1,294 results on '"Binder, Elisabeth B."'
Search Results
2. Genetic predisposition for negative affect predicts mental health burden during the COVID-19 pandemic
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Schowe, Alicia M., Godara, Malvika, Czamara, Darina, Adli, Mazda, Singer, Tania, and Binder, Elisabeth B.
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- 2024
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3. Multiomics and blood-based biomarkers of electroconvulsive therapy in severe and treatment-resistant depression: study protocol of the DetECT study
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von Mücke-Heim, Iven-Alex, Pape, Julius C., Grandi, Norma C., Erhardt, Angelika, Deussing, Jan M., and Binder, Elisabeth B.
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- 2024
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4. Sex differences in DNA methylation across gestation: a large scale, cross-cohort, multi-tissue analysis
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Czamara, Darina, Dieckmann, Linda, Lahti-Pulkkinen, Marius, Cruceanu, Cristiana, Henrich, Wolfgang, Plagemann, Andreas, Räikkönen, Katri, Braun, Thorsten, Binder, Elisabeth B., Lahti, Jari, and Entringer, Sonja
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- 2024
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5. Epigenome-wide meta-analysis of prenatal maternal stressful life events and newborn DNA methylation
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Kotsakis Ruehlmann, Anna, Sammallahti, Sara, Cortés Hidalgo, Andrea P., Bakulski, Kelly M., Binder, Elisabeth B., Campbell, Megan Loraine, Caramaschi, Doretta, Cecil, Charlotte A. M., Colicino, Elena, Cruceanu, Cristiana, Czamara, Darina, Dieckmann, Linda, Dou, John, Felix, Janine F., Frank, Josef, Håberg, Siri E., Herberth, Gunda, Hoang, Thanh T., Houtepen, Lotte C., Hüls, Anke, Koen, Nastassja, London, Stephanie J., Magnus, Maria C., Mancano, Giulia, Mulder, Rosa H., Page, Christian M., Räikkönen, Katri, Röder, Stefan, Schmidt, Rebecca J., Send, Tabea S., Sharp, Gemma, Stein, Dan J., Streit, Fabian, Tuhkanen, Johanna, Witt, Stephanie H., Zar, Heather J., Zenclussen, Ana C., Zhang, Yining, Zillich, Lea, Wright, Rosalind, Lahti, Jari, and Brunst, Kelly J.
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- 2023
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6. Maternal exposure to childhood maltreatment and mental and behavioral disorders in children
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Airikka, Aino, Lahti-Pulkkinen, Marius, Tuovinen, Soile, Heinonen, Kati, Lahti, Jari, Girchenko, Polina, Lähdepuro, Anna, Pyhälä, Riikka, Czamara, Darina, Villa, Pia, Laivuori, Hannele, Kajantie, Eero, Binder, Elisabeth B., and Räikkönen, Katri
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- 2023
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7. Common Alleles: Next Steps in the Study of Common Variants
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Won, Hyejung, primary, Wray, Naomi R., additional, Binder, Elisabeth B., additional, Brennand, Kristen J., additional, Franke, Barbara, additional, Gandal, Michael J., additional, Stevens, Beth, additional, Südhof, Thomas, additional, and Ziller, Michael J., additional
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- 2023
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8. Exploring and Exploiting Genetic Risk for Psychiatric Disorders
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Binder, Elisabeth B., primary and Gordon, Joshua A., additional
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- 2023
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9. Concluding Summary
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Gordon, Joshua A., primary and Binder, Elisabeth B., additional
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- 2023
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10. Transdiagnostic evaluation of epigenetic age acceleration and burden of psychiatric disorders
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Yusupov, Natan, Dieckmann, Linda, Erhart, Mira, Sauer, Susann, Rex-Haffner, Monika, Kopf-Beck, Johannes, Brückl, Tanja M., Czamara, Darina, and Binder, Elisabeth B.
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- 2023
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11. Quantitative trait locus mapping in placenta: A comparative study of chorionic villus and birth placenta
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Dieckmann, Linda, Lahti-Pulkkinen, Marius, Cruceanu, Cristiana, Räikkönen, Katri, Binder, Elisabeth B., and Czamara, Darina
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- 2024
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12. Data-Driven Pupil Response Profiles as Transdiagnostic Readouts for the Detection of Neurocognitive Functioning in Affective and Anxiety Disorders
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Binder, Elisabeth B., Erhardt, Angelika, Lucae, Susanne, Grandi, Norma C., Namendorf, Tamara, Elbau, Immanuel, Leuchs, Laura, Schilbach, Leonhard, Ilić-Ćoćić, Sanja, Ziebula, Julius, Mücke-Heim, Iven-Alex von, Kim, Yeho, Pape, Julius, Fietz, Julia, Pöhlchen, Dorothee, Brückl, Tanja M., Brem, Anna-Katharine, Padberg, Frank, Czisch, Michael, Sämann, Philipp G., and Spoormaker, Victor I.
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- 2024
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13. Human cortical neurogenesis is altered via glucocorticoid-mediated regulation of ZBTB16 expression
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Krontira, Anthi C., Cruceanu, Cristiana, Dony, Leander, Kyrousi, Christina, Link, Marie-Helen, Rek, Nils, Pöhlchen, Dorothee, Raimundo, Catarina, Penner-Goeke, Signe, Schowe, Alicia, Czamara, Darina, Lahti-Pulkkinen, Marius, Sammallahti, Sara, Wolford, Elina, Heinonen, Kati, Roeh, Simone, Sportelli, Vincenza, Wölfel, Barbara, Ködel, Maik, Sauer, Susann, Rex-Haffner, Monika, Räikkönen, Katri, Labeur, Marta, Cappello, Silvia, and Binder, Elisabeth B.
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- 2024
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14. Stress-induced brain responses are associated with BMI in women
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Kühnel, Anne, Hagenberg, Jonas, Knauer-Arloth, Janine, Ködel, Maik, Czisch, Michael, Sämann, Philipp G., Binder, Elisabeth B., and Kroemer, Nils B.
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- 2023
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15. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors.
