395 results on '"Binder EB"'
Search Results
2. Hypertensive Disorders of Pregnancy and DNA Methylation in Newborns:Findings From the Pregnancy and Childhood Epigenetics Consortium
- Author
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Kazmi, N, Sharp, GC, Reese, SE, Vehmeijer, FO, Lahti, J, Page, CM, Zhang, WM, Rifas-Shiman, SL, Rezwan, FI, Simpkin, AJ, Burrows, K, Richardson, TG, Ferreira, D L S, Fraser, A, Harmon, QE, Zhao, SS, Jaddoe, Vincent, Czamara, D, Binder, EB, Magnus, MC, Haberg, SE, Nystad, W, Nohr, EA, Starling, AP, Kechris, KJ, Yang, IV, DeMeo, DL, Litonjua, AA, Baccarelli, A, Oken, E, Holloway, JW, Karmaus, W, Arshad, SH, Dabelea, D, Sorensen, TIA, Laivuori, H, Raikkonen, K, Felix, Janine, London, SJ, Hivert, MF, Gaunt, TR, Lawlor, DA, Relton, CL, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Developmental Psychology Research Group, Helsinki Collegium for Advanced Studies, University of Helsinki, HUS Gynecology and Obstetrics, Genomics of Neurological and Neuropsychiatric Disorders, Institute for Molecular Medicine Finland, Pregnancy and Genes, University Management, Department of Medical and Clinical Genetics, Helsinki Institute of Life Science HiLIFE, Faculty of Medicine, Epidemiology, Erasmus MC other, and Pediatrics
- Subjects
Adult ,pre-eclampsia ,hypertension ,BIRTH ,HYPOMETHYLATION ,VASOPRESSIN ,BLOOD-PRESSURE ,Gestational Age ,Epigenesis, Genetic ,preeclampsia ,Cohort Studies ,Hypertension, Pregnancy-Induced/diagnosis ,Pregnancy ,gestational hypertension ,Humans ,COHORT ,gestational age ,METAANALYSIS ,ASSOCIATIONS ,DNA methylation ,epigenetics ,NORWEGIAN MOTHER ,Infant, Newborn ,Pregnancy Outcome ,DNA ,ALSPAC ,Fetal Blood ,cardiovascular diseases ,3121 General medicine, internal medicine and other clinical medicine ,GENERATION R ,FETAL-GROWTH ,Female ,methylation ,DNA-Binding Proteins/genetics ,Infant, Premature ,Genome-Wide Association Study ,DNA Methylation/genetics - Abstract
Hypertensive disorders of pregnancy (HDP) are associated with low birth weight, shorter gestational age, and increased risk of maternal and offspring cardiovascular diseases later in life. The mechanisms involved are poorly understood, but epigenetic regulation of gene expression may play a part. We performed meta-analyses in the Pregnancy and Childhood Epigenetics Consortium to test the association between either maternal HDP (10 cohorts; n=5242 [cases=476]) or preeclampsia (3 cohorts; n=2219 [cases=135]) and epigenome-wide DNA methylation in cord blood using the Illumina HumanMethylation450 BeadChip. In models adjusted for confounders, and with Bonferroni correction, HDP and preeclampsia were associated with DNA methylation at 43 and 26 CpG sites, respectively. HDP was associated with higher methylation at 27 (63%) of the 43 sites, and across all 43 sites, the mean absolute difference in methylation was between 0.6% and 2.6%. Epigenome-wide associations of HDP with offspring DNA methylation were modestly consistent with the equivalent epigenome-wide associations of preeclampsia with offspring DNA methylation (R-2=0.26). In longitudinal analyses conducted in 1 study (n=108 HDP cases; 550 controls), there were similar changes in DNA methylation in offspring of those with and without HDP up to adolescence. Pathway analysis suggested that genes located at/near HDP-associated sites may be involved in developmental, embryogenesis, or neurological pathways. HDP is associated with offspring DNA methylation with potential relevance to development.
- Published
- 2019
3. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
- Author
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Felix, JF, Joubert, BR, Baccarelli, AA, Sharp, GC, Almqvist, C, Annesi-Maesano, I, Arshad, H, Baïz, N, Bakermans-Kranenburg, MJ, Bakulski, KM, Binder, EB, Bouchard, L, Breton, CV, Brunekreef, B, Brunst, KJ, Burchard, EG, Bustamante, M, Chatzi, L, Munthe-Kaas, M, Corpeleijn, E, Czamara, D, Dabelea, D, Smith, G, De Boever, P, Duijts, L, Dwyer, T, Eng, C, Eskenazi, B, Everson, TM, Falahi, F, Fallin, MD, Farchi, S, Fernandez, MF, Gao, L, Gaunt, TR, Ghantous, A, Gillman, MW, Gonseth, S, Grote, V, Gruzieva, O, Håberg, SE, Herceg, Z, Hivert, M-F, Holland, N, Holloway, JW, Hoyo, C, Hu, D, Huang, R-C, Huen, K, Järvelin, M-R, Jima, DD, Just, AC, Karagas, MR, Karlsson, R, Karmaus, W, Kechris, KJ, Kere, J, Kogevinas, M, Koletzko, B, Koppelman, GH, Küpers, LK, Ladd-Acosta, C, Lahti, J, Lambrechts, N, Langie, SAS, Lie, RT, Liu, AH, Magnus, MC, Magnus, P, Maguire, RL, Marsit, CJ, McArdle, W, Melén, E, Melton, P, Murphy, SK, Nawrot, TS, Nisticò, L, Nohr, EA, Nordlund, B, Nystad, W, Oh, SS, Oken, E, Page, CM, Perron, P, Pershagen, G, Pizzi, C, Plusquin, M, Raikkonen, K, Reese, SE, Reischl, E, Richiardi, L, Ring, S, Roy, RP, Rzehak, P, Schoeters, G, Schwartz, DA, Sebert, S, Snieder, H, Sørensen, TIA, Starling, AP, Sunyer, J, Taylor, JA, Tiemeier, H, Ullemar, V, Vafeiadi, M, Van Ijzendoorn, MH, Vonk, JM, Vriens, A, Vrijheid, M, Wang, P, Wiemels, JL, Wilcox, AJ, Wright, RJ, Xu, C-J, Xu, Z, Yang, IV, Yousefi, P, Zhang, H, Zhang, W, Zhao, S, Agha, G, Relton, CL, Jaddoe, VWV, London, SJ, Epidemiology, Erasmus MC other, Pediatrics, Child and Adolescent Psychiatry / Psychology, Psychiatry, Research Methods and Techniques, dIRAS RA-2, One Health Chemisch, Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Groningen Research Institute for Asthma and COPD (GRIAC), Life Course Epidemiology (LCE), Department of Psychology and Logopedics, Helsinki Collegium for Advanced Studies, Medicum, University of Helsinki, and Developmental Psychology Research Group
- Subjects
DNA Methylation/physiology ,Epidemiology ,Maternal Health ,education ,Embaràs ,DISEASE ,Environmental Pollution/analysis ,Epigenesis, Genetic ,Cohort Studies ,Prenatal Exposure Delayed Effects/epidemiology ,Folic Acid ,Pregnancy ,Journal Article ,Humans ,MATERNAL SMOKING ,CORD BLOOD ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,Cohort Profiles ,METAANALYSIS ,PRENATAL EXPOSURE ,Maternal Exposure/adverse effects ,EPIGENOME-WIDE ASSOCIATION ,0104 Statistics ,Child Health ,Infant, Newborn ,DNA METHYLATION DATA ,DNA Methylation ,Epigenètica ,BIRTH-WEIGHT ,3142 Public health care science, environmental and occupational health ,Folic Acid/blood ,1117 Public Health And Health Services ,Maternal Exposure ,Prenatal Exposure Delayed Effects ,MENDELIAN RANDOMIZATION ,Epigenetics ,Female ,Human medicine ,Environmental Pollution - Abstract
UK Medical Research Council; Wellcome Trust [102215/2/13/2, WT088806, 084762MA]; UK Biotechnology and Biological Sciences Research Council [BB/I025751/1, BB/I025263/1]; UK Medical Research Council Integrative Epidemiology Unit; University of Bristol [MC_UU_12013_1, MC_UU_12013_2, MC_UU_12013_5, MC_UU_12013_8]; United States National Institute of Diabetes and Digestive and Kidney Diseases [R01 DK10324]; Swedish Research Council; Swedish Heart-Lung Foundation; Freemason Child House Foundation in Stockholm; MeDALL (Mechanisms of the Development of ALLergy), within the European Union [261357]; Stockholm County Council (ALF); Swedish Foundation for Strategic Research (SSF) [RBc08-0027]; Strategic Research Programme (SFO) in Epidemiology at Karolinska Institutet; Swedish Research Council Formas; Swedish Environment Protection Agency; Center for Integrative Research on Childhood Leukemia and the Environment [P01ES018172]; NIH [P50ES018172, R01ES09137, 5P30CA082103, P01 ES009605, R01 ES021369, R01ES023067, K01ES017801, R01ES022216, P30ES007048, R01ES014447, P01ES009581, R826708-01, RD831861-01, P50ES026086, R01DK068001, R01 DK100340, R01 DK076648, R01ES022934, R01HL111108, R01NR013945, R37 