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Attachment & Human Development Volume 25, 2023 - Issue 1: Towards a Social Neuroscience of Human Attachment
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Research Article

Associations of peripheral blood DNA methylation and estimated monocyte proportion differences during infancy with toddler attachment style

Sarah M. Merrilla BC Children’s Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada;b Centre for Molecular Medicine and Therapeutics, Vancouver, CanadaCorrespondence[email protected]
,
Nicole Gladisha BC Children’s Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada;b Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
,
Maggie P. Fua BC Children’s Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada;b Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
,
Sarah R. Moorea BC Children’s Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada;b Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
,
Chaini Konwara BC Children’s Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada;b Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
,
Gerald F. Giesbrechtc Department of Pediatrics, University of Calgary, Calgary, Canada;d Owerko Centre at the Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Canada
,
Julia L. MacIssaca BC Children’s Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada;b Centre for Molecular Medicine and Therapeutics, Vancouver, Canada
,
Michael S. Kobora BC Children’s Hospital Research Institute Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, Canada;b Centre for Molecular Medicine and Therapeutics, Vancouver, Canada;e Program in Child and Brain Development, CIFAR, Toronto, Canada
&
Nicole L. Letourneauc Department of Pediatrics, University of Calgary, Calgary, Canada;d Owerko Centre at the Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Canada;f Department of Psychiatry, University of Calgary, Calgary, Canada;g Faculty of Nursing, University of Calgary, Calgary, Canada
 show all
Pages 132-161 | Received 26 Sep 2020, Accepted 10 May 2021, Published online: 01 Jul 2021

References

  • Affonso, D. D., De, A. K., Horowitz, J. A., & Mayberry, L. J. (2000). An international study exploring levels of postpartum depressive symptomatology. Journal of Psychosomatic Research, 49(3), 207–216. https://doi.org/10.1016/S0022-3999(00)00176-8
  • Agarwala, R., Barrett, T., Beck, J., Benson, D. A., Bollin, C., Bolton, E., … Zbicz, K. (2018). Database resources of the National Center for Biotechnology Information. Nucleic Acids Research, 46(D1), D8–D13. https://doi.org/10.1093/nar/gkx1095
  • Aichurok Kamalova, B., Nakagawa, T., Roger Colbran, A., Kavalali, C. E., Delpire, E., C., & Sachin Patel, P. D. (2020). Functional characterization of an AMPA receptor auxiliary subunit GSG1L in vivo. Vanderbilt University Institutional Repository. Retrieved February 15, 2021, from https://ir.vanderbilt.edu/handle/1803/16364
  • Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S. (1978). Patterns of attachment: A psychological study of the strange situation. Psychology Press. Retrieved November 25, 2020, from https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.690.8245&rep=rep1&type=pdf
  • Aristizabal, M. J., Anreiter, I., Halldorsdottir, T., Odgers, C. L., McDade, T. W., Goldenberg, A., … O’Donnell, K. J. (2019). Biological embedding of experience: A primer on epigenetics. Proceedings of the National Academy of Sciences, 117(38), 201820838. https://doi.org/10.1073/pnas.1820838116
  • Artigas, R., Vega-Tapia, F., Hamilton, J., & Krause, B. J. (2020). Dynamic DNA methylation changes in early versus late adulthood suggest nondeterministic effects of childhood adversity: A meta-analysis. Journal of Developmental Origins of Health and Disease. Advance online publication. https://doi.org/10.1017/S2040174420001075
  • Aryee, M. J., Jaffe, A. E., Corrada-Bravo, H., Ladd-Acosta, C., Feinberg, A. P., Hansen, K. D., & Irizarry, R. A. (2014). Minfi: A flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays | Bioinformatics | Oxford Academic. Bioinformatics, 30 (10), 1363–1369. https://academic.oup.com/bioinformatics/article/30/10/1363/267584. .
  • Austin, M. K., Chen, E., Ross, K. M., Mcewen, L. M., Maclsaac, J. L., Kobor, M. S., & Miller, G. E. (2018, November). Early-life socioeconomic disadvantage, not current, predicts accelerated epigenetic aging of monocytes. Psychoneuroendocrinology, 97, 131–134. https://doi.org/10.1016/j.psyneuen.2018.07.007
  • Bell, J. T., Pai, A. A., Pickrell, J. K., Gaffney, D. J., Pique-Regi, R., Degner, J. F., … Pritchard, J. K. (2011). DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines. Genome Biology, 12(1), 1–13. https://doi.org/10.1186/gb-2011-12-1-r10
  • Benjamini, Y., & Hochberg, Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
  • Bergman, K., Sarkar, P., Glover, V., & O’Connor, T. G. (2010). Maternal Prenatal Cortisol and Infant Cognitive Development: Moderation by Infant–Mother Attachment. Biological Psychiatry, 67(11), 1026–1032. https://doi.org/10.1016/j.biopsych.2010.01.002
  • Bernard, K., Hostinar, C. E., & Dozier, M. (2019). Longitudinal associations between attachment quality in infancy, C-reactive protein in early childhood, and BMI in middle childhood: Preliminary evidence from a CPS-referred sample. Attachment & Human Development, 21(1), 5–22. https://doi.org/10.1080/14616734.2018.1541513
  • Bernier, A., Beauchamp, M. H., Carlson, S. M., & Lalonde, G. (2015). A secure base from which to regulate: Attachment security in toddlerhood as a predictor of executive functioning at school entry. Developmental Psychology, 51 (9), 1177–1189. https://psycnet.apa.org/buy/2015-32546-001
  • Bosmans, G., Bakermans-Kranenburg, M. J., Vervliet, B., Verhees, M. W. F. T., & van IJzendoorn, M. H. (2020, June). A learning theory of attachment: Unraveling the black box of attachment development. Neuroscience and Biobehavioral Reviews, 113, 287–298. https://doi.org/10.1016/j.neubiorev.2020.03.014
  • Bowlby, J. (1969). Attachment and Loss (1st ed.). Basic Books.