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Mullins, Niamh, Kang, JooEun, Campos, Adrian I, Coleman, Jonathan RI, Edwards, Alexis C, Galfalvy, Hanga, Levey, Daniel F, Lori, Adriana, Shabalin, Andrey, Starnawska, Anna, Su, Mei-Hsin, Watson, Hunna J, Adams, Mark, Awasthi, Swapnil, Gandal, Michael, Hafferty, Jonathan D, Hishimoto, Akitoyo, Kim, Minsoo, Okazaki, Satoshi, Otsuka, Ikuo, Ripke, Stephan, Ware, Erin B, Bergen, Andrew W, Berrettini, Wade H, Bohus, Martin, Brandt, Harry, Chang, Xiao, Chen, Wei J, Chen, Hsi-Chung, Crawford, Steven, Crow, Scott, DiBlasi, Emily, Duriez, Philibert, Fernández-Aranda, Fernando, Fichter, Manfred M, Gallinger, Steven, Glatt, Stephen J, Gorwood, Philip, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine A, Hwu, Hai-Gwo, Jain, Sonia, Jamain, Stéphane, Jiménez-Murcia, Susana, Johnson, Craig, Kaplan, Allan S, Kaye, Walter H, Keel, Pamela K, Kennedy, James L, Klump, Kelly L, Li, Dong, Liao, Shih-Cheng, Lieb, Klaus, Lilenfeld, Lisa, Liu, Chih-Min, Magistretti, Pierre J, Marshall, Christian R, Mitchell, James E, Monson, Eric T, Myers, Richard M, Pinto, Dalila, Powers, Abigail, Ramoz, Nicolas, Roepke, Stefan, Rozanov, Vsevolod, Scherer, Stephen W, Schmahl, Christian, Sokolowski, Marcus, Strober, Michael, Thornton, Laura M, Treasure, Janet, Tsuang, Ming T, Witt, Stephanie H, Woodside, D Blake, Yilmaz, Zeynep, Zillich, Lea, Adolfsson, Rolf, Agartz, Ingrid, Air, Tracy M, Alda, Martin, Alfredsson, Lars, Andreassen, Ole A, Anjorin, Adebayo, Appadurai, Vivek, Soler Artigas, María, Van der Auwera, Sandra, Azevedo, M Helena, Bass, Nicholas, Bau, Claiton HD, Baune, Bernhard T, Bellivier, Frank, Berger, Klaus, Biernacka, Joanna M, Bigdeli, Tim B, Binder, Elisabeth B, Boehnke, Michael, Boks, Marco P, Bosch, Rosa, and Braff, David L
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Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium ,Bipolar Disorder Working Group of the Psychiatric Genomics Consortium ,Eating Disorders Working Group of the Psychiatric Genomics Consortium ,German Borderline Genomics Consortium ,MVP Suicide Exemplar Workgroup ,VA Million Veteran Program ,Humans ,Risk Factors ,Suicide ,Attempted ,Mental Disorders ,Depressive Disorder ,Major ,Polymorphism ,Single Nucleotide ,Genome-Wide Association Study ,Genetic correlation ,Genome-wide association study ,Pleiotropy ,Polygenicity ,Suicide ,Suicide attempt ,Human Genome ,Behavioral and Social Science ,Mental Health ,Prevention ,Genetics ,Brain Disorders ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Good Health and Well Being ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
BackgroundSuicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders.MethodsWe conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors.ResultsTwo loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged.ConclusionsOur results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.
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- 2022
16. Meta-analysis of epigenome-wide association studies in newborns and children show widespread sex differences in blood DNA methylation.
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Solomon, Olivia, Huen, Karen, Yousefi, Paul, Küpers, Leanne K, González, Juan R, Suderman, Matthew, Reese, Sarah E, Page, Christian M, Gruzieva, Olena, Rzehak, Peter, Gao, Lu, Bakulski, Kelly M, Novoloaca, Alexei, Allard, Catherine, Pappa, Irene, Llambrich, Maria, Vives, Marta, Jima, Dereje D, Kvist, Tuomas, Baccarelli, Andrea, White, Cory, Rezwan, Faisal I, Sharp, Gemma C, Tindula, Gwen, Bergström, Anna, Grote, Veit, Dou, John F, Isaevska, Elena, Magnus, Maria C, Corpeleijn, Eva, Perron, Patrice, Jaddoe, Vincent WV, Nohr, Ellen A, Maitre, Lea, Foraster, Maria, Hoyo, Cathrine, Håberg, Siri E, Lahti, Jari, DeMeo, Dawn L, Zhang, Hongmei, Karmaus, Wilfried, Kull, Inger, Koletzko, Berthold, Feinberg, Jason I, Gagliardi, Luigi, Bouchard, Luigi, Ramlau-Hansen, Cecilia Høst, Tiemeier, Henning, Santorelli, Gillian, Maguire, Rachel L, Czamara, Darina, Litonjua, Augusto A, Langhendries, Jean-Paul, Plusquin, Michelle, Lepeule, Johanna, Binder, Elisabeth B, Verduci, Elvira, Dwyer, Terence, Carracedo, Ángel, Ferre, Natalia, Eskenazi, Brenda, Kogevinas, Manolis, Nawrot, Tim S, Munthe-Kaas, Monica C, Herceg, Zdenko, Relton, Caroline, Melén, Erik, Gruszfeld, Dariusz, Breton, Carrie, Fallin, MD, Ghantous, Akram, Nystad, Wenche, Heude, Barbara, Snieder, Harold, Hivert, Marie-France, Felix, Janine F, Sørensen, Thorkild IA, Bustamante, Mariona, Murphy, Susan K, Raikkönen, Katri, Oken, Emily, Holloway, John W, Arshad, Syed Hasan, London, Stephanie J, and Holland, Nina
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Humans ,DNA Methylation ,Epigenesis ,Genetic ,Pregnancy ,Sex Characteristics ,Adolescent ,Child ,Infant ,Newborn ,Female ,Male ,Epigenomics ,Epigenome ,Children ,Cord blood ,DNA methylation ,EWAS ,Sex ,Digestive Diseases ,Human Genome ,Genetics ,Prevention ,Pediatric ,Aetiology ,2.1 Biological and endogenous factors ,Good Health and Well Being ,Toxicology - Abstract
BackgroundAmong children, sex-specific differences in disease prevalence, age of onset, and susceptibility have been observed in health conditions including asthma, immune response, metabolic health, some pediatric and adult cancers, and psychiatric disorders. Epigenetic modifications such as DNA methylation may play a role in the sexual differences observed in diseases and other physiological traits.MethodsWe performed a meta-analysis of the association of sex and cord blood DNA methylation at over 450,000 CpG sites in 8438 newborns from 17 cohorts participating in the Pregnancy And Childhood Epigenetics (PACE) Consortium. We also examined associations of child sex with DNA methylation in older children ages 5.5-10 years from 8 cohorts (n = 4268).ResultsIn newborn blood, sex was associated at Bonferroni level significance with differences in DNA methylation at 46,979 autosomal CpG sites (p
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- 2022
17. Associations of psychiatric disease and ageing with FKBP5 expression converge on superficial layer neurons of the neocortex
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Matosin, Natalie, Arloth, Janine, Czamara, Darina, Edmond, Katrina Z., Maitra, Malosree, Fröhlich, Anna S., Martinelli, Silvia, Kaul, Dominic, Bartlett, Rachael, Curry, Amber R., Gassen, Nils C., Hafner, Kathrin, Müller, Nikola S., Worf, Karolina, Rehawi, Ghalia, Nagy, Corina, Halldorsdottir, Thorhildur, Cruceanu, Cristiana, Gagliardi, Miriam, Gerstner, Nathalie, Ködel, Maik, Murek, Vanessa, Ziller, Michael J., Scarr, Elizabeth, Tao, Ran, Jaffe, Andrew E., Arzberger, Thomas, Falkai, Peter, Kleinmann, Joel E., Weinberger, Daniel R., Mechawar, Naguib, Schmitt, Andrea, Dean, Brian, Turecki, Gustavo, Hyde, Thomas M., and Binder, Elisabeth B.
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- 2023
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18. A Glucocorticoid-Sensitive Hippocampal Gene Network Moderates the Impact of Early-Life Adversity on Mental Health Outcomes
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Arcego, Danusa Mar, Buschdorf, Jan-Paul, O’Toole, Nicholas, Wang, Zihan, Barth, Barbara, Pokhvisneva, Irina, Rayan, Nirmala Arul, Patel, Sachin, de Mendonça Filho, Euclides José, Lee, Patrick, Tan, Jennifer, Koh, Ming Xuan, Sim, Chu Ming, Parent, Carine, de Lima, Randriely Merscher Sobreira, Clappison, Andrew, O’Donnell, Kieran J., Dalmaz, Carla, Arloth, Janine, Provençal, Nadine, Binder, Elisabeth B., Diorio, Josie, Silveira, Patrícia Pelufo, and Meaney, Michael J.
