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Garg E, Arguello-Pascualli P, Vishnyakova O, Halevy AR, Yoo S, Brooks JD, Bull SB, Gagnon F, Greenwood CMT, Hung RJ, Lawless JF, Lerner-Ellis J, Dennis JK, Abraham RJS, Garant JM, Thiruvahindrapuram B, Jones SJM, Strug LJ, Paterson AD, Sun L, Elliott LT. Canadian COVID-19 host genetics cohort replicates known severity associations. PLoS Genet 2024; 20:e1011192. [PMID: 38517939 PMCID: PMC10990181 DOI: 10.1371/journal.pgen.1011192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 04/03/2024] [Accepted: 02/22/2024] [Indexed: 03/24/2024] Open
Abstract
The HostSeq initiative recruited 10,059 Canadians infected with SARS-CoV-2 between March 2020 and March 2023, obtained clinical information on their disease experience and whole genome sequenced (WGS) their DNA. We analyzed the WGS data for genetic contributors to severe COVID-19 (considering 3,499 hospitalized cases and 4,975 non-hospitalized after quality control). We investigated the evidence for replication of loci reported by the International Host Genetics Initiative (HGI); analyzed the X chromosome; conducted rare variant gene-based analysis and polygenic risk score testing. Population stratification was adjusted for using meta-analysis across ancestry groups. We replicated two loci identified by the HGI for COVID-19 severity: the LZTFL1/SLC6A20 locus on chromosome 3 and the FOXP4 locus on chromosome 6 (the latter with a variant significant at P < 5E-8). We found novel significant associations with MRAS and WDR89 in gene-based analyses, and constructed a polygenic risk score that explained 1.01% of the variance in severe COVID-19. This study provides independent evidence confirming the robustness of previously identified COVID-19 severity loci by the HGI and identifies novel genes for further investigation.
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Affiliation(s)
- Elika Garg
- Department of Statistics and Actuarial Science, Simon Fraser University, Vancouver, British Columbia, Canada
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Paola Arguello-Pascualli
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Olga Vishnyakova
- Department of Statistics and Actuarial Science, Simon Fraser University, Vancouver, British Columbia, Canada
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Anat R. Halevy
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Samantha Yoo
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Jennifer D. Brooks
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Shelley B. Bull
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - France Gagnon
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Celia M. T. Greenwood
- Gerald Bronfman Department of Oncology, Department of Epidemiology, Biostatistics and Occupational Health, Department of Human Genetics, McGill University, Montreal, Quebec, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Rayjean J. Hung
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
| | - Jerald F. Lawless
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Jordan Lerner-Ellis
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
- Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Jessica K. Dennis
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rohan J. S. Abraham
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Jean-Michel Garant
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
| | | | - Steven J. M. Jones
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Canada’s Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
| | | | - Lisa J. Strug
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Andrew D. Paterson
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Lei Sun
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Lloyd T. Elliott
- Department of Statistics and Actuarial Science, Simon Fraser University, Vancouver, British Columbia, Canada
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2
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Yoo S, Garg E, Elliott LT, Hung RJ, Halevy AR, Brooks JD, Bull SB, Gagnon F, Greenwood C, Lawless JF, Paterson AD, Sun L, Zawati MH, Lerner-Ellis J, Abraham R, Birol I, Bourque G, Garant JM, Gosselin C, Li J, Whitney J, Thiruvahindrapuram B, Herbrick JA, Lorenti M, Reuter MS, Adeoye OO, Liu S, Allen U, Bernier FP, Biggs CM, Cheung AM, Cowan J, Herridge M, Maslove DM, Modi BP, Mooser V, Morris SK, Ostrowski M, Parekh RS, Pfeffer G, Suchowersky O, Taher J, Upton J, Warren RL, Yeung R, Aziz N, Turvey SE, Knoppers BM, Lathrop M, Jones S, Scherer SW, Strug LJ. HostSeq: a Canadian whole genome sequencing and clinical data resource. BMC Genom Data 2023; 24:26. [PMID: 37131148 PMCID: PMC10152008 DOI: 10.1186/s12863-023-01128-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 02/22/2023] [Indexed: 05/04/2023] Open
Abstract
HostSeq was launched in April 2020 as a national initiative to integrate whole genome sequencing data from 10,000 Canadians infected with SARS-CoV-2 with clinical information related to their disease experience. The mandate of HostSeq is to support the Canadian and international research communities in their efforts to understand the risk factors for disease and associated health outcomes and support the development of interventions such as vaccines and therapeutics. HostSeq is a collaboration among 13 independent epidemiological studies of SARS-CoV-2 across five provinces in Canada. Aggregated data collected by HostSeq are made available to the public through two data portals: a phenotype portal showing summaries of major variables and their distributions, and a variant search portal enabling queries in a genomic region. Individual-level data is available to the global research community for health research through a Data Access Agreement and Data Access Compliance Office approval. Here we provide an overview of the collective project design along with summary level information for HostSeq. We highlight several statistical considerations for researchers using the HostSeq platform regarding data aggregation, sampling mechanism, covariate adjustment, and X chromosome analysis. In addition to serving as a rich data source, the diversity of study designs, sample sizes, and research objectives among the participating studies provides unique opportunities for the research community.