  • Bowlby, J. (1979). The making and breaking of affectional bonds. Tavistock.
  • Bowlby, J. (1982). Attachment and loss: Retrospect and prospect. American Journal of Orthopsychiatry, 52(4), 664. https://doi.org/10.1111/j.1939-0025.1982.tb01456.x
  • Boyce, W. T., & Kobor, M. S. (2015). Development and the epigenome: the ‘synapse’ of gene–environment interplay. Developmental Science, 18(1), 1–23.
  • Bruder, G. E., Keilp, J. G., Xu, H., Shikhman, M., Schori, E., Gorman, J. M., & Gilliam, T. C. (2005). Catechol-O-methyltransferase (COMT) genotypes and working memory: Associations with differing cognitive operations. Biological Psychiatry, 58(11), 901–907. https://doi.org/10.1016/j.biopsych.2005.05.010
  • Brummelte, S. (2016, September). Introduction: Early adversity and brain development. Neuroscience, 342, 1–3. https://www.clinicalkey.com/#!/content/playContent/1-s2.0-S0306452216304882?returnurl=null&referrer=null
  • Bush, N. R., Edgar, R. D., Park, M., Macisaac, J. L., Mcewen, L. M., Adler, N. E., Essex, M. J., Kobor, M. S., & Boyce, T. (2018). The biological embedding of early-life socioeconomic status and family adversity in children’s genome-wide DNA methylation. Epigenomics, 10(11), 1445–1461. https://doi.org/10.2217/epi-2018-0042
  • Carlson, E. A., Alan sroufe, L., & Egeland, B. (2004). The Construction of Experience: A Longitudinal Study of Representation and Behavior. Child Development, 75(1), 66–83. https://doi.org/10.1111/j.1467-8624.2004.00654.x
  • Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015). Second-generation PLINK: Rising to the challenge of larger and richer datasets. GigaScience, 4(1), 7. https://doi.org/10.1186/s13742-015-0047-8
  • Chen, E., Miller, G. E., Kobor, M. S., & Cole, S. W. (2011). Maternal warmth buffers the effects of low early-life socioeconomic status on pro-inflammatory signaling in adulthood. Molecular Psychiatry, 16(7), 729–737. https://doi.org/10.1038/mp.2010.53
  • Cheung, W. A., Shao, X., Morin, A., Siroux, V., Kwan, T., Ge, B., Aïssi, D., Chen, L., Vasquez, L., Allum, F., Guénard, F., Bouzigon, E., Simon, -M.-M., Boulier, E., Redensek, A., Watt, S., Datta, A., Clarke, L., Flicek, P., Paul, D. S., … Grundberg, E. (2017). Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome. Genome Biology, 18(1), 50. https://doi.org/10.1186/s13059-017-1173-7
  • Chisholm, J. S. (1996). The evolutionary ecology of attachment organization. Human Nature (Hawthorne, N.Y.), 7(1), 1–37. https://doi.org/10.1007/BF02733488
  • Chopik, W. J., Edelstein, R. S., & Grimm, K. J. (2019). Longitudinal changes in attachment orientation over a 59-year period. Journal of Personality and Social Psychology, 116(4), 598–611. https://doi.org/10.1037/pspp0000167
  • Conradt, E., & Ablow, J. (2010). Infant physiological response to the still-face paradigm: Contributions of maternal sensitivity and infants’ early regulatory behavior. Infant Behavior and Development, 33(3), 251–265. https://doi.org/10.1016/j.infbeh.2010.01.001
  • Croft, D., O’Kelly, G., Wu, G., Haw, R., Gillespie, M., Matthews, L., Caudy, M., Garapati, P., Gopinath, G., Jassal, B., Jupe, S., Kalatskaya, I., Mahajan, S., May, B., Ndegwa, N., Schmidt, E., Shamovsky, V., Yung, C., Birney, E., D’Eustachio, P., & Stein, L. (2011). Reactome: A database of reactions, pathways and biological processes. Nucleic Acids Research, 39(SUPPL. Database), D691–D697. https://doi.org/10.1093/nar/gkq1018
  • Cyr, C., Euser, E. M., Bakermans-Kranenburg, M. J., & Van Ijzendoorn, M. H. (2010). Attachment security and disorganization in maltreating and high-risk families: A series of meta-analyses. Development and Psychopathology, 22(1), 87–108. https://doi.org/10.1017/S0954579409990289
  • Dall’ Aglio, L., Rijlaarsdam, J., Mulder, R. H., Neumann, A., Felix, J. F., Kok, R., Bakermans-Kranenburg, M. J., van Ijzendoorn, M. H., Tiemeier, H., & Cecil, C. A. M. (2020). Epigenome-wide associations between observed maternal sensitivity and offspring DNA methylation: A population-based prospective study in children. Psychological Medicine, 1–11. https://doi.org/10.1017/S0033291720004353
  • Darling Rasmussen, P., & Storebø, O. J. (2021). Attachment and Epigenetics: A Scoping Review of Recent Research and Current Knowledge. Psychological Reports, 124(2), 479–501. https://doi.org/10.1177/0033294120901846
  • Darling Rasmussen, P., Storebø, O. J., Løkkeholt, T., Voss, L. G., Shmueli-Goetz, Y., Bojesen, A. B., Simonsen, E., & Bilenberg, N. (2019). Attachment as a Core Feature of Resilience: A Systematic Review and Meta-Analysis. Psychological Reports, 122(4), 1259–1296. https://doi.org/10.1177/0033294118785577
  • de Ruiter, C., & van Ijzendoorn, M. H. (1993). Attachment and cognition: A review of the literature. International Journal of Educational Research, 19 (6), 525–540. https://dare.uva.nl/search?identifier=a5e9be2c-e78a-42f5-a699-f44052364b0b. .
