The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Prenatal exposure to maternal depression, neonatal methylation of human glucocorticoid receptor gene (NR3C1) and infant cortisol stress responses
Open accessAbstract
BACKGROUND: In animal models, variations in early maternal care are associated with differences in hypothalamic-pituitary-adrenal(HPA) stress response in the offspring, mediated via changes in the epigenetic regulation of glucocorticoid receptor (GR) gene (Nr3c1) expression. OBJECTIVE: To study this in humans, relationships between prenatal exposure to maternal mood and the methylation status of a CpG-rich region in the promoter and exon 1F of the human GR gene (NR3C1) in newborns and HPA stress reactivity at age three months were examined. RESULTS: Prenatal exposure to increased third trimester maternal depressed/anxious mood was associated with increased methylation of NR3C1 at a predicted NGFI-A binding site. Increased NR3C1 methylation at this site was also associated with increased salivary cortisol stress responses at 3 months, controlling for prenatal SRI exposure, postnatal age and pre and postnatal maternal mood. METHODS: The methylation status of a CpG-rich region of the NR3C1 gene, including exon 1F, in genomic DNA from cord blood mononuclear cells was quantified by bisulfite pyrosequencing in infants of depressed mothers treated with a serotonin reuptake inhibitor antidepressant (SRI) (n = 33), infants of depressed nontreated mothers (n = 13) and infants of non depressed/non treated mothers (n = 36). To study the functional implications of the newborn methylation status of NR3C1 in newborns, HPA function was assessed at three months using salivary cortisol obtained before and following a non noxious stressor and at a late afternoon basal time. CONCLUSIONS: Methylation status of the human NR3C1 gene in newborns is sensitive to prenatal maternal mood and may offer a potential epigenetic process that links antenatal maternal mood and altered HPA stress reactivity during infancy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“With respect to the promoter and exon 1F of the human GR gene Nr3c1, Oberlander et al. (406) showed specific epigenetic effects (gene hypermethylation) and elevated cortisol stress reactivity in the offspring due to maternal depression even during late pregnancy.”
From Developmental Trajectories of Early Life Stress and Trauma: A Narrative Review on Neurobiological Aspects Beyond Stress System Dysregulation (2019) · cites this paper as [406]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“only the heightened methylation of a CpG island colocalizing with the NGFI-A binding site in newborns predicted infant HPA reactivity in form of an elevated cortisol release during a stress challenge at three months of age”
From The applied implications of epigenetics in anxiety, affective and stress-related disorders - A review and synthesis on psychosocial stress, psychotherapy and prevention (2020) · cites this paper as Oberlander et al., 2008
The cited source says what the claim attributes to it.
In the citing paper
“For example, increased methylation was found in newborns exposed to prenatal stress [57] and the cord blood of mothers with third trimester depression/anxiety [58].”
The cited source says what the claim attributes to it.
In the citing paper
“indicating that maternal mood and offspring HPA axis reactivity may be linked through epigenetic processes and sensitive to fetal developmental stage”
From Intergenerational transmission of trauma effects: putative role of epigenetic mechanisms (2018) · cites this paper as [141]
The cited source says what the claim attributes to it.
In the citing paper
“methylation levels were associated with salivary cortisol stress responses in the newborns at 3 months”
From Intergenerational transmission of trauma effects: putative role of epigenetic mechanisms (2018) · cites this paper as [141]
The cited source says what the claim attributes to it.
In the citing paper
“third trimester maternal depression/anxiety associated with higher methylation of NR3C1 at a predicted NGF1-A binding site 141”
From Intergenerational transmission of trauma effects: putative role of epigenetic mechanisms (2018) · cites this paper as [141]
In the citing paper
“Similar associations between early adversity and GR NR3C1 methylation have recently been demonstrated in humans who likely experienced severe stress or trauma. These samples have included brain tissue of deceased human adults who had committed suicide following a history of child abuse (McGowan et al., 2009), cord blood of infants with depressed mothers (Oberlander et al., 2008), white blood cells”
From Associations Between Early Life Stress and Gene Methylation in Children (2015) · cites this paper as Oberlander et al., 2008
In the citing paper
“adversity-related increases in methylation in this region are associated with decreased gene expression in human postmortem brain tissue (McGowan et al., 2009) and increased physiological stress responding in infants (Oberlander et al., 2008).”
