Fu
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Xiaojing Zhang
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Bin Cong
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China
| | - Shujin Li
- College of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, Shijiazhuang, 050017, Hebei, China.
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6
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Derakhshan M, Kessler NJ, Hellenthal G, Silver MJ. Metastable epialleles in humans. Trends Genet 2024; 40:52-68. [PMID: 38000919 DOI: 10.1016/j.tig.2023.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 11/26/2023]
Abstract
First identified in isogenic mice, metastable epialleles (MEs) are loci where the extent of DNA methylation (DNAm) is variable between individuals but correlates across tissues derived from different germ layers within a given individual. This property, termed systemic interindividual variation (SIV), is attributed to stochastic methylation establishment before germ layer differentiation. Evidence suggests that some putative human MEs are sensitive to environmental exposures in early development. In this review we introduce key concepts pertaining to human MEs, describe methods used to identify MEs in humans, and review their genomic features. We also highlight studies linking DNAm at putative human MEs to early environmental exposures and postnatal (including disease) phenotypes.
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Affiliation(s)
- Maria Derakhshan
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Noah J Kessler
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK
| | | | - Matt J Silver
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; Medical Research Council (MRC) Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Banjul, The Gambia.
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7
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Ohlei O, Sommerer Y, Dobricic V, Homann J, Deecke L, Schilling M, Bartrés-Faz D, Cattaneo G, Düzel S, Fjell AM, Lindenberger U, Pascual-Leone Á, Sedghpour Sabet S, Solé-Padullés C, Tormos JM, Vetter VM, Walhovd KB, Wesse T, Wittig M, Franke A, Demuth I, Lill CM, Bertram L. Genome-wide QTL mapping across three tissues highlights several Alzheimer's and Parkinson's disease loci potentially acting via DNA methylation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.22.23300365. [PMID: 38196633 PMCID: PMC10775408 DOI: 10.1101/2023.12.22.23300365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
DNA methylation (DNAm) is an epigenetic mark with essential roles in disease development and predisposition. Here, we created genome-wide maps of methylation quantitative trait loci (meQTL) in three peripheral tissues and used Mendelian randomization (MR) analyses to assess the potential causal relationships between DNAm and risk for two common neurodegenerative disorders, i.e. Alzheimer's disease (AD) and Parkinson's disease (PD). Genome-wide single nucleotide polymorphism (SNP; ~5.5M sites) and DNAm (~850K CpG sites) data were generated from whole blood (n=1,058), buccal (n=1,527) and saliva (n=837) specimens. We identified between 11 and 15 million genome-wide significant (p<10-14) SNP-CpG associations in each tissue. Combining these meQTL GWAS results with recent AD/PD GWAS summary statistics by MR strongly suggests that the previously described associations between PSMC3, PICALM, and TSPAN14 and AD may be founded on differential DNAm in or near these genes. In addition, there is strong, albeit less unequivocal, support for causal links between DNAm at PRDM7 in AD as well as at KANSL1/MAPT in AD and PD. Our study adds valuable insights on AD/PD pathogenesis by combining two high-resolution "omics" domains, and the meQTL data shared along with this publication will allow like-minded analyses in other diseases.
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Affiliation(s)
- Olena Ohlei
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Yasmine Sommerer
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Jan Homann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Laura Deecke
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Marcel Schilling
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
- Gene Regulation of Cell Identity, Regenerative Medicine Program, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, Barcelona, Spain
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Gabriele Cattaneo
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
- Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Camí de les Escoles, Badalona, Barcelona, Spain
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Álvaro Pascual-Leone
- Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, USA
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Sanaz Sedghpour Sabet
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Cristina Solé-Padullés
- Department of Medicine, Faculty of Medicine and Health Sciences, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Josep M Tormos
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
- Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Camí de les Escoles, Badalona, Barcelona, Spain
| | - Valentin M Vetter
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases, Division of Lipid Metabolism, Charité-Universitätsmedizin Berlin (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin), Berlin, Germany
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Tanja Wesse
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Michael Wittig
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, Kiel, Germany
| | - Ilja Demuth
- Biology of Aging Working Group, Department of Endocrinology and Metabolic Diseases, Division of Lipid Metabolism, Charité-Universitätsmedizin Berlin (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin), Berlin, Germany
- Berlin Institute of Health Center for Regenerative Therapies, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Christina M Lill
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
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8
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Saunderson EA, Encabo HH, Devis J, Rouault-Pierre K, Piganeau M, Bell CG, Gribben JG, Bonnet D, Ficz G. CRISPR/dCas9 DNA methylation editing is heritable during human hematopoiesis and shapes immune progeny. Proc Natl Acad Sci U S A 2023; 120:e2300224120. [PMID: 37579157 PMCID: PMC10450654 DOI: 10.1073/pnas.2300224120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 06/26/2023] [Indexed: 08/16/2023] Open
Abstract
Aging is associated with an abnormal increase in DNA methylation (DNAm) in human gene promoters, including in bone marrow stem cells. DNAm patterns are further perturbed in hematological malignancies such as acute myeloid leukemia but the physiological significance of such epigenetic changes is unknown. Using epigenetic editing of human stem/progenitor cells (HSPCs), we show that p15 methylation affects hematopoiesis in vivo. We edited the CDKN2B (p15) promoter and ARF (p14) using dCas9-3A3L and observed DNAm spreading beyond the gRNA location. We find that despite a transient delivery system, DNAm is maintained during myeloid differentiation in vitro, and hypermethylation of the p15 promoter reduces gene expression. In vivo, edited human HSPCs can engraft the bone marrow of mice and targeted DNAm is maintained in HSPCs long term. Moreover, epigenetic changes are conserved and inherited in both myeloid and lymphoid lineages. Although the proportion of myeloid (CD33+) and lymphoid (CD19+) cells is unaffected, monocyte (CD14+) populations decreased and granulocytes (CD66b+) increased in mice engrafted with p15 hypermethylated HSPCs. Monocytes derived from p15 hypermethylated HSPCs appear to be activated and show increased inflammatory transcriptional programs. We believe these findings have clinical relevance since we found p15 promoter methylation in the peripheral blood of patients with clonal hematopoiesis. Our study shows DNAm can be targeted and maintained in human HSPCs and demonstrated functional relevance of aberrant DNAm on the p15 locus. As such, other aging-associated aberrant DNAm may impact hematopoiesis in vivo.
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Affiliation(s)
- Emily A. Saunderson
- Centre for Haemato-Oncology, Barts Cancer Institute, John Vane Science Centre, Charterhouse Square, Queen Mary University of London, LondonEC1M 6BQ, United Kingdom
| | - Hector Huerga Encabo
- Haematopoietic Stem Cell Laboratory, Francis Crick Institute, LondonNW1 1AT, United Kingdom
| | - Julie Devis
- Group of Computational Biology and Bioinformatics, de Duve Institute, Université Catholique de Louvain, Brussels1200, Belgium
| | - Kevin Rouault-Pierre
- Centre for Haemato-Oncology, Barts Cancer Institute, John Vane Science Centre, Charterhouse Square, Queen Mary University of London, LondonEC1M 6BQ, United Kingdom
| | - Marion Piganeau
- Haematopoietic Stem Cell Laboratory, Francis Crick Institute, LondonNW1 1AT, United Kingdom
| | - Christopher G. Bell
- William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, LondonEC1M 6BQ, United Kingdom
| | - John G. Gribben
- Centre for Haemato-Oncology, Barts Cancer Institute, John Vane Science Centre, Charterhouse Square, Queen Mary University of London, LondonEC1M 6BQ, United Kingdom
| | - Dominique Bonnet
- Haematopoietic Stem Cell Laboratory, Francis Crick Institute, LondonNW1 1AT, United Kingdom
| | - Gabriella Ficz
- Centre for Haemato-Oncology, Barts Cancer Institute, John Vane Science Centre, Charterhouse Square, Queen Mary University of London, LondonEC1M 6BQ, United Kingdom
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Del Rocío Pérez Baca M, Jacobs EZ, Vantomme L, Leblanc P, Bogaert E, Dheedene A, De Cock L, Haghshenas S, Foroutan A, Levy MA, Kerkhof J, McConkey H, Chen CA, Batzir NA, Wang X, Palomares M, Carels M, Demaut B, Sadikovic B, Menten B, Yuan B, Vergult S, Callewaert B. A novel neurodevelopmental syndrome caused by loss-of-function of the Zinc Finger Homeobox 3 (ZFHX3) gene. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.22.23289895. [PMID: 37292950 PMCID: PMC10246128 DOI: 10.1101/2023.05.22.23289895] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Neurodevelopmental disorders (NDDs) result from impaired development and functioning of the brain. Here, we identify loss-of-function variation in ZFHX3 as a novel cause for syndromic intellectual disability (ID). ZFHX3, previously known as ATBF1, is a zinc-finger homeodomain transcription factor involved in multiple biological processes including cell differentiation and tumorigenesis. Through international collaboration, we collected clinical and morphometric data (Face2Gene) of 41 individuals with protein truncating variants (PTVs) or (partial) deletions of ZFHX3 . We used data mining, RNA and protein analysis to identify the subcellular localization and spatiotemporal expression of ZFHX3 in multiple in vitro models. We identified the DNA targets of ZFHX3 using ChIP seq. Immunoprecipitation followed by mass spectrometry indicated potential binding partners of endogenous ZFHX3 in neural stem cells that were subsequently confirmed by reversed co-immunoprecipitation and western blot. We evaluated a DNA methylation profile associated with ZFHX3 haploinsufficiency using DNA methylation analysis on whole blood extracted DNA of six individuals with ZFHX3 PTVs and four with a (partial) deletion of ZFHX3 . A reversed genetic approach characterized the ZFHX3 orthologue in Drosophila melanogaster . Loss-of-function variation of ZFHX3 consistently associates with (mild) ID and/or behavioural problems, postnatal growth retardation, feeding difficulties, and recognizable facial characteristics, including the rare occurrence of cleft palate. Nuclear abundance of ZFHX3 increases during human brain development and neuronal differentiation in neural stem cells and SH-SY5Y cells, ZFHX3 interacts with the chromatin remodelling BRG1/Brm-associated factor complex and the cleavage and polyadenylation complex. In line with a role for chromatin remodelling, ZFHX3 haploinsufficiency associates with a specific DNA methylation profile in leukocyte-derived DNA. The target genes of ZFHX3 are implicated in neuron and axon development. In Drosophila melanogaster , z fh2, considered to be the ZFHX3 orthologue, is expressed in the third instar larval brain. Ubiquitous and neuron-specific knockdown of zfh2 results in adult lethality underscoring a key role for zfh2 in development and neurodevelopment. Interestingly, ectopic expression of zfh2 as well as ZFHX3 in the developing wing disc results in a thoracic cleft phenotype. Collectively, our data shows that loss-of-function variants in ZFHX3 are a cause of syndromic ID, that associates with a specific DNA methylation profile. Furthermore, we show that ZFHX3 participates in chromatin remodelling and mRNA processing.