HD034568, UL1 TR001082, P30 DK56350]; EPA [RD83451101, RD83615901, RD 82670901, RD 83451301, 83615801-0]; UCSF Comprehensive Cancer Center Support grant [P30 CA82103]; Swiss Science National Foundation [P2LAP3_158674]; Sutter-Stottner Foundation; Commission of the European Community, specific RTD Programme 'Quality of Life and Management of Living Resources' within the 5th Framework Programme [QLRT-2001-00389, QLK1-CT-2002-30582]; 6th Framework Programme [007036]; European Union's Seventh Framework Programme (FP7), project EarlyNutrition [289346]; European Research Council Advanced grant ERC-AdG [322605 META-GROWTH]; Autism Speaks grant [260377]; Funds for Research in Respiratory Health; French Ministry of Research: IFR program; INSERM Nutrition Research Program; French Ministry of Health: Perinatality Program; French National Institute for Population Health Surveillance (INVS); Paris-Sud University; French National Institute for Health Education (INPES); Nestle; Mutuelle Generale de l'Education Nationale (MGEN); French-speaking association for the study of diabetes and metabolism (Alfediam) [2012/51290-6]; EU; European Research Council [ERC-2012-StG.310898, 268479-BREATHE]; Flemish Scientific Research Council (FWO) [N1516112 / G.0.873.11N.10]; European Community's Seventh Framework Programme FP7 project EXPOsOMICS [308610]; People Program (Marie Curie Actions) of the European Union's Seventh Framework Program FP7 under REA grant [628858]; Bijzonder Onderzoeksfonds (BOF) Hasselt University; Ministry of the Flemish Community (Department of Economics, Science and Innovation); Ministry of the Flemish Community (Department of Environment, Nature and Energy); CEFIC LRI award by the Research Foundation-Flanders (FWO); CEFIC LRI award by the Research Foundation-Flanders (FWO) [12L5216N]; Flemish Institute for Technological Research (VITO) [12L5216N]; Bill AMP; Melinda Gates Foundation Grand Challenges Exploration grant [OPP119403]; Sandler Family Foundation; American Asthma Foundation; National Institutes of Health; National Heart, Lung and Blood Institute [HL117004]; National Institute of Environmental Health Sciences [ES24844]; National Institute on Minority Health and Health Disparities [MD006902, MD009523]; National Institute of General Medical Sciences [GM007546]; Tobacco-Related Disease Research Program [24RT-0025]; Hutchison Whampoa Ltd, Hong Kong; University of Groningen; Well Baby Clinic Foundation Icare; Noordlease; Youth Health Care Drenthe; Biobanking and Biomolecular Research Infrastructure Netherlands [CP2011-19]; Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organization for Health Research and Development; Netherlands Genomics Initiative (NGI)/Netherlands Organization for Scientific Research (NWO); Netherlands Consortium for Healthy Aging (NCHA) [050-060-810]; Genetic Laboratory of the Department of Internal Medicine, Erasmus MC; European Union's Horizon research and innovation programme [733206, 633595]; National Institute of Child and Human Development [R01HD068437]; Netherlands Organization for Health Research and Development [VIDI 016.136.361]; Consolidator grant from the European Research Council [ERC-2014-CoG-648916]; Netherlands' Organization for Scientific Research (NWO VICI); European Research Council ERC; Netherlands' Organization for Scientific Research (NWO Spinoza Award); Gravitation program of the Dutch Ministry of Education, Culture, and Science; Netherlands Organization for Scientific Research (NWO) [024.001.003]; Lung Foundation Netherlands [3.2.12.089]; Fonds de Recherche du Quebec en Sante (FRQ-S) [20697]; Canadian Institute of Health Reseach (CIHR) [MOP 115071]; Diabete Quebec grant; Canadian Diabetes Association operating grant [OG-3-08-2622]; American Diabetes Association Pathways Accelerator Early Investigator Award [1-15-ACE-26]; MRC Integrative Epidemiology Unit - Medical Research Council [MC_UU_12013/1-9]; National Institute of Environmental Health Sciences, National Institutes of Health [K99ES025817]; Instituto de Salud Carlos III [Red INMA G03/176, CB06/02/0041]; Spanish Ministry of Health [FIS-PI04/1436, FIS-PI08/1151]; Spanish Ministry of Health (FEDER funds) [FIS-PI11/00610, FIS-FEDER-PI06/0867, FIS-FEDER-PI03-1615]; Generalitat de Catalunya [CIRIT 1999SGR 00241]; Fundacio La Marato de TV3 [090430]; EU Commission [261357-MeDALL]; National Institute of Allergy and Infectious Diseases [N01-AI90052]; National Institutes of Health USA [R01 HL082925, R01 HL132321]; Asthma UK [364]; NIAID/NIH [R01AI091905, R01AI121226]; National Institute of Health [R01AI121226, R01 AI091905, R01HL132321]; NIH/NIEHS [N01-ES75558]; NIH/NINDS [1 UO1 NS 047537-01, 2 UO1 NS 047537-06A1]; Intramural Research Program of the NIH, National Institute of Environmental Health Sciences [Z01-ES-49019, Z01 ES044005, ES049033, ES049032]; Norwegian Research Council/BIOBANK [221097]; Oslo University Hospital; Unger-Vetlesens foundation; Norwegian American Womens Club; INCA/Plan Cancer-EVA-INSERM, France; International Childhood Cancer Cohort Consortium (I4C); INCA/Plan Cancer-EVA-INSERM (France); IARC Postdoctoral Fellowship; EC FP7 Marie Curie Actions-People-Co-funding of regional, national and international programmes (COFUND); NIEHS [R21ES014947, R01ES016772]; NIDDK [R01DK085173]; National Institute of Environmental Health Science [P30 ES025128]; University of Oulu grant [65354]; Oulu University Hospital [2/97, 8/97]; Ministry of Health and Social Affairs [23/251/97, 160/97, 190/97]; National Institute for Health and Welfare, Helsinki [54121]; Regional Institute of Occupational Health, Oulu, Finland [50621, 54231]; EU [QLG1-CT-2000-01643, E51560]; NorFA grant [731, 20056, 30167]; Academy of Finland; NIH-NIEHS [P01 ES022832]; US EPA [RD83544201]; NIH-NIGMS [P20GM104416]; NCI [R25CA134286]; Netherlands Organization for Scientific Research and Development; Netherlands Asthma Fund; Netherlands Ministry of Spatial Planning, Housing, and the Environment; Netherlands Ministry of Health, Welfare, and Sport; MeDALL; European Union under the Health Cooperation Work Program of the 7th Framework program [261357]; Italian National Centre for Disease Prevention and Control (CCM grant); Italian Ministry of Health (art 12); Italian Ministry of Health (12bis Dl.gs.vo) [502/92]; EraNet; EVO; University of Helsinki Research Funds; Signe and Ane Gyllenberg foundation; Emil Aaltonen Foundation; Finnish Medical Foundation; Jane and Aatos Erkko Foundation; Novo Nordisk Foundation; Paivikki and Sakari Sohlberg Foundation; Sigrid Juselius Foundation; University of Helsinki; University of Western Australia (UWA); Curtin University; Raine Medical Research Foundation; UWA Faculty of Medicine, Dentistry and Health Sciences; Telethon Kids Institute; Women's and Infant's Research Foundation (KEMH); Edith Cowan University; National Health and Medical Research Council [1059711]; National Health and Medical Research Council (NHMRC) fellowship [1053384]; Australian National Health and Medical Research Council; United States National Institute of Health; Greek Ministry of Health (programme of prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece); Greek Ministry of Health ('Rhea Plus': Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health); European Union (EU) [EU FP6-2003-Food-3-NewGeneris, EU FP7 ENV.2007.1.2.2.2, 211250 ESCAPE, EU FP7-2008-ENV-1.2.1.4 Envirogenomarkers, EU FP7 ENV.2008.1.2.1.6, 226285 ENRIECO]; National Institutes of Health [NIH-NIMH R01MH094609, NIH-NIEHS R01ES022223, NIH-NIEHS R01ES025145]; Centers for Disease Control and Prevention [U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, U10DD000498]; Autism