From Associations Between Early Life Stress and Gene Methylation in Children (2015) · cites this paper as Oberlander et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
Detection of Postnatal Depression: Development of the 10-item Edinburgh Postnatal Depression Scale
Cox, J. L., Holden, J. M., & Sagovsky, R. (1987) · British Journal of Psychiatry · doi:10.1192/bjp.150.6.782 · Cited by 14,183
The assessment of anxiety states by rating
HAMILTON, M. (1959) · British Journal of Medical Psychology · doi:10.1111/j.2044-8341.1959.tb00467.x · Cited by 11,455
Epigenetic programming by maternal behavior
Weaver, I. C. G., Cervoni, N., Champagne, F. A., D'Alessio, A. C., Sharma, S., Seckl, J. R., Dymov, S., Szyf, M., & Meaney, M. J. (2004) · Nature Neuroscience · doi:10.1038/nn1276 · Cited by 6,177
What's wrong with Bonferroni adjustments
Perneger, T. V. (1998) · BMJ · doi:10.1136/bmj.316.7139.1236 · Cited by 5,900
Liu, D., Diorio, J., Tannenbaum, B., Caldji, C., Francis, D., Freedman, A., Sharma, S., Pearson, D., Plotsky, P. M., & Meaney, M. J. (1997) · Science · doi:10.1126/science.277.5332.1659 · Cited by 3,170
Meaney, M. J. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1161 · Cited by 2,708
MatInspector and beyond: promoter analysis based on transcription factor binding sites
Cartharius, K., Frech, K., Grote, K., Klocke, B., Haltmeier, M., Klingenhoff, A., Frisch, M., Bayerlein, M., & Werner, T. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti473 · Cited by 2,003
Nongenomic Transmission Across Generations of Maternal Behavior and Stress Responses in the Rat
Francis, D., Diorio, J., Liu, D., & Meaney, M. J. (1999) · Science · doi:10.1126/science.286.5442.1155 · Cited by 1,965
Van den Bergh, B. R. H., Mulder, E. J. H., Mennes, M., & Glover, V. (2005) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2004.10.007 · Cited by 1,104
Flagged first, then by citations
Research works printed but not linked: 4
- [31]31. Oberlander TF, Weinberg J, Mayes L, Riggs W, Rurak D, Papsdorf M, Misri S, Grunau R. Hypothalamic-pituitary-adrenal (HPA) axis function in 3 month old infants with pre- natal serotonin reuptake inhibitor (SRI) antidepressant exposure. Abstract. XVIth Biennial International Conference on Infant Studies. Vancouver, BC 2008.
- [33]33. Prechtl HF, O'Brien MJ. Behavioural states of the full-term newborn: the emergence of a concept. In: Stratton P, editor. Psychobiology of the Human Newborn. New York, NY: John Wiley and Sons Ltd 1982; 53-73.
- [40]40. Abidin RR. Parenting Stress Index. Charlottesville, VA: Pediatric Psychology Press; 1990.
- [43]43. Kim J, Riggs KW, Misri S, Kent N, Oberlander TF, Grunau RE, Fitzgerald C, Rurak DW. Stereoselective disposition of fluoxetine and norfluoxetine during pregnancy and breast- feeding. Br J Clin Pharmacol 2006; 61:155-63.