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Rai S, Leydier L, Sharma S, Katwala J, Sahu A. A quest for genetic causes underlying signaling pathways associated with neural tube defects. Front Pediatr 2023; 11:1126209. [PMID: 37284286 PMCID: PMC10241075 DOI: 10.3389/fped.2023.1126209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/28/2023] [Indexed: 06/08/2023] Open
Abstract
Neural tube defects (NTDs) are serious congenital deformities of the nervous system that occur owing to the failure of normal neural tube closures. Genetic and non-genetic factors contribute to the etiology of neural tube defects in humans, indicating the role of gene-gene and gene-environment interaction in the occurrence and recurrence risk of neural tube defects. Several lines of genetic studies on humans and animals demonstrated the role of aberrant genes in the developmental risk of neural tube defects and also provided an understanding of the cellular and morphological programs that occur during embryonic development. Other studies observed the effects of folate and supplementation of folic acid on neural tube defects. Hence, here we review what is known to date regarding altered genes associated with specific signaling pathways resulting in NTDs, as well as highlight the role of various genetic, and non-genetic factors and their interactions that contribute to NTDs. Additionally, we also shine a light on the role of folate and cell adhesion molecules (CAMs) in neural tube defects.
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Affiliation(s)
- Sunil Rai
- Department of Molecular Biology, Medical University of the Americas, Charlestown, Saint Kitts and Nevis
| | - Larissa Leydier
- Department of Molecular Biology, Medical University of the Americas, Charlestown, Saint Kitts and Nevis
| | - Shivani Sharma
- Department of Molecular Biology, Medical University of the Americas, Charlestown, Saint Kitts and Nevis
| | - Jigar Katwala
- Department of Molecular Biology, Medical University of the Americas, Charlestown, Saint Kitts and Nevis
| | - Anurag Sahu
- Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India
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11
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Pavani G, Malhotra PK, Verma SK. Flowering in sugarcane-insights from the grasses. 3 Biotech 2023; 13:154. [PMID: 37138783 PMCID: PMC10149435 DOI: 10.1007/s13205-023-03573-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 04/19/2023] [Indexed: 05/05/2023] Open
Abstract
Flowering is a crucial phase for angiosperms to continue their species propagation and is highly regulated. In the current review, flowering in sugarcane and the associated mechanisms are elaborately presented. In sugarcane, flowering has two effects, wherein it is a beneficial factor from the breeder's perspective and crucial for crop improvement, but commercially, it depletes the sucrose reserves from the stalks; hence, less value is assigned. Different species of Saccharum genus are spread across geographical latitudes, thereby proving their ability to grow in multiple inductive daylengths of different locations according in the habituated zone. In general, sugarcane is termed an intermediate daylength plant with quantitative short-day behaviour as it requires reduction in daylength from 12 h 55 min to 12 h or 12 h 30 min. The prime concern in sugarcane flowering is its erratic flowering nature. The transition to reproductive stage which reverts to vegetative stage if there is any deviation from ambient temperature and light is also an issue. Spatial and temporal gene expression patterns during vegetative to reproductive stage transition and after reverting to vegetative state could possibly reveal how the genetic circuits are being governed. This review will also shed a light on potential roles of genes and/or miRNAs in flowering in sugarcane. Knowledge of transcriptomic background of circadian, photoperiod, and gibberellin pathways in sugarcane will enable us to better understand of variable response in floral development.
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Affiliation(s)
- Gongati Pavani
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004 India
| | - Pawan Kumar Malhotra
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, 141004 India
| | - Sandeep Kumar Verma
- Institute of Biological Science, SAGE University, Bypass Road, Kailod Kartal, Indore, Madhya Pradesh 452020 India
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12
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Vu HTH, Scott RL, Iqbal K, Soares MJ, Tuteja G. CORE CONSERVED TRANSCRIPTIONAL REGULATORY NETWORKS DEFINE THE INVASIVE TROPHOBLAST CELL LINEAGE. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.30.534962. [PMID: 37066272 PMCID: PMC10103937 DOI: 10.1101/2023.03.30.534962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
The invasive trophoblast cell lineage in rat and human share crucial responsibilities in establishing the uterine-placental interface of the hemochorial placenta. These observations have led to the rat becoming an especially useful animal model to study hemochorial placentation. However, our understanding of similarities or differences between regulatory mechanisms governing rat and human invasive trophoblast cell populations is limited. In this study, we generated single-nucleus (sn) ATAC-seq data from gestation day (gd) 15.5 and 19.5 rat uterine-placental interface tissues and integrated the data with single-cell RNA-seq data generated at the same stages. We determined the chromatin accessibility profiles of invasive trophoblast, natural killer, macrophage, endothelial, and smooth muscle cells, and compared invasive trophoblast chromatin accessibility to extravillous trophoblast (EVT) cell accessibility. In comparing chromatin accessibility profiles between species, we found similarities in patterns of gene regulation and groups of motifs enriched in accessible regions. Finally, we identified a conserved gene regulatory network in invasive trophoblast cells. Our data, findings and analysis will facilitate future studies investigating regulatory mechanisms essential for the invasive trophoblast cell lineage.
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Affiliation(s)
- Ha T. H. Vu
- Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA, 50011
- Bioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, IA 50011
| | - Regan L. Scott
- Institute for Reproductive and Developmental Sciences and Department of Pathology & Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, 66160
| | - Khursheed Iqbal
- Institute for Reproductive and Developmental Sciences and Department of Pathology & Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, 66160
| | - Michael J. Soares
- Institute for Reproductive and Developmental Sciences and Department of Pathology & Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, 66160
- Department of Obstetrics and Gynecology, University of Kansas Medical Center, Kansas City, KS, 66160
- Center for Perinatal Research, Children’s Mercy Research Institute, Children’s Mercy, Kansas City, MO, 64108
| | - Geetu Tuteja
- Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA, 50011
- Bioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, IA 50011
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13
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Merrill SM, Gladish N, Fu MP, Moore SR, Konwar C, Giesbrecht GF, MacIssac JL, Kobor MS, Letourneau NL. Associations of peripheral blood DNA methylation and estimated monocyte proportion differences during infancy with toddler attachment style. Attach Hum Dev 2023; 25:132-161. [PMID: 34196256 DOI: 10.1080/14616734.2021.1938872] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Attachment is a motivational system promoting felt security to a caregiver resulting in a persistent internal working model of interpersonal behavior. Attachment styles are developed in early social environments and predict future health and development outcomes with potential biological signatures, such as epigenetic modifications like DNA methylation (DNAm). Thus, we hypothesized infant DNAm would associate with toddler attachment styles. An epigenome-wide association study (EWAS) of blood DNAm from 3-month-old infants was regressed onto children's attachment style from the Strange Situation Procedure at 22-months at multiple DNAm Cytosine-phosphate-Guanine (CpG) sites. The 26 identified CpGs associated with proinflammatory immune phenotypes and cognitive development. In post-hoc analyses, only maternal cognitive-growth fostering, encouraging intellectual exploration, contributed. For disorganized children, DNAm-derived cell-type proportions estimated higher monocytes -cells in immune responses hypothesized to increase with early adversity. Collectively, these findings suggested the potential biological embedding of both adverse and advantageous social environments as early as 3-months-old.
