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214 results on '"Page CM"'

1. Assessing the power of exome chips

Author

Baranzini, Sergio, Page, CM, Mevik, BH, Bos, SD, Harbo, HF, and Andreassen, BK

Abstract

Genotyping chips for rare and low-frequent variants have recently gained popularity with the introduction of exome chips, but the utility of these chips remains unclear. These chips were designed using exome sequencing data from mainly American-European in

Published
2015

2. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Author

Universitat Rovira i Virgili, Kadalayil, L; Alam, MZ; White, CH; Ghantous, A; Walton, E; Gruzieva, O; Merid, SK; Kumar, A; Roy, RP; Solomon, O; Huen, K; Eskenazi, B; Rzehak, P; Grote, V; Langhendries, JP; Verduci, E; Ferre, N; Gruszfeld, D; Gao, L; Guan, WH; Zeng, XH; Schisterman, EF; Dou, JF; Bakulski, KM; Feinberg, JI; Soomro, MH; Pesce, G; Baiz, N; Isaevska, E; Plusquin, M; Vafeiadi, M; Roumeliotaki, T; Langie, SAS; Standaert, A; Allard, C; Perron, P; Bouchard, L; van Meel, ER; Felix, JF; Jaddoe, VWV; Yousefi, PD; Ramlau-Hansen, CH; Relton, CL; Tobi, EW; Starling, AP; Yang, IV; Llambrich, M; Santorelli, G; Lepeule, J; Salas, LA; Bustamante, M; Ewart, SL; Zhang, HM; Karmaus, W; Röder, S; Zenclussen, AC; Jin, JP; Nystad, W; Page, CM; Magnus, M; Jima, DD; Hoyo, C; Maguire, RL; Kvist, T; Czamara, D; Räikkönen, K; Gong, T; Ullemar, V; Rifas-Shiman, SL; Oken, E; Almqvist, C; Karlsson, R; Lahti, J; Murphy, SK; Håberg, SE; London, S; Herberth, G; Arshad, H; Sunyer, J; Grazuleviciene, R; Dabelea, D; Steegers-Theunissen, RPM; Nohr, EA; Sorensen, TIA; Duijts, L; Hivert, MF; Nelen, V; Popovic, M; Kogevinas, M; Nawrot, TS; Herceg, Z; Annesi-Maesano, I; Fallin, MD; Yeung, EDA; Breton, CV; Koletzko, B; Holland, N; Wiemels, JL; Melén, E; Sharp, GC; Silver, MJ; Rezwan, F; Holloway, JW, Universitat Rovira i Virgili, and Kadalayil, L; Alam, MZ; White, CH; Ghantous, A; Walton, E; Gruzieva, O; Merid, SK; Kumar, A; Roy, RP; Solomon, O; Huen, K; Eskenazi, B; Rzehak, P; Grote, V; Langhendries, JP; Verduci, E; Ferre, N; Gruszfeld, D; Gao, L; Guan, WH; Zeng, XH; Schisterman, EF; Dou, JF; Bakulski, KM; Feinberg, JI; Soomro, MH; Pesce, G; Baiz, N; Isaevska, E; Plusquin, M; Vafeiadi, M; Roumeliotaki, T; Langie, SAS; Standaert, A; Allard, C; Perron, P; Bouchard, L; van Meel, ER; Felix, JF; Jaddoe, VWV; Yousefi, PD; Ramlau-Hansen, CH; Relton, CL; Tobi, EW; Starling, AP; Yang, IV; Llambrich, M; Santorelli, G; Lepeule, J; Salas, LA; Bustamante, M; Ewart, SL; Zhang, HM; Karmaus, W; Röder, S; Zenclussen, AC; Jin, JP; Nystad, W; Page, CM; Magnus, M; Jima, DD; Hoyo, C; Maguire, RL; Kvist, T; Czamara, D; Räikkönen, K; Gong, T; Ullemar, V; Rifas-Shiman, SL; Oken, E; Almqvist, C; Karlsson, R; Lahti, J; Murphy, SK; Håberg, SE; London, S; Herberth, G; Arshad, H; Sunyer, J; Grazuleviciene, R; Dabelea, D; Steegers-Theunissen, RPM; Nohr, EA; Sorensen, TIA; Duijts, L; Hivert, MF; Nelen, V; Popovic, M; Kogevinas, M; Nawrot, TS; Herceg, Z; Annesi-Maesano, I; Fallin, MD; Yeung, EDA; Breton, CV; Koletzko, B; Holland, N; Wiemels, JL; Melén, E; Sharp, GC; Silver, MJ; Rezwan, F; Holloway, JW

