317 results on '"Lie, RT"'
Search Results
2. Anemia in pregnancy in rural Tanzania: associations with micronutrients status and infections
- Author
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Hinderaker, SG, Olsen, BE, Lie, RT, Bergsjø, PB, Gasheka, P, Bondevik, GT, Ulvik, R, and Kvåle, G
- Published
- 2002
- Full Text
- View/download PDF
3. Homocysteine and methylmalonic acid levels in pregnant Nepali women. Should cobalamin supplementation be considered?
- Author
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Bondevik, GT, Schneede, J, Refsum, H, Lie, RT, Ulstein, M, and Kvåle, G
- Published
- 2001
- Full Text
- View/download PDF
4. Anaemia in pregnancy: possible causes and risk factors in Nepali women
- Author
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Bondevik, GT, Eskeland, B, Ulvik, RJ, Ulstein, M, Lie, RT, Schneede, J, and Kvåle, G
- Published
- 2000
- Full Text
- View/download PDF
5. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight.
- Author
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Küpers, LK, Monnereau, C, Sharp, GC, Yousefi, P, Salas, LA, Ghantous, A, Page, CM, Reese, SE, Wilcox, AJ, Czamara, D, Starling, AP, Novoloaca, A, Lent, S, Roy, R, Hoyo, C, Breton, CV, Allard, C, Just, AC, Bakulski, KM, Holloway, JW, Everson, TM, Xu, C-J, Huang, R-C, van der Plaat, DA, Wielscher, M, Merid, SK, Ullemar, V, Rezwan, FI, Lahti, J, van Dongen, J, Langie, SAS, Richardson, TG, Magnus, MC, Nohr, EA, Xu, Z, Duijts, L, Zhao, S, Zhang, W, Plusquin, M, DeMeo, DL, Solomon, O, Heimovaara, JH, Jima, DD, Gao, L, Bustamante, M, Perron, P, Wright, RO, Hertz-Picciotto, I, Zhang, H, Karagas, MR, Gehring, U, Marsit, CJ, Beilin, LJ, Vonk, JM, Jarvelin, M-R, Bergström, A, Örtqvist, AK, Ewart, S, Villa, PM, Moore, SE, Willemsen, G, Standaert, ARL, Håberg, SE, Sørensen, TIA, Taylor, JA, Räikkönen, K, Yang, IV, Kechris, K, Nawrot, TS, Silver, MJ, Gong, YY, Richiardi, L, Kogevinas, M, Litonjua, AA, Eskenazi, B, Huen, K, Mbarek, H, Maguire, RL, Dwyer, T, Vrijheid, M, Bouchard, L, Baccarelli, AA, Croen, LA, Karmaus, W, Anderson, D, de Vries, M, Sebert, S, Kere, J, Karlsson, R, Arshad, SH, Hämäläinen, E, Routledge, MN, Boomsma, DI, Feinberg, AP, Newschaffer, CJ, Govarts, E, Moisse, M, Fallin, MD, Melén, E, Prentice, AM, Kajantie, E, Almqvist, C, Oken, E, Dabelea, D, Boezen, HM, Melton, PE, Wright, RJ, Koppelman, GH, Trevisi, L, Hivert, M-F, Sunyer, J, Munthe-Kaas, MC, Murphy, SK, Corpeleijn, E, Wiemels, J, Holland, N, Herceg, Z, Binder, EB, Davey Smith, G, Jaddoe, VWV, Lie, RT, Nystad, W, London, SJ, Lawlor, DA, Relton, CL, Snieder, H, Felix, JF, Küpers, LK, Monnereau, C, Sharp, GC, Yousefi, P, Salas, LA, Ghantous, A, Page, CM, Reese, SE, Wilcox, AJ, Czamara, D, Starling, AP, Novoloaca, A, Lent, S, Roy, R, Hoyo, C, Breton, CV, Allard, C, Just, AC, Bakulski, KM, Holloway, JW, Everson, TM, Xu, C-J, Huang, R-C, van der Plaat, DA, Wielscher, M, Merid, SK, Ullemar, V, Rezwan, FI, Lahti, J, van Dongen, J, Langie, SAS, Richardson, TG, Magnus, MC, Nohr, EA, Xu, Z, Duijts, L, Zhao, S, Zhang, W, Plusquin, M, DeMeo, DL, Solomon, O, Heimovaara, JH, Jima, DD, Gao, L, Bustamante, M, Perron, P, Wright, RO, Hertz-Picciotto, I, Zhang, H, Karagas, MR, Gehring, U, Marsit, CJ, Beilin, LJ, Vonk, JM, Jarvelin, M-R, Bergström, A, Örtqvist, AK, Ewart, S, Villa, PM, Moore, SE, Willemsen, G, Standaert, ARL, Håberg, SE, Sørensen, TIA, Taylor, JA, Räikkönen, K, Yang, IV, Kechris, K, Nawrot, TS, Silver, MJ, Gong, YY, Richiardi, L, Kogevinas, M, Litonjua, AA, Eskenazi, B, Huen, K, Mbarek, H, Maguire, RL, Dwyer, T, Vrijheid, M, Bouchard, L, Baccarelli, AA, Croen, LA, Karmaus, W, Anderson, D, de Vries, M, Sebert, S, Kere, J, Karlsson, R, Arshad, SH, Hämäläinen, E, Routledge, MN, Boomsma, DI, Feinberg, AP, Newschaffer, CJ, Govarts, E, Moisse, M, Fallin, MD, Melén, E, Prentice, AM, Kajantie, E, Almqvist, C, Oken, E, Dabelea, D, Boezen, HM, Melton, PE, Wright, RJ, Koppelman, GH, Trevisi, L, Hivert, M-F, Sunyer, J, Munthe-Kaas, MC, Murphy, SK, Corpeleijn, E, Wiemels, J, Holland, N, Herceg, Z, Binder, EB, Davey Smith, G, Jaddoe, VWV, Lie, RT, Nystad, W, London, SJ, Lawlor, DA, Relton, CL, Snieder, H, and Felix, JF
- Abstract
Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from -183 to 178 grams per 10% increase in methylation (PBonferroni < 1.06 x 10-7). In additional analyses in 7,278 participants, <1.3% of birthweight-associated differential methylation is also observed in childhood and adolescence, but not adulthood. Birthweight-related CpGs overlap with some Bonferroni-significant CpGs that were previously reported to be related to maternal smoking (55/914, p = 6.12 x 10-74) and BMI in pregnancy (3/914, p = 1.13x10-3), but not with those related to folate levels in pregnancy. Whether the associations that we observe are causal or explained by confounding or fetal growth influencing DNA methylation (i.e. reverse causality) requires further research.