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Affiliation(s)
- Sarah M Merrill
- BC Children's Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
| | - Nicole Gladish
- BC Children's Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
| | - Maggie P Fu
- BC Children's Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
| | - Sarah R Moore
- BC Children's Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
| | - Chaini Konwar
- BC Children's Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
| | - Gerald F Giesbrecht
- Department of Pediatrics, University of Calgary, Calgary, Canada.,Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada
| | - Julia L MacIssac
- BC Children's Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
| | - Michael S Kobor
- BC Children's Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, Canada.,Program in Child and Brain Development, CIFAR, Toronto, Canada
| | - Nicole L Letourneau
- Department of Pediatrics, University of Calgary, Calgary, Canada.,Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada.,Department of Psychiatry, University of Calgary, Calgary, Canada.,Faculty of Nursing, University of Calgary, Calgary, Canada
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14
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Chan MHM, Merrill SM, Konwar C, Kobor MS. An integrative framework and recommendations for the study of DNA methylation in the context of race and ethnicity. DISCOVER SOCIAL SCIENCE AND HEALTH 2023; 3:9. [PMID: 37122633 PMCID: PMC10118232 DOI: 10.1007/s44155-023-00039-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 03/27/2023] [Indexed: 05/02/2023]
Abstract
Human social epigenomics research is critical to elucidate the intersection of social and genetic influences underlying racial and ethnic differences in health and development. However, this field faces major challenges in both methodology and interpretation with regard to disentangling confounded social and biological aspects of race and ethnicity. To address these challenges, we discuss how these constructs have been approached in the past and how to move forward in studying DNA methylation (DNAm), one of the best-characterized epigenetic marks in humans, in a responsible and appropriately nuanced manner. We highlight self-reported racial and ethnic identity as the primary measure in this field, and discuss its implications in DNAm research. Racial and ethnic identity reflects the biological embedding of an individual's sociocultural experience and environmental exposures in combination with the underlying genetic architecture of the human population (i.e., genetic ancestry). Our integrative framework demonstrates how to examine DNAm in the context of race and ethnicity, while considering both intrinsic factors-including genetic ancestry-and extrinsic factors-including structural and sociocultural environment and developmental niches-when focusing on early-life experience. We reviewed DNAm research in relation to health disparities given its relevance to race and ethnicity as social constructs. Here, we provide recommendations for the study of DNAm addressing racial and ethnic differences, such as explicitly acknowledging the self-reported nature of racial and ethnic identity, empirically examining the effects of genetic variants and accounting for genetic ancestry, and investigating race-related and culturally regulated environmental exposures and experiences. Supplementary Information The online version contains supplementary material available at 10.1007/s44155-023-00039-z.
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Affiliation(s)
- Meingold Hiu-ming Chan
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC Canada
- British Columbia Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC Canada
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Sarah M. Merrill
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC Canada
- British Columbia Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC Canada
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Chaini Konwar
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC Canada
- British Columbia Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC Canada
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Michael S. Kobor
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC Canada
- British Columbia Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC Canada
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
- Edwin S. H. Leong Healthy Aging Program, Faculty of Medicine, University of British Columbia, Vancouver, BC Canada
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15
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Childhood Trauma and Epigenetics: State of the Science and Future. Curr Environ Health Rep 2022; 9:661-672. [PMID: 36242743 DOI: 10.1007/s40572-022-00381-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/22/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW There is a great deal of interest regarding the biological embedding of childhood trauma and social exposures through epigenetic mechanisms, including DNA methylation (DNAm), but a comprehensive understanding has been hindered by issues of limited reproducibility between studies. This review presents a summary of the literature on childhood trauma and DNAm, highlights issues in the field, and proposes some potential solutions. RECENT FINDINGS Investigations of the associations between DNAm and childhood trauma are commonly performed using candidate gene approaches, specifically involving genes related to neurological and stress pathways. Childhood trauma is defined in a wide range of ways in several societal contexts. However, although variations in DNAm are frequently found in stress-related genes, unsupervised epigenome-wide association studies (EWAS) have shown limited reproducibility both between studies and in relating these changes to exposures. The reproducibility of childhood trauma DNAm studies, and the field of social epigenetics in general, may be improved by increasing sample sizes, standardizing variables, making use of effect size thresholds, collecting longitudinal and intervention samples, appropriately accounting for known confounding factors, and applying causal analysis wherever possible, such as "two-step epigenetic Mendelian randomization."
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16
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Lussier AA, Zhu Y, Smith BJ, Simpkin AJ, Smith AD, Suderman MJ, Walton E, Ressler KJ, Dunn EC. Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies. Epigenetics 2022; 17:1373-1388. [PMID: 35156895 PMCID: PMC9601563 DOI: 10.1080/15592294.2022.2028072] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 12/02/2021] [Accepted: 01/04/2022] [Indexed: 11/03/2022] Open
Abstract
Biomedical research has grown increasingly cooperative through the sharing of consortia-level epigenetic data. Since consortia preprocess data prior to distribution, new processing pipelines can lead to different versions of the same dataset. Similarly, analytic frameworks evolve to incorporate cutting-edge methods and best practices. However, it remains unknown how different data and analytic versions alter the results of epigenome-wide analyses, which could influence the replicability of epigenetic associations. Thus, we assessed the impact of these changes using data from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. We analysed DNA methylation from two data versions, processed using separate preprocessing and analytic pipelines, examining associations between seven childhood adversities or prenatal smoking exposure and DNA methylation at age 7. We performed two sets of analyses: (1) epigenome-wide association studies (EWAS); (2) Structured Life Course Modelling Approach (SLCMA), a two-stage method that models time-dependent effects. SLCMA results were also compared across two analytic versions. Data version changes impacted both EWAS and SLCMA analyses, yielding different associations at conventional p-value thresholds. However, the magnitude and direction of associations was generally consistent between data versions, regardless of p-values. Differences were especially apparent in analyses of childhood adversity, while smoking associations were more consistent using significance thresholds. SLCMA analytic versions similarly altered top associations, but time-dependent effects remained concordant. Alterations to data and analytic versions influenced the results of epigenome-wide analyses. Our findings highlight that magnitude and direction are better measures for replication and stability than p-value thresholds.
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Affiliation(s)
- Alexandre A. Lussier
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Yiwen Zhu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brooke J. Smith
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew J. Simpkin
- School of Mathematics,Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland
| | - Andrew D.A.C. Smith
- Mathematics and Statistics Research Group, University of the West of England, Bristol, UK
| | - Matthew J. Suderman
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, UK
| | - Kerry J. Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Hospital, Belmont, MA, USA
| | - Erin C. Dunn
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Center on the Developing Child, Harvard University, Cambridge, MA, USA
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17
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Bowler S, Papoutsoglou G, Karanikas A, Tsamardinos I, Corley MJ, Ndhlovu LC. A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity. Sci Rep 2022; 12:17480. [PMID: 36261477 PMCID: PMC9580434 DOI: 10.1038/s41598-022-22201-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 10/11/2022] [Indexed: 01/12/2023] Open
Abstract
Since the onset of the COVID-19 pandemic, increasing cases with variable outcomes continue globally because of variants and despite vaccines and therapies. There is a need to identify at-risk individuals early that would benefit from timely medical interventions. DNA methylation provides an opportunity to identify an epigenetic signature of individuals at increased risk. We utilized machine learning to identify DNA methylation signatures of COVID-19 disease from data available through NCBI Gene Expression Omnibus. A training cohort of 460 individuals (164 COVID-19-infected and 296 non-infected) and an external validation dataset of 128 individuals (102 COVID-19-infected and 26 non-COVID-associated pneumonia) were reanalyzed. Data was processed using ChAMP and beta values were logit transformed. The JADBio AutoML platform was leveraged to identify a methylation signature associated with severe COVID-19 disease. We identified a random forest classification model from 4 unique methylation sites with the power to discern individuals with severe COVID-19 disease. The average area under the curve of receiver operator characteristic (AUC-ROC) of the model was 0.933 and the average area under the precision-recall curve (AUC-PRC) was 0.965. When applied to our external validation, this model produced an AUC-ROC of 0.898 and an AUC-PRC of 0.864. These results further our understanding of the utility of DNA methylation in COVID-19 disease pathology and serve as a platform to inform future COVID-19 related studies.