  • Du, P., Kibbe, W. A., & Lin, S. M. (2018). Lumi : A Pipeline for Processing Illumina Microarray. 24(13), 1547–1548. https://doi.org/10.1093/bioinformatics/btn224
  • Edelstein, R. S. (2006). Attachment and emotional memory: Investigating the source and extent of avoidant memory impairments. Emotion, 6(2), 340–345. https://doi.org/10.1037/1528-3542.6.2.340
  • Edgar, R. D., Jones, M. J., Meaney, M. J., Turecki, G., & Kobor, M. S. (2017). BECon: A tool for interpreting DNA methylation findings from blood in the context of brain. Translational Psychiatry, 7(8), e1187–e1187. https://doi.org/10.1038/tp.2017.171
  • Edgar, R. D., Jones, M. J., Robinson, W. P., & Kobor, M. S. (2017). An empirically driven data reduction method on the human 450K methylation array to remove tissue specific non-variable CpGs. Clinical Epigenetics, 9(1), 1–8. https://doi.org/10.1186/s13148-017-0320-z
  • Efron, B. (2007). Correlation and large-scale simultaneous significance testing. Journal of the American Statistical Association, 102(477), 93–103. https://doi.org/10.1198/016214506000001211
  • Efron, B., Tibshirani, R., Storey, J. D., & Tusher, V. (2001). Empirical bayes analysis of a microarray experiment. Journal of the American Statistical Association, 96(456), 1151–1160. https://doi.org/10.1198/016214501753382129
  • Ehrlich, K. B., Ross, K. M., Chen, E., & Miller, G. E. (2016). Testing the biological embedding hypothesis: Is early life adversity associated with a later proinflammatory phenotype? Development and Psychopathology, 28(4pt2), 1273–1283. https://doi.org/10.1017/S0954579416000845
  • Ernst, J., & Kellis, M. (2017). Chromatin-state discovery and genome annotation with ChromHMM. Nature Publishing Group, 12(12), 2478. https://doi.org/10.1038/nprot.2017.124
  • Esposito, E. A., Jones, M. J., Doom, J. R., Macisaac, J. L., Gunnar, M. R., & Kobor, M. S. (2016). Differential DNA methylation in peripheral blood mononuclear cells in adolescents exposed to significant early but not later childhood adversity. Development and Psychopathology, 28(4pt2), 1385–1399. https://doi.org/10.1017/S0954579416000055
  • Essex, M. J., Thomas Boyce, W., Hertzman, C., Lam, L. L., Armstrong, J. M., Neumann, S. M. A., & Kobor, M. S. (2013). Epigenetic Vestiges of Early Developmental Adversity: Childhood Stress Exposure and DNA Methylation in Adolescence. Child Development, 84(1), 58–75. https://doi.org/10.1111/j.1467-8624.2011.01641.x
  • Filzmoser, P., Hron, K., & Reimann, C. (2009). Principal component analysis for compositional data with outliers. Environmetrics: The Official Journal of the International Environmetrics Society, 20(6), 621–632.
  • Fortin, J., Triche, T. J., & Hansen, K. D. (2017). Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi. Bioinformatics, 33(4), 558–560.
  • Fraley, R. C. (2019). Attachment in Adulthood: Recent Developments, Emerging Debates, and Future Directions. Annual Review of Psychology, 70(1), 401–422. https://doi.org/10.1146/annurev-psych-010418-102813
  • Fuller, B., Bein, E., Bridges, M., Halfon, N., Jung, S., Rabe-Hesketh, S., & Kuo, A. (2010). Maternal Practices That Influence Hispanic Infants‘ Health and Cognitive Growth. Pediatrics, 125(2), 324. https://doi.org/10.1542/peds.2009-0496
  • Ganter, B., Tugendreich, S., Pearson, C. I., Ayanoglu, E., Baumhueter, S., Bostian, K. A., Brady, L., Browne, L. J., Calvin, J. T., Day, G.-J., Breckenridge, N., Dunlea, S., Eynon, B. P., Furness, L. M., Ferng, J., Fielden, M. R., Fujimoto, S. Y., Gong, L., Hu, C., Judo, M. S. B., … Jarnagin, K. (2005). Development of a large-scale chemogenomics database to improve drug candidate selection and to understand mechanisms of chemical toxicity and action. Journal of Biotechnology, 119(3), 219–244. https://doi.org/10.1016/j.jbiotec.2005.03.022
  • Garg, E., Chen, L. I., Nguyen, T. T. T., Pokhvisneva, I., Chen, L. M., Unternaehrer, E., … O’donnell, K. J. (2018). The early care environment and DNA methylome variation in childhood. Development and Psychopathology, 30(3), 891–903. https://doi.org/10.1017/S0954579418000627
  • Gatev, E., Gladish, N., Mostafavi, S., & Kobor, M. S. (2020). CoMeBack: DNA methylation array data analysis for co-methylated regions. Bioinformatics, 36(9), 2675–2683. Retrieved July 17, 2020, from Bioinformatics website: https://academic.oup.com/bioinformatics/article/36/9/2675/5716323