Abstract

Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear.We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points.We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values < 0.05) at two CpGs at birth (winter-born) and four in the childhood (summer-born) analyses when compared to children born in autumn. Furthermore, we identified twenty-six differentially methylated regions (DMR) at birth (winter-born: 8, spring-born: 15, summer-born: 3) and thirty-two in childhood (winter-born: 12, spring and summer: 10 each) meta-analyses with few overlapping DMRs between the birth seasons or the two time points. The DMRs were associated with genes of known functions in tumorigenesis, psychiatric/neurological disorders, inflammation, or immunity, amongst others. Latitude-stratified meta-analyses [higher (≥ 50°N), lower (< 50°N, northern hemisphere only)] revealed differences in associations between birth season and DNAm by birth latitude. DMR analysis implicated genes with previously reported links to schizophrenia (LAX1), skin disorders (PSORS1C, LTB4R), and airway inflammation inclu

Published
2023

3. Meta-analysis of epigenome-wide association studies in newborns and children show widespread sex differences in blood DNA methylation.

Author

Solomon, O, Huen, K, Yousefi, P, Küpers, LK, González, JR, Suderman, M, Reese, SE, Page, CM, Gruzieva, O, Rzehak, P, Gao, L, Bakulski, KM, Novoloaca, A, Allard, C, Pappa, I, Llambrich, M, Vives, M, Jima, DD, Kvist, T, Baccarelli, A, White, C, Rezwan, FI, Sharp, GC, Tindula, G, Bergström, A, Grote, V, Dou, JF, Isaevska, E, Magnus, MC, Corpeleijn, E, Perron, P, Jaddoe, VWV, Nohr, EA, Maitre, L, Foraster, M, Hoyo, C, Håberg, SE, Lahti, J, DeMeo, DL, Zhang, H, Karmaus, W, Kull, I, Koletzko, B, Feinberg, JI, Gagliardi, L, Bouchard, L, Ramlau-Hansen, CH, Tiemeier, H, Santorelli, G, Maguire, RL, Czamara, D, Litonjua, AA, Langhendries, J-P, Plusquin, M, Lepeule, J, Binder, EB, Verduci, E, Dwyer, T, Carracedo, Á, Ferre, N, Eskenazi, B, Kogevinas, M, Nawrot, TS, Munthe-Kaas, MC, Herceg, Z, Relton, C, Melén, E, Gruszfeld, D, Breton, C, Fallin, MD, Ghantous, A, Nystad, W, Heude, B, Snieder, H, Hivert, M-F, Felix, JF, Sørensen, TIA, Bustamante, M, Murphy, SK, Raikkönen, K, Oken, E, Holloway, JW, Arshad, SH, London, SJ, Holland, N, Solomon, O, Huen, K, Yousefi, P, Küpers, LK, González, JR, Suderman, M, Reese, SE, Page, CM, Gruzieva, O, Rzehak, P, Gao, L, Bakulski, KM, Novoloaca, A, Allard, C, Pappa, I, Llambrich, M, Vives, M, Jima, DD, Kvist, T, Baccarelli, A, White, C, Rezwan, FI, Sharp, GC, Tindula, G, Bergström, A, Grote, V, Dou, JF, Isaevska, E, Magnus, MC, Corpeleijn, E, Perron, P, Jaddoe, VWV, Nohr, EA, Maitre, L, Foraster, M, Hoyo, C, Håberg, SE, Lahti, J, DeMeo, DL, Zhang, H, Karmaus, W, Kull, I, Koletzko, B, Feinberg, JI, Gagliardi, L, Bouchard, L, Ramlau-Hansen, CH, Tiemeier, H, Santorelli, G, Maguire, RL, Czamara, D, Litonjua, AA, Langhendries, J-P, Plusquin, M, Lepeule, J, Binder, EB, Verduci, E, Dwyer, T, Carracedo, Á, Ferre, N, Eskenazi, B, Kogevinas, M, Nawrot, TS, Munthe-Kaas, MC, Herceg, Z, Relton, C, Melén, E, Gruszfeld, D, Breton, C, Fallin, MD, Ghantous, A, Nystad, W, Heude, B, Snieder, H, Hivert, M-F, Felix, JF, Sørensen, TIA, Bustamante, M, Murphy, SK, Raikkönen, K, Oken, E, Holloway, JW, Arshad, SH, London, SJ, and Holland, N