- Published
- 2019
6. 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
7. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
- Author
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Felix, Janine, Joubert, BR, Baccarelli, AA, Sharp, GC, Almqvist, C, Annesi-Maesano, I, Arshad, H, Baiz, N, Bakermans-Kranenburg, MJ, Bakulski, KM, Binder, EB, Bouchard, L, Breton, CV, Brunekreef, B, Brunst, KJ, Burchard, EG, Bustamante, M, Chatzi, L, Munthe-Kaas, MC, Corpeleijn, E, Czamara, D, Dabelea, D, Smith, GD, De Boever, P, Duijts, Liesbeth, 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, Haberg, SE, Herceg, Z, Hivert, MF, Holland, N, Holloway, JW, Hoyo, C, Hu, DL, Huang, RC, Huen, K, Jarvelin, MR, Jima, DD, Just, AC, Karagas, MR, Karlsson, R, Karmaus, W, Kechris, KJ, Kere, J, Kogevinas, M, Koletzko, B, Koppelman, GH, Kupers, LK, Ladd-Acosta, C, Lahti, J, Lambrechts, N, Langie, SAS, Lie, RT, Liu, AH, Magnus, MC, Magnus, P, Maguire, RL, Marsit, CJ, McArdle, W, Melen, E, Melton, P, Murphy, SK, Nawrot, TS, Nistico, 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, Sorensen, TIA, Starling, AP, Sunyer, J, Ataylor, J, Tiemeier, Henning, Ullemar, V, Vafeiadi, M, van IJzendoorn, Marinus, Vonk, JM, Vriens, A, Vrijheid, M, Wang, P, Wiemels, JL, Wilcox, AJ, Wright, RJ, Xu, CJ, Xu, ZL, Yang, IV, Yousefi, P, Zhang, HM, Zhang, WM, Zhao, SS, Agha, G, Relton, CL, Jaddoe, Vincent, London, SJ, Felix, Janine, Joubert, BR, Baccarelli, AA, Sharp, GC, Almqvist, C, Annesi-Maesano, I, Arshad, H, Baiz, N, Bakermans-Kranenburg, MJ, Bakulski, KM, Binder, EB, Bouchard, L, Breton, CV, Brunekreef, B, Brunst, KJ, Burchard, EG, Bustamante, M, Chatzi, L, Munthe-Kaas, MC, Corpeleijn, E, Czamara, D, Dabelea, D, Smith, GD, De Boever, P, Duijts, Liesbeth, 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, Haberg, SE, Herceg, Z, Hivert, MF, Holland, N, Holloway, JW, Hoyo, C, Hu, DL, Huang, RC, Huen, K, Jarvelin, MR, Jima, DD, Just, AC, Karagas, MR, Karlsson, R, Karmaus, W, Kechris, KJ, Kere, J, Kogevinas, M, Koletzko, B, Koppelman, GH, Kupers, LK, Ladd-Acosta, C, Lahti, J, Lambrechts, N, Langie, SAS, Lie, RT, Liu, AH, Magnus, MC, Magnus, P, Maguire, RL, Marsit, CJ, McArdle, W, Melen, E, Melton, P, Murphy, SK, Nawrot, TS, Nistico, 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, Sorensen, TIA, Starling, AP, Sunyer, J, Ataylor, J, Tiemeier, Henning, Ullemar, V, Vafeiadi, M, van IJzendoorn, Marinus, Vonk, JM, Vriens, A, Vrijheid, M, Wang, P, Wiemels, JL, Wilcox, AJ, Wright, RJ, Xu, CJ, Xu, ZL, Yang, IV, Yousefi, P, Zhang, HM, Zhang, WM, Zhao, SS, Agha, G, Relton, CL, Jaddoe, Vincent, and London, SJ
- Published
- 2018
8. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium
- Author
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Sharp, GC, Salas, LA, Monnereau, Claire, Allard, C, Yousefi, P, Everson, TM, Bohlin, J, Xu, ZL, Huang, RC, Reese, SE, Xu, CJ, Baiz, N, Hoyo, C, Agha, G, Roy, R, Holloway, JW, Ghantous, A, Merid, SK, Bakulski, KM, Kupers, LK, Zhang, HM, Richmond, Rebecca, Page, CM, Duijts, Liesbeth, Lie, RT, Melton, PE, Vonk, JM, Nohr, EA, Williams-DeVane, C, Huen, K, Rifas-Shiman, SL, Ruiz-Arenas, C, Gonseth, S, Rezwan, FI, Herceg, Z, Ekstrom, S, Croen, L, Falahi, F, Perron, P, Karagas, MR, Quraishi, BM, Suderman, M, Magnus, MC, Jaddoe, Vincent, Taylor, JA, Anderson, D, Zhao, SS, Smit, HA, Josey, MJ, Bradman, A, Baccarelli, AA, Bustamante, M, Haberg, SE, Pershagen, G, Hertz-Picciotto, I, Newschaffer, C, Corpeleijn, E, Bouchard, L, Lawlor, DA, Maguire, RL, Barcellos, LF, Smith, GD, Eskenazi, B, Karmaus, W, Marsit, CJ, Hivert, MF, Snieder, H, Fallin, MD, Melen, E, Munthe-Kaas, MC, Arshad, H, Wiemels, JL, Annesi-Maesano, I, Vrijheid, M, Oken, E, Holland, N, Murphy, SK, Sorensen, TIA, Koppelman, GH, Newnham, JP, Wilcox, AJ, Nystad, W, London, SJ, Felix, Janine, Relton, CL, Sharp, GC, Salas, LA, Monnereau, Claire, Allard, C, Yousefi, P, Everson, TM, Bohlin, J, Xu, ZL, Huang, RC, Reese, SE, Xu, CJ, Baiz, N, Hoyo, C, Agha, G, Roy, R, Holloway, JW, Ghantous, A, Merid, SK, Bakulski, KM, Kupers, LK, Zhang, HM, Richmond, Rebecca, Page, CM, Duijts, Liesbeth, Lie, RT, Melton, PE, Vonk, JM, Nohr, EA, Williams-DeVane, C, Huen, K, Rifas-Shiman, SL, Ruiz-Arenas, C, Gonseth, S, Rezwan, FI, Herceg, Z, Ekstrom, S, Croen, L, Falahi, F, Perron, P, Karagas, MR, Quraishi, BM, Suderman, M, Magnus, MC, Jaddoe, Vincent, Taylor, JA, Anderson, D, Zhao, SS, Smit, HA, Josey, MJ, Bradman, A, Baccarelli, AA, Bustamante, M, Haberg, SE, Pershagen, G, Hertz-Picciotto, I, Newschaffer, C, Corpeleijn, E, Bouchard, L, Lawlor, DA, Maguire, RL, Barcellos, LF, Smith, GD, Eskenazi, B, Karmaus, W, Marsit, CJ, Hivert, MF, Snieder, H, Fallin, MD, Melen, E, Munthe-Kaas, MC, Arshad, H, Wiemels, JL, Annesi-Maesano, I, Vrijheid, M, Oken, E, Holland, N, Murphy, SK, Sorensen, TIA, Koppelman, GH, Newnham, JP, Wilcox, AJ, Nystad, W, London, SJ, Felix, Janine, and Relton, CL
- Published
- 2017
9. A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4
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Beaty, TH, Murray, JC, Marazita, ML, Munger, RG, Ruczinski, I, Hetmanski, JB, Liang, KY, Wu, T, Murray, T, Fallin, MD, Redett, RA, Raymond, G, Schwender, H, Jin, SC, Cooper, ME, Dunnwald, M, Mansilla, MA, Leslie, E, Bullard, S, Lidral, AC, Moreno, LM, Menezes, R, Vieira, AR, Petrin, A, Wilcox, AJ, Lie, RT, Jabs, EW, Wu-Chou, YH, Chen, PK, Wang, H, Ye, X, Huang, S, Yeow, V, Chong, SS, Jee, SH, Shi, B, Christensen, K, Melbye, M, Doheny, KF, Pugh, EW, Ling, H, Castilla, EE, Czeizel, AE, Ma, L, Field, LL, Brody, L, Pangilinan, F, Mills, JL, Molloy, AM, Kirke, PN, Scott, JM, Arcos-Burgos, M, Scott, AF, Beaty, TH, Murray, JC, Marazita, ML, Munger, RG, Ruczinski, I, Hetmanski, JB, Liang, KY, Wu, T, Murray, T, Fallin, MD, Redett, RA, Raymond, G, Schwender, H, Jin, SC, Cooper, ME, Dunnwald, M, Mansilla, MA, Leslie, E, Bullard, S, Lidral, AC, Moreno, LM, Menezes, R, Vieira, AR, Petrin, A, Wilcox, AJ, Lie, RT, Jabs, EW, Wu-Chou, YH, Chen, PK, Wang, H, Ye, X, Huang, S, Yeow, V, Chong, SS, Jee, SH, Shi, B, Christensen, K, Melbye, M, Doheny, KF, Pugh, EW, Ling, H, Castilla, EE, Czeizel, AE, Ma, L, Field, LL, Brody, L, Pangilinan, F, Mills, JL, Molloy, AM, Kirke, PN, Scott, JM, Arcos-Burgos, M, and Scott, AF
- Abstract
Case-parent trios were used in a genome-wide association study of cleft lip with and without cleft palate. SNPs near two genes not previously associated with cleft lip with and without cleft palate (MAFB, most significant SNP rs13041247, with odds ratio (OR) per minor allele = 0.704, 95% CI 0.635-0.778, P = 1.44 × 10-11; and ABCA4, most significant SNP rs560426, with OR = 1.432, 95% CI 1.292-1.587, P = 5.01 × 10-12) and two previously identified regions (at chromosome 8q24 and IRF6) attained genome-wide significance. Stratifying trios into European and Asian ancestry groups revealed differences in statistical significance, although estimated effect sizes remained similar. Replication studies from several populations showed confirming evidence, with families of European ancestry giving stronger evidence for markers in 8q24, whereas Asian families showed stronger evidence for association with MAFB and ABCA4. Expression studies support a role for MAFB in palatal development. © 2010 Nature America, Inc. All rights reserved.