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Affiliation(s)
- S Yoo
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Ottawa, Ottawa, ON, Canada
| | - E Garg
- Simon Fraser University, Burnaby, BC, Canada
| | - L T Elliott
- Simon Fraser University, Burnaby, BC, Canada
| | - R J Hung
- University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - A R Halevy
- The Hospital for Sick Children, Toronto, ON, Canada
| | - J D Brooks
- University of Toronto, Toronto, ON, Canada
| | - S B Bull
- University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - F Gagnon
- University of Toronto, Toronto, ON, Canada
| | - Cmt Greenwood
- McGill University, Montreal, QC, Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - J F Lawless
- University of Waterloo, Waterloo, ON, Canada
| | - A D Paterson
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - L Sun
- University of Toronto, Toronto, ON, Canada
| | | | - J Lerner-Ellis
- University of Toronto, Toronto, ON, Canada
- Sinai Health System, Toronto, ON, Canada
| | - Rjs Abraham
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - I Birol
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - G Bourque
- McGill University, Montreal, QC, Canada
| | - J-M Garant
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - C Gosselin
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - J Li
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - J Whitney
- The Hospital for Sick Children, Toronto, ON, Canada
| | | | - J-A Herbrick
- The Hospital for Sick Children, Toronto, ON, Canada
| | - M Lorenti
- The Hospital for Sick Children, Toronto, ON, Canada
| | - M S Reuter
- The Hospital for Sick Children, Toronto, ON, Canada
| | - O O Adeoye
- The Hospital for Sick Children, Toronto, ON, Canada
| | - S Liu
- The Hospital for Sick Children, Toronto, ON, Canada
| | - U Allen
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - F P Bernier
- University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital, Calgary, AB, Canada
| | - C M Biggs
- University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital, Vancouver, BC, Canada
- St. Paul's Hospital, Vancouver, BC, Canada
| | - A M Cheung
- University Health Network, Toronto, ON, Canada
| | - J Cowan
- University of Ottawa, Ottawa, ON, Canada
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - M Herridge
- University Health Network, Toronto, ON, Canada
| | | | - B P Modi
- BC Children's Hospital, Vancouver, BC, Canada
| | - V Mooser
- McGill University, Montreal, QC, Canada
| | - S K Morris
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - M Ostrowski
- University of Toronto, Toronto, ON, Canada
- St. Michael's Hospital, Unity Health, Toronto, ON, Canada
| | - R S Parekh
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
- Women's College Hospital, Toronto, ON, Canada
| | - G Pfeffer
- University of Calgary, Calgary, AB, Canada
| | | | - J Taher
- University of Toronto, Toronto, ON, Canada
- Sinai Health System, Toronto, ON, Canada
| | - J Upton
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - R L Warren
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - Rsm Yeung
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - N Aziz
- The Hospital for Sick Children, Toronto, ON, Canada
| | - S E Turvey
- University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital, Vancouver, BC, Canada
| | | | - M Lathrop
- McGill University, Montreal, QC, Canada
| | - Sjm Jones
- Canada's Michael Smith Genome Sciences Centre, Vancouver, BC, Canada
| | - S W Scherer
- The Hospital for Sick Children, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - L J Strug
- The Hospital for Sick Children, Toronto, ON, Canada.
- University of Toronto, Toronto, ON, Canada.