Abstract

BACKGROUND: Among children, sex-specific differences in disease prevalence, age of onset, and susceptibility have been observed in health conditions including asthma, immune response, metabolic health, some pediatric and adult cancers, and psychiatric disorders. Epigenetic modifications such as DNA methylation may play a role in the sexual differences observed in diseases and other physiological traits. METHODS: We performed a meta-analysis of the association of sex and cord blood DNA methylation at over 450,000 CpG sites in 8438 newborns from 17 cohorts participating in the Pregnancy And Childhood Epigenetics (PACE) Consortium. We also examined associations of child sex with DNA methylation in older children ages 5.5-10 years from 8 cohorts (n = 4268). RESULTS: In newborn blood, sex was associated at Bonferroni level significance with differences in DNA methylation at 46,979 autosomal CpG sites (p < 1.3 × 10-7) after adjusting for white blood cell proportions and batch. Most of those sites had lower methylation levels in males than in females. Of the differentially methylated CpG sites identified in newborn blood, 68% (31,727) met look-up level significance (p < 1.1 × 10-6) in older children and had methylation differences in the same direction. CONCLUSIONS: This is a large-scale meta-analysis examining sex differences in DNA methylation in newborns and older children. Expanding upon previous studies, we replicated previous findings and identified additional autosomal sites with sex-specific differences in DNA methylation. Differentially methylated sites were enriched in genes involved in cancer, psychiatric disorders, and cardiovascular phenotypes.

Published
2022

4. Meta-analysis of epigenome-wide association studies in newborns and children show widespread sex differences in blood DNA methylation

Author

Universitat Rovira i Virgili, Solomon, O; Huen, K; Yousefi, P; Küpers, LK; González, JR; Suderman, M; Reese, SE; Page, CM; Gruzieva, O; Rzehak, P; Gao, L; Bakulski, KM; Novoloaca, A; Allard, C; Pappa, I; Llambrich, M; Vives, M; Jima, DD; Kvist, T; Baccarelli, A; White, C; Rezwan, FI; Sharp, GC; Tindula, G; Bergström, A; Grote, V; Dou, JF; Isaevska, E; Magnus, MC; Corpeleijn, E; Perron, P; Jaddoe, VWV; Nohr, EA; Maitre, L; Foraster, M; Hoyo, C; Håberg, SE; Lahti, J; DeMeo, DL; Zhang, HM; Karmaus, W; Kull, I; Koletzko, B; Feinberg, JI; Gagliardi, L; Bouchard, L; Ramlau-Hansen, CH; Tiemeier, H; Santorelli, G; Maguire, RL; Czamara, D; Litonjua, AA; Langhendries, JP; Plusquin, M; Lepeule, J; Binder, EB; Verduci, E; Dwyer, T; Carracedo, A; Ferre, N; Eskenazi, B; Kogevinas, M; Nawrot, TS; Munthe-Kaas, MC; Herceg, Z; Relton, C; Melén, E; Gruszfeld, D; Breton, C; Fallin, MD; Ghantous, A; Nystad, W; Heude, B; Snieder, H; Hivert, MF; Felix, JF; Sorensen, TIA; Bustamante, M; Murphy, SK; Raikkönen, K; Oken, E; Holloway, JW; Arshad, SH; London, SJ; Holland, N, Universitat Rovira i Virgili, and Solomon, O; Huen, K; Yousefi, P; Küpers, LK; González, JR; Suderman, M; Reese, SE; Page, CM; Gruzieva, O; Rzehak, P; Gao, L; Bakulski, KM; Novoloaca, A; Allard, C; Pappa, I; Llambrich, M; Vives, M; Jima, DD; Kvist, T; Baccarelli, A; White, C; Rezwan, FI; Sharp, GC; Tindula, G; Bergström, A; Grote, V; Dou, JF; Isaevska, E; Magnus, MC; Corpeleijn, E; Perron, P; Jaddoe, VWV; Nohr, EA; Maitre, L; Foraster, M; Hoyo, C; Håberg, SE; Lahti, J; DeMeo, DL; Zhang, HM; Karmaus, W; Kull, I; Koletzko, B; Feinberg, JI; Gagliardi, L; Bouchard, L; Ramlau-Hansen, CH; Tiemeier, H; Santorelli, G; Maguire, RL; Czamara, D; Litonjua, AA; Langhendries, JP; Plusquin, M; Lepeule, J; Binder, EB; Verduci, E; Dwyer, T; Carracedo, A; Ferre, N; Eskenazi, B; Kogevinas, M; Nawrot, TS; Munthe-Kaas, MC; Herceg, Z; Relton, C; Melén, E; Gruszfeld, D; Breton, C; Fallin, MD; Ghantous, A; Nystad, W; Heude, B; Snieder, H; Hivert, MF; Felix, JF; Sorensen, TIA; Bustamante, M; Murphy, SK; Raikkönen, K; Oken, E; Holloway, JW; Arshad, SH; London, SJ; Holland, N