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Affiliation(s)
- Scott Bowler
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, 413 E 69th St, New York, NY, 10021, USA
| | - Georgios Papoutsoglou
- JADBio - Gnosis DA S.A, Science and Technology Park of Crete, 70013, Heraklion, Greece
| | - Aristides Karanikas
- JADBio - Gnosis DA S.A, Science and Technology Park of Crete, 70013, Heraklion, Greece
| | - Ioannis Tsamardinos
- JADBio - Gnosis DA S.A, Science and Technology Park of Crete, 70013, Heraklion, Greece
- Department of Computer Science, University of Crete, 70013, Heraklion, Greece
| | - Michael J Corley
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, 413 E 69th St, New York, NY, 10021, USA
| | - Lishomwa C Ndhlovu
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, 413 E 69th St, New York, NY, 10021, USA.
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18
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Bilha SC, Teodoriu L, Velicescu C, Caba L. Pituitary hypoplasia and growth hormone deficiency in a patient with Coffin-Siris syndrome and severe short stature: case report and literature review. Arch Clin Cases 2022; 9:121-125. [PMID: 36176497 PMCID: PMC9512126 DOI: 10.22551/2022.36.0903.10216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Coffin-Siris syndrome (CSS) is a rare genetic disorder caused by the haploinsufficiency of one of the various genes that are part of the Brahma/BRG1-associated factor (BAF) complex. The BAF complex is one of the chromatin remodeling complexes, involved in embryonic and neural development, and various gene mutations are associated with cognitive impairment. CSS has a highly variable genotype and phenotype expression, thus lacking standardized criteria for diagnosis. It is generally accepted to associate 5th digit/nail hypoplasia, intellectual disability (ID)/developmental delay and specific coarse facial features. CSS patients usually display miscellaneous cardiac, genitourinary and central nervous system (CNS) anomalies. Many patients also associate intrauterine growth restriction, failure to thrive and short stature, with several cases demonstrating growth hormone deficiency (GHD). We report the case of a 4-year-old girl with severe short stature (-3.2 standard deviations) due to pituitary hypoplasia and GHD that associated hypoplastic distal phalanx of the 5th digit in the hands and feet, severe ID, coarse facial features (bushy eyebrows, bulbous nose, flat nasal bridge, dental anomalies, thick lips, dental anomalies, bilateral epicanthal fold) and CNS anomalies (agenesis of the corpus callosum and bilateral hippocampal atrophy), thus meeting clinical criteria for the diagnosis of CSS. Karyotype was 46,XX. The patient was started on GH replacement therapy, with favorable outcomes. Current practical knowledge regarding CSS diagnosis and management from the endocrinological point of view is also reviewed.
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Affiliation(s)
- Stefana Catalina Bilha
- Endocrinology Department, Grigore T. Popa University of Medicine and Pharmacy Iasi, Romania
| | - Laura Teodoriu
- Endocrinology Department, Grigore T. Popa University of Medicine and Pharmacy Iasi, Romania
| | - Cristian Velicescu
- Surgery Department, Grigore T. Popa University of Medicine and Pharmacy Iasi, Romania.,
Corresponding author: Cristian Velicescu, Surgery Department, Grigore T. Popa University of Medicine and Pharmacy, 16 Universitatii str. Iasi 700115, Romania.
| | - Lavinia Caba
- Department of Medical Genetics, Grigore T. Popa University of Medicine and Pharmacy Iasi, Romania
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19
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Schaffner SL, Kobor MS. DNA methylation as a mediator of genetic and environmental influences on Parkinson's disease susceptibility: Impacts of alpha-Synuclein, physical activity, and pesticide exposure on the epigenome. Front Genet 2022; 13:971298. [PMID: 36061205 PMCID: PMC9437223 DOI: 10.3389/fgene.2022.971298] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 07/25/2022] [Indexed: 12/15/2022] Open
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder with a complex etiology and increasing prevalence worldwide. As PD is influenced by a combination of genetic and environment/lifestyle factors in approximately 90% of cases, there is increasing interest in identification of the interindividual mechanisms underlying the development of PD as well as actionable lifestyle factors that can influence risk. This narrative review presents an outline of the genetic and environmental factors contributing to PD risk and explores the possible roles of cytosine methylation and hydroxymethylation in the etiology and/or as early-stage biomarkers of PD, with an emphasis on epigenome-wide association studies (EWAS) of PD conducted over the past decade. Specifically, we focused on variants in the SNCA gene, exposure to pesticides, and physical activity as key contributors to PD risk. Current research indicates that these factors individually impact the epigenome, particularly at the level of CpG methylation. There is also emerging evidence for interaction effects between genetic and environmental contributions to PD risk, possibly acting across multiple omics layers. We speculated that this may be one reason for the poor replicability of the results of EWAS for PD reported to date. Our goal is to provide direction for future epigenetics studies of PD to build upon existing foundations and leverage large datasets, new technologies, and relevant statistical approaches to further elucidate the etiology of this disease.
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Affiliation(s)
- Samantha L. Schaffner
- Edwin S. H. Leong Healthy Aging Program, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, British Columbia Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Michael S. Kobor
- Edwin S. H. Leong Healthy Aging Program, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, British Columbia Children’s Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
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Derakhshan M, Kessler NJ, Ishida M, Demetriou C, Brucato N, Moore G, Fall CHD, Chandak GR, Ricaut FX, Prentice A, Hellenthal G, Silver M. Tissue- and ethnicity-independent hypervariable DNA methylation states show evidence of establishment in the early human embryo. Nucleic Acids Res 2022; 50:6735-6752. [PMID: 35713545 PMCID: PMC9749461 DOI: 10.1093/nar/gkac503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 05/06/2022] [Accepted: 05/27/2022] [Indexed: 12/24/2022] Open
Abstract
We analysed DNA methylation data from 30 datasets comprising 3474 individuals, 19 tissues and 8 ethnicities at CpGs covered by the Illumina450K array. We identified 4143 hypervariable CpGs ('hvCpGs') with methylation in the top 5% most variable sites across multiple tissues and ethnicities. hvCpG methylation was influenced but not determined by genetic variation, and was not linked to probe reliability, epigenetic drift, age, sex or cell heterogeneity effects. hvCpG methylation tended to covary across tissues derived from different germ-layers and hvCpGs were enriched for proximity to ERV1 and ERVK retrovirus elements. hvCpGs were also enriched for loci previously associated with periconceptional environment, parent-of-origin-specific methylation, and distinctive methylation signatures in monozygotic twins. Together, these properties position hvCpGs as strong candidates for studying how stochastic and/or environmentally influenced DNA methylation states which are established in the early embryo and maintained stably thereafter can influence life-long health and disease.