Cited by
Sorted by citations
Items 201–300 of 1,000
Drake, A. J., McPherson, R. C., Godfrey, K. M., Cooper, C. C., Lillycrop, K. A., Hanson, M. A., Meehan, R. R., Seckl, J. R., & Reynolds, R. M. (2012) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2012.04453.x · Cited by 137
Early life programming as a target for prevention of child and adolescent mental disorders
Lewis, A. J., Galbally, M., Gannon, T., & Symeonides, C. (2014) · BMC Medicine · doi:10.1186/1741-7015-12-33 · Cited by 149
Kember, R. L., Dempster, E. L., Lee, T. H. A., Schalkwyk, L. C., Mill, J., & Fernandes, C. (2012) · Brain and Behavior · doi:10.1002/brb3.69 · Cited by 133
Premature Birth and Developmental Programming: Mechanisms of Resilience and Vulnerability
Lammertink, F., Vinkers, C. H., Tataranno, M. L., & Benders, M. J. N. L. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.531571 · Cited by 145
Role of glucocorticoid in developmental programming: Evidence from zebrafish
Nesan, D., & Vijayan, M. M. (2012) · General and Comparative Endocrinology · doi:10.1016/j.ygcen.2012.10.006 · Cited by 136
Choi, C. S., Gonzales, E. L., Kim, K. C., Yang, S. M., Kim, J., Mabunga, D. F. N., Cheong, J. H., Han, S., Bahn, G. H., & Shin, C. Y. (2016) · Scientific Reports · doi:10.1038/srep36250 · Cited by 136
Lifestyle, Pregnancy and Epigenetic Effects
Barua, S., & Junaid, M. A. (2015) · Epigenomics · doi:10.2217/epi.14.71 · Cited by 129
Radtke, K. M., Schauer, M., Gunter, H. M., Ruf-Leuschner, M., Sill, J., Meyer, A., & Elbert, T. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.63 · Cited by 128
Duman, E. A., & Canli, T. (2015) · Biology of Mood & Anxiety Disorders · doi:10.1186/s13587-015-0017-x · Cited by 136
Schepanski, S. N., Buß, C., Hanganu‐Opatz, I. L., & Arck, P. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02186 · Cited by 137
Cultural trauma and epigenetic inheritance
Lehrner, A. L., & Yehuda, R. (2018) · Development and Psychopathology · doi:10.1017/s0954579418001153 · Cited by 144
Environmental exposures influence multigenerational epigenetic transmission
Klibaner-Schiff, E., Simonin, E. M., Akdiş, C. A., Cheong, A. W. Y., Johnson, M. M. D., Karagas, M. R., Kirsh, S., Kline, O., Mazumdar, M., Oken, E., et al. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01762-3 · Cited by 138
The EPIIC hypothesis: Intrapartum effects on the neonatal epigenome and consequent health outcomes
Dahlen, H. G., Kennedy, H. P., Anderson, C. M., Bell, A. F., Clark, A. E., Foureur, M. J., Ohm, J. E., Shearman, A. M., Taylor, J. Y., Wright, M. L., et al. (2013) · Medical Hypotheses · doi:10.1016/j.mehy.2013.01.017 · Cited by 136
Prescient Human Fetuses Thrive
Sandman, C. A., Davis, E. P., & Glynn, L. M. (2011) · Psychological Science · doi:10.1177/0956797611422073 · Cited by 137
Stimulated Gene Expression Profiles as a Blood Marker of Major Depressive Disorder
Spijker, S., van Zanten, J. S., de Jong, S., Penninx, B. W. J. H., van Dyck, R., Zitman, F. G., Smit, J. H., Ylstra, B., Smit, A. B., & Hoogendijk, W. J. G. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.03.017 · Cited by 127
Genetic approaches to understanding post-traumatic stress disorder
Almli, L. M., Fani, N., Smith, A. K., & Ressler, K. J. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145713001090 · Cited by 124