Speaks [7659]; Swedish Research Council through the Swedish Initiative for research on Microdata in the Social And Medical Sciences (SIMSAM) [340-2013-5867]; Stockholm County Council (ALF projects); Strategic Research Program in Epidemiology at Karolinska Institutet; Swedish Asthma and Allergy Association's Research Foundation; Stiftelsen Frimurare Barnahuset Stockholm; Norwegian Ministry of Health and Care Services; Ministry of the Flemish Community (Flemish Agency for Care and Health); University of Bristol; Ministry of Education and Research; European Union (EU) (EU FP7-HEALTH-single stage CHICOS); European Union (EU) (EU-FP7-HEALTH) [308333 HELIX]; European Union (EU) (EU FP6. STREP HiWATE); UK Medical Research Council; Wellcome Trust [102215/2/13/2, WT088806, 084762MA]; UK Biotechnology and Biological Sciences Research Council [BB/I025751/1, BB/I025263/1]; UK Medical Research Council Integrative Epidemiology Unit; University of Bristol [MC_UU_12013_1, MC_UU_12013_2, MC_UU_12013_5, MC_UU_12013_8]; United States National Institute of Diabetes and Digestive and Kidney Diseases [R01 DK10324]; Swedish Research Council; Swedish Heart-Lung Foundation; Freemason Child House Foundation in Stockholm; MeDALL (Mechanisms of the Development of ALLergy), within the European Union [261357]; Stockholm County Council (ALF); Swedish Foundation for Strategic Research (SSF) [RBc08-0027]; Strategic Research Programme (SFO) in Epidemiology at Karolinska Institutet; Swedish Research Council Formas; Swedish Environment Protection Agency; Center for Integrative Research on Childhood Leukemia and the Environment [P01ES018172]; NIH [P50ES018172, R01ES09137, 5P30CA082103, P01 ES009605, R01 ES021369, R01ES023067, K01ES017801, R01ES022216, P30ES007048, R01ES014447, P01ES009581, R826708-01, RD831861-01, P50ES026086, R01DK068001, R01 DK100340, R01 DK076648, R01ES022934, R01HL111108, R01NR013945, R37 HD034568, UL1 TR001082, P30 DK56350]; EPA [RD83451101, RD83615901, RD 82670901, RD 83451301, 83615801-0]; UCSF Comprehensive Cancer Center Support grant [P30 CA82103]; Swiss Science National Foundation [P2LAP3_158674]; Sutter-Stottner Foundation; Commission of the European Community, specific RTD Programme 'Quality of Life and Management of Living Resources' within the 5th Framework Programme [QLRT-2001-00389, QLK1-CT-2002-30582]; 6th Framework Programme [007036]; European Union's Seventh Framework Programme (FP7), project EarlyNutrition [289346]; European Research Council Advanced grant ERC-AdG [322605 META-GROWTH]; Autism Speaks grant [260377]; Funds for Research in Respiratory Health; French Ministry of Research: IFR program; INSERM Nutrition Research Program; French Ministry of Health: Perinatality Program; French National Institute for Population Health Surveillance (INVS); Paris-Sud University; French National Institute for Health Education (INPES); Nestle; Mutuelle Generale de l'Education Nationale (MGEN); French-speaking association for the study of diabetes and metabolism (Alfediam) [2012/51290-6]; EU; European Research Council [ERC-2012-StG.310898, 268479-BREATHE]; Flemish Scientific Research Council (FWO) [N1516112 / G.0.873.11N.10]; European Community's Seventh Framework Programme FP7 project EXPOsOMICS [308610]; People Program (Marie Curie Actions) of the European Union's Seventh Framework Program FP7 under REA grant [628858]; Bijzonder Onderzoeksfonds (BOF) Hasselt University; Ministry of the Flemish Community (Department of Economics, Science and Innovation); Ministry of the Flemish Community (Department of Environment, Nature and Energy); CEFIC LRI award by the Research Foundation-Flanders (FWO); CEFIC LRI award by the Research Foundation-Flanders (FWO) [12L5216N]; Flemish Institute for Technological Research (VITO) [12L5216N]; Bill AMP; Melinda Gates Foundation Grand Challenges Exploration grant [OPP119403]; Sandler Family Foundation; American Asthma Foundation; National Institutes of Health; National Heart, Lung and Blood Institute [HL117004]; National Institute of Environmental Health Sciences [ES24844]; National Institute on Minority Health and Health Disparities [MD006902, MD009523]; National Institute of General Medical Sciences [GM007546]; Tobacco-Related Disease Research Program [24RT-0025]; Hutchison Whampoa Ltd, Hong Kong; University of Groningen; Well Baby Clinic Foundation Icare; Noordlease; Youth Health Care Drenthe; Biobanking and Biomolecular Research Infrastructure Netherlands [CP2011-19]; Erasmus Medical Center, Rotterdam; Erasmus University Rotterdam; Netherlands Organization for Health Research and Development; Netherlands Genomics Initiative (NGI)/Netherlands Organization for Scientific Research (NWO); Netherlands Consortium for Healthy Aging (NCHA) [050-060-810]; Genetic Laboratory of the Department of Internal Medicine, Erasmus MC; European Union's Horizon research and innovation programme [733206, 633595]; National Institute of Child and Human Development [R01HD068437]; Netherlands Organization for Health Research and Development [VIDI 016.136.361]; Consolidator grant from the European Research Council [ERC-2014-CoG-648916]; Netherlands' Organization for Scientific Research (NWO VICI); European Research Council ERC; Netherlands' Organization for Scientific Research (NWO Spinoza Award); Gravitation program of the Dutch Ministry of Education, Culture, and Science; Netherlands Organization for Scientific Research (NWO) [024.001.003]; Lung Foundation Netherlands [3.2.12.089]; Fonds de Recherche du Quebec en Sante (FRQ-S) [20697]; Canadian Institute of Health Reseach (CIHR) [MOP 115071]; Diabete Quebec grant; Canadian Diabetes Association operating grant [OG-3-08-2622]; American Diabetes Association Pathways Accelerator Early Investigator Award [1-15-ACE-26]; MRC Integrative Epidemiology Unit - Medical Research Council [MC_UU_12013/1-9]; National Institute of Environmental Health Sciences, National Institutes of Health [K99ES025817]; Instituto de Salud Carlos III [Red INMA G03/176, CB06/02/0041]; Spanish Ministry of Health [FIS-PI04/1436, FIS-PI08/1151]; Spanish Ministry of Health (FEDER funds) [FIS-PI11/00610, FIS-FEDER-PI06/0867, FIS-FEDER-PI03-1615]; Generalitat de Catalunya [CIRIT 1999SGR 00241]; Fundacio La Marato de TV3 [090430]; EU Commission [261357-MeDALL]; National Institute of Allergy and Infectious Diseases [N01-AI90052]; National Institutes of Health USA [R01 HL082925, R01 HL132321]; Asthma UK [364]; NIAID/NIH [R01AI091905, R01AI121226]; National Institute of Health [R01AI121226, R01 AI091905, R01HL132321]; NIH/NIEHS [N01-ES75558]; NIH/NINDS [1 UO1 NS 047537-01, 2 UO1 NS 047537-06A1]; Intramural Research Program of the NIH, National Institute of Environmental Health Sciences [Z01-ES-49019, Z01 ES044005, ES049033, ES049032]; Norwegian Research Council/BIOBANK [221097]; Oslo University Hospital; Unger-Vetlesens foundation; Norwegian American Womens Club; INCA/Plan Cancer-EVA-INSERM, France; International Childhood Cancer Cohort Consortium (I4C); INCA/Plan Cancer-EVA-INSERM (France); IARC Postdoctoral Fellowship; EC FP7 Marie Curie Actions-People-Co-funding of regional, national and international programmes (COFUND); NIEHS [R21ES014947, R01ES016772]; NIDDK [R01DK085173]; National Institute of Environmental Health Science [P30 ES025128]; University of Oulu grant [65354]; Oulu University Hospital [2/97, 8/97]; Ministry of Health and Social Affairs [23/251/97, 160/97, 190/97]; National Institute for Health and Welfare, Helsinki [54121]; Regional Institute of Occupational Health, Oulu, Finland [50621, 54231]; EU [QLG1-CT-2000-01643, E51560]; NorFA grant [731, 20056, 30167]; Academy of Finland; NIH-NIEHS [P01 ES022832]; US EPA [RD83544201]; NIH-NIGMS [P20GM104416]; NCI [R25CA134286]; Netherlands Organization for Scientific Research and Development; Netherlands Asthma Fund; Netherlands Ministry of Spatial Planning, Housing, and the Environment; Netherlands Ministry of Health, Welfare, and Sport; MeDALL; European Union under the Health Cooperation Work Program of the 7th Framework program [261357]; Italian National Centre for Disease Prevention and Control (CCM grant); Italian Ministry of Health (art 12); Italian Ministry of Health (12bis Dl.gs.vo) [502/92]; EraNet; EVO; University of Helsinki Research Funds; Signe and Ane Gyllenberg foundation; Emil Aaltonen Foundation; Finnish Medical Foundation; Jane and Aatos Erkko Foundation; Novo Nordisk Foundation; Paivikki and Sakari Sohlberg Foundation; Sigrid Juselius Foundation; University of Helsinki; University of Western Australia (UWA); Curtin University; Raine Medical Research Foundation; UWA Faculty of Medicine, Dentistry and Health Sciences; Telethon Kids Institute; Women's and Infant's Research Foundation (KEMH); Edith Cowan University; National Health and Medical Research Council [1059711]; National Health and Medical Research Council (NHMRC) fellowship [1053384]; Australian National Health and Medical Research Council; United States National Institute of Health; Greek Ministry of Health (programme of prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece); Greek Ministry of Health ('Rhea Plus': Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health); European Union (EU) [EU FP6-2003-Food-3-NewGeneris, EU FP7 ENV.2007.1.2.2.2, 211250 ESCAPE, EU FP7-2008-ENV-1.2.1.4 Envirogenomarkers, EU FP7 ENV.2008.1.2.1.6, 226285 ENRIECO]; National Institutes of Health [NIH-NIMH R01MH094609, NIH-NIEHS R01ES022223, NIH-NIEHS R01ES025145]; Centers for Disease Control and Prevention [U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, U10DD000498]; Autism Speaks [7659]; Swedish Research Council through the Swedish Initiative for research on Microdata in the Social And Medical Sciences (SIMSAM) [340-2013-5867]; Stockholm County Council (ALF projects); Strategic Research Program in Epidemiology at Karolinska Institutet; Swedish Asthma and Allergy Association's Research Foundation; Stiftelsen Frimurare Barnahuset Stockholm; Norwegian Ministry of Health and Care Services; Ministry of the Flemish Community (Flemish Agency for Care and Health); University of Bristol; Ministry of Education and Research; European Union (EU) (EU FP7-HEALTH-single stage CHICOS); European Union (EU) (EU-FP7-HEALTH) [308333 HELIX]; European Union (EU) (EU FP6. STREP HiWATE); [R01ES017646]; [R01ES01900]; [R01ES16443]; [USA / NIHH 2000 G DF682]; [50945]; [R01 HL095606]; [R01 HL1143396]
- Published
- 2018
4. An epigenome-wide association study meta-analysis of educational attainment
- Author
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Karlsson Linnér, R, Marioni, RE, Rietveld, CA, Simpkin, AJ, Davies, NM, Watanabe, K, Armstrong, NJ, Auro, K, Baumbach, C, Bonder, MJ, Buchwald, J, Fiorito, G, Ismail, K, Iurato, S, Joensuu, A, Karell, P, Kasela, S, Lahti, J, McRae, AF, Mandaviya, PR, Seppälä, I, Wang, Y, Baglietto, L, Binder, EB, Harris, SE, Hodge, AM, Horvath, S, Hurme, M, Johannesson, M, Latvala, A, Mather, KA, Medland, SE, Metspalu, A, Milani, L, Milne, RL, Pattie, A, Pedersen, NL, Peters, A, Polidoro, S, Räikkönen, K, Severi, G, Starr, JM, Stolk, L, Waldenberger, M, BIOS Consortium, Eriksson, JG, Esko, T, Franke, L, Gieger, C, Giles, GG, Hägg, S, Jousilahti, P, Kaprio, J, Kähönen, M, Lehtimäki, T, Martin, NG, Van Meurs, JBC, Ollikainen, M, Perola, M, Posthuma, D, Raitakari, OT, Sachdev, PS, Taskesen, E, Uitterlinden, AG, Vineis, P, Wijmenga, C, Wright, MJ, Relton, C, Davey Smith, G, Deary, IJ, Koellinger, PD, and Benjamin, DJ
- Subjects
17 Psychology And Cognitive Sciences ,Psychiatry ,BIOS Consortium ,11 Medical And Health Sciences ,06 Biological Sciences - Abstract
The epigenome is associated with biological factors, such as disease status, and environmental factors, such as smoking, alcohol consumption and body mass index. Although there is a widespread perception that environmental influences on the epigenome are pervasive and profound, there has been little evidence to date in humans with respect to environmental factors that are biologically distal. Here we provide evidence on the associations between epigenetic modifications-in our case, CpG methylation-and educational attainment (EA), a biologically distal environmental factor that is arguably among the most important life-shaping experiences for individuals. Specifically, we report the results of an epigenome-wide association study meta-analysis of EA based on data from 27 cohort studies with a total of 10 767 individuals. We find nine CpG probes significantly associated with EA. However, robustness analyses show that all nine probes have previously been found to be associated with smoking. Only two associations remain when we perform a sensitivity analysis in the subset of never-smokers, and these two probes are known to be strongly associated with maternal smoking during pregnancy, and thus their association with EA could be due to correlation between EA and maternal smoking. Moreover, the effect sizes of the associations with EA are far smaller than the known associations with the biologically proximal environmental factors alcohol consumption, body mass index, smoking and maternal smoking during pregnancy. Follow-up analyses that combine the effects of many probes also point to small methylation associations with EA that are highly correlated with the combined effects of smoking. If our findings regarding EA can be generalized to other biologically distal environmental factors, then they cast doubt on the hypothesis that such factors have large effects on the epigenome.Molecular Psychiatry advance online publication, 31 October 2017; doi:10.1038/mp.2017.210.
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- 2017
5. Erratum: Variations in tryptophan hydroxylase 2 linked to decreased serotonergic activity are associated with elevated risk for metabolic syndrome in depression
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Kloiber, S, Kohli, MA, Brueckl, T, Ripke, S, Ising, M, Uhr, M, Menke, A, Unschuld, PG, Horstmann, S, Salyakina, D, Muller-Myhsok, B, Binder, EB, Holsboer, F, and Lucae, S
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- 2010
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6. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
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O’dushlaine, C, Rossin, L, Lee, PH, Duncan, L, Parikshak, NN, Newhouse, S, Ripke, S, Neale, BM, Purcell, SM, Posthuma, D, Nurnberger, JI, Lee, SH, Faraone, SV, Perlis, RH, Mowry, BJ, Thapar, A, Goddard, ME, Witte, JS, Absher, D, Agartz, I, Akil, H, Amin, F, Andreassen, OA, Anjorin, A, Anney, R, Anttila, V, Arking, DE, Asherson, P, Azevedo, MH, Backlund, L, Badner, JA, Bailey, AJ, Banaschewski, T, Barchas, JD, Barnes, MR, Barrett, TB, Bass, N, Battaglia, A, Bauer, M, Bayés, M, Bellivier, F, Bergen, SE, Berrettini, W, Betancur, C, Bettecken, T, Biederman, J, Binder, EB, Black, DW, Blackwood, DHR, Bloss, CS, Boehnke, M, Boomsma, DI, Breuer, R, Bruggeman, R, Cormican, P, Buccola, NG, Buitelaar, JK, Bunney, WE, Buxbaum, JD, Byerley, WF, Byrne, EM, Caesar, S, Cahn, W, Cantor, RM, Casas, M, Chakravarti, A, Chambert, K, Choudhury, K, and Cichon, S
- Abstract
© 2015 Nature America, Inc. All rights reserved. Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders.