- Published
- 2010
10. Maternal HIV status and pregnancy outcomes in northeastern Tanzania: a registry-based study
- Author
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Habib, NA, primary, Daltveit, AK, additional, Bergsjø, P, additional, Shao, J, additional, Oneko, O, additional, and Lie, RT, additional
- Published
- 2008
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11. Leppe-kjeve-gane-spalte: en oversikt
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Semb, G, primary, Tindlund, RS, additional, Byholm, F, additional, and Lie, RT, additional
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- 2000
- Full Text
- View/download PDF
12. Developmental dysplasia of the hip. A population-based comparison of ultrasound and clinical findings
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Rosendahl, K, primary, Markestad, T, additional, and Lie, RT, additional
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- 1996
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13. THE DIAGNOSTIC POTENTIAL OF SOME ROUTINE LABORATORY TESTS
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Bjørnestad, E, primary, Lie, RT, additional, and Janssen, CW, additional
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- 1993
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14. The influence of the host on the course of gastric carcinoma
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Janssen, CW, primary, Lie, RT, additional, Bassøe, C-F, additional, Maartmann-Moe, H, additional, and Matre, R, additional
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- 1992
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15. Congenital dislocation of the hip: a prospective study comparing ultrasound and clinical examination
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Rosendahl, K, primary, Markestad, T, additional, and Lie, RT, additional
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- 1992
- Full Text
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16. FTO, type 2 diabetes, and weight gain throughout adult life: a meta-analysis of 41,504 subjects from the Scandinavian HUNT, MDC, and MPP studies.
- Author
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Hertel JK, Johansson S, Sonestedt E, Jonsson A, Lie RT, Platou CG, Nilsson PM, Rukh G, Midthjell K, Hveem K, Melander O, Groop L, Lyssenko V, Molven A, Orho-Melander M, Njølstad PR, Hertel, Jens K, Johansson, Stefan, Sonestedt, Emily, and Jonsson, Anna
- Abstract
Objective: FTO is the most important polygene identified for obesity. We aimed to investigate whether a variant in FTO affects type 2 diabetes risk entirely through its effect on BMI and how FTO influences BMI across adult life span.Research Design and Methods: Through regression models, we assessed the relationship between the FTO single nucleotide polymorphisms rs9939609, type 2 diabetes, and BMI across life span in subjects from the Norwegian population-based HUNT study using cross-sectional and longitudinal perspectives. For replication and meta-analysis, we used data from the Malmö Diet and Cancer (MDC) and Malmö Preventive Project (MPP) cohorts, comprising a total sample of 41,504 Scandinavians.Results: The meta-analysis revealed a highly significant association for rs9939609 with both type 2 diabetes (OR 1.13; P = 4.5 × 10(-8)) and the risk to develop incident type 2 diabetes (OR 1.16; P = 3.2 × 10(-8)). The associations remained also after correction for BMI and other anthropometric measures. Furthermore, we confirmed the strong effect on BMI (0.28 kg/m(2) per risk allele; P = 2.0 × 10(-26)), with no heterogeneity between different age-groups. We found no differences in change of BMI over time according to rs9939609 risk alleles, neither overall (ΔBMI = 0.0 [-0.05, 0.05]) nor in any individual age stratum, indicating no further weight gain attributable to FTO genotype in adults.Conclusions: We have identified that a variant in FTO alters type 2 diabetes risk partly independent of its observed effect on BMI. The additional weight gain as a result of the FTO risk variant seems to occur before adulthood, and the BMI difference remains stable thereafter. [ABSTRACT FROM AUTHOR]- Published
- 2011
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17. Effect of reducing indoor air pollution on women's respiratory symptoms and lung function: the RESPIRE Randomized Trial, Guatemala.
- Author
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Smith-Sivertsen T, Díaz E, Pope D, Lie RT, Díaz A, McCracken J, Bakke P, Arana B, Smith KR, and Bruce N
- Abstract
Exposure to household wood smoke from cooking is a risk factor for chronic obstructive lung disease among women in developing countries. The Randomized Exposure Study of Pollution Indoors and Respiratory Effects (RESPIRE) is a randomized intervention trial evaluating the respiratory health effects of reducing indoor air pollution from open cooking fires. A total of 504 rural Mayan women in highland Guatemala aged 15-50 years, all using traditional indoor open fires, were randomized to either receive a chimney woodstove (plancha) or continue using the open fire. Assessments of chronic respiratory symptoms and lung function and individual measurements of carbon monoxide exposure were performed at baseline and every 6 months up to 18 months. Use of a plancha significantly reduced carbon monoxide exposure by 61.6%. For all respiratory symptoms, reductions in risk were observed in the plancha group during follow-up; the reduction was statistically significant for wheeze (relative risk = 0.42, 95% confidence interval: 0.25, 0.70). The number of respiratory symptoms reported by the women at each follow-up point was also significantly reduced by the plancha (odds ratio = 0.7, 95% confidence interval: 0.50, 0.97). However, no significant effects on lung function were found after 12-18 months. Reducing indoor air pollution from household biomass burning may relieve symptoms consistent with chronic respiratory tract irritation. [ABSTRACT FROM AUTHOR]
- Published
- 2009
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18. The influence of age on the growth and spread of gastric carcinoma
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Janssen, CW, primary, Lie, RT, additional, Maartmann-Moe, H, additional, and Matre, R, additional
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- 1991
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19. Pregnancy outcome in Norway after Chernobyl
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Irgens, LM, primary, Lie, RT, additional, Ulstein, M, additional, Jensen, T Skeie, additional, Skjærven, R, additional, Sivertsen, F, additional, Reitan, JB, additional, Strand, F, additional, Strand, T, additional, and Skjeldestad, F Egil, additional
- Published
- 1991
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20. Long-term medical and social consequences of preterm birth.