Agorastos, A., Pervanidou, P., Chrousos, G. P., & Kolaitis, G. A. (2018) · HORMONES · doi:10.1007/s42000-018-0065-x · Cited by 139
Watkeys, O. J., Kremerskothen, K., Quidé, Y., Fullerton, J. M., & Green, M. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.08.017 · Cited by 123
Differential Susceptibility to Environmental Influences
Belsky, J. (2013) · International journal of child care and education policy/International journal of child care and education · doi:10.1007/2288-6729-7-2-15 · Cited by 142
Yehuda, R., Bierer, L. M., Sarapas, C., Makotkine, I., Andrew, R., & Seckl, J. R. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.03.018 · Cited by 121
Sit, D. K. Y., Luther, J. F., Buysse, D. J., Dills, J. L., Eng, H. F., Okun, M. L., Wisniewski, S. R., & Wisner, K. L. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.04.021 · Cited by 128
A Review of Hypothalamic-Pituitary-Adrenal Axis Function in Chronic Fatigue Syndrome
Tomas, C., Newton, J. L., & Watson, S. (2013) · ISRN Neuroscience · doi:10.1155/2013/784520 · Cited by 128
Epigenetic effects of glucocorticoids
Weaver, I. C. G. (2009) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2008.12.002 · Cited by 123
Conradt, E. D., Hawes, K., Guerin, D. J., Armstrong, D. A., Marsit, C. J., Tronick, E. Z., & Lester, B. M. (2016) · Child Development · doi:10.1111/cdev.12483 · Cited by 126
Marceau, K., Ruttle, P. L., Shirtcliff, E. A., Essex, M. J., & Susman, E. J. (2014) · Developmental Psychobiology · doi:10.1002/dev.21214 · Cited by 122
Tyrka, A. R., Ridout, K. K., & Parade, S. H. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000870 · Cited by 119
Claessens, S. E. F., Daskalakis, N. P., van der Veen, R., Oitzl, M. S., de Kloet, E. R., & Champagne, D. L. (2010) · Psychopharmacology · doi:10.1007/s00213-010-2118-y · Cited by 123
The early‐life social environment and DNA methylation
Szyf, M. (2012) · Clinical Genetics · doi:10.1111/j.1399-0004.2012.01843.x · Cited by 124
Cai, J., Zhao, Y., Liu, P., Xia, B., Zhu, Q., Wang, X., Song, Q., Kan, H., & Zhang, Y. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.07.029 · Cited by 122
Minireview: Transgenerational Inheritance of the Stress Response: A New Frontier in Stress Research
Matthews, S. G., & Phillips, D. I. W. (2009) · Endocrinology · doi:10.1210/en.2009-0916 · Cited by 118
Cattane, N., Richetto, J., & Cattaneo, A. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.07.001 · Cited by 129
Bockmühl, Y., Patchev, A. V., Madejska, A., Hoffmann, A., Sousa, J. C., Sousa, N., Holsboer, F., Almeida, O. F. X., & Spengler, D. (2015) · Epigenetics · doi:10.1080/15592294.2015.1017199 · Cited by 121
Epigenetic Programming by Maternal Behavior in the Human Infant
Lester, B. M., Conradt, E. D., LaGasse, L. L., Tronick, E. Z., Padbury, J. F., & Marsit, C. J. (2018) · PEDIATRICS · doi:10.1542/peds.2017-1890 · Cited by 117
Shaping adult phenotypes through early life environments
Weaver, I. C. G. (2009) · Birth Defects Research Part C Embryo Today Reviews · doi:10.1002/bdrc.20164 · Cited by 121
Bromer, C., Marsit, C. J., Armstrong, D. A., Padbury, J. F., & Lester, B. M. (2012) · Developmental Psychobiology · doi:10.1002/dev.21061 · Cited by 116
Emerging risk of environmental factors: insight mechanisms of Alzheimer’s diseases.