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- 2024
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19. The pediatric buccal epigenetic clock identifies significant ageing acceleration in children with internalizing disorder and maltreatment exposure
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Dammering, Felix, Martins, Jade, Dittrich, Katja, Czamara, Darina, Rex-Haffner, Monika, Overfeld, Judith, de Punder, Karin, Buss, Claudia, Entringer, Sonja, Winter, Sibylle M, Binder, Elisabeth B, and Heim, Christine
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Genetics ,Child Abuse and Neglect Research ,Violence Research ,Pediatric ,Clinical Research ,Epigenetic ageing ,Early development ,Maltreatment ,Psychopathology ,Glucocorticoids - Abstract
BackgroundStudies reporting accelerated ageing in children with affective disorders or maltreatment exposure have relied on algorithms for estimating epigenetic age derived from adult samples. These algorithms have limited validity for epigenetic age estimation during early development. We here use a pediatric buccal epigenetic (PedBE) clock to predict DNA methylation-based ageing deviation in children with and without internalizing disorder and assess the moderating effect of maltreatment exposure. We further conduct a gene set enrichment analysis to assess the contribution of glucocorticoid signaling to PedBE clock-based results.MethodDNA was isolated from saliva of 158 children [73 girls, 85 boys; mean age (SD) = 4.25 (0.8) years] including children with internalizing disorder and maltreatment exposure. Epigenetic age was estimated based on DNA methylation across 94 CpGs of the PedBE clock. Residuals of epigenetic age regressed against chronological age were contrasted between children with and without internalizing disorder. Maltreatment was coded in 3 severity levels and entered in a moderation model. Genome-wide dexamethasone-responsive CpGs were derived from an independent sample and enrichment of these CpGs within the PedBE clock was identified.ResultsChildren with internalizing disorder exhibited significant acceleration of epigenetic ageing as compared to children without internalizing disorder (F1,147 = 6.67, p = .011). This association was significantly moderated by maltreatment severity (b = 0.49, 95% CI [0.073, 0.909], t = 2.322, p = .022). Children with internalizing disorder who had experienced maltreatment exhibited ageing acceleration relative to children with no internalizing disorder (1-2 categories: b = 0.50, 95% CI [0.170, 0.821], t = 3.008, p = .003; 3 or more categories: b = 0.99, 95% CI [0.380, 1.593], t = 3.215, p = .002). Children with internalizing disorder who were not exposed to maltreatment did not show epigenetic ageing acceleration. There was significant enrichment of dexamethasone-responsive CpGs within the PedBE clock (OR = 4.36, p = 1.65*10-6). Among the 94 CpGs of the PedBE clock, 18 (19%) were responsive to dexamethasone.ConclusionUsing the novel PedBE clock, we show that internalizing disorder is associated with accelerated epigenetic ageing in early childhood. This association is moderated by maltreatment severity and may, in part, be driven by glucocorticoids. Identifying developmental drivers of accelerated epigenetic ageing after maltreatment will be critical to devise early targeted interventions.
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- 2021
20. Childhood adversity correlates with stable changes in DNA methylation trajectories in children and converges with epigenetic signatures of prenatal stress
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Martins, Jade, Czamara, Darina, Sauer, Susann, Rex-Haffner, Monika, Dittrich, Katja, Dörr, Peggy, de Punder, Karin, Overfeld, Judith, Knop, Andrea, Dammering, Felix, Entringer, Sonja, Winter, Sibylle M, Buss, Claudia, Heim, Christine, and Binder, Elisabeth B
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Genetics ,Violence Research ,Child Abuse and Neglect Research ,Conditions Affecting the Embryonic and Fetal Periods ,Pediatric Research Initiative ,Mental Health ,Substance Misuse ,Pediatric ,Behavioral and Social Science ,Basic Behavioral and Social Science ,Human Genome ,Prevention ,Clinical Research ,2.1 Biological and endogenous factors ,2.3 Psychological ,social and economic factors ,Aetiology ,Good Health and Well Being ,Epigenetics ,Early-life adversity ,Prenatal exposure ,Risk factors ,Stress - Abstract
Childhood maltreatment (CM) is an established major risk factor for a number of negative health outcomes later in life. While epigenetic mechanisms, such as DNA methylation (DNAm), have been proposed as a means of embedding this environmental risk factor, little is known about its timing and trajectory, especially in very young children. It is also not clear whether additional environmental adversities, often experienced by these children, converge on similar DNAm changes. Here, we calculated a cumulative adversity score, which additionally to CM includes socioeconomic status (SES), other life events, parental psychopathology and epigenetic biomarkers of prenatal smoking and alcohol consumption. We investigated the effects of CM alone as well as the adversity score on longitudinal DNAm trajectories in the Berlin Longitudinal Child Study. This is a cohort of 173 children aged 3-5 years at baseline of whom 86 were exposed to CM. These children were followed-up for 2 years with extensive psychometric and biological assessments as well as saliva collection at 5 time points providing genome-wide DNAm levels. Overall, only a few DNAm patterns were stable over this timeframe, but less than 10 DNAm regions showed significant changes. At baseline, neither CM nor the adversity score associated with DNAm changes. However, in 6 differentially methylated regions (DMRs), CM and the adversity score significantly moderated DNAm trajectories over time. A number of these DMRs have previously been associated with adverse prenatal exposures. In our study, children exposed to CM also presented with epigenetic signatures indicative of increased prenatal exposure to tobacco and alcohol, as compared to non-CM exposed children. These epigenetic signatures of prenatal exposure strongly correlate with DNAm regions associated with CM and the adversity score. Finally, weighted correlation network analysis revealed a module of CpGs exclusively associated with CM. While our study identifies DNAm loci specifically associated with CM, especially within long non-coding RNAs, the majority of associations were found with the adversity score with convergent association with indicators of adverse prenatal exposures. This study highlights the importance of mapping not only of the epigenome but also the exposome and extending the observational timeframe to well before birth.