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Affiliation(s)
| | - Noah J Kessler
- Department of Genetics, University of Cambridge,
Cambridge CB2 3EH, UK
| | - Miho Ishida
- UCL Great Ormond Street Institute of Child Health, UK
| | | | - Nicolas Brucato
- Laboratoire Évolution and Diversité Biologique (EDB UMR 5174), Université
de Toulouse Midi-Pyrénées, CNRS, IRD, UPS,Toulouse, France
| | | | - Caroline H D Fall
- MRC Lifecourse Epidemiology Unit, University of Southampton,
Southampton, UK
| | - Giriraj R Chandak
- Genomic Research on Complex Diseases (GRC Group), CSIR-Centre for Cellular
and Molecular Biology,Hyderabad, India
| | - Francois-Xavier Ricaut
- Laboratoire Évolution and Diversité Biologique (EDB UMR 5174), Université
de Toulouse Midi-Pyrénées, CNRS, IRD, UPS,Toulouse, France
| | - Andrew M Prentice
- Medical Research Council Unit The Gambia at the London School of Hygiene
and Tropical Medicine, The Gambia
| | - Garrett Hellenthal
- UCL Genetics Institute, University College London,
Gower Street, London WC1E 6BT, UK
| | - Matt J Silver
- London School of Hygiene and Tropical Medicine, UK
- Medical Research Council Unit The Gambia at the London School of Hygiene
and Tropical Medicine, The Gambia
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21
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England-Mason G, Merrill SM, Gladish N, Moore SR, Giesbrecht GF, Letourneau N, MacIsaac JL, MacDonald AM, Kinniburgh DW, Ponsonby AL, Saffery R, Martin JW, Kobor MS, Dewey D. Prenatal exposure to phthalates and peripheral blood and buccal epithelial DNA methylation in infants: An epigenome-wide association study. ENVIRONMENT INTERNATIONAL 2022; 163:107183. [PMID: 35325772 DOI: 10.1016/j.envint.2022.107183] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/16/2022] [Accepted: 03/09/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Prenatal exposure to phthalates has been associated with adverse health and neurodevelopmental outcomes. DNA methylation (DNAm) alterations may be a mechanism underlying these effects, but prior investigations of prenatal exposure to phthalates and neonatal DNAm profiles are limited to placental tissue and umbilical cord blood. OBJECTIVE Conduct an epigenome-wide association study (EWAS) of the associations between prenatal exposure to phthalates and DNAm in two accessible infant tissues, venous buffy coat blood and buccal epithelial cells (BECs). METHODS Participants included 152 maternal-infant pairs from the Alberta Pregnancy Outcomes and Nutrition (APrON) study. Maternal second trimester urine samples were analyzed for nine phthalate metabolites. Blood (n = 74) or BECs (n = 78) were collected from 3-month-old infants and profiled for DNAm using the Infinium HumanMethylation450 (450K) BeadChip. Robust linear regressions were used to investigate the associations between high (HMWPs) and low molecular weight phthalates (LMWPs) and change in methylation levels at variable Cytosine-phosphate-Guanine (CpG) sites in infant tissues, as well as the sensitivity of associations to potential confounders. RESULTS One candidate CpG in gene RNF39 reported by a previous study examining prenatal exposure to phthalates and cord blood DNAm was replicated. The EWAS identified 12 high-confidence CpGs in blood and another 12 in BECs associated with HMWPs and/or LMWPs. Prenatal exposure to bisphenol A (BPA) associated with two of the CpGs associated with HMWPs in BECs. DISCUSSION Prenatal exposure to phthalates was associated with DNAm variation at CpGs annotated to genes associated with endocrine hormone activity (i.e., SLCO4A1, TPO), immune pathways and DNA damage (i.e., RASGEF1B, KAZN, HLA-A, MYO18A, DIP2C, C1or109), and neurodevelopment (i.e., AMPH, NOTCH3, DNAJC5). Future studies that characterize the stability of these associations in larger samples, multiple cohorts, across tissues, and investigate the potential associations between these biomarkers and relevant health and neurodevelopmental outcomes are needed.
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Affiliation(s)
- Gillian England-Mason
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Sarah M Merrill
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Nicole Gladish
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Sarah R Moore
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Gerald F Giesbrecht
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Department of Psychology, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Nicole Letourneau
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada; Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, Calgary, Alberta, Canada
| | - Julia L MacIsaac
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Amy M MacDonald
- Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada
| | - David W Kinniburgh
- Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Jonathan W Martin
- Science for Life Laboratory, Department of Environmental Science, Stockholm University, Stockholm, Södermanland, Sweden
| | - Michael S Kobor
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada; Program in Child and Brain Development, CIFAR, Toronto, Ontario, Canada
| | - Deborah Dewey
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, Calgary, Alberta, Canada.
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22
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Li Z, Guo W, Ding S, Feng K, Lu L, Huang T, Cai Y. Detecting Blood Methylation Signatures in Response to Childhood Cancer Radiotherapy via Machine Learning Methods. BIOLOGY 2022; 11:biology11040607. [PMID: 35453806 PMCID: PMC9030135 DOI: 10.3390/biology11040607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/09/2022] [Accepted: 04/14/2022] [Indexed: 11/16/2022]
Abstract
Radiotherapy is a helpful treatment for cancer, but it can also potentially cause changes in many molecules, resulting in adverse effects. Among these changes, the occurrence of abnormal DNA methylation patterns has alarmed scientists. To explore the influence of region-specific radiotherapy on blood DNA methylation, we designed a computational workflow by using machine learning methods that can identify crucial methylation alterations related to treatment exposure. Irrelevant methylation features from the DNA methylation profiles of 2052 childhood cancer survivors were excluded via the Boruta method, and the remaining features were ranked using the minimum redundancy maximum relevance method to generate feature lists. These feature lists were then fed into the incremental feature selection method, which uses a combination of deep forest, k-nearest neighbor, random forest, and decision tree to find the most important methylation signatures and build the best classifiers and classification rules. Several methylation signatures and rules have been discovered and confirmed, allowing for a better understanding of methylation patterns in response to different treatment exposures.
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Affiliation(s)
- Zhandong Li
- College of Food Engineering, Jilin Engineering Normal University, Changchun 130052, China;
| | - Wei Guo
- Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200025, China;
| | - Shijian Ding
- School of Life Sciences, Shanghai University, Shanghai 200444, China;
| | - Kaiyan Feng
- Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou 510507, China;
| | - Lin Lu
- Department of Radiology, Columbia University Medical Center, New York, NY 10032, USA
- Correspondence: (L.L.); (T.H.); or (Y.C.); Tel.: +86-21-54923269 (T.H.); +86-21-66136132 (Y.C.)
| | - Tao Huang
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- Correspondence: (L.L.); (T.H.); or (Y.C.); Tel.: +86-21-54923269 (T.H.); +86-21-66136132 (Y.C.)
| | - Yudong Cai
- School of Life Sciences, Shanghai University, Shanghai 200444, China;
- Correspondence: (L.L.); (T.H.); or (Y.C.); Tel.: +86-21-54923269 (T.H.); +86-21-66136132 (Y.C.)
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23
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Dixon G, Matz M. Changes in gene body methylation do not correlate with changes in gene expression in Anthozoa or Hexapoda. BMC Genomics 2022; 23:234. [PMID: 35337260 PMCID: PMC8957121 DOI: 10.1186/s12864-022-08474-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/09/2022] [Indexed: 02/07/2023] Open
Abstract
Background As human activity alters the planet, there is a pressing need to understand how organisms adapt to environmental change. Of growing interest in this area is the role of epigenetic modifications, such as DNA methylation, in tailoring gene expression to fit novel conditions. Here, we reanalyzed nine invertebrate (Anthozoa and Hexapoda) datasets to validate a key prediction of this hypothesis: changes in DNA methylation in response to some condition correlate with changes in gene expression. Results In accord with previous observations, baseline levels of gene body methylation (GBM) positively correlated with transcription, and negatively correlated with transcriptional variation between conditions. Correlations between changes in GBM and transcription, however, were negligible. There was also no consistent negative correlation between methylation and transcription at the level of gene body methylation class (either highly- or lowly-methylated), anticipated under the previously described “seesaw hypothesis”. Conclusion Our results do not support the direct involvement of GBM in regulating dynamic transcriptional responses in invertebrates. If changes in DNA methylation regulate invertebrate transcription, the mechanism must involve additional factors or regulatory influences. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08474-z.
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Affiliation(s)
- Groves Dixon
- Department of Integrative Biology, University of Texas at Austin, Austin, USA.
| | - Mikhail Matz
- Department of Integrative Biology, University of Texas at Austin, Austin, USA
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24
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Pseudotime Analysis Reveals Exponential Trends in DNA Methylation Aging with Mortality Associated Timescales. Cells 2022; 11:cells11050767. [PMID: 35269389 PMCID: PMC8909670 DOI: 10.3390/cells11050767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 02/08/2022] [Accepted: 02/14/2022] [Indexed: 01/27/2023] Open
Abstract
The epigenetic trajectory of DNA methylation profiles has a nonlinear relationship with time, reflecting rapid changes in DNA methylation early in life that progressively slow with age. In this study, we use pseudotime analysis to determine the functional form of these trajectories. Unlike epigenetic clocks that constrain the functional form of methylation changes with time, pseudotime analysis orders samples along a path, based on similarities in a latent dimension, to provide an unbiased trajectory. We show that pseudotime analysis can be applied to DNA methylation in human blood and brain tissue and find that it is highly correlated with the epigenetic states described by the Epigenetic Pacemaker. Moreover, we show that the pseudotime trajectory can be modeled with respect to time, using a sum of two exponentials, with coefficients that are close to the timescales of human age-associated mortality. Thus, for the first time, we can identify age-associated molecular changes that appear to track the exponential dynamics of mortality risk.