Rahman, M. A., Rahman, M. S., Uddin, M. J., Mamum-Or-Rashid, A. N. M., Pang, M.-G., & Rhim, H. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-08243-z · Cited by 115
Plasticity of the Reward Circuitry After Early-Life Adversity: Mechanisms and Significance
Birnie, M. T., Kooiker, C. L., Short, A. K., Bolton, J. L., Chen, Y., & Baram, T. Z. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.12.018 · Cited by 123
Perinatal stress and early life programming of lung structure and function
Wright, R. J. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.01.007 · Cited by 115
Booij, L., Wang, D., Lévesque, M. L., Tremblay, R. E., & Szyf, M. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0251 · Cited by 122
Mooney‐Leber, S. M., & Brummelte, S. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.05.001 · Cited by 119
Quantitative epigenetics and evolution
Banta, J. A., & Richards, C. L. (2018) · Heredity · doi:10.1038/s41437-018-0114-x · Cited by 116
Hogg, K., Blair, J. D., McFadden, D. E., von Dadelszen, P., & Robinson, W. P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062969 · Cited by 118
Borderline personality disorder and childhood maltreatment: A genome-wide methylation analysis
Prados, J., Stenz, L., Courtet, P., Prada, P., Nicastro, R., Adouan, W., Guillaume, S., Olié, E., Aubry, J. ‐., Dayer, A., et al. (2015) · Genes, Brain and Behavior · doi:10.1111/gbb.12197 · Cited by 112
Traumatic stress and human DNA methylation: A critical review
Vinkers, C. H., Kalafateli, A. L., Rutten, B. P., Kas, M. J., Kaminsky, Z., Turner, J. D., & Boks, M. P. (2015) · Epigenomics · doi:10.2217/epi.15.11 · Cited by 112
Guxens, M., der Voort, A. M. M. S., Tiemeier, H. W., Albert Hofman, D., Sunyer, J., de Jongste, J. C., Jaddoe, V. W. V., & Duijts, L. (2013) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2013.04.044 · Cited by 119
Environmental Signals and Transgenerational Epigenetics
Skinner, M. K., & Guerrero‐Bosagna, C. (2009) · Epigenomics · doi:10.2217/epi.09.11 · Cited by 113
Biology of Microglia in the Developing Brain
Kaur, C., Rathnasamy, G., & Ling, E. (2017) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlx056 · Cited by 122
Maternal choline supplementation: a nutritional approach for improving offspring health?
Jiang, X., West, A. A., & Caudill, M. A. (2014) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2014.02.001 · Cited by 115
Social Support and Developmental Psychopathology
Thompson, R. A., Flood, M. F., & Goodvin, R. (2015) · Wiley eBooks · doi:10.1002/9780470939406.ch1 · Cited by 120
Maternal prenatal stress and infant DNA methylation: A systematic review
Sosnowski, D. W., Booth, C., York, T. P., Amstadter, A. B., & Kliewer, W. (2018) · Developmental Psychobiology · doi:10.1002/dev.21604 · Cited by 111
Griffiths, B. B., & Hunter, R. G. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.06.041 · Cited by 117
Champagne, F. A. (2010) · Perspectives on Psychological Science · doi:10.1177/1745691610383494 · Cited by 110
Nemoda, Z., Massart, R., Suderman, M. J., Hallett, M. T., Li, T., Coote, M. L., Cody, N. A. L., Sun, Z. S., Soares, C. N., Turecki, G., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.32 · Cited by 114
Parade, S. H., Ridout, K. K., Seifer, R., Armstrong, D. A., Marsit, C. J., McWilliams, M. A., & Tyrka, A. R. (2016) · Child Development · doi:10.1111/cdev.12484 · Cited by 109
Daskalakis, N. P., & Yehuda, R. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00369 · Cited by 108
Maternal psychological distress during pregnancy and childhood health outcomes: a narrative review