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- 2021
21. Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group
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Jia, Tianye, Chu, Congying, Liu, Yun, van Dongen, Jenny, Papastergios, Evangelos, Armstrong, Nicola J, Bastin, Mark E, Carrillo-Roa, Tania, den Braber, Anouk, Harris, Mathew, Jansen, Rick, Liu, Jingyu, Luciano, Michelle, Ori, Anil PS, Roiz Santiañez, Roberto, Ruggeri, Barbara, Sarkisyan, Daniil, Shin, Jean, Sungeun, Kim, Tordesillas Gutiérrez, Diana, van’t Ent, Dennis, Ames, David, Artiges, Eric, Bakalkin, Georgy, Banaschewski, Tobias, Bokde, Arun LW, Brodaty, Henry, Bromberg, Uli, Brouwer, Rachel, Büchel, Christian, Burke Quinlan, Erin, Cahn, Wiepke, de Zubicaray, Greig I, Ehrlich, Stefan, Ekström, Tomas J, Flor, Herta, Fröhner, Juliane H, Frouin, Vincent, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Hoare, Jacqueline, Ittermann, Bernd, Jahanshad, Neda, Jiang, Jiyang, Kwok, John B, Martin, Nicholas G, Martinot, Jean-Luc, Mather, Karen A, McMahon, Katie L, McRae, Allan F, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Sämann, Philipp G, Schofield, Peter R, Smolka, Michael N, Stein, Dan J, Strike, Lachlan T, Teeuw, Jalmar, Thalamuthu, Anbupalam, Trollor, Julian, Walter, Henrik, Wardlaw, Joanna M, Wen, Wei, Whelan, Robert, Apostolova, Liana G, Binder, Elisabeth B, Boomsma, Dorret I, Calhoun, Vince, Crespo-Facorro, Benedicto, Deary, Ian J, Hulshoff Pol, Hilleke, Ophoff, Roel A, Pausova, Zdenka, Sachdev, Perminder S, Saykin, Andrew, Wright, Margaret J, Thompson, Paul M, Schumann, Gunter, and Desrivières, Sylvane
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Biological Psychology ,Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Psychology ,Mental Health ,Neurosciences ,Genetics ,Human Genome ,Diabetes ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Mental health ,CpG Islands ,DNA Methylation ,Epigenesis ,Genetic ,Epigenome ,Genome-Wide Association Study ,Humans ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Biological psychology ,Clinical and health psychology - Abstract
DNA methylation, which is modulated by both genetic factors and environmental exposures, may offer a unique opportunity to discover novel biomarkers of disease-related brain phenotypes, even when measured in other tissues than brain, such as blood. A few studies of small sample sizes have revealed associations between blood DNA methylation and neuropsychopathology, however, large-scale epigenome-wide association studies (EWAS) are needed to investigate the utility of DNA methylation profiling as a peripheral marker for the brain. Here, in an analysis of eleven international cohorts, totalling 3337 individuals, we report epigenome-wide meta-analyses of blood DNA methylation with volumes of the hippocampus, thalamus and nucleus accumbens (NAcc)-three subcortical regions selected for their associations with disease and heritability and volumetric variability. Analyses of individual CpGs revealed genome-wide significant associations with hippocampal volume at two loci. No significant associations were found for analyses of thalamus and nucleus accumbens volumes. Cluster-based analyses revealed additional differentially methylated regions (DMRs) associated with hippocampal volume. DNA methylation at these loci affected expression of proximal genes involved in learning and memory, stem cell maintenance and differentiation, fatty acid metabolism and type-2 diabetes. These DNA methylation marks, their interaction with genetic variants and their impact on gene expression offer new insights into the relationship between epigenetic variation and brain structure and may provide the basis for biomarker discovery in neurodegeneration and neuropsychiatric conditions.
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- 2021
22. Predicting treatment outcome in depression: an introduction into current concepts and challenges
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Rost, Nicolas, Binder, Elisabeth B., and Brückl, Tanja M.
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- 2023
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23. Epigenetic age acceleration as a biomarker for impaired cognitive abilities in adulthood following early life adversity and psychiatric disorders
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Felt, John M., Yusupov, Natan, Harrington, Karra D., Fietz, Julia, Zhang, Zhenyu “Zach”, Sliwinski, Martin J., Ram, Nilam, O'Donnell, Kieran J., Meaney, Michael J., Putnam, Frank W., Noll, Jennie G., Binder, Elisabeth B., and Shenk, Chad E.
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- 2023
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24. Pupil Dilation during Reward Anticipation Is Correlated to Depressive Symptom Load in Patients with Major Depressive Disorder.
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Schneider, Max, Elbau, Immanuel G, Nantawisarakul, Teachawidd, Pöhlchen, Dorothee, Brückl, Tanja, BeCOME Working Group, Czisch, Michael, Saemann, Philipp G, Lee, Michael D, Binder, Elisabeth B, and Spoormaker, Victor I
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arousal ,depression ,fMRI ,pupillometry ,reward ,Neurosciences ,Psychology ,Cognitive Sciences - Abstract
Depression is a debilitating disorder with high prevalence and socioeconomic cost, but the brain-physiological processes that are altered during depressive states are not well understood. Here, we build on recent findings in macaques that indicate a direct causal relationship between pupil dilation and anterior cingulate cortex mediated arousal during anticipation of reward. We translated these findings to human subjects with concomitant pupillometry/fMRI in a sample of unmedicated participants diagnosed with major depression and healthy controls. We could show that the upregulation and maintenance of arousal in anticipation of reward was disrupted in patients in a symptom-load dependent manner. We could further show that the failure to maintain reward anticipatory arousal showed state-marker properties, as it tracked the load and impact of depressive symptoms independent of prior diagnosis status. Further, group differences of anticipatory arousal and continuous correlations with symptom load were not traceable only at the level of pupillometric responses, but were mirrored also at the neural level within salience network hubs. The upregulation and maintenance of arousal during reward anticipation is a novel translational and well-traceable process that could prove a promising gateway to a physiologically informed patient stratification and targeted interventions.
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- 2020
25. FKBP5 intron 7 methylation is associated with higher anxiety proneness and smaller right thalamus volume in adolescents
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Womersley, Jacqueline S., Roeh, Simone, Martin, Lindi, Ahmed-Leitao, Fatima, Sauer, Susann, Rex-Haffner, Monika, Hemmings, Sian M. J., Binder, Elisabeth B., and Seedat, Soraya
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- 2022
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26. Multimodal predictions of treatment outcome in major depression: A comparison of data-driven predictors with importance ratings by clinicians
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Rost, Nicolas, Dwyer, Dominic B., Gaffron, Swetlana, Rechberger, Simon, Maier, Dieter, Binder, Elisabeth B., and Brückl, Tanja M.
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- 2023
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27. Biological embedding of experience: A primer on epigenetics
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Aristizabal, Maria J, Anreiter, Ina, Halldorsdottir, Thorhildur, Odgers, Candice L, McDade, Thomas W, Goldenberg, Anna, Mostafavi, Sara, Kobor, Michael S, Binder, Elisabeth B, Sokolowski, Marla B, and O'Donnell, Kieran J
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Genetics ,Human Genome ,2.1 Biological and endogenous factors ,Aetiology ,Generic health relevance ,Animals ,DNA Methylation ,Epigenesis ,Genetic ,Epigenomics ,Gene-Environment Interaction ,Humans ,epigenetic mechanisms ,gene-environment interplay ,biological embedding of experience ,epigenome ,translational research ,gene–environment interplay - Abstract
Biological embedding occurs when life experience alters biological processes to affect later life health and well-being. Although extensive correlative data exist supporting the notion that epigenetic mechanisms such as DNA methylation underlie biological embedding, causal data are lacking. We describe specific epigenetic mechanisms and their potential roles in the biological embedding of experience. We also consider the nuanced relationships between the genome, the epigenome, and gene expression. Our ability to connect biological embedding to the epigenetic landscape in its complexity is challenging and complicated by the influence of multiple factors. These include cell type, age, the timing of experience, sex, and DNA sequence. Recent advances in molecular profiling and epigenome editing, combined with the use of comparative animal and human longitudinal studies, should enable this field to transition from correlative to causal analyses.