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McGill MG, Pokhvisneva I, Clappison AS, McEwen LM, Beijers R, Tollenaar M, Pham H, Kee MZL, Garg E, de Mendonça Filho EJ, Karnani N, Silveira PP, Kobor MS, de Weerth C, Meaney MJ, O'Donnell KJ. Reply to: Crossing the "Birth Border" for Epigenetic Effects. Biol Psychiatry 2022; 92:e25-e26. [PMID: 35249723 DOI: 10.1016/j.biopsych.2021.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 12/17/2021] [Indexed: 11/02/2022]
Affiliation(s)
- Megan G McGill
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Irina Pokhvisneva
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Andrew S Clappison
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Lisa M McEwen
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roseriet Beijers
- Department of Developmental Psychology, Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Marieke Tollenaar
- Clinical Psychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands
| | - Hung Pham
- Yale Child Study Center and Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Elika Garg
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | | | - Neerja Karnani
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Bioinformatics Institute, Agency for Science Technology and Research, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Patricia P Silveira
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada
| | - Carolina de Weerth
- Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Michael J Meaney
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kieran J O'Donnell
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada; Yale Child Study Center and Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut.
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4
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McGill MG, Pokhvisneva I, Clappison AS, McEwen LM, Beijers R, Tollenaar MS, Pham H, Kee MZL, Garg E, de Mendonça Filho EJ, Karnani N, Silveira PP, Kobor MS, de Weerth C, Meaney MJ, O'Donnell KJ. Maternal Prenatal Anxiety and the Fetal Origins of Epigenetic Aging. Biol Psychiatry 2022; 91:303-312. [PMID: 34756561 DOI: 10.1016/j.biopsych.2021.07.025] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 07/19/2021] [Accepted: 07/20/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND The fetal origins of mental health is a well-established framework that currently lacks a robust index of the biological embedding of prenatal adversity. The Pediatric-Buccal-Epigenetic (PedBE) clock is a novel epigenetic tool that associates with aspects of the prenatal environment, but additional validation in longitudinal datasets is required. Likewise, the relationship between prenatal maternal mental health and the PedBE clock has not been described. METHODS Longitudinal cohorts from the Netherlands (Basal Influences on Baby Development [BIBO] n = 165) and Singapore (Growing Up in Singapore Towards Healthy Outcomes [GUSTO] n = 340) provided data on prenatal maternal anxiety and longitudinal assessments of buccal cell-derived genome-wide DNA methylation assessed at 6 and 10 years of age in BIBO, and at 3, 9, and 48 months of age in GUSTO. Measures of epigenetic age acceleration were calculated using the PedBE clock and benchmarked against an established multi-tissue epigenetic predictor. RESULTS Prenatal maternal anxiety predicted child PedBE epigenetic age acceleration in both cohorts, with effects largely restricted to males and not females. These results were independent of obstetric, socioeconomic, and genetic risk factors, with a larger effect size for prenatal anxiety than depression. PedBE age acceleration predicted increased externalizing symptoms in males from mid- to late childhood in the BIBO cohort only. CONCLUSIONS These findings point to the fetal origins of epigenetic age acceleration and reveal an increased sensitivity in males. Convergent evidence underscores the societal importance of providing timely and effective mental health support to pregnant individuals, which may have lasting consequences for both mother and child.
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Affiliation(s)
- Megan G McGill
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Irina Pokhvisneva
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Andrew S Clappison
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Lisa M McEwen
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roseriet Beijers
- Department of Developmental Psychology, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Marieke S Tollenaar
- Department of Clinical Psychology, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Hung Pham
- Yale Child Study Center and Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut
| | | | - Elika Garg
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | | | - Neerja Karnani
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bioinformatics Institute, Agency for Science, Technology, and Research, Singapore
| | - Patricia P Silveira
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada
| | - Carolina de Weerth
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Michael J Meaney
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Singapore Institute for Clinical Sciences, Singapore; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kieran J O'Donnell
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Yale Child Study Center and Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada.
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5
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Tollenaar MS, Beijers R, Garg E, Nguyen TTT, Lin DTS, MacIsaac JL, Shalev I, Kobor MS, Meaney MJ, O'Donnell KJ, de Weerth C. Internalizing symptoms associate with the pace of epigenetic aging in childhood. Biol Psychol 2021; 159:108021. [PMID: 33460784 DOI: 10.1016/j.biopsycho.2021.108021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 09/25/2020] [Accepted: 01/11/2021] [Indexed: 12/23/2022]
Abstract
Childhood psychiatric symptoms may be associated with advanced biological aging. This study examined whether epigenetic age acceleration (EAA) associates with internalizing and externalizing symptoms that were prospectively collected across childhood in a longitudinal cohort study. At age 6 buccal epithelial cells from 148 children (69 girls) were collected to survey genome-wide DNA methylation. EAA was estimated using the Horvath clock. Internalizing symptoms at ages 2.5 and 4 years significantly predicted higher EAA at age 6, which in turn was significantly associated with internalizing symptoms at ages 6-10 years. Similar trends for externalizing symptoms did not reach statistical significance. These findings indicate advanced biological aging in relation to child mental health and may help better identify those at risk for lasting impairments associated with internalizing disorders.