Abstract

Background: Among children, sex-specific differences in disease prevalence, age of onset, and susceptibility have been observed in health conditions including asthma, immune response, metabolic health, some pediatric and adult cancers, and psychiatric disorders. Epigenetic modifications such as DNA methylation may play a role in the sexual differences observed in diseases and other physiological traits. Methods: We performed a meta-analysis of the association of sex and cord blood DNA methylation at over 450,000 CpG sites in 8438 newborns from 17 cohorts participating in the Pregnancy And Childhood Epigenetics (PACE) Consortium. We also examined associations of child sex with DNA methylation in older children ages 5.5–10 years from 8 cohorts (n = 4268). Results: In newborn blood, sex was associated at Bonferroni level significance with differences in DNA methylation at 46,979 autosomal CpG sites (p < 1.3 × 10−7) after adjusting for white blood cell proportions and batch. Most of those sites had lower methylation levels in males than in females. Of the differentially methylated CpG sites identified in newborn blood, 68% (31,727) met look-up level significance (p < 1.1 × 10−6) in older children and had methylation differences in the same direction. Conclusions: This is a large-scale meta-analysis examining sex differences in DNA methylation in newborns and older children. Expanding upon previous studies, we replicated previous findings and identified additional autosomal sites with sex-specific differences in DNA methylation. Differentially methylated sites were enriched in genes involved in cancer, psychiatric disorders, and cardiovascular phenotypes.

Published
2022

5. Association of medically assisted reproduction with offspring cord blood DNA methylation across cohorts

Author

Caramaschi, D, Jungius, J, Page, CM, Novakovic, B, Saffery, R, Halliday, J, Lewis, S, Magnus, MC, London, SJ, Haberg, SE, Relton, CL, Lawlor, DA, Elliott, HR, Caramaschi, D, Jungius, J, Page, CM, Novakovic, B, Saffery, R, Halliday, J, Lewis, S, Magnus, MC, London, SJ, Haberg, SE, Relton, CL, Lawlor, DA, and Elliott, HR

Abstract

STUDY QUESTION: Is cord blood DNA methylation associated with having been conceived by medically assisted reproduction? SUMMARY ANSWER: This study does not provide strong evidence of an association of conception by medically assisted reproduction with variation in infant blood cell DNA methylation. WHAT IS KNOWN ALREADY: Medically assisted reproduction consists of procedures used to help infertile/subfertile couples conceive, including ART. Due to its importance in gene regulation during early development programming, DNA methylation and its perturbations associated with medically assisted reproduction could reveal new insights into the biological effects of assisted reproductive technologies and potential adverse offspring outcomes. STUDY DESIGN, SIZE, DURATION: We investigated the association of DNA methylation and medically assisted reproduction using a case-control study design (N = 205 medically assisted reproduction cases and N = 2439 naturally conceived controls in discovery cohorts; N = 149 ART cases and N = 58 non-ART controls in replication cohort). PARTICIPANTS/MATERIALS, SETTINGS, METHODS: We assessed the association between medically assisted reproduction and DNA methylation at birth in cord blood (205 medically assisted conceptions and 2439 naturally conceived controls) at >450 000 CpG sites across the genome in two sub-samples of the UK Avon Longitudinal Study of Parents and Children (ALSPAC) and two sub-samples of the Norwegian Mother, Father and Child Cohort Study (MoBa) by meta-analysis. We explored replication of findings in the Australian Clinical review of the Health of adults conceived following Assisted Reproductive Technologies (CHART) study (N = 149 ART conceptions and N = 58 controls). MAIN RESULTS AND THE ROLE OF CHANCE: The ALSPAC and MoBa meta-analysis revealed evidence of association between conception by medically assisted reproduction and DNA methylation (false-discovery-rate-corrected P-value < 0.05) at five CpG sites which are annot