  • Gershoni-Emek, N., Mazza, A., Chein, M., Gradus-Pery, T., Xiang, X., Li, K. W., Sharan, R., & Perlson, E. (2016). Proteomic analysis of dynein-interacting proteins in amyotrophic lateral sclerosis synaptosomes reveals alterations in the RNA-binding protein staufen. Molecular and Cellular Proteomics, 15(2), 506–522. https://doi.org/10.1074/mcp.M115.049965
  • Gertz, J., Varley, K. E., Reddy, T. E., Bowling, K. M., Pauli, F., Parker, S. L., Willard, H. F., Myers, R. M., & Kucera, K. S. (2011). Analysis of DNA Methylation in a Three-Generation Family Reveals Widespread Genetic Influence on Epigenetic Regulation. PLoS Genetics, 7(8), e1002228. https://doi.org/10.1371/journal.pgen.1002228
  • Gervin, K., Salas, L. A., Bakulski, K. M., Van Zelm, M. C., Koestler, D. C., Wiencke, J. K., Duijts, L., Moll, H. A., Kelsey, K. T., Kobor, M. S., Lyle, R., Christensen, B. C., Felix, J. F., & Jones, M. J. (2019). Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data. Clinical Epigenetics, 11(1), 1–15. https://doi.org/10.1186/s13148-019-0717-y
  • Gómez-Olarte, S., Bolaños, N. I., Echeverry, M., Rodríguez, A. N., Cuéllar, A., Puerta, C. J., Mariño, A., & González, J. M. (2019). Intermediate Monocytes and Cytokine Production Associated With Severe Forms of Chagas Disease. Frontiers in Immunology, 10, 1671. https://doi.org/10.3389/fimmu.2019.01671
  • Gong, L.-B., Wen, T., Li, Z., Xin, X., Che, X.-F., Wang, J., Liu, Y.-P., & Qu, X.-J. (2019). DYNC1I1 Promotes the Proliferation and Migration of Gastric Cancer by Up-Regulating IL-6 Expression. Frontiers in Oncology, 9(JUN), 491. https://doi.org/10.3389/fonc.2019.00491
  • Graw, S., Henn, R., Thompson, J. A., & Koestler, D. C. (2019). PwrEWAS: A user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS). BMC Bioinformatics, 20(1), 1–11. https://doi.org/10.1186/s12859-019-2804-7
  • Groh, A. M., Roisman, G. I., Booth-Laforce, C., Fraley, R. C., Owen, M. T., Cox, M. J., & Burchinal, M. R. (2014). IV. Stability of attachment security from infancy to late adolescence. Monographs of the Society for Research in Child Development, 79(3), 51–66. https://doi.org/10.1111/mono.12113
  • Gu, X., Mao, X., Lussier, M. P., Hutchison, M. A., Zhou, L., Hamra, F. K., Roche, K. W., & Lu, W. (2016). GSG1L suppresses AMPA receptor-mediated synaptic transmission and uniquely modulates AMPA receptor kinetics in hippocampal neurons. Nature Communications, 7(1), 1–18. https://doi.org/10.1038/ncomms10873
  • Haertle, L., Müller, T., Lardenoije, R., Maierhofer, A., Dittrich, M., Riemens, R. J. M., Stora, S., Roche, M., Leber, M., Riedel-Heller, S., Wagner, M., Scherer, M., Ravel, A., Mircher, C., Cieuta-Walti, C., Durand, S., van de Hove, D. L. A., Hoffmann, P., Ramirez, A., El Hajj, N., & Mégarbané, A. (2019). Methylomic profiling in trisomy 21 identifies cognition- and Alzheimer’s disease-related dysregulation. Clinical Epigenetics, 11(1), 1. https://doi.org/10.1186/s13148-019-0787-x
  • Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S. V., Zhang, L., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., Deconde, R., Chen, M., Rajapakse, I., Friend, S., Ideker, T., & Zhang, K. (2013). Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates. Molecular Cell, 49(2), 359–367. https://doi.org/10.1016/j.molcel.2012.10.016
  • Hazan, C., & Shaver, P. R. (1994). Deeper Into Attachment Theory. Psychological Inquiry, 5(1), 68–79. https://doi.org/10.1207/s15327965pli0501_15
  • Henneman, P., Bouman, A., Mul, A., Knegt, L., Van Der Kevie-Kersemaekers, A.-M., Zwaveling-Soonawala, N., van Trotsenburg, A. S. P., Mannens, M. M., & Meijers-Heijboer, H. E. J. (2018). Widespread domain-like perturbations of DNA methylation in whole blood of Down syndrome neonates. PLoS ONE, 13(3), 3. https://doi.org/10.1371/journal.pone.0194938
  • Hermansen, M. C. (2001). Nucleated red blood cells in the fetus and newborn. Archives of Disease in Childhood - Fetal and Neonatal Edition, 84(3), F211–F215. https://doi.org/10.1136/fn.84.3.F211
  • Hertzman, C. (1999). The Biological Embedding of Early Experience and Its Effects on Health in Adulthood. Annals of the New York Academy of Sciences, 896(1), 85–95. https://doi.org/10.1111/j.1749-6632.1999.tb08107.x
  • Hertzman, C. (2012). Putting the concept of biological embedding in historical perspective. Proceedings of the National Academy of Sciences of the United States of America, 109(Suppl._2), 17160–17167. https://doi.org/10.1073/pnas.1202203109
  • Holland, S. M. (2019). Principal Components Analysis (PCA). Athens.
  • Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012). DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics, 13(1), 86. https://doi.org/10.1186/1471-2105-13-86
  • Hoye, J. R., Cheishvili, D., Yarger, H. A., Roth, T. L., Szyf, M., & Dozier, M. (2020). Preliminary indications that the Attachment and Biobehavioral Catch-up Intervention alters DNA methylation in maltreated children. Development and Psychopathology, 32(4), 1486–1494. https://doi.org/10.1017/S0954579419001421
  • Islam, S. A., Goodman, S. J., Macisaac, J. L., Obradović, J., Barr, R. G., Boyce, W. T., & Kobor, M. S. (2019). Integration of DNA methylation patterns and genetic variation in human pediatric tissues help inform EWAS design and interpretation. Epigenetics & Chromatin, 12(1), 1. https://doi.org/10.1186/s13072-018-0245-6
  • Jacobi, E., & Engelhardt, J. (2021). Modulation of information processing by AMPA receptor auxiliary subunits. The Journal of Physiology, 599(2), 471–483. https://doi.org/10.1113/JP276698
  • Johnson, W. E., Li, C., & Rabinovic, A. (2007). Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics, 8(1), 118–127. https://doi.org/10.1093/biostatistics/kxj037
  • Jones, M. J., Moore, S. R., & Kobor, M. S. (2018). Annual Review of Psychology Principles and Challenges of Applying Epigenetic Epidemiology to Psychology. Annual Review of Psychology, 69(1), 459–485. https://doi.org/10.1146/annurev-psych-122414-033653
  • Jong, E., Strunk, T., Burgner, D., Lavoie, P. M., & Currie, A. (2017). The phenotype and function of preterm infant monocytes: Implications for susceptibility to infection. Journal of Leukocyte Biology, 102(3), 645–656. https://doi.org/10.1189/jlb.4RU0317-111R
  • Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002). The Human Genome Browser at UCSC. Genome Research, 12(6), 996–1006. https://doi.org/10.1101/gr.229102
  • Khan, F., Chong, J. Y., Theisen, J. C., Fraley, R. C., Young, J. F., & Hankin, B. L. (2020). Development and change in attachment: A multiwave assessment of attachment and its correlates across childhood and adolescence. Journal of Personality and Social Psychology, 118(6), 1188–1206. https://doi.org/10.1037/pspi0000211
  • Koestler, D. C., Jones, M. J., Usset, J., Christensen, B. C., Butler, R. A., Kobor, M. S., Wiencke, J. K., & Kelsey, K. T. (2016). Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL). BMC Bioinformatics, 17(1), 1–21. https://doi.org/10.1186/s12859-016-0943-7
  • Kolb, B., Mychasiuk, R., Muhammad, A., Li, Y., Frost, D. O., & Gibb, R. (2012). Experience and the developing prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America, 109(SUPPL.2), 17186–17196. https://doi.org/10.1073/pnas.1121251109
  • Korthauer, K., Kimes, P. K., Duvallet, C., Reyes, A., Subramanian, A., Teng, M., … Hicks, S. C. (2019). A practical guide to methods controlling false discoveries in computational biology. Genome Biology, 20(1), 118. https://doi.org/10.1186/s13059-019-1716-1
  • Lam, L. L., Emberly, E., Fraser, H. B., Neumann, S. M., Chen, E., Miller, G. E., & Kobor, M. S. (2012). Factors underlying variable DNA methylation in a human community cohort. PNAS, 109(Suppl. 2), 17253–17260. https://doi.org/10.1073/pnas.1121249109
  • Letourneau, N. L., Tryphonopoulos, P. D., Novick, J., Hart, J. M., Giesbrecht, G., & Oxford, M. L. (2018). Nursing Child Assessment Satellite Training Parent-Child Interaction Scales: Comparing American and Canadian Normative and High-Risk Samples. Journal of Pediatric Nursing, 40, 47–57. https://doi.org/10.1016/j.pedn.2018.02.016
  • Louis, F., Piron, G., Schaaf-Lafontaine, R., & Belaiche. (1998). Tumour necrosis factor (TNF) gene polymorphism influences TNF-α production in lipopolysaccharide (LPS)-stimulated whole blood cell culture in healthy humans. Clinical & Experimental Immunology, 113(3), 401–406. https://doi.org/10.1046/j.1365-2249.1998.00662.x
  • Luecken, L. J., & Lemery, K. S. (2004). Early caregiving and physiological stress responses. Clinical Psychology Review, 24(2), 171–191. https://doi.org/10.1016/j.cpr.2004.01.003
  • Lundgaard, I., Li, B., Xie, L., Kang, H., Sanggaard, S., Haswell, J. D. R., … Nedergaard, M. (2015). Direct neuronal glucose uptake heralds activity-dependent increases in cerebral metabolism. Nature Communications, 6(1), 1–12. https://doi.org/10.1038/ncomms7807
  • Madigan, S., Moran, G., Schuengel, C., Pederson, D. R., & Otten, R. (2007). Unresolved maternal attachment representations, disrupted maternal behavior and disorganized attachment in infancy: Links to toddler behavior problems. Journal of Child Psychology and Psychiatry, 48(10), 1042–1050. https://doi.org/10.1111/j.1469-7610.2007.01805.x
  • Main, M., & Solomon, J. (1986). Discovery of an insecure-disorganized/disoriented attachment pattern. In T. B. Brazelton & M. W. Yogman (Eds.), Affective development in infancy (pp. 95–124). Ablex Publishing. https://psycnet.apa.org/record/1986-97821–005