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Moster D, Lie RT, and Markestad T
- Published
- 2008
21. Maternal dietary intake of vitamin A and risk of orofacial clefts: a population-based case-control study in Norway.
- Author
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Johansen AM, Lie RT, Wilcox AJ, Andersen LF, and Drevon CA
- Abstract
A population-based case-control study was carried out in Norway between 1996 and 2001. The aim was to evaluate the association between maternal intake of vitamin A from diet and supplements and risk of having a baby with an orofacial cleft. Data on maternal dietary intake were available from 535 cases (188 with cleft palate only and 347 with cleft lip with or without cleft palate) and 693 controls. The adjusted odds ratio for isolated cleft palate only was 0.47 (95% confidence interval: 0.24, 0.94) when comparing the fourth and first quartiles of maternal intake of total vitamin A. In contrast, there was no appreciable association of total vitamin A with isolated cleft lip with or without cleft palate. An intake of vitamin A above the 95th percentile was associated with a lower estimated risk of all isolated clefts compared with the 40th-60th percentile (adjusted odds ratio = 0.48, 95% confidence interval: 0.20, 1.14). Maternal intake of vitamin A is associated with reduced risk of cleft palate only, and there is no evidence of increased risk of clefts among women in our study with the highest 5% of vitamin A intake. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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22. Biometrical modelling in genetics: are complex traits too complex?
- Author
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Gjessing HK and Lie RT
- Abstract
The field of traditional biometrical genetics uses mixed-effects models to quantify the influence of genetic and environmental factors on a biological trait, based essentially on estimating within-family trait correlations. Such analyses provide a useful preview of what may be discovered with the emerging full-scale genotyping strategies. However, biometrical analyses require unrealistically large sample sizes to obtain a reasonable precision, particularly for dichotomous traits. In addition, it may be very difficult to separate genetic and environmental effects because environmental correlations are poorly understood. We illustrate these and other difficulties using population-based cousins and nuclear family data for birth weight, collected from the Medical Birth Registry of Norway. [ABSTRACT FROM AUTHOR]
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- 2008
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23. Maternal and paternal influences on length of pregnancy.
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Lie RT, Wilcox AJ, and Skjærven R
- Published
- 2006
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24. Variations in the risk of disability pension in Norway 1970-99: a gender-specific age-period-cohort analysis.
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Gjesdal S, Lie RT, and Maeland JG
- Abstract
AIMS: A study was undertaken to investigate whether cohort or period effects could explain the varying and generally increasing incidence of disability pension in Norway between 1970 and 1999. METHODS: The study used data from a complete national register of new disability cases in Norway, including all cases of disability pension in the 16-60 age group categorized according to age and gender for each year from 1970 to 1999. The population at risk was defined for each year from census data and number of individuals already receiving disability pension. Data were organized in five-year age groups, five-year time periods and corresponding overlapping nine-year birth cohorts. Age- and gender-specific rates were displayed graphically for periods and cohorts. Separate Poisson regression models were fitted for age periods and age cohorts. Finally a combined age, period, and cohort model was applied. RESULTS: The overall incidence was 7.4/1,000 non-disabled persons per year for women and 6.0/1,000 for men. For women 52.1% of the cases were in the 51-60 age group, whereas the corresponding figure for men was 57.6%. Statistical analysis showed an increasing trend for both genders, more pronounced for women than men. All time periods deviated significantly from the trend, either upwards or downwards. Age-cohort models showed less variation, but recent cohorts had higher than expected rates, especially for men. CONCLUSIONS: Further studies should investigate why Norwegian women were more affected by the period effects than men. An increasing incidence of disability pension among recent cohorts is a major challenge for the Norwegian welfare system. [ABSTRACT FROM AUTHOR]
- Published
- 2004
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25. Ultrasound screening for developmental dysplasia of the hip in the neonate: the effect on treatment rate and prevalence of late cases.
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Rosendahl K, Markestad T, and Lie RT
- Published
- 1994
26. [Commentary on] Familial patterns of preterm delivery: maternal and fetal contributions.
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Wilcox AJ, Skjærven R, and Lie RT
- Published
- 2008
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- View/download PDF
27. Serum C1-esterase inhibitor, an essential and independent prognosticator of gastric carcinoma.
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Janssen, CW, Lie, RT, Maartmann-Moe, H, and Matre, R
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- 1989
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28. Recurrence of pre-eclampsia across generations: exploring fetal and maternal genetic components in a population based cohort.
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Skjaerven R, Vatten LJ, Wilcox AJ, Ronning T, Irgens LM, and Lie RT
- Published
- 2006
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29. Outcome of pregnancy in diabetic women in northeast England and in Norway, 1994-7 [corrected] [published erratum appears in BMJ 2003 Nov 1;327(7422):1016].
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Hawthorne G, Irgens LM, and Lie RT
- Published
- 2000
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30. Immediate treatment versus sonographic surveillance for mild hip dysplasia in newborns.
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Rosendahl K, Dezateux C, Fosse KR, Aase H, Aukland SM, Reigstad H, Alsaker T, Moster D, Lie RT, and Markestad T
- Published
- 2010
- Full Text
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31. Joint association of Apgar scores and early neonatal symptoms with minor disabilities at school age.
- Author
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Moster D, Lie RT, Markestad T, Moster, D, Lie, R T, and Markestad, T
- Abstract
Objective: To examine whether the combination of a low five minute Apgar score and symptoms of neonatal encephalopathy is associated with minor impairments at school age.Design: Population based cohort study.Setting: Norway.Participants: All 727 children of the cohort were born between 1983 and 1987, had normal birth weights, no congenital malformations, and no major neurological abnormalities. The cohort comprised three groups with five minute Apgar scores of 0-3, 4-6, and 7-10, and were followed from birth to 8-13 years of age by combining data from The Medical Birth Registry, questionnaires, hospital discharge summaries, and the National Insurance Scheme.Main Outcome Measure: Neurodevelopmental impairments such as learning, behavioural, and minor motor difficulties.Results: Children with a five minute Apgar score of 3 or less and signs consistent with neonatal encephalopathy had a significantly increased risk of developing minor motor impairments (odds ratio (OR) 12.8, 95% confidence interval (CI) 2.6 to 63.2), epilepsy (OR 7.0, 95% CI 1.3 to 39.2), need of extra resources in kindergarten (OR 7.0, 95% CI 1.3 to 39.2) or at school (OR 3.4, 95% CI 1.8 to 6.3), and had reduced performance in reading (OR 4.6, 95% CI 2.3 to 9.5) and mathematics (OR 3.3, 95% CI 1.5 to 7.3), compared with children with normal Apgar scores and no neonatal symptoms. They also more often had problems related to tractability, aggressivity, passivity, anxiety, academic performance, and fine motor development.Conclusion: Children with low Apgar scores and subsequent signs of cerebral depression who do not develop cerebral palsy may still have an increased risk of developing a variety of neurodevelopmental impairments and learning difficulties. [ABSTRACT FROM AUTHOR]- Published
- 2002
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32. The interval between pregnancies and the risk of preeclampsia.
- Author
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Skjærven R, Wilcox AJ, and Lie RT
- Published
- 2002
33. A population-based study of survival and childbearing among female subjects with birth defects and the risk of recurrence in their children.
- Author
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Skjaerven R, Wilcox AJ, and Lie RT
- Published
- 1999
34. Parent's occupation and isolated orofacial clefts in Norway: a population-based case-control study.
- Author
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Nguyen RHN, Wilcox AJ, Moen BE, McConnaughey DR, and Lie RT
- Abstract
PURPOSE: Occupational factors have been associated with risk of orofacial clefts in offspring, although data are limited. We explored associations between parent's occupation and isolated orofacial clefts using a population-based case-control study. METHODS: Cases were restricted to infants born with an isolated orofacial cleft in Norway during the period 1996 to 2001 (314 with cleft lip with or without palate [CLP] and 118 with cleft palate only [CPO]). Controls (n = 763) were chosen randomly from all Norwegian live births. We considered full-time employment during the first 3 months of pregnancy. RESULTS: Several maternal occupations previously associated with clefts showed some evidence of association, including hairdressers (CLP; adjusted odds ratio = 4.8; 95% confidence interval [CI]: 0.99-23). Mothers working in manufacturing and in food production had increased odds for babies with CPO (3.8; 1.3-11, and 7.1; 1.5-33, respectively). Among fathers' occupations previously associated with clefts, an association was suggested for woodworking both for CLP (1.7; 0.85-3.2) and for CPO (2.0; 0.82-4.7). Fathers working as professional housekeepers showed substantial increased odds of CPO (12; 3.3-46). CONCLUSIONS: Taken together with previous studies, these results suggest that exposures in certain occupations may influence the risk of orofacial clefting in offspring. Specific exposures accompanying these occupations warrant exploration. [ABSTRACT FROM AUTHOR]
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- 2007
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35. Daily snuff use during pregnancy, gestational length and birth weight; register-based study.