Published
2021

6. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age

Author

Merid, SK, Novoloaca, A, Sharp, GC, Kupers, LK, Kho, AT, Roy, R, Gao, L, Annesi-Maesano, I, Jain, P, Plusquin, M, Kogevinas, M, Allard, C, Vehmeijer, FO, Kazmi, N, Salas, LA, Rezwan, FI, Zhang, H, Sebert, S, Czamara, D, Rifas-Shiman, SL, Melton, PE, Lawlor, DA, Pershagen, G, Breton, CV, Huen, K, Baiz, N, Gagliardi, L, Nawrot, TS, Corpeleijn, E, Perron, P, Duijts, L, Nohr, EA, Bustamante, M, Ewart, SL, Karmaus, W, Zhao, S, Page, CM, Herceg, Z, Jarvelin, M-R, Lahti, J, Baccarelli, AA, Anderson, D, Kachroo, P, Relton, CL, Bergstrom, A, Eskenazi, B, Soomro, MH, Vineis, P, Snieder, H, Bouchard, L, Jaddoe, VW, Sorensen, TIA, Vrijheid, M, Arshad, SH, Holloway, JW, Haberg, SE, Magnus, P, Dwyer, T, Binder, EB, DeMeo, DL, Vonk, JM, Newnham, J, Tantisira, KG, Kull, I, Wiemels, JL, Heude, B, Sunyer, J, Nystad, W, Munthe-Kaas, MC, Raikkonen, K, Oken, E, Huang, R-C, Weiss, ST, Anto, JM, Bousquet, J, Kumar, A, Soderhall, C, Almqvist, C, Cardenas, A, Gruzieva, O, Xu, C-J, Reese, SE, Kere, J, Brodin, P, Solomon, O, Wielscher, M, Holland, N, Ghantous, A, Hivert, M-F, Felix, JF, Koppelman, GH, London, SJ, Melen, E, Merid, SK, Novoloaca, A, Sharp, GC, Kupers, LK, Kho, AT, Roy, R, Gao, L, Annesi-Maesano, I, Jain, P, Plusquin, M, Kogevinas, M, Allard, C, Vehmeijer, FO, Kazmi, N, Salas, LA, Rezwan, FI, Zhang, H, Sebert, S, Czamara, D, Rifas-Shiman, SL, Melton, PE, Lawlor, DA, Pershagen, G, Breton, CV, Huen, K, Baiz, N, Gagliardi, L, Nawrot, TS, Corpeleijn, E, Perron, P, Duijts, L, Nohr, EA, Bustamante, M, Ewart, SL, Karmaus, W, Zhao, S, Page, CM, Herceg, Z, Jarvelin, M-R, Lahti, J, Baccarelli, AA, Anderson, D, Kachroo, P, Relton, CL, Bergstrom, A, Eskenazi, B, Soomro, MH, Vineis, P, Snieder, H, Bouchard, L, Jaddoe, VW, Sorensen, TIA, Vrijheid, M, Arshad, SH, Holloway, JW, Haberg, SE, Magnus, P, Dwyer, T, Binder, EB, DeMeo, DL, Vonk, JM, Newnham, J, Tantisira, KG, Kull, I, Wiemels, JL, Heude, B, Sunyer, J, Nystad, W, Munthe-Kaas, MC, Raikkonen, K, Oken, E, Huang, R-C, Weiss, ST, Anto, JM, Bousquet, J, Kumar, A, Soderhall, C, Almqvist, C, Cardenas, A, Gruzieva, O, Xu, C-J, Reese, SE, Kere, J, Brodin, P, Solomon, O, Wielscher, M, Holland, N, Ghantous, A, Hivert, M-F, Felix, JF, Koppelman, GH, London, SJ, and Melen, E