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- 2015
7. Familiality and SNP heritability of age at onset and episodicity in major depressive disorder
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Ferentinos, P, Koukounari, A, Power, R, Rivera, M, Uher, R, Craddock, N, Owen, MJ, Korszun, A, Jones, L, Jones, I, Gill, M, Rice, JP, Ising, M, Maier, W, Mors, O, Rietschel, M, Preisig, M, Binder, EB, Aitchison, KJ, Mendlewicz, J, Souery, D, Hauser, J, Henigsberg, N, Breen, G, Craig, IW, Farmer, AE, Müller-Myhsok, B, McGuffin, P, and Lewis, CM
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Adult ,Male ,Adolescent ,Genotype ,heritability ,Interviews as Topic ,Age at onset, episodicity, familiality, GCTA, heritability, major depression ,Young Adult ,Germany ,Humans ,familiality ,Genetic Predisposition to Disease ,ddc:610 ,Age of Onset ,Aged ,Aged, 80 and over ,GCTA ,Depressive Disorder, Major ,Polymorphism, Genetic ,Siblings ,Age at onset ,genetics [Depressive Disorder, Major] ,Original Articles ,Middle Aged ,United Kingdom ,Phenotype ,Linear Models ,episodicity ,Female ,major depression - Abstract
BACKGROUND: Strategies to dissect phenotypic and genetic heterogeneity of major depressive disorder (MDD) have mainly relied on subphenotypes, such as age at onset (AAO) and recurrence/episodicity. Yet, evidence on whether these subphenotypes are familial or heritable is scarce. The aims of this study are to investigate the familiality of AAO and episode frequency in MDD and to assess the proportion of their variance explained by common single nucleotide polymorphisms (SNP heritability).METHOD: For investigating familiality, we used 691 families with 2-5 full siblings with recurrent MDD from the DeNt study. We fitted (square root) AAO and episode count in a linear and a negative binomial mixed model, respectively, with family as random effect and adjusting for sex, age and center. The strength of familiality was assessed with intraclass correlation coefficients (ICC). For estimating SNP heritabilities, we used 3468 unrelated MDD cases from the RADIANT and GSK Munich studies. After similarly adjusting for covariates, derived residuals were used with the GREML method in GCTA (genome-wide complex trait analysis) software.RESULTS: Significant familial clustering was found for both AAO (ICC = 0.28) and episodicity (ICC = 0.07). We calculated from respective ICC estimates the maximal additive heritability of AAO (0.56) and episodicity (0.15). SNP heritability of AAO was 0.17 (p = 0.04); analysis was underpowered for calculating SNP heritability of episodicity.CONCLUSIONS: AAO and episodicity aggregate in families to a moderate and small degree, respectively. AAO is under stronger additive genetic control than episodicity. Larger samples are needed to calculate the SNP heritability of episodicity. The described statistical framework could be useful in future analyses.
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- 2015
8. The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data
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Thompson, PM, Stein, JL, Medland, SE, Hibar, DP, Vasquez, AA, Renteria, ME, Toro, R, Jahanshad, N, Schumann, G, Franke, B, Wright, MJ, Martin, NG, Agartz, I, Alda, M, Alhusaini, S, Almasy, L, Almeida, J, Alpert, K, Andreasen, NC, Andreassen, OA, Apostolova, LG, Appel, K, Armstrong, NJ, Aribisala, B, Bastin, ME, Bauer, M, Bearden, CE, Bergmann, Ø, Binder, EB, Blangero, J, Bockholt, HJ, Bøen, E, Bois, C, Boomsma, DI, Booth, T, Bowman, IJ, Bralten, J, Brouwer, RM, Brunner, HG, Brohawn, DG, Buckner, RL, Buitelaar, J, Bulayeva, K, Bustillo, JR, Calhoun, VD, Cannon, DM, Cantor, RM, Carless, MA, Caseras, X, Cavalleri, GL, Chakravarty, MM, Chang, KD, Ching, CRK, Christoforou, A, Cichon, S, Clark, VP, Conrod, P, Coppola, G, Crespo-Facorro, B, Curran, JE, Czisch, M, Deary, IJ, de Geus, EJC, den Braber, A, Delvecchio, G, Depondt, C, de Haan, L, de Zubicaray, GI, Dima, D, Dimitrova, R, and Djurovic, S
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endocrine system - Abstract
The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way. © 2014 The Author(s).
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- 2014
9. A mega-analysis of genome-wide association studies for major depressive disorder
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Ripke, S, Wray, NR, Lewis, CM, Hamilton, SP, Weissman, MM, Breen, G, Byrne, EM, Blackwood, DHR, Boomsma, DI, Cichon, S, Heath, AC, Holsboer, F, Lucae, S, Madden, PA, Martin, NG, McGuffin, P, Muglia, P, Noethen, MM, Penninx, BP, Pergadia, ML, Potash, JB, Rietschel, M, Lin, DY, Muller-Myhsok, B, Shi, J, Steinberg, S, Grabe, HJ, Lichtenstein, P, Magnusson, P, Perlis, RH, Preisig, M, Smoller, JW, Stefansson, K, Uher, R, Kutalik, Z, Tansey, KE, Teumer, A, Viktorin, A, Barnes, MR, Bettecken, T, Binder, EB, Breuer, R, Castro, VM, Churchill, SE, Coryell, WH, Craddock, N, Craig, IW, Czamara, D, de Geus, EJC, Degenhardt, F, Farmer, AE, Fava, M, Frank, J, Gainer, VS, Gallagher, PJ, Gordon, SD, Goryachev, S, Gross, M, Guipponi, M, Henders, AK, Herms, S, Hickie, IB, Hoefels, S, Hoogendijk, Witte, Hottenga, JJ (Jouke Jan), Iosifescu, DV, Ising, M, Jones, I, Jones, L, Jung-Ying, T, Knowles, JA, Kohane, IS, Kohli, MA, Korszun, A, Landen, M, Lawson, WB, Lewis, G, MacIntyre, DJ, Maier, W, Mattheisen, M, McGrath, PJ, McIntosh, A, McLean, AW, Middeldorp, CM (Christel), Middleton, L, Montgomery, GM, Murphy, SN, Nauck, M, Nolen, WA, Nyholt, DR, O' Donovan, M, Oskarsson, H, Pedersen, N, Scheftner, WA, Schulz, TG, Shyn, SI, Sigurdsson, E, Slager, SL, Smit, JH, Stefansson, H, Steffens, M, Thorgeirsson, T, Tozzi, F, Treutlein, J, Uhr, M, van den Oord, EJCG (Edwin), Van Grootheest, G, Volzke, H, Weilburg, JB, Willemsen, G, Zitman, FG, Neale, BM, Daly, M, Levinson, DF, Sullivan, PF, Psychiatry, Epidemiology, and Child and Adolescent Psychiatry / Psychology
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- 2013
10. Common genetic variation and antidepressant efficacy in major depressive disorder : a meta-analysis of three genome-wide pharmacogenetic studies
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Uher, R, Tansey, KE, Rietschel, M, Henigsberg, N, Maier, W, Mors, Ole, Hauser, J, Placentino, A, Souery, D, Farmer, A, Aitchinson, KJ, Craig, I, McGuffin, P, Lewis, CM, Ising, M, Lucae, S, Binder, EB, Kloiber, S, Holsboer, F, Müller-Myhsok, B, Ripke, S, Hamilton, SP, Laje, G, McMahon, FJ, Fava, M, Rush, AJ, and Perlis, RH
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Oncology ,Adult ,Male ,medicine.medical_specialty ,MEDLINE ,Genome-wide association study ,Citalopram ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Genetic variation ,medicine ,Humans ,Psychiatry ,antidepressive agents ,genome ,genetics ,major depressive disorder ,pharmacogenetics ,mars ,Psychiatric Status Rating Scales ,Depressive Disorder, Major ,Remission Induction ,Genetic Variation ,Middle Aged ,medicine.disease ,3. Good health ,030227 psychiatry ,Europe ,Psychiatry and Mental health ,Treatment Outcome ,Pharmacogenetics ,Meta-analysis ,Major depressive disorder ,Antidepressant ,Antidepressive Agents, Second-Generation ,Chromosomes, Human, Pair 5 ,Female ,Psychology ,030217 neurology & neurosurgery ,Imputation (genetics) ,Genome-Wide Association Study - Abstract
Objective Indirect evidence suggests that common genetic variation contributes to individual differences in antidepressant efficacy among individuals with major depressive disorder, but previous studies may have been underpowered to detect these effects. Method A meta-analysis was performed on data from three genome-wide pharmacogenetic studies (the Genome-Based Therapeutic Drugs for Depression [GENDEP] project, the Munich Antidepressant Response Signature [MARS] project, and the Sequenced Treatment Alternatives to Relieve Depression [STAR*D] study), which included 2, 256 individuals of Northern European descent with major depressive disorder, and antidepressant treatment outcomes were prospectively collected. After imputation, 1.2 million single-nucleotide polymorphisms were tested, capturing common variation for association with symptomatic improvement and remission after up to 12 weeks of antidepressant treatment. Results No individual association met a genome-wide threshold for statistical significance in the primary analyses. A polygenic score derived from a meta-analysis of GENDEP and MARS participants accounted for up to approximately 1.2% of the variance in outcomes in STAR*D, suggesting a weakly concordant signal distributed over many polymorphisms. An analysis restricted to 1, 354 individuals treated with citalopram (STAR*D) or escitalopram (GENDEP) identified an intergenic region on chromosome 5 associated with early improvement after 2 weeks of treatment. Conclusions Despite increased statistical power accorded by meta-analysis, the authors identified no reliable predictors of antidepressant treatment outcome, although they did identify modest, direct evidence that common genetic variation contributes to individual differences in antidepressant response.