  • Main, M., & Hesse, E. (1990). Parents’ unresolved traumatic experiences are related to infant disorganized attachment status: Is frightened and/or frightening parental behavior the linking mechanism? In M. T. Greenberg, D. Cicchetti, & E. M. Cummings (Eds.), The John D. and Catherine T. MacArthur Foundation series on mental health and development. Attachment in the preschool years: Theory, research, and intervention (pp. 161–182). University of Chicago Press. https://psycnet.apa.org/record/1990-98514-005
  • Main, M., & Solomon, J. (1990). Procedures for identifying infants as disorganized/disoriented during the Ainsworth strange situation. In M. T. Greenberg, D. Cicchetti, & E. M. Cummings (Eds.), Attachment in the Preschool Years: Theory, Research, and Intervention (pp. 121–160). The University of Chicago Press. https://books.google.ca/books?hl=en&lr=&id=WzHIfiCXE8EC&oi=fnd&pg=PA121&dq=Main,+M.,+%26+Solomon,+J.+(1990).+Procedures+for+identifying+infants+as+disorganized/disoriented+during+the+Ainsworth+strange+situation.+In+M.+Greenberg,+D.+Cicchetti,+%26+E.+M.+Cummings+(Eds.),+Attachment+in+the+preschool+years+(pp.+121-160).+University+of+Ch&ots=WVogvEysUs&sig=HxkmRQsNsHN_crrHDytIL471krg&redir_esc=y#v=onepage&q&f=false
  • Main, M., & Stadtman, J. (1981). Infant Response to Rejection of Physical Contact by the Mother. Journal of the American Academy of Child Psychiatry, 20(2), 292–307. https://doi.org/10.1016/S0002-7138(09)60990-0
  • Malhotra, A. K., Kestler, L. J., Mazzanti, C., Bates, J. A., Goldberg, T., & Goldman, D. (2002). A functional polymorphism in the COMT gene and performance on a test of prefrontal cognition. American Journal of Psychiatry, 159(4), 652–654. https://doi.org/10.1176/appi.ajp.159.4.652
  • Maltby, V. E., Lea, R. A., Graves, M. C., Sanders, K. A., Benton, M. C., Tajouri, L., … Lechner-Scott, J. (2018). Genome-wide DNA methylation changes in CD19+ B cells from relapsing-remitting multiple sclerosis patients. Scientific Reports, 8(1), 1–10. https://doi.org/10.1038/s41598-018-35603-0
  • Mao, X., Gu, X., & Lu, W. (2017). GSG1L regulates the strength of AMPA receptor-mediated synaptic transmission but not AMPA receptor kinetics in hippocampal dentate granule neurons. Journal of Neurophysiology, 117(1), 28–35. https://doi.org/10.1152/jn.00307.2016
  • Marioni, R. E., Mcrae, A. F., Bressler, J., Colicino, E., Hannon, E., Li, S., … Deary, I. J. (2018). Meta-analysis of epigenome-wide association studies of cognitive abilities. Molecular Psychiatry, 23(11), 2133–2144. https://doi.org/10.1038/s41380-017-0008-y
  • Mayne, J. (2012). Contribution analysis: Coming of age? Evaluation, 18(3), 270–280. https://doi.org/10.1177/1356389012451663
  • Mcgowan, P. O., Suderman, M., Sasaki, A., Huang, T. C. T., Hallett, M., Meaney, M. J., & Szyf, M. (2011). Broad Epigenetic Signature of Maternal Care in the Brain of Adult Rats. PLoS One, 6(2), e14739. https://doi.org/10.1371/journal.pone.0014739
  • Measelle, J. R., & Ablow, J. C. (2018). Contributions of early adversity to pro-inflammatory phenotype in infancy: The buffer provided by attachment security. Attachment and Human Development, 20(1), 1–23. https://doi.org/10.1080/14616734.2017.1362657
  • Measelle, J. R., David, J., & Ablow, J. C. (2017). Increased levels of inflammation among infants with disorganized histories of attachment. Behavioural Brain Research, 325(Part B), 260–267. https://doi.org/10.1016/j.bbr.2016.12.001
  • Meins, E. (1997). Security of attachment and the social development of cognition. In Essays in developmental psychology. Psychology Press. Retrieved October 15, 2020, from https://psycnet.apa.org/record/1997-36371–000
  • Mendenhall, E. M., & Bernstein, B. E. (2008). Chromatin state maps: New technologies, new insights. Current Opinion in Genetics and Development, 18(2), 109–115. https://doi.org/10.1016/j.gde.2008.01.010
  • Merrill, S. M., Gladish, N., & Kobor, M. S. (2019). Social environment and epigenetics. In Current topics in behavioral neurosciences (vol. 42, pp. 83–126). Springer. https://doi.org/10.1007/7854_2019_114
  • Mesman, J., van Ijzendoorn, M. H., & Sagi-Schwartz, A. (2016). Cross-cultural patterns of attachment: Universal and contextual dimensions. In J. Cassidy & P. R. Shaver (Eds.), Handbook of attachment: Theory, research, and clinical applications (3rded., pp. 852–877). The Guilford Press. https://d1wqtxts1xzle7.cloudfront.net/49637071/chapter_handbook_2016.pdf?1476616663=&response-content-disposition=inline%3B+filename%3DCross_cultural_patterns_of_attachment_Un.pdf&Expires=1614329839&Signature=dJ0goq4KDS5lrZw2oQ1xxPTWW2VYpUZT-d9EiMUR9QR-NJSuU0-BE13DXEpB1v-PS1JoFPFfd85xQL4pt~yejXURYQCZqVAk2Bu1Umv5tntDiAyKF38CdmecBbPpqIs9waxapZ7S4IRRmGLXN1o1~YfvFpiCcsdyCGJRVbxqid8c0vCSf3cCc3eIpH4d5cWuSeiMIPbONMm2pvJ73Tt5-fQJYtc3K-PrrJlNDCnwyktiH34pTXm2oXTu55frL6RyjKCUQ73l23hkLss-NTspN6n59WUi7b-1-~b1lBZdkRDN3eDNf~RGuWxWJuaDaEaaPjWRxRRXpe6heXe7VQJ0hA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