Abstract

BACKGROUND: Preterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children. METHODS: We performed meta-analysis of Illumina's HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4-18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung. RESULTS: We identified 8899 CpGs in cord blood that were associated with gestational age (range 27-42 weeks), at Bonferroni significance, P < 1.06 × 10- 7, of which 3343 were novel. These were annotated to 4966 genes. After restricting findings to at least three significant adjacent CpGs, we identified 1276 CpGs annotated to 325 genes. Results were generally consistent when analyses were restricted to term births. Cord blood findings tended not to persist into childhood and adolescence. Pathway analyses identified enrichment for biological processes critical to embryonic development. Follow-up of identified genes showed correlations between gestational age and DNA methylation levels in fetal brain and lung tissue, as well as correlation with expression levels. CONCLUSIONS: We identified numerous CpGs differentially methylated in relation to gestational age at birth that appear to reflect fetal developmental processes across tissues. These findings may contribute to understanding mechanisms linking gestational age to health effects.

Published
2020

7. Hypertensive Disorders of Pregnancy and DNA Methylation in Newborns:Findings From the Pregnancy and Childhood Epigenetics Consortium

Author

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

9. Hypertensive Disorders of Pregnancy and DNA Methylation in Newborns Findings From the Pregnancy and Childhood Epigenetics Consortium

Author

Kazmi, N., Sharp, G.C. (Gregory), Reese, SE, Vehmeijer, F.O., Lahti, J. (Jari), Page, CM, Zhang, W.M., Rifas-Shiman, S.L. (Sheryl L.), Rezwan, F.I., Simpkin, A.J., Burrows, K., Richardson, T.G., Ferreira, D. L. S., Fraser, A, Harmon, Q.E., Zhao, S.S., Jaddoe, V.W.V. (Vincent), Czamara, D. (Darina), Binder, E.B. (Elisabeth), Magnus, M.C., Håberg, S.E. (Siri E), Nystad, W. (Wenche), Nohr, C. (Christian), Starling, A.P., Kechris, K.J., Yang, I.V., Demeo, D.L. (Dawn), Litonjua, AA, Baccarelli, A., Oken, E. (Emily), Holloway, J.W. (John), Karmaus, W, Arshad, S.H. (Syed), Dabelea, D., Sorensen, H.G., Laivuori, H, Raikkonen, K. (Katri), Felix, J.F. (Janine), London, S.J. (Stephanie), Hivert, M.-F. (Marie-France), Gaunt, T.R. (Tom), Lawlor, D.A. (Debbie), Relton, C.L. (Caroline), Kazmi, N., Sharp, G.C. (Gregory), Reese, SE, Vehmeijer, F.O., Lahti, J. (Jari), Page, CM, Zhang, W.M., Rifas-Shiman, S.L. (Sheryl L.), Rezwan, F.I., Simpkin, A.J., Burrows, K., Richardson, T.G., Ferreira, D. L. S., Fraser, A, Harmon, Q.E., Zhao, S.S., Jaddoe, V.W.V. (Vincent), Czamara, D. (Darina), Binder, E.B. (Elisabeth), Magnus, M.C., Håberg, S.E. (Siri E), Nystad, W. (Wenche), Nohr, C. (Christian), Starling, A.P., Kechris, K.J., Yang, I.V., Demeo, D.L. (Dawn), Litonjua, AA, Baccarelli, A., Oken, E. (Emily), Holloway, J.W. (John), Karmaus, W, Arshad, S.H. (Syed), Dabelea, D., Sorensen, H.G., Laivuori, H, Raikkonen, K. (Katri), Felix, J.F. (Janine), London, S.J. (Stephanie), Hivert, M.-F. (Marie-France), Gaunt, T.R. (Tom), Lawlor, D.A. (Debbie), and Relton, C.L. (Caroline)

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 (R2=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
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10. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight.

Author

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

11. Hypertensive Disorders of Pregnancy and DNA Methylation in Newborns Findings From the Pregnancy and Childhood Epigenetics Consortium

Author

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, 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, and Relton, CL

Published
2019

12. Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition

Author

Gervin, K, Page, CM, Jansen, A, Aass, HCD, Jansen, MA, Fjeldstad, HE, Andreassen, BK, Duijts, Liesbeth, van Meurs, Joyce, van Zelm, Menno, Jaddoe, Vincent, Nordeng, H, Knudsen, GP, Magnus, P, Nystad, W, Staff, AC, Felix, Janine, Lyle, R, Immunology, Pediatrics, Erasmus MC other, Internal Medicine, and Epidemiology