Vehmeijer, F. O. L., Guxens, M., Duijts, L., & El Marroun, H. (2019) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174418000557 · Cited by 107
Hpa axis related genes and response to psychological therapies: Genetics and epigenetics
Roberts, S., Keers, R., Lester, K. J., Coleman, J. R. I., Breen, G., Arendt, K., Blatter‐Meunier, J., Cooper, P., Creswell, C., Fjermestad, K., et al. (2015) · Depression and Anxiety · doi:10.1002/da.22430 · Cited by 107
Cognitive Dysfunction in Depression – Pathophysiology and Novel Targets
Carvalho, A., Miskowiak, K., Hyphantis, T., Kohler, C., Alves, G., Bortolato, B., G. Sales, P., Machado-Vieira, R., Berk, M., & McIntyre, R. (2015) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527313666141130203627 · Cited by 107
Exposure to Violence, Psychosocial Stress, and Asthma
Landeo‐Gutierrez, J., Forno, E., Miller, G. E., & Celedon, J. C. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201905-1073pp · Cited by 107
Determinants of cortisol during pregnancy – The ABCD cohort
Bleker, L. S., Roseboom, T. J., Vrijkotte, T. G. M., Reynolds, R. M., & de Rooij, S. R. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.05.026 · Cited by 115
The dynamics of the stress neuromatrix
Sousa, N. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.196 · Cited by 111
The impact of poverty on the development of brain networks
Lipina, S. J., & Posner, M. I. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00238 · Cited by 116
Glucocorticoid receptor DNA methylation, childhood maltreatment and major depression
Bustamante, A. C., Aiello, A. E., Galea, S., Ratanatharathorn, A., Noronha, C., Wildman, D. E., & Uddin, M. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.07.038 · Cited by 104
Turner, J. D., Pelascini, L. P. L., Macedo, J. A., & Muller, C. P. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn897 · Cited by 104
Stroud, L. R., Papandonatos, G. D., Rodriguez, D., McCallum, M., Salisbury, A. L., Phipps, M. G., Lester, B., Huestis, M. A., Niaura, R., Padbury, J. F., et al. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.05.017 · Cited by 104
Campión, J., Milagro, F. I., & Martínez, J. A. (2010) · Progress in molecular biology and translational science · doi:10.1016/b978-0-12-375003-7.00011-x · Cited by 106
An epigenome-wide DNA methylation study of PTSD and depression in World Trade Center responders
Kuan, P.-F., Waszczuk, M. A., Kotov, R., Marsit, C. J., Guffanti, G., Gonzalez, A., Yang, X., Koenen, K., Bromet, E., & Luft, B. J. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.130 · Cited by 103
Glucocorticoid Sensitivity in Mood Disorders
Spijker, A. T., & van Rossum, E. F. C. (2011) · Neuroendocrinology · doi:10.1159/000329846 · Cited by 105
Liu, P. Z., & Nusslock, R. (2017) · Current Genomics · doi:10.2174/1389202919666171228164350 · Cited by 111
Epigenetic programming—The important first 1000 days
Linnér, A., & Almgren, M. (2019) · Acta Paediatrica · doi:10.1111/apa.15050 · Cited by 111
Thayer, Z. M., & Kuzawa, C. W. (2015) · Social Science & Medicine · doi:10.1016/j.socscimed.2015.01.003 · Cited by 108
Biomarkers of psychiatric diseases: Current status and future prospects
Kalia, M., & Silva, J. C. E. (2014) · Metabolism · doi:10.1016/j.metabol.2014.10.026 · Cited by 108
Kong, L., Chen, X., Gissler, M., & Lavebratt, C. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-0609-4 · Cited by 105
Doherty, T. S., Forster, A., & Roth, T. L. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.05.028 · Cited by 100