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25
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Moore SR, Merrill SM, Sekhon B, MacIsaac JL, Kobor MS, Giesbrecht GF, Letourneau N. Infant DNA methylation: an early indicator of intergenerational trauma? Early Hum Dev 2022; 164:105519. [PMID: 34890904 DOI: 10.1016/j.earlhumdev.2021.105519] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 10/18/2021] [Accepted: 11/24/2021] [Indexed: 11/03/2022]
Abstract
Exposure to adverse childhood experiences (ACEs) increases risk for mental and physical health problems. Intergenerationally, mothers' ACEs predict children's health problems including neurodevelopmental and behavioural problems and poorer physical health. Theories of intergenerational trauma suggest that ACEs experienced in one generation negatively affect the health and well-being of future generations, with DNA methylation (DNAm) being one of several potential biological explanations. To begin exploring this hypothesis, we tested whether infant DNA methylation associated with intergenerational trauma. Secondary analysis employed data from the Alberta Pregnancy Outcomes and Nutrition (APrON) study. Subsample data were collected from mothers during pregnancy and postpartum on measures of distress, stress and ACEs and from infants at 3 months of age on DNAm from blood (n = 92) and buccal epithelial cells (BECs; n = 124; primarily nonoverlapping individuals between tissues). Blood and BECs were examined in separate analyses. Preliminary associations identified in blood and BECs suggest that infant DNAm patterns may relate to maternal ACEs. For the majority of ACE-related DNAm sites, neither maternal perinatal distress, nor maternal cortisol awakening response (CAR; a measure of hypothalamic-pituitary-adrenocortical axis function), substantially reduced associations between maternal ACEs and infant DNAm. However, accounting for maternal perinatal distress and cortisol substantially changed the effect of ACEs in a greater proportion of blood DNAm sites than BEC DNAm sites in the top ACEs-associated correlated methylated regions (CMRs), as well as across all CMRs and all remaining CpGs (that did not fall into CMRs). Possible DNAm patterns in infants, thus, might capture a signature of maternal intergenerational trauma, and this effect appears to be more dependent on maternal perinatal distress and CAR in blood relative to BECs.
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Affiliation(s)
- Sarah R Moore
- BC Children's Hospital Research Institute and Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sarah M Merrill
- BC Children's Hospital Research Institute and Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Bikram Sekhon
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Julia L MacIsaac
- BC Children's Hospital Research Institute and Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael S Kobor
- BC Children's Hospital Research Institute and Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Gerald F Giesbrecht
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Pediatrics & Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Nicole Letourneau
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Pediatrics & Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada; Department of Psychiatry and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
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26
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Umeoguaju FU, Akaninwor JO, Essien EB, Amadi BA. Heavy metal profile of surface and ground water samples from the Niger Delta region of Nigeria: a systematic review and meta-analysis. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 194:46. [PMID: 34961891 DOI: 10.1007/s10661-021-09688-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
This systematic review and meta-analysis estimated the pooled mean levels of heavy metals in ground and surface water samples obtained from the Niger Delta region of Nigeria (NDRN). PUBMED and Google Scholar databases were searched for studies published between 2000 and 2019, which assessed the levels of heavy metals in natural water samples obtained from the NDRN. Thirty one (31) studies which had a total of 951 water samples were identified. The pooled mean estimate (PME) from the meta-analysis indicates that the levels of Ni, Cd, Cr, and Pb in the majority of the natural water bodies from the NDRN are higher than the WHO safe permissible limit for drinking water. The contributions of prevailing anthropogenic activities to the observed heavy metal profiles of natural water sources from the NDRN were discussed. Stricter enforcement of safe environmental practices is necessary to protect the lives of the over 30 million inhabitants of this oil rich region.
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Affiliation(s)
- Francis Uchenna Umeoguaju
- World Bank Africa Centre of Excellence in Public Health and Toxicological Research (PUTOR), University of Port Harcourt, PMB, Port Harcourt, 5323, Rivers State, Nigeria.
| | - Joyce Oronne Akaninwor
- World Bank Africa Centre of Excellence in Public Health and Toxicological Research (PUTOR), University of Port Harcourt, PMB, Port Harcourt, 5323, Rivers State, Nigeria
- Department of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
| | - Eka Bassey Essien
- World Bank Africa Centre of Excellence in Public Health and Toxicological Research (PUTOR), University of Port Harcourt, PMB, Port Harcourt, 5323, Rivers State, Nigeria
- Department of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
| | - Benjamin A Amadi
- World Bank Africa Centre of Excellence in Public Health and Toxicological Research (PUTOR), University of Port Harcourt, PMB, Port Harcourt, 5323, Rivers State, Nigeria
- Department of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria
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27
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Planterose Jiménez B, Kayser M, Vidaki A. Revisiting genetic artifacts on DNA methylation microarrays exposes novel biological implications. Genome Biol 2021; 22:274. [PMID: 34548083 PMCID: PMC8454075 DOI: 10.1186/s13059-021-02484-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 09/01/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Illumina DNA methylation microarrays enable epigenome-wide analysis vastly used for the discovery of novel DNA methylation variation in health and disease. However, the microarrays' probe design cannot fully consider the vast human genetic diversity, leading to genetic artifacts. Distinguishing genuine from artifactual genetic influence is of particular relevance in the study of DNA methylation heritability and methylation quantitative trait loci. But despite its importance, current strategies to account for genetic artifacts are lagging due to a limited mechanistic understanding on how such artifacts operate. RESULTS To address this, we develop and benchmark UMtools, an R-package containing novel methods for the quantification and qualification of genetic artifacts based on fluorescence intensity signals. With our approach, we model and validate known SNPs/indels on a genetically controlled dataset of monozygotic twins, and we estimate minor allele frequency from DNA methylation data and empirically detect variants not included in dbSNP. Moreover, we identify examples where genetic artifacts interact with each other or with imprinting, X-inactivation, or tissue-specific regulation. Finally, we propose a novel strategy based on co-methylation that can discern between genetic artifacts and genuine genomic influence. CONCLUSIONS We provide an atlas to navigate through the huge diversity of genetic artifacts encountered on DNA methylation microarrays. Overall, our study sets the ground for a paradigm shift in the study of the genetic component of epigenetic variation in DNA methylation microarrays.
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Affiliation(s)
- Benjamin Planterose Jiménez
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Rotterdam, the Netherlands
| | - Manfred Kayser
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Rotterdam, the Netherlands
| | - Athina Vidaki
- Erasmus MC, University Medical Center Rotterdam, Department of Genetic Identification, Rotterdam, the Netherlands
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28
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Neri de Souza Reis V, Tahira AC, Daguano Gastaldi V, Mari P, Portolese J, Feio dos Santos AC, Lisboa B, Mari J, Caetano SC, Brunoni D, Bordini D, Silvestre de Paula C, Vêncio RZN, Quackenbush J, Brentani H. Environmental Influences Measured by Epigenetic Clock and Vulnerability Components at Birth Impact Clinical ASD Heterogeneity. Genes (Basel) 2021; 12:genes12091433. [PMID: 34573415 PMCID: PMC8467464 DOI: 10.3390/genes12091433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/03/2021] [Accepted: 09/08/2021] [Indexed: 11/16/2022] Open
Abstract
Although Autism Spectrum Disorders (ASD) is recognized as being heavily influenced by genetic factors, the role of epigenetic and environmental factors is still being established. This study aimed to identify ASD vulnerability components based on familial history and intrauterine environmental stress exposure, explore possible vulnerability subgroups, access DNA methylation age acceleration (AA) as a proxy of stress exposure during life, and evaluate the association of ASD vulnerability components and AA to phenotypic severity measures. Principal Component Analysis (PCA) was used to search the vulnerability components from 67 mothers of autistic children. We found that PC1 had a higher correlation with psychosocial stress (maternal stress, maternal education, and social class), and PC2 had a higher correlation with biological factors (psychiatric family history and gestational complications). Comparing the methylome between above and below PC1 average subgroups we found 11,879 statistically significant differentially methylated probes (DMPs, p < 0.05). DMPs CpG sites were enriched in variably methylated regions (VMRs), most showing environmental and genetic influences. Hypermethylated probes presented higher rates in different regulatory regions associated with functional SNPs, indicating that the subgroups may have different affected regulatory regions and their liability to disease explained by common variations. Vulnerability components score moderated by epigenetic clock AA was associated with Vineland Total score (p = 0.0036, adjR2 = 0.31), suggesting risk factors with stress burden can influence ASD phenotype.
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Affiliation(s)
- Viviane Neri de Souza Reis
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
| | - Ana Carolina Tahira
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
- Instituto Butantan, São Paulo 05503-900, SP, Brazil
| | - Vinícius Daguano Gastaldi
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
| | - Paula Mari
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
| | - Joana Portolese
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
| | - Ana Cecilia Feio dos Santos
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
- Laboratório de Pesquisas Básicas em Malária—Entomologia, Seção de Parasitologia—Instituto Evandro Chagas/SVS/MS, Ananindeua 66093-020, PA, Brazil
| | - Bianca Lisboa
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
| | - Jair Mari
- Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo 04023-062, SP, Brazil; (J.M.); (S.C.C.); (D.B.); (C.S.d.P.)
| | - Sheila C. Caetano
- Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo 04023-062, SP, Brazil; (J.M.); (S.C.C.); (D.B.); (C.S.d.P.)
| | - Décio Brunoni
- Centro de Ciências Biológicas e da Saúde, Universidade Presbiteriana Mackenzie (UPM), São Paulo 01302-907, SP, Brazil;
| | - Daniela Bordini
- Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo 04023-062, SP, Brazil; (J.M.); (S.C.C.); (D.B.); (C.S.d.P.)
| | - Cristiane Silvestre de Paula
- Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo 04023-062, SP, Brazil; (J.M.); (S.C.C.); (D.B.); (C.S.d.P.)