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- 2020
28. The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells.
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McEwen, Lisa M, O'Donnell, Kieran J, McGill, Megan G, Edgar, Rachel D, Jones, Meaghan J, MacIsaac, Julia L, Lin, David Tse Shen, Ramadori, Katia, Morin, Alexander, Gladish, Nicole, Garg, Elika, Unternaehrer, Eva, Pokhvisneva, Irina, Karnani, Neerja, Kee, Michelle ZL, Klengel, Torsten, Adler, Nancy E, Barr, Ronald G, Letourneau, Nicole, Giesbrecht, Gerald F, Reynolds, James N, Czamara, Darina, Armstrong, Jeffrey M, Essex, Marilyn J, de Weerth, Carolina, Beijers, Roseriet, Tollenaar, Marieke S, Bradley, Bekh, Jovanovic, Tanja, Ressler, Kerry J, Steiner, Meir, Entringer, Sonja, Wadhwa, Pathik D, Buss, Claudia, Bush, Nicole R, Binder, Elisabeth B, Boyce, W Thomas, Meaney, Michael J, Horvath, Steve, and Kobor, Michael S
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Mouth Mucosa ,Epithelial Cells ,Humans ,Cohort Studies ,Longitudinal Studies ,Epigenesis ,Genetic ,CpG Islands ,Adolescent ,Adult ,Child ,Child ,Preschool ,Infant ,Female ,Male ,Young Adult ,Epigenomics ,DNA methylation ,adolescence ,age ,development ,epigenetic clock ,Human Genome ,Genetics ,Pediatric ,Underpinning research ,1.1 Normal biological development and functioning ,Generic health relevance ,Good Health and Well Being - 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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- 2020
29. A functional variant in the serotonin receptor 7 gene (HTR7), rs7905446, is associated with good response to SSRIs in bipolar and unipolar depression
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Wei, Ya Bin, McCarthy, Michael, Ren, Hongyan, Carrillo-Roa, Tania, Shekhtman, Tatyana, DeModena, Anna, Liu, Jia Jia, Leckband, Susan G, Mors, Ole, Rietschel, Marcella, Henigsberg, Neven, Cattaneo, Annamaria, Binder, Elisabeth B, Aitchison, Katherine J, and Kelsoe, John R
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Biotechnology ,Mental Health ,Human Genome ,Patient Safety ,Neurosciences ,Brain Disorders ,Depression ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Adult ,Aged ,Aged ,80 and over ,Animals ,Citalopram ,Depressive Disorder ,Major ,Female ,Fluoxetine ,Humans ,Male ,Middle Aged ,Paroxetine ,Receptors ,Serotonin ,Retrospective Studies ,Selective Serotonin Reuptake Inhibitors ,Sertraline ,Young Adult ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
Predicting antidepressant response has been a clinical challenge for mood disorder. Although several genome-wide association studies have suggested a number of genetic variants to be associated with antidepressant response, the sample sizes are small and the results are difficult to replicate. Previous animal studies have shown that knockout of the serotonin receptor 7 gene (HTR7) resulted in an antidepressant-like phenotype, suggesting it was important to antidepressant action. In this report, in the first stage, we used a cost-effective pooled-sequencing strategy to sequence the entire HTR7 gene and its regulatory regions to investigate the association of common variants in HTR7 and clinical response to four selective serotonin reuptake inhibitors (SSRIs: citalopram, paroxetine, fluoxetine and sertraline) in a retrospective cohort mainly consisting of subjects with bipolar disorder (n = 359). We found 80 single-nucleotide polymorphisms (SNPs) with false discovery rate
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- 2020
30. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age.
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Merid, Simon Kebede, Novoloaca, Alexei, Sharp, Gemma C, Küpers, Leanne K, Kho, Alvin T, Roy, Ritu, Gao, Lu, Annesi-Maesano, Isabella, Jain, Pooja, Plusquin, Michelle, Kogevinas, Manolis, Allard, Catherine, Vehmeijer, Florianne O, Kazmi, Nabila, Salas, Lucas A, Rezwan, Faisal I, Zhang, Hongmei, Sebert, Sylvain, Czamara, Darina, Rifas-Shiman, Sheryl L, Melton, Phillip E, Lawlor, Debbie A, Pershagen, Göran, Breton, Carrie V, Huen, Karen, Baiz, Nour, Gagliardi, Luigi, Nawrot, Tim S, Corpeleijn, Eva, Perron, Patrice, Duijts, Liesbeth, Nohr, Ellen Aagaard, Bustamante, Mariona, Ewart, Susan L, Karmaus, Wilfried, Zhao, Shanshan, Page, Christian M, Herceg, Zdenko, Jarvelin, Marjo-Riitta, Lahti, Jari, Baccarelli, Andrea A, Anderson, Denise, Kachroo, Priyadarshini, Relton, Caroline L, Bergström, Anna, Eskenazi, Brenda, Soomro, Munawar Hussain, Vineis, Paolo, Snieder, Harold, Bouchard, Luigi, Jaddoe, Vincent W, Sørensen, Thorkild IA, Vrijheid, Martine, Arshad, S Hasan, Holloway, John W, Håberg, Siri E, Magnus, Per, Dwyer, Terence, Binder, Elisabeth B, DeMeo, Dawn L, Vonk, Judith M, Newnham, John, Tantisira, Kelan G, Kull, Inger, Wiemels, Joseph L, Heude, Barbara, Sunyer, Jordi, Nystad, Wenche, Munthe-Kaas, Monica C, Räikkönen, Katri, Oken, Emily, Huang, Rae-Chi, Weiss, Scott T, Antó, Josep Maria, Bousquet, Jean, Kumar, Ashish, Söderhäll, Cilla, Almqvist, Catarina, Cardenas, Andres, Gruzieva, Olena, Xu, Cheng-Jian, Reese, Sarah E, Kere, Juha, Brodin, Petter, Solomon, Olivia, Wielscher, Matthias, Holland, Nina, Ghantous, Akram, Hivert, Marie-France, Felix, Janine F, Koppelman, Gerard H, London, Stephanie J, and Melén, Erik
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Humans ,Premature Birth ,DNA ,DNA Methylation ,Fetal Development ,Adolescent ,Child ,Child ,Preschool ,Infant ,Newborn ,Infant ,Premature ,Female ,Male ,Genetic Loci ,Epigenome ,Development ,Epigenetics ,Gestational age ,Preterm birth ,Transcriptomics ,Preschool ,Infant ,Newborn ,Premature ,Genetics ,Clinical Sciences - Abstract
BackgroundPreterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children.MethodsWe performed meta-analysis of Illumina's HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4-18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung.ResultsWe identified 8899 CpGs in cord blood that were associated with gestational age (range 27-42 weeks), at Bonferroni significance, P
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- 2020
31. A Role of Oxytocin Receptor Gene Brain Tissue Expression Quantitative Trait Locus rs237895 in the Intergenerational Transmission of the Effects of Maternal Childhood Maltreatment
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Toepfer, Philipp, O'Donnell, Kieran J, Entringer, Sonja, Heim, Christine M, Lin, David TS, MacIsaac, Julia L, Kobor, Michael S, Meaney, Michael J, Provençal, Nadine, Binder, Elisabeth B, Wadhwa, Pathik D, and Buss, Claudia
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Child Abuse and Neglect Research ,Clinical Research ,Genetics ,Mental Health ,Behavioral and Social Science ,Brain Disorders ,Pediatric ,Violence Research ,Neurosciences ,Reproductive health and childbirth ,Good Health and Well Being ,Adult ,Adult Survivors of Child Abuse ,Alleles ,Depression ,Postpartum ,Female ,Gene-Environment Interaction ,Genotype ,Humans ,Infant ,Mother-Child Relations ,Mothers ,Object Attachment ,Oxytocin ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Reactive Attachment Disorder ,Receptors ,Oxytocin ,Regression Analysis ,Stress ,Psychological ,Young Adult ,gene-environment interaction ,childhood maltreatment ,intergenerational transmission ,cxytocin receptor gene ,parenting ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Developmental & Child Psychology ,Clinical sciences ,Paediatrics ,Applied and developmental psychology - Abstract
ObjectiveWomen exposed to childhood maltreatment (CM) are more likely to exhibit insensitive parenting, which may have consequences for their offspring's development. Variation in the oxytocin-receptor gene (OXTR) moderates risk of CM-associated long-term sequelae associated with mother-child attachment, although functionality of previously investigated single nucleotide polymorphisms (SNPs) remained elusive. Here, we investigated the role of OXTR rs237895, a brain tissue expression quantitative trait locus (eQTL), as a moderator of the relationship between CM and maternal behavior (MB) and the association between MB and offspring attachment security.MethodOf 110 women with information on rs237895 genotype (T-allele = 64, CC = 46), 107 had information on CM (CTQ) and 99 on standardized observer-based ratings of MB at 6 months postpartum (responsivity and detachment), which were used in principal component analysis to obtain a latent factor representing MB. Offspring (n = 86) attachment was evaluated at 12 months of age. Analyses predicting MB were adjusted for socioeconomic status, age, postpartum depression, and genotype-based ethnicity. Analyses predicting child attachment were adjusted for infant sex, socioeconomic status, and postpartum depression.Resultsrs237895 significantly moderated the relationship between CM and MB (F1;66 = 7.99, p < .01), indicating that CM was associated with maternal insensitivity only in high-OXTR-expressing T-allele carriers but not in low-OXTR-expressing CC homozygotes. Moreover, maternal insensitivity predicted offspring insecure attachment (B = -0.551; p < .05).ConclusionWomen with a high OXTR expressing genotype are more susceptible to CM-related impairments in MB that, in turn, predict attachment security in their children, supporting the role of the OT system in the intergenerational transmission of risk associated with maternal CM.