Provenzi, L., Grumi, S., Altieri, L., Bensi, G., Bertazzoli, E., Biasucci, G., Cavallini, A., Decembrino, L., Falcone, R., Freddi, A., et al. (2023) · Development and Psychopathology · doi:10.1017/s0954579421000766 · Cited by 99
DNA methylation as a risk factor in the effects of early life stress
Kinnally, E. L., Feinberg, C., Kim, D. S., Ferguson, K., Leibel, R. L., Coplan, J. D., & Mann, J. J. (2011) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2011.05.001 · Cited by 101
McDade, T. W., Ryan, C. P., Jones, M. J., Hoke, M. K., Borja, J. B., Miller, G. E., Kuzawa, C. W., & Kobor, M. S. (2019) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23800 · Cited by 106
Epigenetics in depression and gut-brain axis: A molecular crosstalk
Begum, N., Mandhare, A., Tryphena, K. P., Srivastava, S., Shaikh, M. F., Singh, S. B., & Khatri, D. K. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1048333 · Cited by 102
Serpeloni, F., Radtke, K., de Assis, S. G., Henning, F., Nätt, D., & Elbert, T. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.153 · Cited by 98
Fetal Effects of Psychoactive Drugs
Salisbury, A. L., Ponder, K. L., Padbury, J. F., & Lester, B. M. (2009) · Clinics in Perinatology · doi:10.1016/j.clp.2009.06.002 · Cited by 100
Stress and Growth in Children and Adolescents
Mousikou, M., Kyriakou, A., & Skordis, N. (2021) · Hormone Research in Paediatrics · doi:10.1159/000521074 · Cited by 114
Glucocorticoids as mediators of developmental programming effects
Khulan, B., & Drake, A. J. (2012) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2012.03.007 · Cited by 98
A Framework to Examine the Role of Epigenetics in Health Disparities among Native Americans
Brockie, T., Heinzelmann, M. M., & Gill, J. (2013) · Nursing Research and Practice · doi:10.1155/2013/410395 · Cited by 106
Rijlaarsdam, J., Pappa, I., Walton, E., Bakermans-Kranenburg, M. J., Mileva-Seitz, V. R., Rippe, R. C. A., Roza, S. J., Jaddoe, V. W. V., Verhulst, F. C., Felix, J. F., et al. (2016) · Epigenetics · doi:10.1080/15592294.2016.1145329 · Cited by 97
Methylation matters in child development: toward developmental behavioral epigenetics
van IJzendoorn, M. H., Bakermans-Kranenburg, M. J., & Ebstein, R. P. (2011) · Child Development Perspectives · doi:10.1111/j.1750-8606.2011.00202.x · Cited by 97
Pawluski, J. L., Rayen, I., Niessen, N., Kristensen, S., van Donkelaar, E. L., Balthazart, J., Steinbusch, H. W. M., & Charlier, T. D. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.06.034 · Cited by 97
Dimond, J. L., & Roberts, S. (2015) · Molecular Ecology · doi:10.1111/mec.13414 · Cited by 97
The prefrontal–limbic network in depression: Modulation by hypothalamus, basal ganglia and midbrain
Bennett, M. R. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.01.006 · Cited by 98
Hypermethylation in the ZBTB20 gene is associated with major depressive disorder
Davies, M. N., Krause, L., Bell, J. T., Gao, F., Ward, K. J., Wu, H., Lu, H., Liu, Y., Tsai, P.-C., Collier, D. A., et al. (2014) · Genome biology · doi:10.1186/gb-2014-15-4-r56 · Cited by 98
Understanding neurobehavioral effects of acute and chronic stress in zebrafish
Demin, K. A., Taranov, A. S., Ilyin, N. P., Lakstygal, A. M., Volgin, A. D., de Abreu, M. S., Strekalova, T. V., & Kalueff, A. V. (2020) · Stress · doi:10.1080/10253890.2020.1724948 · Cited by 103
Burris, H. H., Braun, J. M., Byun, H., Tarantini, L., Mercado, A., Wright, R. J., Schnaas, L., Baccarelli, A., Wright, R. O., & Téllez‐Rojo, M. M. (2013) · Epigenomics · doi:10.2217/epi.13.24 · Cited by 96
Early-life adversity and long-term neurobehavioral outcomes: epigenome as a bridge?