Subjects
Adult, Male, 0301 basic medicine, Cancer Research, Cell type, Cell, Biology, Umbilical cord, Flow cytometry, Andrology, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, medicine, Humans, Molecular Biology, Genetic association, Blood Cells, medicine.diagnostic_test, Confounding, Infant, Newborn, DNA Methylation, Reference Standards, Fetal Blood, Flow Cytometry, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Cord blood, Immunology, DNA methylation, Female, Research Paper
Abstract

Epigenome-wide association studies of prenatal exposure to different environmental factors are becoming increasingly common. These studies are usually performed in umbilical cord blood. Since blood comprises multiple cell types with specific DNA methylation patterns, confounding caused by cellular heterogeneity is a major concern. This can be adjusted for using reference data consisting of DNA methylation signatures in cell types isolated from blood. However, the most commonly used reference data set is based on blood samples from adult males and is not representative of the cell type composition in neonatal cord blood. The aim of this study was to generate a reference data set from cord blood to enable correct adjustment of the cell type composition in samples collected at birth. The purity of the isolated cell types was very high for all samples (>97.1%), and clustering analyses showed distinct grouping of the cell types according to hematopoietic lineage. We explored whether this cord blood and the adult peripheral blood reference data sets impact the estimation of cell type composition in cord blood samples from an independent birth cohort (MoBa, n = 1092). This revealed significant differences for all cell types. Importantly, comparison of the cell type estimates against matched cell counts both in the cord blood reference samples (n = 11) and in another independent birth cohort (Generation R, n = 195), demonstrated moderate to high correlation of the data. This is the first cord blood reference data set with a comprehensive examination of the downstream application of the data through validation of estimated cell types against matched cell counts.

Published
2016

13. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium

Author

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

14. Vitamin D and risk of pregnancy related hypertensive disorders: mendelian randomisation study

Author

Magnus, MC, Miliku, K, Bauer, A, Engel, SM, Felix, Janine, Jaddoe, Vincent, Lawlor, DA, London, SJ, Magnus, P, McGinnis, R, Nystad, W, Page, CM, Rivadeneira, Fernando, Stene, LC, Tapia, G, Williams, N, Bonilla, C, Fraser, A, Magnus, MC, Miliku, K, Bauer, A, Engel, SM, Felix, Janine, Jaddoe, Vincent, Lawlor, DA, London, SJ, Magnus, P, McGinnis, R, Nystad, W, Page, CM, Rivadeneira, Fernando, Stene, LC, Tapia, G, Williams, N, Bonilla, C, and Fraser, A

Published
2018

15. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium

Author

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

16. Maternal alcohol consumption and offspring DNA methylation: findings from six general population-based birth cohorts

Author

Sharp, GC, Arathimos, R, Reese, SE, Page, CM, Felix, Janine, Kupers, LK, Rifas-Shiman, SL, Liu, CY, Burrows, K, Zhao, SS, Magnus, MC, Duijts, Liesbeth, Corpeleijn, E, DeMeo, DL, Litonjua, A, Baccarelli, A, Hivert, MF, Oken, E, Snieder, H, Jaddoe, Vincent, Nystad, W, London, SJ, Relton, CL, Zuccolo, L, Sharp, GC, Arathimos, R, Reese, SE, Page, CM, Felix, Janine, Kupers, LK, Rifas-Shiman, SL, Liu, CY, Burrows, K, Zhao, SS, Magnus, MC, Duijts, Liesbeth, Corpeleijn, E, DeMeo, DL, Litonjua, A, Baccarelli, A, Hivert, MF, Oken, E, Snieder, H, Jaddoe, Vincent, Nystad, W, London, SJ, Relton, CL, and Zuccolo, L

Published
2018

17. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium

Author

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

18. Surgical Experiences with the B.E.F

Author

Page Cm

Subjects
World Wide Web, Information retrieval, Text mining, business.industry, Computer science, General Engineering, General Earth and Planetary Sciences, Addresses and Papers, General Medicine, business, General Environmental Science
Published
2010

19. OBSERVATIONS ON THE DRAINAGE OF GUNSHOT WOUNDS

Author

Page Cm

Subjects
World Wide Web, Information retrieval, Text mining, business.industry, Computer science, General Engineering, MEDLINE, General Earth and Planetary Sciences, General Medicine, Articles, Drainage, business, General Environmental Science
Published
2010