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- 2019
32. In vitro modeling of the neurobiological effects of glucocorticoids: A review
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Bassil, Katherine, Krontira, Anthi C., Leroy, Thomas, Escoto, Alana I.H., Snijders, Clara, Pernia, Cameron D., Pasterkamp, R. Jeroen, de Nijs, Laurence, van den Hove, Daniel, Kenis, Gunter, Boks, Marco P., Vadodaria, Krishna, Daskalakis, Nikolaos P., Binder, Elisabeth B., and Rutten, Bart P.F.
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- 2023
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33. Tricyclic antidepressants target FKBP51 SUMOylation to restore glucocorticoid receptor activity
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Budziñski, Maia L., Sokn, Clara, Gobbini, Romina, Ugo, Belén, Antunica-Noguerol, María, Senin, Sergio, Bajaj, Thomas, Gassen, Nils C., Rein, Theo, Schmidt, Mathias V., Binder, Elisabeth B., Arzt, Eduardo, and Liberman, Ana C.
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- 2022
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34. GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores
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Mullins, Niamh, Bigdeli, Tim B, Børglum, Anders D, Coleman, Jonathan RI, Demontis, Ditte, Mehta, Divya, Power, Robert A, Ripke, Stephan, Stahl, Eli A, Starnawska, Anna, Anjorin, Adebayo, Corvin, Aiden, Sanders, Alan R, Forstner, Andreas J, Reif, Andreas, Koller, Anna C, Świątkowska, Beata, Baune, Bernhard T, Müller-Myhsok, Bertram, Penninx, Brenda WJH, Pato, Carlos, Zai, Clement, Rujescu, Dan, Hougaard, David M, Quested, Digby, Levinson, Douglas F, Binder, Elisabeth B, Byrne, Enda M, Agerbo, Esben, Streit, Fabian, Mayoral, Fermin, Bellivier, Frank, Degenhardt, Franziska, Breen, Gerome, Morken, Gunnar, Turecki, Gustavo, Rouleau, Guy A, Grabe, Hans J, Völzke, Henry, Jones, Ian, Giegling, Ina, Agartz, Ingrid, Melle, Ingrid, Lawrence, Jacob, Walters, James TR, Strohmaier, Jana, Shi, Jianxin, Hauser, Joanna, Biernacka, Joanna M, Vincent, John B, Kelsoe, John, Strauss, John S, Lissowska, Jolanta, Pimm, Jonathan, Smoller, Jordan W, Guzman-Parra, José, Berger, Klaus, Scott, Laura J, Jones, Lisa A, Azevedo, M Helena, Trzaskowski, Maciej, Kogevinas, Manolis, Rietschel, Marcella, Boks, Marco, Ising, Marcus, Grigoroiu-Serbanescu, Maria, Hamshere, Marian L, Leboyer, Marion, Frye, Mark, Nöthen, Markus M, Alda, Martin, Preisig, Martin, Nordentoft, Merete, Boehnke, Michael, O’Donovan, Michael C, Owen, Michael J, Pato, Michele T, Renteria, Miguel E, Budde, Monika, Weissman, Myrna M, Wray, Naomi R, Bass, Nicholas, Craddock, Nicholas, Smeland, Olav B, Andreassen, Ole A, Mors, Ole, Gejman, Pablo V, Sklar, Pamela, McGrath, Patrick, Hoffmann, Per, McGuffin, Peter, Lee, Phil H, Mortensen, Preben Bo, Kahn, René S, Ophoff, Roel A, Adolfsson, Rolf, Van der Auwera, Sandra, Djurovic, Srdjan, Kloiber, Stefan, and Heilmann-Heimbach, Stefanie
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Prevention ,Suicide ,Serious Mental Illness ,Schizophrenia ,Human Genome ,Depression ,Mental Health ,Genetics ,Brain Disorders ,Aetiology ,2.3 Psychological ,social and economic factors ,2.1 Biological and endogenous factors ,Mental health ,Good Health and Well Being ,Bipolar Disorder ,Case-Control Studies ,Depressive Disorder ,Major ,Female ,Genome-Wide Association Study ,Humans ,Male ,Multifactorial Inheritance ,Risk Factors ,Suicide ,Attempted ,M.R.C.Psych ,Dr.Med.Sc ,Dipl.-Psych ,Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium ,Bipolar Disorder Working Group of the Psychiatric Genomics Consortium ,Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Mood Disorders ,Polygenic Risk Scoring ,Psychiatric Genomics Consortium ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
ObjectiveMore than 90% of people who attempt suicide have a psychiatric diagnosis; however, twin and family studies suggest that the genetic etiology of suicide attempt is partially distinct from that of the psychiatric disorders themselves. The authors present the largest genome-wide association study (GWAS) on suicide attempt, using cohorts of individuals with major depressive disorder, bipolar disorder, and schizophrenia from the Psychiatric Genomics Consortium.MethodsThe samples comprised 1,622 suicide attempters and 8,786 nonattempters with major depressive disorder; 3,264 attempters and 5,500 nonattempters with bipolar disorder; and 1,683 attempters and 2,946 nonattempters with schizophrenia. A GWAS on suicide attempt was performed by comparing attempters to nonattempters with each disorder, followed by a meta-analysis across disorders. Polygenic risk scoring was used to investigate the genetic relationship between suicide attempt and the psychiatric disorders.ResultsThree genome-wide significant loci for suicide attempt were found: one associated with suicide attempt in major depressive disorder, one associated with suicide attempt in bipolar disorder, and one in the meta-analysis of suicide attempt in mood disorders. These associations were not replicated in independent mood disorder cohorts from the UK Biobank and iPSYCH. No significant associations were found in the meta-analysis of all three disorders. Polygenic risk scores for major depression were significantly associated with suicide attempt in major depressive disorder (R2=0.25%), bipolar disorder (R2=0.24%), and schizophrenia (R2=0.40%).ConclusionsThis study provides new information on genetic associations and demonstrates that genetic liability for major depression increases risk for suicide attempt across psychiatric disorders. Further collaborative efforts to increase sample size may help to robustly identify genetic associations and provide biological insights into the etiology of suicide attempt.