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- 2013
11. Genetische Varianten in Genen des Stresshormon-Signalweges und depressive Symptome während und nach der Schwangerschaft
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Schneider, MO, primary, Engel, A, additional, Fasching, PA, additional, Häberle, L, additional, Binder, EB, additional, Voigt, F, additional, Grimm, J, additional, Faschingbauer, F, additional, Eichler, A, additional, Dammer, U, additional, Rebhan, D, additional, Amann, M, additional, Raabe, E, additional, Goecke, TW, additional, Quast, C, additional, Beckmann, MW, additional, Kornhuber, J, additional, Seifert, A, additional, and Burghaus, S, additional
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- 2014
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12. GR-mediated FKBP5 RNA induction differentially influenced by weight in major depression and healthy controls
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Menke, A, primary, Kloiber, S, additional, Best, J, additional, Rex-Haffner, M, additional, Uhr, M, additional, Holsboer, F, additional, and Binder, EB, additional
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- 2013
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13. Dexamethasone stimulated gene expression in peripheral blood indicates glucocorticoid-receptor hypersensitivity in job-related exhaustion
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Menke, A, primary, Arloth, J, additional, Gerber, M, additional, Rex-Haffner, M, additional, Uhr, M, additional, Holsboer, F, additional, Binder, EB, additional, Holsboer-Trachsler, E, additional, and Beck, J, additional
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- 2013
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14. Association of PACAP and PACAPR1 gene variants with unipolar depression and panic disorder
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Erhardt, A, primary, Lucae, S, additional, Ising, M, additional, Holsboer, F, additional, and Binder, EB, additional
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- 2013
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15. Expression and regulation of the Fkbp5 gene in the adult mouse brain
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Scharf, SH, primary, Liebl, C, additional, Binder, EB, additional, Schmidt, MV, additional, and Müller, MB, additional
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- 2011
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16. Gender related differential response to dexamethasone in endocrine and immune measures in depressed patients and healthy controls
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Menke, A, primary, Eichelkraut, A, additional, Preis, L, additional, Klengel, T, additional, Rex-Haffner, M, additional, Uhr, M, additional, Holsboer, F, additional, and Binder, EB, additional
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- 2011
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17. Epigenetic modifications determining variability in antidepressant response: beyond genetic association studies
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Labermaier, C, primary, Liebl, C, additional, Scharf, SH, additional, Sillaber, I, additional, Binder, EB, additional, and Müller, MB, additional
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- 2011
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18. Genome-wide association study of antidepressant induced treatment emergent suicidal ideation (TESI)
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Menke, A, primary, Roeske, D, additional, Domschke, K, additional, Holsboer, F, additional, and Binder, EB, additional
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- 2009
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19. Clinical characteristics and treatment outcome in a representative sample of depressed inpatients – Findings from the Munich Antidepressant Response Signature project
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Hennings, JM, primary, Owashi, T, additional, Binder, EB, additional, Horstmann, S, additional, Menke, A, additional, Kloiber, S, additional, Messer, T, additional, Pollmächer, T, additional, Nickel, T, additional, Sonntag, A, additional, Uhr, M, additional, Ising, M, additional, Holsboer, F, additional, and Lucae, S, additional
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- 2009
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20. A genome-wide association study points to multiple loci predicting antidepressant treatment outcome in depression
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Ising, M, primary, Lucae, S, additional, Binder, EB, additional, Bettecken, T, additional, Uhr, M, additional, Ripke, S, additional, Kohli, MA, additional, Hennings, JM, additional, Horstmann, S, additional, Kloiber, S, additional, Menke, A, additional, Bondy, B, additional, Rupprecht, R, additional, Domschke, K, additional, Baune, BT, additional, Arolt, V, additional, Rush, AJ, additional, Holsboer, F, additional, and Müller-Myhsok, B, additional
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- 2009
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21. The neuronal transporter gene SLC6A15 confers risk to major depression
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Lucae, S, primary, Kohli, MA, additional, Schmidt, MV, additional, Sämann, PG, additional, Demirkan, A, additional, Hek, K, additional, Salyakina, D, additional, Ripke, S, additional, Roeske, D, additional, van Duijn, CM, additional, Uhr, M, additional, Bettecken, T, additional, Holsboer, F, additional, Müller-Myhsok, B, additional, and Binder, EB, additional
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- 2009
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22. Polymorphisms in tryptophan hydroxylase 2 leading to decreased serotonergic activity contribute to elevated risk for metabolic syndrome in depression
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Kloiber, S, primary, Kohli, MA, additional, Brückl, T, additional, Ripke, S, additional, Ising, M, additional, Uhr, M, additional, Menke, A, additional, Unschuld, PG, additional, Horstmann, S, additional, Salyakina, D, additional, Müller-Myhsok, B, additional, Binder, EB, additional, Holsboer, F, additional, and Lucae, S, additional
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- 2009
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23. Polymorphisms in the gene encoding the neuropeptide galanin are associated with HPA-axis dysregulation and symptome severity in major-depressive- and anxiety-disorder patients
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Unschuld, PG, primary, Ising, M, additional, Roeske, D, additional, Erhardt, A, additional, Specht, M, additional, Ripke, S, additional, Uhr, M, additional, Kloiber, S, additional, Müller-Myhsok, B, additional, Holsboer, F, additional, and Binder, EB, additional
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- 2009
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24. Polymorphisms within the 4-aminobutyrate aminotransferase gene are associated with long-latency somatosensory potentials in families vulnerable for affective disorders
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Wegerer, M, primary, Adena, S, additional, Binder, EB, additional, Huber, J, additional, Sailer, U, additional, Bettecken, T, additional, Müller-Myhsok, B, additional, Modell, S, additional, Holsboer, F, additional, and Ising, M, additional
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- 2009
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25. The interplay of variations in the FKBP5 gene and adverse life events in predicting the first onset of depression during a ten-year follow-up
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Zimmermann, P, primary, Brückl, T, additional, Pfister, H, additional, Lieb, R, additional, Wittchen, HU, additional, Holsboer, F, additional, Ising, M, additional, Binder, EB, additional, Uhr, M, additional, and Nocon, A, additional
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- 2009
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26. Association of the adrenergic receptor alpha1B with antidepressant treatment in the MARS study
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Horstmann, S, primary, Menke, A, additional, Hennings, JM, additional, Lucae, S, additional, Straub, V, additional, Spieler, D, additional, Wollweber, B, additional, Holsboer, F, additional, and Binder, EB, additional
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- 2009
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27. SNPs in the NTRK2 gene are associated with depressive disorder
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Kohli, MA, primary, Salyakina, D, additional, Binder, EB, additional, Lucae, S, additional, Ising, M, additional, Ripke, S, additional, Horstmann, S, additional, Kloiber, S, additional, Pütz, B, additional, Lieb, R, additional, Uhr, M, additional, Müller, MB, additional, Holsboer, F, additional, and Müller-Myhsok, B, additional
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- 2007
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28. Polymorphisms in the galanin gene are associated with symptom-severity in female patients suffering from panic disorder