22. Cases of Injury to the Carpal Bones

Author

Page Cm

Subjects
Carpal bones, medicine.anatomical_structure, business.industry, Medicine, Library science, Anatomy, business
Published
1921

24. The Development of Orthopædic Surgery

Author

Page Cm

Subjects
World Wide Web, medicine.medical_specialty, Computer science, Orthopedic surgery, Section (typography), medicine, MEDLINE, Medical physics
Published
1935

28. AN APPLIANCE FOR THE AMBULATORY TREATMENT OF FRACTURES OF THE THIGH

Author

Page Cm

Subjects
medicine.medical_specialty, business.industry, General Engineering, Articles, General Medicine, Thigh, Bioinformatics, medicine.anatomical_structure, Ambulatory, Physical therapy, General Earth and Planetary Sciences, Medicine, business, General Environmental Science
Published
1917

29. TREATMENT OF MUSCLE INJURIES

Author

Page Cm

Subjects
Text mining, business.industry, General Engineering, General Earth and Planetary Sciences, Medicine, General Medicine, business, Data science, Surgical Procedures in General Practice, General Environmental Science
Published
1938

31. NOTES ON THE TRANSPORT OF CASES OF FRACTURED THIGH

Author

Page Cm

Subjects
medicine.anatomical_structure, General Engineering, medicine, General Earth and Planetary Sciences, General Medicine, Anatomy, Articles, Thigh, Geology, General Environmental Science
Published
1915

33. ALUMINIUM SKELETON SPLINTS IN THE TREATMENT OF COMPOUND FRACTURES

Author

Page Cm

Subjects
Orthodontics, business.industry, General Engineering, chemistry.chemical_element, General Medicine, Articles, Bioinformatics, Skeleton (computer programming), Compound fractures, Splints, chemistry, Aluminium, General Earth and Planetary Sciences, Medicine, business, General Environmental Science
Published
1915

34. Surgical Economics in War*

Author

Page Cm

Subjects
Computer science, General Engineering, MEDLINE, General Earth and Planetary Sciences, Library science, General Medicine, Articles, Data science, General Environmental Science
Published
1942

35. Heavy rainfall in a changing climate

Author

Groisman, Py, Karl, Tr, Easterling, Dr, Knight, Rw, Jamason, Pf, Hennessy, Kj, Suppiah, R., Page, Cm, Joanna Wibig, Fortuniak, K., Razuvaev, Vn, Douglas, A., Forland, E., and Zhai, Pm

36. Heavy rainfall in a changing climate

Author

Groisman, Py, Karl, Tr, Easterling, Dr, Knight, Rw, Jamason, Pf, Hennessy, Kj, Suppiah, R., Page, Cm, Joanna Wibig, Fortuniak, K., Razuvaev, Vn, Douglas, A., Forland, E., Zhai, Pm, and AMER METEOROL SOC

37. CONGENITAL PYLORIC STENOSIS

Author

Page Cm

Subjects
medicine.medical_specialty, Information retrieval, business.industry, Computer science, General surgery, General Engineering, MEDLINE, Articles, General Medicine, Congenital pyloric stenosis, Text mining, medicine, General Earth and Planetary Sciences, business, General Environmental Science
Published
1931

38. Discussion on Bone-Grafting

Author

Page Cm

Subjects
World Wide Web, Information retrieval, Text mining, Computer science, business.industry, medicine.medical_treatment, medicine, Bone grafting, business
Published
1921

39. Case of Renal Dwarfism

Author

Page Cm

Subjects
World Wide Web, Text mining, Computer science, business.industry, Renal dwarfism, business, Data science
Published
1921

41. SOME SIMPLE HOT AIR APPLIANCES FOR FIELD UNITS

Author

Page Cm

Subjects
Computer engineering, Field (physics), Simple (abstract algebra), Computer science, General Engineering, General Earth and Planetary Sciences, Articles, General Medicine, Data science, General Environmental Science
Published
1918

42. Two Cases of Achondroplasia

Author

Page Cm

Subjects
business.industry, medicine, Library science, Achondroplasia, medicine.disease, business, Data science
Published
1914

49. Case of Cirsoid Aneurysm of the Foot

Author

Page Cm

Subjects
medicine.medical_specialty, business.industry, General surgery, Medicine, Library science, business, Cirsoid aneurysm, Foot (unit)
Published
1922

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