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- 2019
35. Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns.
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Czamara, Darina, Eraslan, Gökçen, Page, Christian M, Lahti, Jari, Lahti-Pulkkinen, Marius, Hämäläinen, Esa, Kajantie, Eero, Laivuori, Hannele, Villa, Pia M, Reynolds, Rebecca M, Nystad, Wenche, Håberg, Siri E, London, Stephanie J, O'Donnell, Kieran J, Garg, Elika, Meaney, Michael J, Entringer, Sonja, Wadhwa, Pathik D, Buss, Claudia, Jones, Meaghan J, Lin, David TS, MacIsaac, Julie L, Kobor, Michael S, Koen, Nastassja, Zar, Heather J, Koenen, Karestan C, Dalvie, Shareefa, Stein, Dan J, Kondofersky, Ivan, Müller, Nikola S, Theis, Fabian J, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Räikkönen, Katri, and Binder, Elisabeth B
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Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium ,Fetal Blood ,Humans ,DNA ,Risk Factors ,Cohort Studies ,DNA Methylation ,Epigenesis ,Genetic ,Pregnancy ,Genotype ,Infant ,Newborn ,Female ,Male ,Gene-Environment Interaction ,Genetics ,Pediatric ,Human Genome ,Prevention ,2.1 Biological and endogenous factors ,Epigenesis ,Genetic ,Infant ,Newborn ,MD Multidisciplinary - Abstract
Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike's information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk.
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- 2019
36. Dynamic DNA methylation changes in the maternal oxytocin gene locus (OXT) during pregnancy predict postpartum maternal intrusiveness
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Toepfer, Philipp, O'Donnell, Kieran J, Entringer, Sonja, Garg, Elika, Heim, Christine M, Lin, David TS, MacIsaac, Julia L, Kobor, Michael S, Meaney, Michael J, Provençal, Nadine, Binder, Elisabeth B, Wadhwa, Pathik D, and Buss, Claudia
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Reproductive Medicine ,Biomedical and Clinical Sciences ,Pediatric ,Genetics ,Reproductive health and childbirth ,Good Health and Well Being ,Adult ,DNA Methylation ,Depression ,Postpartum ,Epigenesis ,Genetic ,Female ,Humans ,Infant ,Newborn ,Male ,Maternal Behavior ,Mother-Child Relations ,Oxytocin ,Postpartum Period ,Pregnancy ,Promoter Regions ,Genetic ,Receptors ,Oxytocin ,Maternal behavior ,DNA methylation ,Behavioral epigenetics ,Estrogen sensitivity ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Biomedical and clinical sciences ,Psychology - 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
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- 2019
37. Identifying the Common Genetic Basis of Antidepressant Response
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Kasper, Siegfried, Zohar, Joseph, Souery, Daniel, Montgomery, Stuart, Albani, Diego, Forloni, Gianluigi, Ferentinos, Panagiotis, Rujescu, Dan, Mendlewicz, Julien, Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F.M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T.F., Bigdeli, Tim B., Binder, Elisabeth B., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R.I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K., Foo, Jerome C., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M., Howard, David M., Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A., Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O’Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C.B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, E.J.C., DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A.F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M., O’Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W.J.H., Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Pain, Oliver, Hodgson, Karen, Marshe, Victoria S., Campos, Adrian I., Carrillo-Roa, Tania, Cattaneo, Annamaria, Als, Thomas D., Dernovsek, Mojca Z., Fabbri, Chiara, Henigsberg, Neven, Hauser, Joanna, Kennedy, James L., Lenze, Eric J., Müller, Daniel J., Mulsant, Benoit H., Perroud, Nader, Rentería, Miguel E., Reynolds, Charles F., III, Wigmore, Eleanor M., Aitchison, Katherine J., Biernacka, Joanna M., Bondolfi, Guido, Kato, Masaki, Liu, Yu-Li, Serretti, Alessandro, Tsai, Shih-Jen, Turecki, Gustavo, and Weinshilboum, Richard
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- 2022
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38. Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning
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Rost, Nicolas, Brückl, Tanja M., Koutsouleris, Nikolaos, Binder, Elisabeth B., and Müller-Myhsok, Bertram
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- 2022
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39. PTSD Blood Transcriptome Mega-Analysis: Shared Inflammatory Pathways across Biological Sex and Modes of Trauma
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Breen, Michael S, Tylee, Daniel S, Maihofer, Adam X, Neylan, Thomas C, Mehta, Divya, Binder, Elisabeth B, Chandler, Sharon D, Hess, Jonathan L, Kremen, William S, Risbrough, Victoria B, Woelk, Christopher H, Baker, Dewleen G, Nievergelt, Caroline M, Tsuang, Ming T, Buxbaum, Joseph D, and Glatt, Stephen J
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Biological Psychology ,Biomedical and Clinical Sciences ,Neurosciences ,Psychology ,Genetics ,Anxiety Disorders ,Mental Illness ,Mental Health ,Brain Disorders ,Post-Traumatic Stress Disorder (PTSD) ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,Female ,Humans ,Male ,Sex Characteristics ,Stress Disorders ,Post-Traumatic ,Transcriptome ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Biological psychology - Abstract
Transcriptome-wide screens of peripheral blood during the onset and development of posttraumatic stress disorder (PTSD) indicate widespread immune dysregulation. However, little is known as to whether biological sex and the type of traumatic event influence shared or distinct biological pathways in PTSD. We performed a combined analysis of five independent PTSD blood transcriptome studies covering seven types of trauma in 229 PTSD and 311 comparison individuals to synthesize the extant data. Analyses by trauma type revealed a clear pattern of PTSD gene expression signatures distinguishing interpersonal (IP)-related traumas from combat-related traumas. Co-expression network analyses integrated all data and identified distinct gene expression perturbations across sex and modes of trauma in PTSD, including one wound-healing module downregulated in men exposed to combat traumas, one IL-12-mediated signaling module upregulated in men exposed to IP-related traumas, and two modules associated with lipid metabolism and mitogen-activated protein kinase activity upregulated in women exposed to IP-related traumas. Remarkably, a high degree of sharing of transcriptional dysregulation across sex and modes of trauma in PTSD was also observed converging on common signaling cascades, including cytokine, innate immune, and type I interferon pathways. Collectively, these findings provide a broad view of immune dysregulation in PTSD and demonstrate inflammatory pathways of molecular convergence and specificity, which may inform mechanisms and diagnostic biomarkers for the disorder.