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Affiliation(s)
| | - Roseriet Beijers
- Department of Developmental Psychology, Behavioural Science Institute, Radboud University, the Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, the Netherlands
| | - Elika Garg
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada
| | - T T Thao Nguyen
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada
| | - David T S Lin
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, BC Children's Hospital Research Institute, University of British Columbia, BC, Canada
| | - Julia L MacIsaac
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, BC Children's Hospital Research Institute, University of British Columbia, BC, Canada
| | - Idan Shalev
- Department of Biobehavioral Health, Pennsylvania State University, PA, USA
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, BC Children's Hospital Research Institute, University of British Columbia, BC, Canada; Sackler Program for Epigenetics and Neurobiology, McGill University, QC, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada; Sackler Program for Epigenetics and Neurobiology, McGill University, QC, Canada; Canadian Institute for Advanced Research, Child and Brain Development Program, Canada; Singapore Institute for Clinical Sciences, Singapore
| | - Kieran J O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, QC, Canada; Canadian Institute for Advanced Research, Child and Brain Development Program, Canada; Yale Child Study Center & Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, USA
| | - Carolina de Weerth
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, the Netherlands
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6
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McEwen LM, O'Donnell KJ, McGill MG, Edgar RD, Jones MJ, MacIsaac JL, Lin DTS, Ramadori K, Morin A, Gladish N, Garg E, Unternaehrer E, Pokhvisneva I, Karnani N, Kee MZL, Klengel T, Adler NE, Barr RG, Letourneau N, Giesbrecht GF, Reynolds JN, Czamara D, Armstrong JM, Essex MJ, de Weerth C, Beijers R, Tollenaar MS, Bradley B, Jovanovic T, Ressler KJ, Steiner M, Entringer S, Wadhwa PD, Buss C, Bush NR, Binder EB, Boyce WT, Meaney MJ, Horvath S, Kobor MS. The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells. Proc Natl Acad Sci U S A 2020; 117:23329-23335. [PMID: 31611402 PMCID: PMC7519312 DOI: 10.1073/pnas.1820843116] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The development of biological markers of aging has primarily focused on adult samples. Epigenetic clocks are a promising tool for measuring biological age that show impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several age-related phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. To address this gap, we aimed to develop a highly accurate, noninvasive, biological measure of age specific to pediatric samples using buccal epithelial cell DNAm. We gathered 1,721 genome-wide DNAm profiles from 11 different cohorts of typically developing individuals aged 0 to 20 y old. Elastic net penalized regression was used to select 94 CpG sites from a training dataset (n = 1,032), with performance assessed in a separate test dataset (n = 689). DNAm at these 94 CpG sites was highly predictive of age in the test cohort (median absolute error = 0.35 y). The Pediatric-Buccal-Epigenetic (PedBE) clock was characterized in additional cohorts, showcasing the accuracy in longitudinal data, the performance in nonbuccal tissues and adult age ranges, and the association with obstetric outcomes. The PedBE tool for measuring biological age in children might help in understanding the environmental and contextual factors that shape the DNA methylome during child development, and how it, in turn, might relate to child health and disease.