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Lie RT, Magnus MC, Gjessing HK, Wilcox AJ, and Håberg SE
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- Humans, Female, Pregnancy, Adult, Norway, Infant, Newborn, Pregnancy Outcome epidemiology, Young Adult, Tobacco, Smokeless statistics & numerical data, Birth Weight, Registries, Gestational Age
- Abstract
Background: Snuff is a smokeless source of nicotine that is common in Scandinavia and increasingly used by women of fertile age. Persistent use of snuff during pregnancy has been associated with adverse pregnancy outcomes. Emerging data from the Medical Birth Registry of Norway distinguishes between occasional use and daily use. We provide preliminary estimates of associations between frequency of snuff and gestational length and birth weight., Methods: Data on snuff use during pregnancies delivered in 2020 and 2021 were available for the west and central regions of Norway. Associations of snuff use with gestational length and birth weight at term (39-41 weeks) were estimated using quantile regression at the 25th, the 50th and the 75th percentiles, with adjustments for mother's age, pre-pregnancy weight, and parity. We compared associations with the pregnancy outcomes according to maternal snuff and cigarette use., Results: 12.4% of 18 042 non-smoking women reported daily use of snuff before pregnancy, and 4.6% reported continuing use during pregnancy, with 1.2% still reporting daily use in the last trimester. Women with daily use through the last trimester delivered babies with a median gestational length reduced by 3.4 days (95% CI: -5.0 to -1.7 days) compared with women who never used snuff. The reduction was even stronger at the 25th percentile of gestational age. The median term birth weight was reduced by 44 g (95% CI: -134 to 46 g). These associations were much weaker for women who quit snuff at some point during pregnancy or used snuff only occasionally. Mothers who smoked daily through the last trimester had a median gestational length reduced by 2.1 days (95% CI: -2.7 to -1.4) and a median term birth weight reduced by 294 g (95% CI: -325 to -262) compared with never-smokers., Conclusions: Daily snuff use through the last trimester reduced the median gestational length by more than three days. Snuff reduced birth weight, but not as much as smoking, suggesting that the predominant effect of smoking on fetal growth is not through nicotine but through the additional toxic chemicals in cigarettes or by reduced oxygen supply to the fetus., (© 2024. The Author(s).)
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- 2024
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36. Homozygosity for a stop-gain variant in CCDC201 causes primary ovarian insufficiency.
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Oddsson A, Steinthorsdottir V, Oskarsson GR, Styrkarsdottir U, Moore KHS, Isberg S, Halldorsson GH, Sveinbjornsson G, Westergaard D, Nielsen HS, Fridriksdottir R, Jensson BO, Arnadottir GA, Jonsson H, Sturluson A, Snaebjarnarson AS, Andreassen OA, Walters GB, Nyegaard M, Erikstrup C, Steingrimsdottir T, Lie RT, Melsted P, Jonsdottir I, Halldorsson BV, Thorleifsson G, Saemundsdottir J, Magnusson OT, Banasik K, Sorensen E, Masson G, Pedersen OB, Tryggvadottir L, Haavik J, Ostrowski SR, Stefansson H, Holm H, Rafnar T, Gudbjartsson DF, Sulem P, and Stefansson K
- Subjects
- Humans, Female, Polymorphism, Single Nucleotide, Middle Aged, Menopause genetics, United Kingdom, Gene Frequency, Iceland, Denmark, Genetic Predisposition to Disease, Primary Ovarian Insufficiency genetics, Homozygote, Genome-Wide Association Study
- Abstract
Age at menopause (AOM) has a substantial impact on fertility and disease risk. While many loci with variants that associate with AOM have been identified through genome-wide association studies (GWAS) under an additive model, other genetic models are rarely considered
1 . Here through GWAS meta-analysis under the recessive model of 174,329 postmenopausal women from Iceland, Denmark, the United Kingdom (UK; UK Biobank) and Norway, we study low-frequency variants with a large effect on AOM. We discovered that women homozygous for the stop-gain variant rs117316434 (A) in CCDC201 (p.(Arg162Ter), minor allele frequency ~1%) reached menopause 9 years earlier than other women (P = 1.3 × 10-15 ). The genotype is present in one in 10,000 northern European women and leads to primary ovarian insufficiency in close to half of them. Consequently, homozygotes have fewer children, and the age at last childbirth is 5 years earlier (P = 3.8 × 10-5 ). The CCDC201 gene was only found in humans in 2022 and is highly expressed in oocytes. Homozygosity for CCDC201 loss-of-function has a substantial impact on female reproductive health, and homozygotes would benefit from reproductive counseling and treatment for symptoms of early menopause., (© 2024. The Author(s).)- Published
- 2024
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37. Differential levels of circulating RNAs prior to endometrial cancer diagnosis.
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Rostami S, Rounge TB, Pestarino L, Lyle R, Fortner RT, Haaland ØA, Lie RT, Wiklund F, Bjørge T, and Langseth H
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- Humans, Female, Middle Aged, Aged, Circulating MicroRNA blood, Case-Control Studies, MicroRNAs blood, MicroRNAs genetics, Gene Expression Regulation, Neoplastic, Norway epidemiology, Adult, Endometrial Neoplasms blood, Endometrial Neoplasms diagnosis, Endometrial Neoplasms genetics, Biomarkers, Tumor blood, Biomarkers, Tumor genetics
- Abstract
Endometrial cancer (EC) is one of the most common female cancers and there is currently no routine screening strategy for early detection. An altered abundance of circulating microRNAs (miRNAs) and other RNA classes have the potential as early cancer biomarkers. We analyzed circulating RNA levels using small RNA sequencing, targeting RNAs in the size range of 17-47 nucleotides, in EC patients with samples collected prior to diagnosis compared to cancer-free controls. The analysis included 316 cases with samples collected 1-11 years prior to EC diagnosis, and 316 matched controls, both from the Janus Serum Bank cohort in Norway. We identified differentially abundant (DA) miRNAs, isomiRs, and small nuclear RNAs between EC cases and controls. The top EC DA miRNAs were miR-155-5p, miR-200b-3p, miR-589-5p, miR-151a-5p, miR-543, miR-485-5p, miR-625-p, and miR-671-3p. miR-200b-3p was previously reported to be among one of the top miRNAs with higher abundance in EC cases. We observed 47, 41, and 32 DA miRNAs for EC interacting with BMI, smoking status, and physical activity, respectively, including two miRNAs (miR-223-3p and miR-29b-3p) interacting with all three factors. The circulating RNAs are altered and show temporal dynamics prior to EC diagnosis. Notably, DA miRNAs for EC had the lowest q-value 4.39-6.66 years before diagnosis. Enrichment analysis of miRNAs showed that signaling pathways Fc epsilon RI, prolactin, toll-like receptor, and VEGF had the strongest associations., (© 2024 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2024
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38. Risk Factors for Neural-Tube Defects Detected in Utero: A Prospective Community-Based Study from Addis Ababa.