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- 2018
40. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
- Author
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Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J, Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G, Bustamante, Mariona, Chatzi, Leda, Munthe-Kaas, Monica Cheng, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Smith, George Davey, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F, Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K, Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine AS, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A, Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild IA, and Starling, Anne P
- Subjects
Epidemiology ,Public Health ,Health Sciences ,Statistics ,Mathematical Sciences ,Child Health ,Cohort Studies ,DNA Methylation ,Environmental Pollution ,Epigenesis ,Genetic ,Female ,Folic Acid ,Humans ,Infant ,Newborn ,Maternal Exposure ,Maternal Health ,Pregnancy ,Prenatal Exposure Delayed Effects ,Public Health and Health Services ,Public health - Published
- 2018
41. Serial Diurnal Salivary Cortisol Profiles in 667 pregnant women – Association with Cardiometabolic Complications
- Author
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Schowe, Alicia M, primary, Czamara, Darina, additional, Lahti-Pulkkinen, Marius, additional, Girchenko, Polina, additional, Castro-Quintas, Águeda, additional, Fañanas, Lourdes, additional, Binder, Elisabeth B, additional, and Räikkönen, Katri, additional
- Published
- 2024
- Full Text
- View/download PDF
42. Linking environmental factors and gene regulation
- Author
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Penner-Goeke, Signe, primary and Binder, Elisabeth B, additional
- Published
- 2024
- Full Text
- View/download PDF
43. Methylation Patterns of the FKBP5 Gene in Association with Childhood Maltreatment and Depressive Disorders
- Author
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Großmann, Nora L., primary, Weihs, Antoine, additional, Kühn, Luise, additional, Sauer, Susann, additional, Röh, Simone, additional, Wiechmann, Tobias, additional, Rex-Haffner, Monika, additional, Völzke, Henry, additional, Völker, Uwe, additional, Binder, Elisabeth B., additional, Teumer, Alexander, additional, Homuth, Georg, additional, Klinger-König, Johanna, additional, and Grabe, Hans J., additional
- Published
- 2024
- Full Text
- View/download PDF
44. Chronic exposure to glucocorticoids amplifies inhibitory neuron cell fate during human neurodevelopment in organoids
- Author
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Dony, Leander, primary, Krontira, Anthi C., additional, Kaspar, Lea, additional, Ahmad, Ruhel, additional, Demirel, Ilknur Safak, additional, Grochowicz, Malgorzata, additional, Schaefer, Tim, additional, Begum, Fatema, additional, Sportelli, Vincenza, additional, Raimundo, Catarina, additional, Koedel, Maik, additional, Labeur, Marta, additional, Cappello, Silvia, additional, Theis, Fabian J., additional, Cruceanu, Cristiana, additional, and Binder, Elisabeth B., additional
- Published
- 2024
- Full Text
- View/download PDF
45. The role of the genome in experience-dependent plasticity : Extending the analogy of the genomic action potential
- Author
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Clayton, David F., Anreiter, Ina, Aristizabal, Maria, Frankland, Paul W., Binder, Elisabeth B., and Citri, Ami
- Published
- 2020
46. Glucocorticoid exposure during hippocampal neurogenesis primes future stress response by inducing changes in DNA methylation
- Author
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PREDO team, Provençal, Nadine, Arloth, Janine, Cattaneo, Annamaria, Anacker, Christoph, Cattane, Nadia, Wiechmann, Tobias, Röh, Simone, Ködel, Maik, Klengel, Torsten, Czamara, Darina, Müller, Nikola S., Lahti, Jari, Räikkönen, Katri, Pariante, Carmine M., and Binder, Elisabeth B.
- Published
- 2020
47. A genome-wide association study identifies key modulators of complement factor H binding to malondialdehyde-epitopes
- Author
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Alic, Lejla, Papac-Milicevic, Nikolina, Czamara, Darina, Rudnick, Ramona B., Ozsvar-Kozma, Maria, Hartmann, Andrea, Gurbisz, Michael, Hoermann, Gregor, Haslinger-Hutter, Stefanie, Zipfel, Peter F., Skerka, Christine, Binder, Elisabeth B., and Binder, Christoph J.
- Published
- 2020
48. Polygenic risk for immuno-metabolic markers and specific depressive symptoms: A multi-sample network analysis study
- Author
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Kappelmann, Nils, Czamara, Darina, Rost, Nicolas, Moser, Sylvain, Schmoll, Vanessa, Trastulla, Lucia, Stochl, Jan, Lucae, Susanne, Binder, Elisabeth B., Khandaker, Golam M., and Arloth, Janine
- Published
- 2021
- Full Text
- View/download PDF
49. Genome-wide association study of panic disorder reveals genetic overlap with neuroticism and depression
- Author
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Forstner, Andreas J., Awasthi, Swapnil, Wolf, Christiane, Maron, Eduard, Erhardt, Angelika, Czamara, Darina, Eriksson, Elias, Lavebratt, Catharina, Allgulander, Christer, Friedrich, Nina, Becker, Jessica, Hecker, Julian, Rambau, Stefanie, Conrad, Rupert, Geiser, Franziska, McMahon, Francis J., Moebus, Susanne, Hess, Timo, Buerfent, Benedikt C., Hoffmann, Per, Herms, Stefan, Heilmann-Heimbach, Stefanie, Kockum, Ingrid, Olsson, Tomas, Alfredsson, Lars, Weber, Heike, Alpers, Georg W., Arolt, Volker, Fehm, Lydia, Fydrich, Thomas, Gerlach, Alexander L., Hamm, Alfons, Kircher, Tilo, Pané-Farré, Christiane A., Pauli, Paul, Rief, Winfried, Ströhle, Andreas, Plag, Jens, Lang, Thomas, Wittchen, Hans-Ulrich, Mattheisen, Manuel, Meier, Sandra, Metspalu, Andres, Domschke, Katharina, Reif, Andreas, Hovatta, Iiris, Lindefors, Nils, Andersson, Evelyn, Schalling, Martin, Mbarek, Hamdi, Milaneschi, Yuri, de Geus, Eco J. C., Boomsma, Dorret I., Penninx, Brenda W. J. H., Thorgeirsson, Thorgeir E., Steinberg, Stacy, Stefansson, Kari, Stefansson, Hreinn, Müller-Myhsok, Bertram, Hansen, Thomas Folkmann, Børglum, Anders D., Werge, Thomas, Mortensen, Preben Bo, Nordentoft, Merete, Hougaard, David M., Hultman, Christina M., Sullivan, Patrick F., Nöthen, Markus M., Woldbye, David P. D., Mors, Ole, Binder, Elisabeth B., Rück, Christian, Ripke, Stephan, Deckert, Jürgen, and Schumacher, Johannes
- Published
- 2021
- Full Text
- View/download PDF
50. ERICH3: vesicular association and antidepressant treatment response
- Author
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Liu, Duan, Zhuang, Yongxian, Zhang, Lingxin, Gao, Huanyao, Neavin, Drew, Carrillo-Roa, Tania, Wang, Yani, Yu, Jia, Qin, Sisi, Kim, Daniel C., Liu, Erica, Nguyen, Thanh Thanh Le, Biernacka, Joanna M., Kaddurah-Daouk, Rima, Dunlop, Boadie W., Craighead, W. Edward, Mayberg, Helen S., Binder, Elisabeth B., Frye, Mark A., Wang, Liewei, and Weinshilboum, Richard M.
- Published
- 2021
- Full Text
- View/download PDF
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