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Affiliation(s)
- Lisa M McEwen
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Kieran J O'Donnell
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
| | - Megan G McGill
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Rachel D Edgar
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Meaghan J Jones
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Julia L MacIsaac
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - David Tse Shen Lin
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Katia Ramadori
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Alexander Morin
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Nicole Gladish
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Elika Garg
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Eva Unternaehrer
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR); Singapore 117609
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR); Singapore 117609
| | - Torsten Klengel
- Department of Psychiatry, Harvard Medical School-McLean Hospital, Belmont, MA 02478
| | - Nancy E Adler
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Department of Psychiatry, University of California, San Francisco, CA 94143
- Department of Pediatrics, University of California, San Francisco, CA 94143
| | - Ronald G Barr
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada V6T 1Z4
| | - Nicole Letourneau
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada T2N 4N1
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Gerald F Giesbrecht
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada T2N 4N1
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - James N Reynolds
- Department of Biomedical and Molecular Sciences, School of Medicine, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Jeffrey M Armstrong
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53706
| | - Marilyn J Essex
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53706
| | - Carolina de Weerth
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 HR, Nijmegen, The Netherlands
| | - Roseriet Beijers
- Behavioural Science Institute, Radboud University, 6525 HR, Nijmegen, The Netherlands
| | - Marieke S Tollenaar
- Leiden Institute for Brain and Cognition, Institute of Psychology, Leiden University, 2300 RB, Leiden, The Netherlands
| | - Bekh Bradley
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School-McLean Hospital, Belmont, MA 02478
| | - Meir Steiner
- Department of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, ON, Canada L8S 4L8
| | - Sonja Entringer
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, 10117 Berlin, Germany
- Development, Health, and Disease Research Program, University of California, Irvine, CA 92617
| | - Pathik D Wadhwa
- Development, Health, and Disease Research Program, University of California, Irvine, CA 92617
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, 92617
- Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, 92617
- Department of Epidemiology, School of Medicine, University of California, Irvine, CA, 92617
| | - Claudia Buss
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, 10117 Berlin, Germany
| | - Nicole R Bush
- Department of Psychiatry, University of California, San Francisco, CA 94143
| | - Elisabeth B Binder
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- 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 30322
| | - W Thomas Boyce
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Department of Psychiatry, University of California, San Francisco, CA 94143
- Department of Pediatrics, University of California, San Francisco, CA 94143
| | - Michael J Meaney
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR); Singapore 117609
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095;
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA 90095
| | - Michael S Kobor
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4;
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
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7
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Miguel PM, Pereira LO, Barth B, de Mendonça Filho EJ, Pokhvisneva I, Nguyen TTT, Garg E, Razzolini BR, Koh DXP, Gallant H, Sassi RB, Hall GBC, O'Donnell KJ, Meaney MJ, Silveira PP. Prefrontal Cortex Dopamine Transporter Gene Network Moderates the Effect of Perinatal Hypoxic-Ischemic Conditions on Cognitive Flexibility and Brain Gray Matter Density in Children. Biol Psychiatry 2019; 86:621-630. [PMID: 31142432 DOI: 10.1016/j.biopsych.2019.03.983] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/23/2019] [Accepted: 03/25/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Genetic polymorphisms of the dopamine transporter gene (DAT1) and perinatal complications associated with poor oxygenation are risk factors for attentional problems in childhood and may show interactive effects. METHODS We created a novel expression-based polygenic risk score (ePRS) reflecting variations in the function of the DAT1 gene network (ePRS-DAT1) in the prefrontal cortex and explored the effects of its interaction with perinatal hypoxic-ischemic-associated conditions on cognitive flexibility and brain gray matter density in healthy children from two birth cohorts-MAVAN from Canada (n = 139 boys and girls) and GUSTO from Singapore (n = 312 boys and girls). RESULTS A history of exposure to several perinatal hypoxic-ischemic-associated conditions was associated with impaired cognitive flexibility only in the high-ePRS group, suggesting that variation in the prefrontal cortex expression of genes involved in dopamine reuptake is associated with differences in this behavior. Interestingly, this result was observed in both ethnically distinct birth cohorts. Additionally, parallel independent component analysis (MAVAN cohort, n = 40 children) demonstrated relationships between single nucleotide polymorphism-based ePRS and gray matter density in areas involved in executive (cortical regions) and integrative (bilateral thalamus and putamen) functions, and these relationships differ in children from high and low exposure to hypoxic-ischemic-associated conditions. CONCLUSIONS These findings reveal that the impact of conditions associated with hypoxia-ischemia on brain development and executive functions is moderated by genotypes associated with dopamine signaling in the prefrontal cortex. We discuss the potential impact of innovative genomic and environmental measures for the identification of children at high risk for impaired executive functions.
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Affiliation(s)
- Patrícia Maidana Miguel
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Departamento de Ciências Morfológicas, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lenir Orlandi Pereira
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Departamento de Ciências Morfológicas, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Barbara Barth
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada
| | - Euclides José de Mendonça Filho
- Programa de Pós-Graduação em Psicologia, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Thao T T Nguyen
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Elika Garg
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Bruna Regis Razzolini
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada
| | - Dawn Xin Ping Koh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Heather Gallant
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Roberto Britto Sassi
- Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Geoffrey B C Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Kieran John O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Quebec, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Quebec, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Patrícia Pelufo Silveira
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Quebec, Canada.