- Centro de Ciências Biológicas e da Saúde, Universidade Presbiteriana Mackenzie (UPM), São Paulo 01302-907, SP, Brazil;
| | - Ricardo Z. N. Vêncio
- Departamento de Computação e Matemática FFCLRP-USP, Universidade de São Paulo, Ribeirão Preto 14040-901, SP, Brazil;
| | - John Quackenbush
- Center for Cancer Computational Biology, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA; or
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Helena Brentani
- Departamento & Instituto de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo 05403-903, SP, Brazil; (V.N.d.S.R.); (A.C.T.); (V.D.G.); (P.M.); (J.P.); (A.C.F.d.S.); (B.L.)
- Correspondence: ; Tel.: +55-(11)-99-931-4349
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Society to cell: How child poverty gets “Under the Skin” to influence child development and lifelong health. DEVELOPMENTAL REVIEW 2021. [DOI: 10.1016/j.dr.2021.100983] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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30
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Merrill SM, Moore SR, Gladish N, Giesbrecht GF, Dewey D, Konwar C, MacIssac JL, Kobor MS, Letourneau NL. Paternal adverse childhood experiences: Associations with infant DNA methylation. Dev Psychobiol 2021; 63:e22174. [PMID: 34333774 DOI: 10.1002/dev.22174] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 06/17/2021] [Accepted: 06/24/2021] [Indexed: 12/14/2022]
Abstract
Adverse childhood experiences (ACEs), or cumulative childhood stress exposures, such as abuse, neglect, and household dysfunction, predict later health problems in both the exposed individuals and their offspring. One potential explanation suggests exposure to early adversity predicts epigenetic modification, especially DNA methylation (DNAm), linked to later health. Stress experienced preconception by mothers may associate with DNAm in the next generation. We hypothesized that fathers' exposure to ACEs also associates with their offspring DNAm, which, to our knowledge, has not been previously explored. An epigenome-wide association study (EWAS) of blood DNAm (n = 45) from 3-month-old infants was regressed onto fathers' retrospective ACEs at multiple Cytosine-phosphate-Guanosine (CpG) sites to discover associations. This accounted for infants' sex, age, ethnicity, cell type proportion, and genetic variability. Higher ACE scores associated with methylation values at eight CpGs. Post-hoc analysis found no contribution of paternal education, income, marital status, and parental postpartum depression, but did with paternal smoking and BMI along with infant sleep latency. These same CpGs also contributed to the association between paternal ACEs and offspring attention problems at 3 years. Collectively, these findings suggested there were biological associations with paternal early life adversity and offspring DNAm in infancy, potentially affecting offspring later childhood outcomes.
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Affiliation(s)
- Sarah M Merrill
- BC Children's Hospital Research Institute Vancouver, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Sarah R Moore
- BC Children's Hospital Research Institute Vancouver, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Nicole Gladish
- BC Children's Hospital Research Institute Vancouver, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Gerald F Giesbrecht
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada.,Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Deborah Dewey
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada.,Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Chaini Konwar
- BC Children's Hospital Research Institute Vancouver, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Julia L MacIssac
- BC Children's Hospital Research Institute Vancouver, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Michael S Kobor
- BC Children's Hospital Research Institute Vancouver, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada.,Program in Child and Brain Development, CIFAR, Toronto, Ontario, Canada
| | - Nicole L Letourneau
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada.,Owerko Centre at the Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada.,Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada
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31
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Park J, Kim J, Kim E, Kim WJ, Won S. Prenatal lead exposure and cord blood DNA methylation in the Korean Exposome Study. ENVIRONMENTAL RESEARCH 2021; 195:110767. [PMID: 33515580 DOI: 10.1016/j.envres.2021.110767] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 01/14/2021] [Accepted: 01/17/2021] [Indexed: 05/16/2023]
Abstract
BACKGROUND Prenatal lead exposure has been reported to affect infant growth and nervous system development, as well as to influence DNA methylation. We conducted an epigenome-wide association study to identify associations between prenatal lead exposure and cord blood DNA methylation in Korean infants. METHODS Cord blood samples were assayed with the Illumina HumanMethylationEPIC BeadChip kits, and maternal blood lead levels during early and late pregnancy, as well as cord blood lead level, were measured. The association between CpG methylation and lead level was analyzed using the limma package, with adjusting for infant sex, maternal pre-pregnancy body mass index, and estimated leukocyte composition. RESULTS Among 364 blood samples (182 males and 182 females), those for which maternal and cord blood lead concentrations during early and later pregnancy was known were used for analysis. Maternal lead concentration in blood during early pregnancy was significantly associated with the methylation status of specific positions. After data stratification by infant sex, we found that, in males, the level of maternal blood lead was associated with 18 CpG sites during early pregnancy, and with one CpG site near the NBAS gene, during late pregnancy. In female samples, there was no significant association between DNA methylation and lead concentrations. CONCLUSIONS Prenatal lead exposure was associated with altered, gender-specific patterns of DNA methylation in Korean infants.
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Affiliation(s)
- Jaehyun Park
- Interdisciplinary Program of Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, South Korea
| | - Jeeyoung Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, South Korea
| | - Esther Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, South Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, South Korea.
| | - Sungho Won
- Interdisciplinary Program of Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, South Korea; Department of Public Health Sciences, Seoul National University, Seoul, South Korea.
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32
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Dao L, Ragoonanan D, Yi S, Swinford R, Petropoulos D, Mahadeo KM, Li S. The Organ Trail: A Review of Biomarkers of Organ Failure. Front Oncol 2020; 10:579219. [PMID: 33262945 PMCID: PMC7686565 DOI: 10.3389/fonc.2020.579219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 10/15/2020] [Indexed: 11/13/2022] Open
Abstract
Pediatric organ failure and transplant populations face significant risks of morbidity and mortality. The risk of organ failure itself may be disproportionately higher among pediatric oncology patients, as cancer may originate within and/or metastasize to organs and adversely affect their function. Additionally, cancer directed therapies are frequently toxic to organs and may contribute to failure. Recent reports suggest that nearly half of providers find it difficult to provide prognostic information regarding organ failure due to unknown disease trajectories. Unfortunately, there is a lack of uniform methodology in detecting the early symptoms of organ failure, which may delay diagnosis, initiation of treatment and hinder prognostic planning. There remains a wide array of outstanding scientific questions regarding organ failure in pediatrics but emerging data may change the landscape of prognostication. Liquid biopsy, in which disease biomarkers are detected in bodily fluids, offers a noninvasive alternative to tissue biopsy and may improve prompt detection of organ failure and prognostication. Here, we review potential liquid biopsy biomarkers for organ failure, which may be particularly useful among pediatric oncology patients. We synthesized information from publications obtained on PubMed, Google Scholar, clinicaltrials.gov, and Web of Science and categorized our findings based on the type of biomarker used to detect organ failure. We highlight the advantages and disadvantages specific to each type of organ failure biomarker. While much work needs to be done to advance this field and validate its applicability to pediatric cancer patients facing critical care complications, herein, we highlight promising areas for future discovery.
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Affiliation(s)
- Long Dao
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Dristhi Ragoonanan
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Sofia Yi
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Rita Swinford
- Division of Pediatric Nephrology, University of Texas Health Science Center Houston, Houston, TX, United States
| | - Demetrios Petropoulos
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Kris M Mahadeo
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Shulin Li
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
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33
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Henriksson P, Lentini A, Altmäe S, Brodin D, Müller P, Forsum E, Nestor CE, Löf M. DNA methylation in infants with low and high body fatness. BMC Genomics 2020; 21:769. [PMID: 33167873 PMCID: PMC7654595 DOI: 10.1186/s12864-020-07169-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 10/20/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Birth weight is determined by the interplay between infant genetics and the intrauterine environment and is associated with several health outcomes in later life. Many studies have reported an association between birth weight and DNA methylation in infants and suggest that altered epigenetics may underlie birthweight-associated health outcomes. However, birth weight is a relatively nonspecific measure of fetal growth and consists of fat mass and fat-free mass which may have different effects on health outcomes which motivates studies of infant body composition and DNA methylation. Here, we combined genome-wide DNA methylation profiling of buccal cells from 47 full-term one-week old infants with accurate measurements of infant fat mass and fat-free mass using air-displacement plethysmography. RESULTS No significant association was found between DNA methylation in infant buccal cells and infant body composition. Moreover, no association between infant DNA methylation and parental body composition or indicators of maternal glucose metabolism were found. CONCLUSIONS Despite accurate measures of body composition, we did not identify any associations between infant body fatness and DNA methylation. These results are consistent with recent studies that generally have identified only weak associations between DNA methylation and birthweight. Although our results should be confirmed by additional larger studies, our findings may suggest that differences in DNA methylation between individuals with low and high body fatness may be established later in childhood.