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Unschuld, PG, primary, Ising, M, additional, Erhardt, A, additional, Lucae, S, additional, Kohli, M, additional, Kloiber, S, additional, Salyakina, D, additional, Thoeringer, CK, additional, Lieb, R, additional, Uhr, M, additional, Binder, EB, additional, Müller-Myhsok, B, additional, Holsboer, F, additional, and Keck, ME, additional
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- 2007
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29. SNPs in the NTRK2 gene are associated with age-at-onset of depressive disorder and attempted suicide
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Kohli, MA, primary, Salyakina, D, additional, Binder, EB, additional, Lucae, S, additional, Ising, M, additional, Ripke, S, additional, Horstmann, S, additional, Kloiber, S, additional, Pütz, B, additional, Fey, K, additional, Uhr, M, additional, Müller, MB, additional, Holsboer, F, additional, and Müller-Myhsok, B, additional
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- 2007
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30. The Role of FKBP51 in the regulation of the glucocorticoid receptor
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Wochnik, GM, primary, Binder, EB, additional, Salyakina, D, additional, Kohli, MA, additional, Kloiber, S, additional, Holsboer, F, additional, and Rein, T, additional
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- 2005
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31. Within- and Inter- gene interactions in FKBP5 and GR genes and its association with early response
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Salyakina, D, primary, Binder, EB, additional, Ising, M, additional, Uhr, M, additional, Lucae, S, additional, and Müller-Myhsok, B, additional
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- 2005
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32. Change in HPA system function predicts treatment response in depression
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Ising, M, primary, Binder, EB, additional, Dose, T, additional, Horstmann, S, additional, Kern, N, additional, Kloiber, S, additional, Künzel, HE, additional, Lucae, S, additional, Pfennig, A, additional, Unschuld, PG, additional, Modell, S, additional, and Holsboer, F, additional
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- 2005
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33. GABA transporter1 (GAT1) inhibition mediates distinct emotional and cognitive processes and represents a possible treatment strategy compensating genetic polymorphisms in panic disorder
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Thoeringer, CK, primary, Binder, EB, additional, Lucae, S, additional, Erhardt, A, additional, Unschuld, PG, additional, Harbich, D, additional, Roedel, A, additional, Uhr, M, additional, Ohl, F, additional, Lieb, R, additional, Müller-Myhsok, B, additional, Müller, MB, additional, and Holsboer, F, additional
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- 2005
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34. Polymorphisms in the serotonin receptor gene HTR2A modulate disease severity and susceptibility for anxiety disorders but not depression and are associated with specific personality traits
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Unschuld, PG, primary, Ising, M, additional, Erhardt, A, additional, Lucae, S, additional, Welt, T, additional, Kloiber, S, additional, Kern, N, additional, Salyakina, D, additional, Binder, EB, additional, Brückl, T, additional, Uhr, M, additional, Müller-Myhsok, B, additional, Holsboer, F, additional, and Keck, ME, additional
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- 2005
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35. Polymorphisms in the angiotensin converting enzyme (ACE) gene are associated with unipolar depression, ACE activity and hypercortisolism
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Baghai, TC, primary, Binder, EB, additional, Holsboer, F, additional, Rupprecht, R, additional, and Bondy, B, additional
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- 2005
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36. Successful antidepressant therapy restores the disturbed interplay between TNF-alpha system and HPA axis
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Himmerich, H, primary, Binder, EB, additional, Künzel, HE, additional, Schuld, A, additional, Lucae, S, additional, Uhr, M, additional, Pollmächer, T, additional, Holsboer, F, additional, and Ising, M, additional
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- 2005
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37. Genetic implications of the endocannabinoid system in anxiety disorders versus depressive disorders: is there any evidence for the continuum hypothesis?
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Erhardt, A, primary, Seaman, SR, additional, Lucae, S, additional, Kern, N, additional, Unschuld, PG, additional, Welt, T, additional, Ising, M, additional, Salyakina, D, additional, Pütz, B, additional, Lieb, R, additional, Binder, EB, additional, Müller-Myhsok, B, additional, Holsboer, F, additional, and Keck, ME, additional
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- 2005
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38. Addressing in vivo functions of urocortin III, a novel member of the CRH family of neuropeptides
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Deussing, J, primary, Breu, J, additional, Binder, EB, additional, Ohl, F, additional, Holsboer, F, additional, and Wurst, W, additional
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- 2004
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39. Munich Vulnerability Study – Familial vulnerability for affective disorders: Search for endophenotypes
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Ising, M, primary, Adena, SM, additional, Pfennig, A, additional, Binder, EB, additional, Kern, N, additional, Huber, J, additional, Modell, S, additional, and Holsboer, F, additional
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- 2004
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40. Prediction of response to antidepressant monotherapy
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Brunner, J, primary, Ising, M, additional, Binder, EB, additional, Künzel, HE, additional, Nickel, T, additional, Pfennig, A, additional, Kern, N, additional, Fuchs, B, additional, Majer, M, additional, Holsboer, F, additional, and Modell, S, additional
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- 2004
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41. HPA axis dysregulation and suicidal behavior in depression – Differentiation of a genetically distinct subgroup?
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Pfennig, A, primary, Kuenzel, HE, additional, Kern, N, additional, Fuchs, B, additional, Brunner, J, additional, Ising, M, additional, Modell, S, additional, Müller-Myhsok, B, additional, Binder, EB, additional, and Holsboer, F, additional
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- 2004
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42. ENU-mouse mutagenesis screen: In search of animal models of psychiatric disorders
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Ohl, F, primary, Binder, EB, additional, Rödel, A, additional, Weißenbacher, P, additional, and Keck, ME, additional
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- 2004
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43. Is there a genetic continuum between anxiety and depression?
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Kern, N, primary, Binder, EB, additional, Künzel, HE, additional, Pfennig, A, additional, Fuchs, B, additional, Ising, M, additional, Erhardt, A, additional, Lucae, S, additional, Müller-Myhsok, B, additional, Modell, S, additional, Keck, ME, additional, and Holsboer, F, additional
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- 2004
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44. Gene expression studies in major depression.
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Mehta D, Menke A, Binder EB, Mehta, Divya, Menke, Andreas, and Binder, Elisabeth B
- Abstract
The dramatic technical advances in methods to measure gene expression on a genome-wide level thus far have not been paralleled by breakthrough discoveries in psychiatric disorders-including major depression (MD)-using these hypothesis-free approaches. In this review, we first describe the methodologic advances made in gene expression analysis, from quantitative polymerase chain reaction to next-generation sequencing. We then discuss issues in gene expression experiments specific to MD, ranging from the choice of target tissues to the characterization of the case group. We provide a synopsis of the gene expression studies published thus far for MD, with a focus on studies using mRNA microarray methods. Finally, we discuss possible new strategies for the gene expression studies in MD that circumvent some of the addressed issues. [ABSTRACT FROM AUTHOR]
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- 2010
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45. Impaired divided attention predicts delayed response and risk to relapse in subjects with depressive disorders.