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Tirsit A, Yigaramu M, Zewdneh D, Kucha W, Hagos S, Shikur B, Laeke T, Moen BE, Lie RT, Lund-Johansen M, and Mahesparan R
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- Humans, Female, Risk Factors, Pregnancy, Adult, Ethiopia epidemiology, Prospective Studies, Homocysteine blood, Young Adult, Ultrasonography, Prenatal, Prevalence, Neural Tube Defects epidemiology, Folic Acid blood, Vitamin B 12 blood
- Abstract
Background: A recent community-based study from Addis Ababa identifying Neural Tube Defect (NTD) cases by ultrasound examination of pregnant women showed a higher prevalence of 17 per 1000 fetuses. The risk factors behind the high prevalence remain unclear., Methods: Altogether 891 of the 958 women participated in the ultrasound examination. Thirteen with unaffected twin pregnancies were excluded. Among 878 singleton pregnancies, 15 NTD cases were identified. Serum Folate, vitamin B12, and homocysteine levels were measured in case-mothers and a sub-set of 28 noncase mothers. Because of the modest sample size, exact logistic regression analysis was used to estimate associations between risk factors and NTDs., Results: Serum vitamin status was generally poor for participants in the study. Still, relatively higher values of folate or vitamin B12 in serum, appeared to be protective for NTD (odds ratio [OR] = 0.61 per ng/ml, 95% Confidence interval [CI]: 0.42-0.85 and OR = 0.67 per 100 pg/ml, 95% CI: 0.41-1.02, respectively). High serum homocysteine was associated with higher risk of NTD (OR = 1.3 per μmol/l, 95% CI: 1.02-1.8). Women aged 30 years or more had an OR of 3.5 (95% CI: 1.1-12) for having a NTD child, and families with NTD children had lower household income. Women in the NTD group also had more spontaneous abortions or stillbirths in previous pregnancies. Self-reported intake of folate did not appear to protect against NTDs., Conclusions: Within this high-prevalence community, poor vitamin status was identified as a risk factor for NTDs detected at ultrasound examination. Improving food security and fortification of foods or food ingredients could be alternative measures., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
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- 2024
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39. Author Correction: Effect of maternal sleep on embryonic development.
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Vietheer A, Kiserud T, Haaland ØA, Lie RT, and Kessler J
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- 2024
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40. Maternal physical activity affects yolk sac size and growth in early pregnancy, but girls and boys use different strategies.
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Vietheer A, Kiserud T, Ebbing C, Rajkumar H, Ariansen Haaland Ø, Lie RT, Romero R, and Kessler J
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- Pregnancy, Humans, Female, Male, Longitudinal Studies, Gestational Age, Yolk Sac, Embryonic Development physiology
- Abstract
This longitudinal study investigated the impact of actigraphy-measured maternal physical activity on yolk sac size during early development. The yolk sac, a transient extraembryonic organ, plays a crucial role in embryonic development and is involved in metabolism, nutrition, growth, and hematopoiesis. Prospectively collected data from 190 healthy women indicated that their total daily physical activity, including both light and moderate-vigorous activity, was associated with yolk sac growth dynamics depending on embryonic sex and gestational age. Higher preconception maternal physical activity was linked to a larger yolk sac at 7 weeks (95% CI [0.02-0.13 mm]) and a smaller yolk sac at 10 weeks' gestation (95% CI [- 0.18 to - 0.00]) in male embryos; in female embryos, the yolk sac size was increased at 10 weeks' gestation (95% CI [0.06-0.26]) and was, on average, 24% larger than that in male embryos (95% CI [0.12-0.38]). Considering the pattern of other maternal effects on yolk sac size-e.g., body composition and sleep duration-we suggest that physiological yolk sac adaptations occur in short, sex-specific time windows and can be influenced by various maternal factors., (© 2023. The Author(s).)
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- 2023
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41. Corrigendum to "Sleep and physical activity from before conception to the end of pregnancy in healthy women: A longitudinal actigraphy study" [Sleep Med 83 (2021) 89-98].
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Vietheer A, Kiserud T, Lie RT, Haaland ØA, and Kessler J
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- 2023
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42. Rare variants with large effects provide functional insights into the pathology of migraine subtypes, with and without aura.
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Bjornsdottir G, Chalmer MA, Stefansdottir L, Skuladottir AT, Einarsson G, Andresdottir M, Beyter D, Ferkingstad E, Gretarsdottir S, Halldorsson BV, Halldorsson GH, Helgadottir A, Helgason H, Hjorleifsson Eldjarn G, Jonasdottir A, Jonasdottir A, Jonsdottir I, Knowlton KU, Nadauld LD, Lund SH, Magnusson OT, Melsted P, Moore KHS, Oddsson A, Olason PI, Sigurdsson A, Stefansson OA, Saemundsdottir J, Sveinbjornsson G, Tragante V, Unnsteinsdottir U, Walters GB, Zink F, Rødevand L, Andreassen OA, Igland J, Lie RT, Haavik J, Banasik K, Brunak S, Didriksen M, T Bruun M, Erikstrup C, Kogelman LJA, Nielsen KR, Sørensen E, Pedersen OB, Ullum H, Masson G, Thorsteinsdottir U, Olesen J, Ludvigsson P, Thorarensen O, Bjornsdottir A, Sigurdardottir GR, Sveinsson OA, Ostrowski SR, Holm H, Gudbjartsson DF, Thorleifsson G, Sulem P, Stefansson H, Thorgeirsson TE, Hansen TF, and Stefansson K
- Subjects
- Humans, Genome-Wide Association Study, Phenotype, Migraine Disorders genetics, Migraine with Aura genetics, Epilepsy
- Abstract
Migraine is a complex neurovascular disease with a range of severity and symptoms, yet mostly studied as one phenotype in genome-wide association studies (GWAS). Here we combine large GWAS datasets from six European populations to study the main migraine subtypes, migraine with aura (MA) and migraine without aura (MO). We identified four new MA-associated variants (in PRRT2, PALMD, ABO and LRRK2) and classified 13 MO-associated variants. Rare variants with large effects highlight three genes. A rare frameshift variant in brain-expressed PRRT2 confers large risk of MA and epilepsy, but not MO. A burden test of rare loss-of-function variants in SCN11A, encoding a neuron-expressed sodium channel with a key role in pain sensation, shows strong protection against migraine. Finally, a rare variant with cis-regulatory effects on KCNK5 confers large protection against migraine and brain aneurysms. Our findings offer new insights with therapeutic potential into the complex biology of migraine and its subtypes., (© 2023. The Author(s).)
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- 2023
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43. Prevalence of neural tube defects among pregnant women in Addis Ababa: a community-based study using prenatal ultrasound examination.
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Tirsit A, Zewdneh D, Yigeremu M, Legese A, Moen BE, Lie RT, Lund-Johansen M, and Mahesparan R
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- Female, Pregnancy, Humans, Pregnant Women, Prevalence, Ethiopia epidemiology, Ultrasonography, Prenatal, Neural Tube Defects diagnostic imaging, Neural Tube Defects epidemiology, Spinal Dysraphism diagnostic imaging, Spinal Dysraphism epidemiology
- Abstract
Purpose: The primary aim of this study was to estimate the prevalence of NTDs at ultrasound examination in communities of Addis Ababa and secondarily to provide a description of the dysmorphology of the NTD cases., Methods: We enrolled 958 pregnant women from 20 randomly selected health centers in Addis Ababa during the period from October 1, 2018, to April 30, 2019. Of these 958 women, 891 had an ultrasound examination after enrollment, with a special focus on NTDs. We estimated the prevalence of NTDs and compared it with previously reported hospital-based birth prevalence estimates from Addis Ababa., Results: Among 891 women, 13 had twin pregnancies. We identified 15 NTD cases among 904 fetuses, corresponding to an ultrasound-based prevalence of 166 per 10,000 (95% CI: 100-274). There were no NTD cases among the 26 twins. Eleven had spina bifida (122 per 10,000, 95% CI: 67-219). Among the 11 fetuses with spina bifida, three had a cervical and one had a thoracolumbar defect while the anatomical site for 7 was not registered. Seven of the 11 spina bifida defects had skin covering, while two of the cervical lesions were uncovered., Conclusion: We report a high prevalence of NTDs among pregnancies in communities of Addis Ababa based on screening by ultrasound. The prevalence was higher than in previous hospital-based studies in Addis, and the prevalence of spina bifida was particularly high., (© 2023. The Author(s).)