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Affiliation(s)
- Pontus Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, 58183, Linköping, Sweden.
| | - Antonio Lentini
- Crown Princess Victoria Children's Hospital, and Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden
| | - Signe Altmäe
- Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - David Brodin
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Patrick Müller
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
| | - Elisabet Forsum
- Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden
| | - Colm E Nestor
- Crown Princess Victoria Children's Hospital, and Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden
| | - Marie Löf
- Department of Health, Medicine and Caring Sciences, Linköping University, 58183, Linköping, Sweden.,Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
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34
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Aristizabal MJ, Anreiter I, Halldorsdottir T, Odgers CL, McDade TW, Goldenberg A, Mostafavi S, Kobor MS, Binder EB, Sokolowski MB, O'Donnell KJ. Biological embedding of experience: A primer on epigenetics. Proc Natl Acad Sci U S A 2020; 117:23261-23269. [PMID: 31624126 PMCID: PMC7519272 DOI: 10.1073/pnas.1820838116] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Biological embedding occurs when life experience alters biological processes to affect later life health and well-being. Although extensive correlative data exist supporting the notion that epigenetic mechanisms such as DNA methylation underlie biological embedding, causal data are lacking. We describe specific epigenetic mechanisms and their potential roles in the biological embedding of experience. We also consider the nuanced relationships between the genome, the epigenome, and gene expression. Our ability to connect biological embedding to the epigenetic landscape in its complexity is challenging and complicated by the influence of multiple factors. These include cell type, age, the timing of experience, sex, and DNA sequence. Recent advances in molecular profiling and epigenome editing, combined with the use of comparative animal and human longitudinal studies, should enable this field to transition from correlative to causal analyses.
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Affiliation(s)
- Maria J Aristizabal
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, V52 4H4, Canada
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Ina Anreiter
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Thorhildur Halldorsdottir
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Candice L Odgers
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Psychological Science, University of California, Irvine, CA 92697
- Sanford School of Public Policy, Duke University, Durham, NC 27708
| | - Thomas W McDade
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Anthropology, Northwestern University, Evanston, IL 60208
- Institute for Policy Research, Northwestern University, Evanston, IL 60208
| | - Anna Goldenberg
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Computer Science, Hospital for Sick Children, Vector Institute, University of Toronto, Toronto, ON, M5G OA4, Canada
| | - Sara Mostafavi
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Statistics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Michael S Kobor
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, V52 4H4, Canada
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Elisabeth B Binder
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30329
| | - Marla B Sokolowski
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, M5S 3B2, Canada;
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada
| | - Kieran J O'Donnell
- Program in Child and Brain Development, CIFAR, MaRS Centre, Toronto, ON, M5G 1M1, Canada;
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montreal, QC, H4H 1R3, Canada
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35
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Cecil CAM, Zhang Y, Nolte T. Childhood maltreatment and DNA methylation: A systematic review. Neurosci Biobehav Rev 2020; 112:392-409. [PMID: 32081689 DOI: 10.1016/j.neubiorev.2020.02.019] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 02/14/2020] [Accepted: 02/15/2020] [Indexed: 12/20/2022]
Abstract
DNA methylation (DNAm) - an epigenetic process that regulates gene expression - may represent a mechanism for the biological embedding of early traumatic experiences, including childhood maltreatment. Here, we conducted the first systematic review of human studies linking childhood maltreatment to DNAm. In total, 72 studies were included in the review (2008-2018). The majority of extant studies (i) were based on retrospective data in adults, (ii) employed a candidate gene approach (iii) focused on global maltreatment, (iv) were based on easily accessible peripheral tissues, typically blood; and (v) were cross-sectional. Two-thirds of studies (n = 48) also examined maltreatment-related outcomes, such as stress reactivity and psychiatric symptoms. While findings generally support an association between childhood maltreatment and altered patterns of DNAm, factors such as the lack of longitudinal data, low comparability across studies as well as potential genetic and 'pre-exposure' environmental confounding currently limit the conclusions that can be drawn. Key challenges are discussed and concrete recommendations for future research are provided to move the field forward.
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Affiliation(s)
- Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry, Erasmus Medical Centre, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
| | - Yuning Zhang
- Centre for Innovation in Mental Health, University of Southampton; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Tobias Nolte
- The Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom; Anna Freud National Centre for Children and Families, London, United Kingdom
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36
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Mooney MA, Ryabinin P, Wilmot B, Bhatt P, Mill J, Nigg JT. Large epigenome-wide association study of childhood ADHD identifies peripheral DNA methylation associated with disease and polygenic risk burden. Transl Psychiatry 2020; 10:8. [PMID: 32066674 PMCID: PMC7026179 DOI: 10.1038/s41398-020-0710-4] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 12/09/2019] [Accepted: 12/20/2019] [Indexed: 12/17/2022] Open
Abstract
Epigenetic variation in peripheral tissues is being widely studied as a molecular biomarker of complex disease and disease-related exposures. To date, few studies have examined differences in DNA methylation associated with attention-deficit hyperactivity disorder (ADHD). In this study, we profiled genetic and methylomic variation across the genome in saliva samples from children (age 7-12 years) with clinically established ADHD (N = 391) and nonpsychiatric controls (N = 213). We tested for differentially methylated positions (DMPs) associated with both ADHD diagnosis and ADHD polygenic risk score, by using linear regression models including smoking, medication effects, and other potential confounders in our statistical models. Our results support previously reported associations between ADHD and DNA methylation levels at sites annotated to VIPR2, and identify several novel disease-associated DMPs (p < 1e-5), although none of them were genome-wide significant. The two top-ranked, ADHD-associated DMPs (cg17478313 annotated to SLC7A8 and cg21609804 annotated to MARK2) are also significantly associated with nearby SNPs (p = 1.2e-46 and p = 2.07e-59), providing evidence that disease-associated DMPs are under genetic control. We also report a genome-wide significant association between ADHD polygenic risk and variable DNA methylation at a site annotated to the promoter of GART and SON (p = 6.71E-8). Finally, we show that ADHD-associated SNPs colocalize with SNPs associated with methylation levels in saliva. This is the first large-scale study of DNA methylation in children with ADHD. Our results represent novel epigenetic biomarkers for ADHD that may be useful for patient stratification, reinforce the importance of genetic effects on DNA methylation, and provide plausible molecular mechanisms for ADHD risk variants.
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Affiliation(s)
- Michael A. Mooney
- grid.5288.70000 0000 9758 5690Division of Bioinformatics & Computational Biology, Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR USA ,grid.5288.70000 0000 9758 5690OHSU Knight Cancer Institute, Portland, OR USA
| | - Peter Ryabinin
- grid.5288.70000 0000 9758 5690Oregon Clinical and Translational Research Institute, Portland, OR USA
| | - Beth Wilmot
- grid.5288.70000 0000 9758 5690Division of Bioinformatics & Computational Biology, Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR USA ,grid.5288.70000 0000 9758 5690Oregon Clinical and Translational Research Institute, Portland, OR USA
| | - Priya Bhatt
- grid.5288.70000 0000 9758 5690Division of Psychology, Department of Psychiatry, Oregon Health & Science University, Portland, OR USA
| | - Jonathan Mill
- grid.8391.30000 0004 1936 8024University of Exeter Medical School, Exeter University, Exeter, UK
| | - Joel T. Nigg
- grid.5288.70000 0000 9758 5690Division of Psychology, Department of Psychiatry, Oregon Health & Science University, Portland, OR USA ,grid.5288.70000 0000 9758 5690Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR USA
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37
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Abstract
Our social environment, from the microscopic to the macro-social, affects us for the entirety of our lives. One integral line of research to examine how interpersonal and societal environments can get "under the skin" is through the lens of epigenetics. Epigenetic mechanisms are adaptations made to our genome in response to our environment which include tags placed on and removed from the DNA itself to how our DNA is packaged, affecting how our genes are read, transcribed, and interact. These tags are affected by social environments and can persist over time; this may aid us in responding to experiences and exposures, both the enriched and the disadvantageous. From memory formation to immune function, the experience-dependent plasticity of epigenetic modifications to micro- and macro-social environments may contribute to the process of learning from comfort, pain, and stress to better survive in whatever circumstances life has in store.
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Affiliation(s)
- Sarah M Merrill
- Centre for Molecular Medicine and Therapeutics, British Columbia Children's Hospital, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Nicole Gladish
- Centre for Molecular Medicine and Therapeutics, British Columbia Children's Hospital, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, British Columbia Children's Hospital, Vancouver, BC, Canada.
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
- Human Early Learning Partnership, University of British Columbia, Vancouver, BC, Canada.
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