Vaiserman, A. M., & Koliada, A. K. (2017) · Human Genomics · doi:10.1186/s40246-017-0129-z · Cited by 99
Losing the War Against Obesity: The Need for a Developmental Perspective
Gluckman, P. D., Hanson, M. A., Zimmet, P., & Forrester, T. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002554 · Cited by 95
Räikkönen, K., Pesonen, A., O’Reilly, J. R., Tuovinen, S., Lahti‐Pulkkinen, M., Kajantie, E., Villa, P., Laivuori, H. M., Hämäläinen, E., Seckl, J. R., et al. (2015) · Psychological Medicine · doi:10.1017/s003329171500121x · Cited by 100
Roth, T. L. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000618 · Cited by 95
Molecular Biology of the Stress Response in the Early Embryo and its Stem Cells
Puscheck, E. E., Awonuga, A. O., Yang, Y., Jiang, Z., & Rappolee, D. A. (2015) · Advances in experimental medicine and biology · doi:10.1007/978-1-4939-2480-6_4 · Cited by 96
Epigenetic Risk Factors in PTSD and Depression
Raabe, F. J., & Spengler, D. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00080 · Cited by 100
Quantitative Lateral Flow Assays for Salivary Biomarker Assessment: A Review
Miočević, O., Cole, C. R., Laughlin, M. J., Buck, R. L., Slowey, P. D., & Shirtcliff, E. A. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00133 · Cited by 94
Neurodevelopmental Follow-up of Preterm Infants
McGowan, E. C., & Vohr, B. R. (2019) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2018.12.015 · Cited by 94
Chau, C. M. Y., Ranger, M., Sulistyoningrum, D. C., Devlin, A. M., Oberlander, T. F., & GRUNAU, R. E. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00409 · Cited by 95
Self-citation
Metadata
- Authors
- Oberlander, T. F., Weinberg, J., Papsdorf, M., Grunau, R., Misri, S., & Devlin, A. M.
- Affiliations
- University of British Columbia (CA)
- Child and Family Research Institute (CA)
- Venue
- Epigenetics
- Publisher
- Informa UK Limited
- Published
- 2008-03-24
- Volume
- 3
- Issue
- 2
- Pages
- 97-106
- ISSN
- 1559-2294 (ISSN-L)
- 1559-2308
- OpenAlex
- W2106670153
- Semantic Scholar
- ec7f4fffee56f7acb1607720d117b531525b0713
- Cited by
- 1,432
- References
- 45
- Citations by year
- 2026: 30 · 2025: 42 · 2024: 50 · 2023: 53 · 2022: 56 · 2021: 82 · 2020: 104 · 2019: 65 · 2018: 91 · 2017: 95 · 2016: 117 · 2015: 123 · 2014: 124 · 2013: 100 · 2012: 122
- FWCI
- 58.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Epigenetics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- March of Dimes Foundation (12-FY01-30)
- Canadian Institutes of Health Research (54490, 57837, MOP54490)
- National Institute on Alcohol Abuse and Alcoholism (R01AA007789)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- maternal depression, prenatal exposure, glucocorticoid receptor gene, NR3C1, DNA methylation, hypothalamic-pituitary-adrenal axis, cortisol stress response, serotonin reuptake inhibitors, umbilical cord blood, epigenetic regulation, maternal mood, infant development
- MeSH terms
- Adult, Base Sequence, Depression, Exons, Female, Fetal Blood, Humans, Hydrocortisone, Hypothalamo-Hypophyseal System, Infant, Leukocytes, Mononuclear, Molecular Sequence Data, Mothers, Pituitary-Adrenal System, Pregnancy, Pregnancy Complications, Promoter Regions, Genetic, Receptors, Glucocorticoid, Selective Serotonin Reuptake Inhibitors, Antidepressive Agents, Second-Generation, CpG Islands, DNA Methylation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review