  • Mi, G., Di, Y., Emerson, S., Cumbie, J. S., & Chang, J. H. (2012). Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression. PLoS ONE, 7(10), 46128. https://doi.org/10.1371/journal.pone.0046128
  • Miller, G. E., & Chen, E. (2010). Harsh family climate in early life presages the emergence of a proinflammatory phenotype in adolescence. Psychological Science : A Journal of the American Psychological Society/APS, 21(6), 848–856. https://doi.org/10.1177/0956797610370161
  • Miller, G. E., Chen, E., & Parker, K. J. (2011). Psychological Stress in Childhood and Susceptibility to the Chronic Diseases of Aging: Moving Toward a Model of Behavioral and Biological Mechanisms. Psychological Bulletin, 137(6), 959–997. https://doi.org/10.1037/a0024768
  • Mooney, M. A., Ryabinin, P., Wilmot, B., Bhatt, P., Mill, J., & Nigg, J. T. (2020). Large epigenome-wide association study of childhood ADHD identifies peripheral DNA methylation associated with disease and polygenic risk burden. Translational Psychiatry, 10(1), 1–12. https://doi.org/10.1038/s41398-020-0710-4
  • Moore, S. R., Mcewen, L. M., Mah, S. M., & Kobor, M. S. (2017). Epigenetic correlates of neonatal contact in humans. Development and Psychopathology, 29(5), 1517–1538. https://doi.org/10.1017/S0954579417001213
  • Moss, E., & St-Laurent, D. (2001). Attachment at school age and academic performance. Developmental Psychology, 37(6), 863–874. https://doi.org/10.1037/0012-1649.37.6.863
  • Nagy, C., & Turecki, G. (2012). Sensitive periods in epigenetics: Bringing us closer to complex behavioral phenotypes. Epigenomics, 4(4), 445–457. https://doi.org/10.2217/epi.12.37
  • Oxford, M. & Finlay, D. (2013). Parent-Child Interaction Teaching Scale manual(2nd ed.). NCAST Programs.
  • Pérez, R. F., Santamarina, P., Tejedor, J. R., Urdinguio, R. G., Álvarez-Pitti, J., Redon, P., … Lurbe, E. (2019). Longitudinal genome-wide DNA methylation analysis uncovers persistent early-life DNA methylation changes. Journal of Translational Medicine, 17(1), 1–16. https://doi.org/10.1186/s12967-018-1751-9
  • Pidsley, R., Wong, Y., Volta, C. C., Lunnon, M., Mill, J., K., & Schalkwyk, L. C. (2013). A data-driven approach to preprocessing Illumina 450K methylation array data. In BMC Genomics, 14(1), 1–10. http://www.biomedcentral.com/1471-2164/14/293.
  • Pidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Djik, S., Muhlhausler, B., Stirzaker, C. & Clark, S. J. (2016). Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biology, 17(1), 1–17.
  • Pietromonaco, P. R., & Powers, S. I. (2015, February). Attachment and health-related physiological stress processes. Current Opinion in Psychology, 1, 34–39. https://doi.org/10.1016/j.copsyc.2014.12.001
  • Prame Kumar, K., Nicholls, A. J., & Wong, C. H. Y. (2018). Partners in crime: Neutrophils and monocytes/macrophages in inflammation and disease. Cell and Tissue Research, 371(3), 551–565. https://doi.org/10.1007/s00441-017-2753-2
  • Price, E. M., Cotton, A. M., Lam, L. L., Farré, P., Emberly, E., Brown, C. J., … Kobor, M. S. (2013). Additional annotation enhances potential for biologically-relevant analysis of the Illumina Infinium HumanMethylation450 BeadChip array. Epigenetics & Chromatin, 6(1), 1–15. https://doi.org/10.1186/1756-8935-6-4
  • Provenzi, L., Brambilla, M., Scotto di Minico, G., Montirosso, R., & Borgatti, R. (2020). Maternal caregiving and DNA methylation in human infants and children: Systematic review. Genes, Brain and Behavior, 19(3), e12616. https://doi.org/10.1111/gbb.12616
  • Puig, J., Englund, M. M., Simpson, J. A., & Collins, W. A. (2013). Predicting adult physical illness from infant attachment: A prospective longitudinal study. Health Psychology, 32(4), 409–417. https://doi.org/10.1037/a0028889
  • Ren, X., & Kuan, P. F. (2019). methylGSA: A Bioconductor package and Shiny app for DNA methylation data length bias adjustment in gene set testing | Bioinformatics | Oxford Academic. Bioinformatics, 35 (11), 1958–1959. https://academic.oup.com/bioinformatics/article/35/11/1958/5140219
  • Repetti, R. L., Taylor, S. E., & Seeman, T. E. (2002). Risky families: Family social environments and the mental and physical health of offspring. Psychological Bulletin, 128(2), 330–366. https://doi.org/10.1037/0033-2909.128.2.330
  • Robakis, T. K., Zhang, S., Rasgon, N. L., Li, T., Wang, T., Roth, M. C., … Urban, A. E. (2020). Epigenetic signatures of attachment insecurity and childhood adversity provide evidence for role transition in the pathogenesis of perinatal depression. Translational Psychiatry, 10(1), 1–14. https://doi.org/10.1038/s41398-020-0703-3
  • Roberts, A. L., Gladish, N., Gatev, E., Jones, M. J., Chen, Y., MacIsaac, J. L., Tworoger, S. S., Austin, S.B., Tanrikut, C., Chavarro, J. E. Baccarelli, A. A., & Kobor, M. S. (2018). Exposure to childhood abuse is associated with human sperm DNA methylation. Translational Psychiatry, 8(1), 1–11.