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Majer M, Ising M, Künzel H, Binder EB, Holsboer F, Modell S, and Zihl J
- Abstract
Background. This study addresses the complex relationship between cognitive function and the course of depression.Method. A sample of patients (n=73) in a depressive episode (major depression or bipolar disorder) was tested with a comprehensive battery of attention and executive tasks at both admission and discharge. In addition, response to pharmacological treatment and remission was assessed with standardized rating scales. Nineteen patients, recovered from depression, were re-investigated 6 months after discharge to determine whether specific cognitive parameters were related to subsequent relapse.Results. On admission, patients were impaired in almost all cognitive tasks. At discharge, we found a significant reduction in psychopathology, but only marginal cognitive improvements. Non-responders after 4 weeks of antidepressive medication and subjects who did not achieve remission prior to discharge were specifically impaired in divided attention on admission (p<0.05). In addition, a trend was found for the association between impaired divided attention at discharge and an elevated risk to relapse (p<0.10).Conclusions. We observed generalized cognitive impairment in most cognitive domains in acute depression. Cognitive impairments were still within abnormal ranges at discharge but less distinct. Divided attention performance predicted response to treatment, remission of symptoms, and risk to relapse. Impaired divided attention capacity can be explained either by reduced attentional resources or impaired activation and/or top-down control of attentional resources by the central executive. [ABSTRACT FROM AUTHOR]
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- 2004
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46. Genetic markers within glutamate receptors associated with antidepressant treatment-emergent suicidal ideation.
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Menke A, Lucae S, Kloiber S, Horstmann S, Bettecken T, Uhr M, Ripke S, Ising M, Müller-Myhsok B, Holsboer F, and Binder EB
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- 2008
- Full Text
- View/download PDF
47. Variations in tryptophan hydroxylase 2 linked to decreased serotonergic activity are associated with elevated risk for metabolic syndrome in depression.
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Kloiber, S, Kohli, MA, Brueckl, T, Ripke, S, Ising, M, Uhr, M, Menke, A, Unschuld, PG, Horstmann, S, Salyakina, D, Muller-Myhsok, B, Binder, EB, Holsboer, F, and Lucae, S
- Subjects
TRYPTOPHAN - Abstract
A correction to the article "Variations in tryptophan hydroxylase 2 linked to decreased serotonergic activity are associated with elevated risk for metabolic syndrome in depression," that was published in the November 1, 2010 issue is presented.
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- 2010
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48. Cell-Type-Specific Impact of Glucocorticoid Receptor Activation on the Developing Brain: A Cerebral Organoid Study
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Stefanie Wehner, Nathalie Gerstner, Christina Kyrousi, Silvia Martinelli, Silvia Cappello, Rossella Di Giaimo, Cristiana Cruceanu, Anthi C. Krontira, David S. Fischer, Maik Koedel, Janine Arloth, Vincenza Sportelli, Monika Rex-Haffner, Michael S. Breen, Darina Czamara, Leander Dony, Elisabeth B. Binder, Fabian J. Theis, Simone Roeh, Susann Sauer, Lea Kaspar, Cruceanu, C, Dony, L, Krontira, Ac, Fischer, D, Roeh, S, Di Giaimo, R, Kyrousi, C, Kaspar, L, Arloth, J, Czamara, D, Gerstner, N, Martinelli, S, Wehner, S, Breen, M, Koedel, M, Sauer, S, Sportelli, V, Rex-Haffner, M, Cappello, S, Theis, Fj, and Binder, Eb.
- Subjects
Organoid ,Male ,Biology ,Brain ,Child/adolescent Psychiatry ,Development ,Glucocorticoid Receptor ,Neurodevelopmental Disorders ,Pre/peri/postnatal Issues ,Stress ,Translational Research ,Stre ,Cell type specific ,Induced Pluripotent Stem Cells ,Child/Adolescent Psychiatry ,Translational research ,Health outcomes ,Bioinformatics ,Induced Pluripotent Stem Cell ,Dexamethasone ,Glucocorticoid ,Glucocorticoid receptor ,Receptors, Glucocorticoid ,Pregnancy ,Neurodevelopmental Disorder ,Medicine ,Humans ,Glucocorticoids ,business.industry ,Pre/Peri/Postnatal Issue ,Organoids ,Psychiatry and Mental health ,In utero ,Female ,business ,Child adolescent psychiatry ,hormones, hormone substitutes, and hormone antagonists ,Human ,Cerebral organoid - Abstract
OBJECTIVE: A fine-tuned balance of glucocorticoid receptor (GR) activation is essential for organ formation, with disturbances influencing many health outcomes. In utero, glucocorticoids have been linked to brain-related negative outcomes, with unclear underlying mechanisms, especially regarding cell-type-specific effects. An in vitro model of fetal human brain development, induced human pluripotent stem cell (hiPSC)-derived cerebral organoids, was used to test whether cerebral organoids are suitable for studying the impact of prenatal glucocorticoid exposure on the developing brain. METHODS: The GR was activated with the synthetic glucocorticoid dexamethasone, and the effects were mapped using single-cell transcriptomics across development. RESULTS: The GR was expressed in all cell types, with increasing expression levels through development. Not only did its activation elicit translocation to the nucleus and the expected effects on known GR-regulated pathways, but also neurons and progenitor cells showed targeted regulation of differentiation- and maturation-related transcripts. Uniquely in neurons, differentially expressed transcripts were significantly enriched for genes associated with behavior-related phenotypes and disorders. This human neuronal glucocorticoid response profile was validated across organoids from three independent hiPSC lines reprogrammed from different source tissues from both male and female donors. CONCLUSIONS: These findings suggest that excessive glucocorticoid exposure could interfere with neuronal maturation in utero, leading to increased disease susceptibility through neurodevelopmental processes at the interface of genetic susceptibility and environmental exposure. Cerebral organoids are a valuable translational resource for exploring the effects of glucocorticoids on early human brain development.
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- 2021
49. The 5-HTTLPR polymorphism modulates the influence on environmental stressors on peripartum depression symptoms.
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Mehta D, Quast C, Fasching PA, Seifert A, Voigt F, Beckmann MW, Faschingbauer F, Burger P, Ekici AB, Kornhuber J, Binder EB, and Goecke TW
- Published
- 2012
50. Polymorphisms in the galanin gene are associated with symptom-severity in female patients suffering from panic disorder.
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Unschuld PG, Ising M, Erhardt A, Lucae S, Kohli M, Kloiber S, Salyakina D, Thoeringer CK, Kern N, Lieb R, Uhr M, Binder EB, Müller-Myhsok B, Holsboer F, and Keck ME
- Abstract
Abstract: Background: Galanin (GAL) is a neuropeptide, which is expressed primarily in limbic nuclei in the brain and mediates miscellaneous physiological processes and behaviors. In animal studies, both the application of GAL and antagonism of its receptors have been shown to affect anxiety-like and depression-related behavior. In humans, intravenous administration of the neuropeptide galanin has been reported to have fast antidepressant efficacy. Furthermore, GAL is involved in hypothalamic–hypophysiotropic signalling and cosecreted with luteinizing hormone-releasing hormone (LHRH), possibly acting as a mediator of estrogen action. Methods: In this study six single nucleotide polymorphisms (SNPs) within the gene coding for GAL were analyzed for possible associations with diagnosis and severity of symptoms in 121 male and female patients suffering from panic disorder (PD). Results: Our results suggest an association between genetic variations in the GAL-gene and severity of PD-symptoms in female patients. The most pronounced effects could be observed for two haplotypes containing the closely linked, non-protein-coding SNPs rs948854 and rs4432027. Both polymorphisms are located within CpG-dinucleotides in the promoter region of GAL and thus might be involved in epigenetic regulation of the GAL-gene. Limitations: A relatively small patient sample was analyzed in this study, the herein presented results need to be validated in independent studies. Conclusions: The results of this study underline the potential of further genetic research concerning GAL and a possible role of this neuropeptide in the pathogenesis of female PD. In this regard, GAL and its receptors appear to be a promising target for pharmacological therapy of anxiety and affective disorders. [Copyright &y& Elsevier]
- Published
- 2008
- Full Text
- View/download PDF
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