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8
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Toepfer P, O'Donnell KJ, Entringer S, Garg E, Heim CM, Lin DTS, MacIsaac JL, Kobor MS, Meaney MJ, Provençal N, Binder EB, Wadhwa PD, Buss C. Dynamic DNA methylation changes in the maternal oxytocin gene locus (OXT) during pregnancy predict postpartum maternal intrusiveness. Psychoneuroendocrinology 2019; 103:156-162. [PMID: 30690225 PMCID: PMC6554513 DOI: 10.1016/j.psyneuen.2019.01.013] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 01/11/2019] [Accepted: 01/12/2019] [Indexed: 01/21/2023]
Abstract
Maternal behavior (MB) is observable across mammals and represents an important feature of environmental variation during early postnatal development. Oxytocin (OT) plays a crucial role in MB. Even prior to childbirth, pregnancy induces epigenetic and other downstream changes in the maternal OT-system, likely mediated by the actions of steroid hormones. However, little is known about the nature and consequences of epigenetic modifications in the maternal OT-encoding gene (OXT) during pregnancy. Our study aims to investigate temporal dynamics of OXT promoter DNA methylation (DNAm) throughout pregnancy in predicting MB in humans. In 107 mother-child dyads, maternal OXT DNAm was serially analyzed in whole blood in early, mid and late pregnancy. MB was coded based on standardized mother-child interactions at six months postpartum. After controlling for cellular heterogeneity, race/ethnicity, age, and socioeconomic status, OXT-promoter DNAm exhibited a dynamic profile during pregnancy (b = 0.026, t=-3.37, p < .001), with decreases in DNAm from early to mid-pregnancy and no further change until late pregnancy. Moreover, dynamic DNAm trajectories of the OXT-promoter region predicted MB (intrusiveness) at six months postpartum (b = 0.006, t = 2.0, p < 0.05), with 6% higher OXT DNAm in late pregnancy in intrusive compared to non-intrusive mothers. We here demonstrate that OXT promoter DNAm changes significantly throughout gestation in peripheral blood and that these changes are associated with variability in MB, providing a novel potential biomarker predicting postnatal MB.
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Affiliation(s)
- Philipp Toepfer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
| | - Kieran J O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Sackler Program for Epigenetics and Psychobiology at McGill University, Montreal, QC, Canada
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany; University of California, Irvine, Development, Health, and Disease Research Program, Orange, CA, USA
| | - Elika Garg
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Christine M Heim
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany; Department of Biobehavioral Health, Pennsylvania State University, University Park, PA, USA
| | - David T S Lin
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Julia L MacIsaac
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Sackler Program for Epigenetics and Psychobiology at McGill University, Montreal, QC, Canada; Singapore Institute for Clinical Sciences, Singapore
| | - Nadine Provençal
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany; Simon Fraser University, Faculty of Health Sciences, Vancouver, BC, Canada
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Pathik D Wadhwa
- University of California, Irvine, Development, Health, and Disease Research Program, Orange, CA, USA; Departments of Psychiatry and Human Behavior, Obstetrics and Gynecology, and Epidemiology, University of California, Irvine, School of Medicine, Irvine, CA, USA
| | - Claudia Buss
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany; University of California, Irvine, Development, Health, and Disease Research Program, Orange, CA, USA.