  • Samson, L. D., Boots, A. M. H., Verschuren, W. M. M., Picavet, H. S. J., Engelfriet, P., & Buisman, A. M. (2019, October). Frailty is associated with elevated CRP trajectories and higher numbers of neutrophils and monocytes. Experimental Gerontology, 125, 110674. https://doi.org/10.1016/j.exger.2019.110674
  • Shah, P. E., Fonagy, P., & Strathearn, L. (2010). Is attachment transmitted across generations? the plot thickens. Clinical Child Psychology and Psychiatry, 15(3), 329–345. https://doi.org/10.1177/1359104510365449
  • Sherman, L. J., Rice, K., & Cassidy, J. (2015, September). Infant capacities related to building internal working models of attachment figures: A theoretical and empirical review. Developmental Review, 37, 109–141. https://doi.org/10.1016/j.dr.2015.06.001
  • Slopen, N., Kubzansky, L. D., McLaughlin, K. A., & Koenen, K. C. (2013). Childhood adversity and inflammatory processes in youth: A prospective study. Psychoneuroendocrinology, 38(2), 188–200. https://doi.org/10.1016/j.psyneuen.2012.05.013
  • Smith, A. K., Kilaru, V., Kocak, M., Almli, L. M., Mercer, K. B., Ressler, K. J., … Conneely, K. N. (2014). Methylation quantitative trait loci (meQTLs) are consistently detected across ancestry, developmental stage, and tissue type. BMC Genomics, 15(1), 1–11. https://doi.org/10.1186/1471-2164-15-145
  • Sroufe, L. A. (2005). Attachment and development: A prospective, longitudinal study from birth to adulthood. Attachment and Human Development, 7(4), 349–367. https://doi.org/10.1080/14616730500365928
  • Sroufe, L. A., Carlson, E. A., Levy, A. K., & Egeland, B. (1999). Implications of attachment theory for developmental psychopathology. Development and Psychopathology, 11(1), 1–13. https://doi.org/10.1017/S0954579499001923
  • ter Braak, C. J. F. (1992). Permutation Versus Bootstrap Significance Tests in Multiple Regression and Anova. In K. Jöckel, G. Rothe, & W. Sendler, (Eds.), Bootstrapping and Related Techniques (pp. 79–85). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48850-4_10
  • Ursini, G., Bollati, V., Fazio, L., Porcelli, A., Iacovelli, L., Catalani, A., … Bertolino, A. (2011). Stress-related methylation of the catechol-O-methyltransferase val158 allele predicts human prefrontal cognition and activity. Journal of Neuroscience, 31(18), 6692–6698. https://doi.org/10.1523/JNEUROSCI.6631-10.2011
  • Van Ijzendoorn, M. H., Schuengel, C., & Bakermans-Kranenburg, M. J. (1999). Disorganized attachment in early childhood: Meta-analysis of precursors, concomitants, and sequelae. Development and Psychopathology, 11(2), 225–249. https://doi.org/10.1017/s0954579499002035
  • Vidrascu, E. M., Bashore, A. C., Howard, T. D., & Moore, J. B. (2019). Effects of early- and mid-life stress on DNA methylation of genes associated with subclinical cardiovascular disease and cognitive impairment: A systematic review. BMC Medical Genetics, 20(1), 1–12. https://doi.org/10.1186/s12881-019-0764-4
  • Walsh, E., Blake, Y., Donati, A., Stoop, R., & Von Gunten, A. (2019). Early secure attachment as a protective factor against later cognitive decline and dementia. Frontiers in Aging Neuroscience, 10(JUL), 161. https://doi.org/10.3389/fnagi.2019.00161
  • Walton, E., Liu, J., Hass, J., White, T., Scholz, M., Roessner, V., … Ehrlich, S. (2014). MB-COMT promoter DNA methylation is associated with working-memory processing in schizophrenia patients and healthy controls. Epigenetics, 9(8), 1101–1107. https://doi.org/10.4161/epi.29223
  • Waters, H. S., & Waters, E. (2006). The attachment working models concept: Among other things, we build script-like representations of secure base experiences. Attachment & Human Development, 8(3), 185–197. https://doi.org/10.1080/14616730600856016
  • West, K. K., Mathews, B. L., & Kerns, K. A. (2013). Mother-child attachment and cognitive performance in middle childhood: An examination of mediating mechanisms. Early Childhood Research Quarterly, 28(2), 259–270. https://doi.org/10.1016/j.ecresq.2012.07.005

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