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- 2023
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44. Time trends in perinatal outcomes among HIV-positive pregnant women in Northern Tanzania: A registry-based study.
- Author
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Rebnord T, Mmbaga BT, Sandøy IF, Lie RT, Mchome B, Mahande MJ, and Daltveit AK
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- Infant, Newborn, Pregnancy, Humans, Female, Pregnancy Outcome, Stillbirth epidemiology, Pregnant Women, Birth Weight, Cohort Studies, Tanzania epidemiology, Infectious Disease Transmission, Vertical prevention & control, Registries, Premature Birth epidemiology, Premature Birth prevention & control, HIV Infections complications, HIV Infections drug therapy, HIV Infections epidemiology, Perinatal Death, HIV Seropositivity
- Abstract
Introduction: Maternal HIV infection is associated with increased risk of having a preterm delivery, low birth weight baby, small for gestational age baby and stillbirth. Maternal use of combination antiretroviral treatment is also associated with preterm delivery and low birth weight, although the effects vary by the type of drugs and timing of initiation., Objective: To examine time trends in adverse perinatal outcomes among HIV-positive compared with HIV-negative women., Design: Registry-based cohort study., Setting: Northern Tanzania, 2000-2018., Study Sample: Mother-baby pairs of singleton deliveries (n = 41 156)., Methods: Perinatal outcomes of HIV-positive women were compared with HIV-negative women during time periods representing shifts in prevention of mother-to-child transmission guidelines. Monotherapy was used as first-line therapy before 2007 while combination antiretroviral treatment was routinely used from 2007. Log binomial and quantile regression were used to analyze the data., Main Outcome Measures: Preterm delivery, low birth weight, perinatal death, stillbirth, low Apgar score, transfer to neonatal care unit and small for gestational age., Results: Overall, maternal HIV infection was associated with a higher risk of low birth weight and small for gestational age. Moreover, this pattern became more pronounced over time for low birth weight, the last time period being an exception. For other outcomes we found none or only a small overall association with maternal HIV infection, although a trend towards higher risk over time in HIV-positive compared with HIV-negative women was observed for preterm delivery and perinatal death. Quantile regression showed an increase in birth weight in babies born to HIV-negative women over time and a corresponding decline in birth weight in babies born to HIV-positive women., Conclusion: Unfavourable trends in some of the selected perinatal outcomes were seen for HIV-positive compared with HIV-negative women. Potential side-effects of combination antiretroviral treatment in pregnancy should be further explored., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Rebnord et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
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45. Publisher Correction: Deficit of homozygosity among 1.52 million individuals and genetic causes of recessive lethality.
- Author
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Oddsson A, Sulem P, Sveinbjornsson G, Arnadottir GA, Steinthorsdottir V, Halldorsson GH, Atlason BA, Oskarsson GR, Helgason H, Nielsen HS, Westergaard D, Karjalainen JM, Katrinardottir H, Fridriksdottir R, Jensson BO, Tragante V, Ferkingstad E, Jonsson H, Gudjonsson SA, Beyter D, Moore KHS, Thordardottir HB, Kristmundsdottir S, Stefansson OA, Rantapää-Dahlqvist S, Sonderby IE, Didriksen M, Stridh P, Haavik J, Tryggvadottir L, Frei O, Walters GB, Kockum I, Hjalgrim H, Olafsdottir TA, Selbaek G, Nyegaard M, Erikstrup C, Brodersen T, Saevarsdottir S, Olsson T, Nielsen KR, Haraldsson A, Bruun MT, Hansen TF, Steingrimsdottir T, Jacobsen RL, Lie RT, Djurovic S, Alfredsson L, Lopez de Lapuente Portilla A, Brunak S, Melsted P, Halldorsson BV, Saemundsdottir J, Magnusson OT, Padyukov L, Banasik K, Rafnar T, Askling J, Klareskog L, Pedersen OB, Masson G, Havdahl A, Nilsson B, Andreassen OA, Daly M, Ostrowski SR, Jonsdottir I, Stefansson H, Holm H, Helgason A, Thorsteinsdottir U, Stefansson K, and Gudbjartsson DF
- Published
- 2023
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46. Author Correction: Genetic effects on the timing of parturition and links to fetal birth weight.
- Author
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Solé-Navais P, Flatley C, Steinthorsdottir V, Vaudel M, Juodakis J, Chen J, Laisk T, LaBella AL, Westergaard D, Bacelis J, Brumpton B, Skotte L, Borges MC, Helgeland Ø, Mahajan A, Wielscher M, Lin F, Briggs C, Wang CA, Moen GH, Beaumont RN, Bradfield JP, Abraham A, Thorleifsson G, Gabrielsen ME, Ostrowski SR, Modzelewska D, Nohr EA, Hypponen E, Srivastava A, Talbot O, Allard C, Williams SM, Menon R, Shields BM, Sveinbjornsson G, Xu H, Melbye M, Lowe W Jr, Bouchard L, Oken E, Pedersen OB, Gudbjartsson DF, Erikstrup C, Sørensen E, Lie RT, Teramo K, Hallman M, Juliusdottir T, Hakonarson H, Ullum H, Hattersley AT, Sletner L, Merialdi M, Rifas-Shiman SL, Steingrimsdottir T, Scholtens D, Power C, West J, Nyegaard M, Capra JA, Skogholt AH, Magnus P, Andreassen OA, Thorsteinsdottir U, Grant SFA, Qvigstad E, Pennell CE, Hivert MF, Hayes GM, Jarvelin MR, McCarthy MI, Lawlor DA, Nielsen HS, Mägi R, Rokas A, Hveem K, Stefansson K, Feenstra B, Njolstad P, Muglia LJ, Freathy RM, Johansson S, Zhang G, and Jacobsson B
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- 2023
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47. Maternal antiretroviral treatment for HIV infection and risk of small-for-gestational-age birth: A systematic review and meta-analysis of protease inhibitor-based treatment and timing of treatment.
- Author
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Rebnord T, Lie RT, Daltveit AK, and Sandøy IF
- Subjects
- Pregnancy, Infant, Female, Humans, Pregnancy Outcome, Protease Inhibitors therapeutic use, HIV Infections drug therapy, HIV Infections complications, Anti-HIV Agents adverse effects
- Abstract
Background: Data indicate that certain combination antiretroviral treatment (cART) regimens, particularly protease inhibitor (PI)-based regimens, and cART initiation before conception may be associated with adverse pregnancy outcomes. The risk of having a small-for-gestational-age (SGA) infant was examined among pregnant HIV-infected mothers on 1) PI-based compared to non-PI-based cART, and 2) any cART initiated before compared to after conception., Methods: A search was conducted using PubMed, Embase, and the Cochrane Library, and a systematic review was performed of studies published since Dec 1, 1995. Effect estimates with 95% confidence intervals (CIs) were extracted and meta-analyses with random-effects models were conducted. The certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation tool., Findings: Of 783 identified studies, 28 fulfilled the inclusion criteria. Meta-analysis indicated that PI-based cART was associated with a possible slightly increased risk of SGA compared with non-PI-based cART (pooled odds ratio [OR]: 1·09; CI: 0·76, 1·55). Initiation of cART before conception was also associated with a possible slightly increased risk of SGA compared with after conception (pooled OR: 1·08; CI: 0·95, 1·22). The overall certainty of evidence was very low and low for the first and second research questions, respectively., Interpretation: Although the benefits of cART largely outweigh the risks, these findings indicate the possibility of slightly increased risks of having an SGA infant. This indicates that careful monitoring of fetuses exposed to PI-based cART or cART before pregnancy might be reasonable. Based on the uncertainty of evidence, further research may change this conclusion., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2023
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48. Deficit of homozygosity among 1.52 million individuals and genetic causes of recessive lethality.