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9
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Hari Dass SA, McCracken K, Pokhvisneva I, Chen LM, Garg E, Nguyen TTT, Wang Z, Barth B, Yaqubi M, McEwen LM, MacIsaac JL, Diorio J, Kobor MS, O'Donnell KJ, Meaney MJ, Silveira PP. A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions. EBioMedicine 2019; 42:188-202. [PMID: 30922963 PMCID: PMC6491717 DOI: 10.1016/j.ebiom.2019.03.051] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 03/18/2019] [Accepted: 03/19/2019] [Indexed: 12/28/2022] Open
Abstract
Background Activation of brain insulin receptors modulates reward sensitivity, inhibitory control and memory. Variations in the functioning of this mechanism likely associate with individual differences in the risk for related mental disorders (attention deficit hyperactivity disorder or ADHD, addiction, dementia), in agreement with the high co-morbidity between insulin resistance and psychopathology. These neurobiological mechanisms can be explored using genetic studies. We propose a novel, biologically informed genetic score reflecting the mesocorticolimbic and hippocampal insulin receptor-related gene networks, and investigate if it predicts endophenotypes (impulsivity, cognitive ability) in community samples of children, and psychopathology (addiction, dementia) in adults. Methods Lists of genes co-expressed with the insulin receptor in the mesocorticolimbic system or hippocampus were created. SNPs from these genes (post-clumping) were compiled in a polygenic score using the association betas described in a conventional GWAS (ADHD in the mesocorticolimbic score and Alzheimer in the hippocampal score). Across multiple samples (n = 4502), the biologically informed, mesocorticolimbic or hippocampal specific insulin receptor polygenic scores were calculated, and their ability to predict impulsivity, risk for addiction, cognitive performance and presence of Alzheimer's disease was investigated. Findings The biologically-informed ePRS-IR score showed better prediction of child impulsivity and cognitive performance, as well as risk for addiction and Alzheimer's disease in comparison to conventional polygenic scores for ADHD, addiction and dementia. Interpretation This novel, biologically-informed approach enables the use of genomic datasets to probe relevant biological processes involved in neural function and disorders. Fund Toxic Stress Research network of the JPB Foundation, Jacobs Foundation (Switzerland), Sackler Foundation.
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Affiliation(s)
- Shantala A Hari Dass
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Kathryn McCracken
- John Abbott College, Sainte-Anne-de-Bellevue, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Irina Pokhvisneva
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Lawrence M Chen
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Elika Garg
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Thao T T Nguyen
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Zihan Wang
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Barbara Barth
- McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Moein Yaqubi
- McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Lisa M McEwen
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC V5Z 4H4, Canada
| | - Julie L MacIsaac
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC V5Z 4H4, Canada
| | - Josie Diorio
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC V5Z 4H4, Canada
| | - Kieran J O'Donnell
- Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, 117609, Singapore
| | - Patricia P Silveira
- Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada.
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10
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Chen LM, Yao N, Garg E, Zhu Y, Nguyen TTT, Pokhvisneva I, Hari Dass SA, Unternaehrer E, Gaudreau H, Forest M, McEwen LM, MacIsaac JL, Kobor MS, Greenwood CMT, Silveira PP, Meaney MJ, O’Donnell KJ. PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores. BMC Bioinformatics 2018; 19:295. [PMID: 30089455 PMCID: PMC6083617 DOI: 10.1186/s12859-018-2289-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 07/18/2018] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Polygenic risk scores (PRS) describe the genomic contribution to complex phenotypes and consistently account for a larger proportion of variance in outcome than single nucleotide polymorphisms (SNPs) alone. However, there is little consensus on the optimal data input for generating PRS, and existing approaches largely preclude the use of imputed posterior probabilities and strand-ambiguous SNPs i.e., A/T or C/G polymorphisms. Our ability to predict complex traits that arise from the additive effects of a large number of SNPs would likely benefit from a more inclusive approach. RESULTS We developed PRS-on-Spark (PRSoS), a software implemented in Apache Spark and Python that accommodates different data inputs and strand-ambiguous SNPs to calculate PRS. We compared performance between PRSoS and an existing software (PRSice v1.25) for generating PRS for major depressive disorder using a community cohort (N = 264). We found PRSoS to perform faster than PRSice v1.25 when PRS were generated for a large number of SNPs (~ 17 million SNPs; t = 42.865, p = 5.43E-04). We also show that the use of imputed posterior probabilities and the inclusion of strand-ambiguous SNPs increase the proportion of variance explained by a PRS for major depressive disorder (from 4.3% to 4.8%). CONCLUSIONS PRSoS provides the user with the ability to generate PRS using an inclusive and efficient approach that considers a larger number of SNPs than conventional approaches. We show that a PRS for major depressive disorder that includes strand-ambiguous SNPs, calculated using PRSoS, accounts for the largest proportion of variance in symptoms of depression in a community cohort, demonstrating the utility of this approach. The availability of this software will help users develop more informative PRS for a variety of complex phenotypes.