- Author
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Oddsson A, Sulem P, Sveinbjornsson G, Arnadottir GA, Steinthorsdottir V, Halldorsson GH, Atlason BA, Oskarsson GR, Helgason H, Nielsen HS, Westergaard D, Karjalainen JM, Katrinardottir H, Fridriksdottir R, Jensson BO, Tragante V, Ferkingstad E, Jonsson H, Gudjonsson SA, Beyter D, Moore KHS, Thordardottir HB, Kristmundsdottir S, Stefansson OA, Rantapää-Dahlqvist S, Sonderby IE, Didriksen M, Stridh P, Haavik J, Tryggvadottir L, Frei O, Walters GB, Kockum I, Hjalgrim H, Olafsdottir TA, Selbaek G, Nyegaard M, Erikstrup C, Brodersen T, Saevarsdottir S, Olsson T, Nielsen KR, Haraldsson A, Bruun MT, Hansen TF, Steingrimsdottir T, Jacobsen RL, Lie RT, Djurovic S, Alfredsson L, Lopez de Lapuente Portilla A, Brunak S, Melsted P, Halldorsson BV, Saemundsdottir J, Magnusson OT, Padyukov L, Banasik K, Rafnar T, Askling J, Klareskog L, Pedersen OB, Masson G, Havdahl A, Nilsson B, Andreassen OA, Daly M, Ostrowski SR, Jonsdottir I, Stefansson H, Holm H, Helgason A, Thorsteinsdottir U, Stefansson K, and Gudbjartsson DF
- Subjects
- Humans, Animals, Mice, Homozygote, Genotype, Genes, Recessive, Proteins genetics
- Abstract
Genotypes causing pregnancy loss and perinatal mortality are depleted among living individuals and are therefore difficult to find. To explore genetic causes of recessive lethality, we searched for sequence variants with deficit of homozygosity among 1.52 million individuals from six European populations. In this study, we identified 25 genes harboring protein-altering sequence variants with a strong deficit of homozygosity (10% or less of predicted homozygotes). Sequence variants in 12 of the genes cause Mendelian disease under a recessive mode of inheritance, two under a dominant mode, but variants in the remaining 11 have not been reported to cause disease. Sequence variants with a strong deficit of homozygosity are over-represented among genes essential for growth of human cell lines and genes orthologous to mouse genes known to affect viability. The function of these genes gives insight into the genetics of intrauterine lethality. We also identified 1077 genes with homozygous predicted loss-of-function genotypes not previously described, bringing the total set of genes completely knocked out in humans to 4785., (© 2023. The Author(s).)
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- 2023
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49. Genetic effects on the timing of parturition and links to fetal birth weight.
- Author
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Solé-Navais P, Flatley C, Steinthorsdottir V, Vaudel M, Juodakis J, Chen J, Laisk T, LaBella AL, Westergaard D, Bacelis J, Brumpton B, Skotte L, Borges MC, Helgeland Ø, Mahajan A, Wielscher M, Lin F, Briggs C, Wang CA, Moen GH, Beaumont RN, Bradfield JP, Abraham A, Thorleifsson G, Gabrielsen ME, Ostrowski SR, Modzelewska D, Nohr EA, Hypponen E, Srivastava A, Talbot O, Allard C, Williams SM, Menon R, Shields BM, Sveinbjornsson G, Xu H, Melbye M, Lowe W Jr, Bouchard L, Oken E, Pedersen OB, Gudbjartsson DF, Erikstrup C, Sørensen E, Lie RT, Teramo K, Hallman M, Juliusdottir T, Hakonarson H, Ullum H, Hattersley AT, Sletner L, Merialdi M, Rifas-Shiman SL, Steingrimsdottir T, Scholtens D, Power C, West J, Nyegaard M, Capra JA, Skogholt AH, Magnus P, Andreassen OA, Thorsteinsdottir U, Grant SFA, Qvigstad E, Pennell CE, Hivert MF, Hayes GM, Jarvelin MR, McCarthy MI, Lawlor DA, Nielsen HS, Mägi R, Rokas A, Hveem K, Stefansson K, Feenstra B, Njolstad P, Muglia LJ, Freathy RM, Johansson S, Zhang G, and Jacobsson B
- Subjects
- Pregnancy, Infant, Newborn, Female, Humans, Birth Weight genetics, Gestational Age, Parturition genetics, Premature Birth genetics
- Abstract
The timing of parturition is crucial for neonatal survival and infant health. Yet, its genetic basis remains largely unresolved. We present a maternal genome-wide meta-analysis of gestational duration (n = 195,555), identifying 22 associated loci (24 independent variants) and an enrichment in genes differentially expressed during labor. A meta-analysis of preterm delivery (18,797 cases, 260,246 controls) revealed six associated loci and large genetic similarities with gestational duration. Analysis of the parental transmitted and nontransmitted alleles (n = 136,833) shows that 15 of the gestational duration genetic variants act through the maternal genome, whereas 7 act both through the maternal and fetal genomes and 2 act only via the fetal genome. Finally, the maternal effects on gestational duration show signs of antagonistic pleiotropy with the fetal effects on birth weight: maternal alleles that increase gestational duration have negative fetal effects on birth weight. The present study provides insights into the genetic effects on the timing of parturition and the complex maternal-fetal relationship between gestational duration and birth weight., (© 2023. The Author(s).)
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- 2023
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50. An examination of mediation by DNA methylation on birthweight differences induced by assisted reproductive technologies.
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Carlsen EØ, Lee Y, Magnus P, Jugessur A, Page CM, Nustad HE, Håberg SE, Lie RT, and Magnus MC
- Subjects
- Humans, Infant, Newborn, Birth Weight genetics, Cohort Studies, Embryo Transfer, ras Guanine Nucleotide Exchange Factors, DNA Methylation, Reproductive Techniques, Assisted adverse effects
- Abstract
Background: Children born after assisted reproductive technologies (ART) differ in birthweight from those naturally conceived. It has been hypothesized that this might be explained by epigenetic mechanisms. We examined whether cord blood DNA methylation mediated the birthweight difference between 890 newborns conceived by ART (764 by fresh embryo transfer and 126 frozen thawed embryo transfer) and 983 naturally conceived newborns from the Norwegian Mother, Father, and Child Cohort Study (MoBa). DNA methylation was measured by the Illumina Infinium MethylationEPIC array. We conducted mediation analyses to assess whether differentially methylated CpGs mediated the differences in birthweight observed between: (1) fresh embryo transfer and natural conception and (2) frozen and fresh embryo transfer., Results: We observed a difference in birthweight between fresh embryo transfer and naturally conceived offspring of - 120 g. 44% (95% confidence interval [CI] 26% to 81%) of this difference in birthweight between fresh embryo transfer and naturally conceived offspring was explained by differences in methylation levels at four CpGs near LOXL1, CDH20, and DRC1. DNA methylation differences at two CpGs near PTGS1 and RASGRP4 jointly mediated 22% (95% CI 8.1% to 50.3%) of the birthweight differences between fresh and frozen embryo transfer., Conclusion: Our findings suggest that DNA methylation is an important mechanism in explaining birthweight differences according to the mode of conception. Further research should examine how gene regulation at these loci influences fetal growth., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
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