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Affiliation(s)
- Lawrence M. Chen
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Nelson Yao
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Elika Garg
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Yuecai Zhu
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Thao T. T. Nguyen
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Irina Pokhvisneva
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Shantala A. Hari Dass
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Eva Unternaehrer
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Hélène Gaudreau
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Marie Forest
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Lisa M. McEwen
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Julia L. MacIsaac
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Michael S. Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Celia M. T. Greenwood
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec Canada
- Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Patricia P. Silveira
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Quebec, Canada
| | - Michael J. Meaney
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Quebec, Canada
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, ON Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kieran J. O’Donnell
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Quebec, Canada
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, ON Canada
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Sharma R, Garg E, Conaway D, Garg M. 24: COCAINE-RELATED ACUTE CORONARY SYNDROME AND INCIDENCE OF HEART DISEASE. J Investig Med 2016. [DOI: 10.1136/jim-2016-000080.40] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Purpose of StudyCocaine-related chest discomfort is frequently encountered in urban emergency departments. Incidence of co-morbid illness and heart disease is not well defined in patients with cocaine-related ACS. Appropriate risk stratification in patients with cocaine-related ACS is not clearly defined.Methods Used231 consecutive patients meeting inclusion criteria were entered into a large ACS registry at an urban, inner-city acute-care facility. Comparisons in demographics, co-morbid conditions, left ventricular function and coronary disease were made between patients with cocaine-related ACS and those with non-cocaine ACS.Summary of Results44 (19%) of these patients either tested positive for cocaine by urine drug screen or had self-reported cocaine abuse. Compared to the non-cocaine ACS patients, these individuals were significantly younger, more likely to be male, unmarried, uninsured and also have history of alcohol and tobacco abuse (all p<0.05). The cocaine-users were less likely to have risk factors of diabetes (p<0.002) and hyperlipidemia (p<0.02). Ejection fraction mean was 51.3% (sd 15.4) in the cocaine-users vs. 48.1% (sd 14.0) in the non-cocaine users, with an incidence of EF</=40% of 28% vs. 31% respectively (p=ns). 50% (22/44) of the cocaine-users underwent a stress test evaluation, and 27% of these were positive for ischemia. Of the 41% (18/44) undergoing cardiac catheterization, 13/18 were diagnosed with significant CAD, 4/18 with non-ischemic cardiomyopathy, and one study was normal. A total of 24/44 (55%) had either a new or old diagnosis of documented CAD or NICM, compared to 94% of the non-cocaine ACS patients.ConclusionsCocaine-related chest pain leading to hospitalization is often associated with infarction or significant coronary artery disease. Although optimal evidence-based management is lacking in this population, ischemia evaluations and appropriate further risk stratification and modification may be warranted.
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Sharma R, Garg E, Conaway D, Garg M. MP16: SCREENING FOR INFECTIVE ENDOCARDITIS AMONG PATIENTS IN AN INNER CITY HOSPITAL. J Investig Med 2016. [DOI: 10.1136/jim-2016-000080.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Purpose of StudyOver the years, epidemiology of infective endocarditis (IE) has been changing with the change in population at risk. The aging of our population, better antibiotics for treatment of infections and changes in predisposing conditions have contributed to the changing prevalence patterns of this disease in different patient groups. At present little data is available on the prevalence of IE in selected patient groups such as the medically indigent. We studied the prevalence of IE in patients evaluated in an inner city hospital.Methods UsedWe screened the clinical, laboratory and echocardiographic data of 246 consecutive patients referred for echocardiographic evaluation, with suspected IE during the period 04/1996 to 05/ 2001. Using the New Duke criteria for diagnosing endocarditis, these patients were classified as having 1. Definite IE 2. Possible IE and 3. Diagnosis of IE rejected.Summary of ResultsOf the 246 patients screened, 72 (29%) fulfilled criteria for diagnosis of IE. Twenty of these patients (8%) were classified as “definite” IE and 52 (21%) as “possible” IE. Diagnosis of IE was “rejected” in 174 (71%) of the screened patients.ConclusionsScreening for IE in this medically indigent patient population of an inner city hospital, confirmed definite endocarditis in only 8% of the patients referred with suspected endocarditis. This represents a very small proportion of the patients screened and is much lower than reported in other studies, in a different patient population. This could be due to a higher degree of suspicion for IE in this patient group. Further inquiry is needed to confirm the underlying mechanism responsible for this observation.
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Hariharan S, Chen D, Merritt-Charles L, Bisessar A, Cumberbatch A, Garg E, Reeves R, Singh S, Tlhabano D. Prevalence of prehypertension in adult outpatients in Trinidad. W INDIAN MED J 2007; 55:362. [PMID: 17373310 DOI: 10.1590/s0043-31442006000500017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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