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1. Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta‐analysis of European, North American and Australian cohorts

Author

Santos, S, Voerman, E, Amiano, P, Barros, H, Beilin, LJ, Bergström, A, Charles, M‐A, Chatzi, L, Chevrier, C, Chrousos, GP, Corpeleijn, E, Costa, O, Costet, N, Crozier, S, Devereux, G, Doyon, M, Eggesbø, M, Fantini, MP, Farchi, S, Forastiere, F, Georgiu, V, Godfrey, KM, Gori, D, Grote, V, Hanke, W, Hertz‐Picciotto, I, Heude, B, Hivert, M‐F, Hryhorczuk, D, Huang, R‐C, Inskip, H, Karvonen, AM, Kenny, LC, Koletzko, B, Küpers, LK, Lagström, H, Lehmann, I, Magnus, P, Majewska, R, Mäkelä, J, Manios, Y, McAuliffe, FM, McDonald, SW, Mehegan, J, Melén, E, Mommers, M, Morgen, CS, Moschonis, G, Murray, D, Chaoimh, C Ní, Nohr, EA, Andersen, A‐M Nybo, Oken, E, Oostvogels, AJJM, Pac, A, Papadopoulou, E, Pekkanen, J, Pizzi, C, Polanska, K, Porta, D, Richiardi, L, Rifas‐Shiman, SL, Roeleveld, N, Ronfani, L, Santos, AC, Standl, M, Stigum, H, Stoltenberg, C, Thiering, E, Thijs, C, Torrent, M, Tough, SC, Trnovec, T, Turner, S, Gelder, MMHJ, Rossem, L, Berg, A, Vrijheid, M, Vrijkotte, TGM, West, J, Wijga, AH, Wright, J, Zvinchuk, O, Sørensen, TIA, Lawlor, DA, Gaillard, R, and Jaddoe, VWV

Subjects
Obesity, Contraception/Reproduction, Diabetes, Preterm, Low Birth Weight and Health of the Newborn, Infant Mortality, Cardiovascular, Clinical Research, Perinatal Period - Conditions Originating in Perinatal Period, Prevention, Nutrition, Pediatric, Aetiology, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, 2.1 Biological and endogenous factors, Prevention of disease and conditions, and promotion of well-being, Metabolic and endocrine, Reproductive health and childbirth, Good Health and Well Being, Adult, Australia, Birth Weight, Body Mass Index, Cohort Studies, Europe, Female, Gestational Age, Gestational Weight Gain, Humans, Infant, Newborn, North America, Odds Ratio, Overweight, Pregnancy, Pregnancy Complications, Risk Factors, Birthweight, body mass index, pregnancy complications, preterm birth, weight gain, Medical and Health Sciences, Obstetrics & Reproductive Medicine
Abstract

ObjectiveTo assess the separate and combined associations of maternal pre-pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact.DesignIndividual participant data meta-analysis of 39 cohorts.SettingEurope, North America, and Oceania.Population265 270 births.MethodsInformation on maternal pre-pregnancy BMI, gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used.Main outcome measuresGestational hypertension, pre-eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth.ResultsHigher maternal pre-pregnancy BMI and gestational weight gain were, across their full ranges, associated with higher risks of gestational hypertensive disorders, gestational diabetes, and large for gestational age at birth. Preterm birth risk was higher at lower and higher BMI and weight gain. Compared with normal weight mothers with medium gestational weight gain, obese mothers with high gestational weight gain had the highest risk of any pregnancy complication (odds ratio 2.51, 95% CI 2.31- 2.74). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight/obesity and 31.6% of large for gestational age infants was attributable to excessive gestational weight gain.ConclusionsMaternal pre-pregnancy BMI and gestational weight gain are, across their full ranges, associated with risks of pregnancy complications. Obese mothers with high gestational weight gain are at the highest risk of pregnancy complications. Promoting a healthy pre-pregnancy BMI and gestational weight gain may reduce the burden of pregnancy complications and ultimately the risk of maternal and neonatal morbidity.Tweetable abstractPromoting a healthy body mass index and gestational weight gain might reduce the population burden of pregnancy complications.

Published
2019

2. BMI at school age and incident asthma admissions in early adulthood: a prospective study of 310,211 children

Author

Ulrik CS, Lophaven SN, Andersen ZJ, Sørensen TIA, and Baker JL

Subjects
BMI, childhood, asthma, admissions, sex, adiposity, Infectious and parasitic diseases, RC109-216
Abstract

Charlotte Suppli Ulrik,1,2 Søren N Lophaven,3 Zorana Jovanovic Andersen,3 Thorkild IA Sørensen,4 Jennifer L Baker4,5 1Department of Respiratory Medicine, Hvidovre Hospital, Hvidovre, Denmark; 2Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; 3Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; 4Section of Metabolic Genetics and Section of Epidemiology, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark; 5Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark Background: Excess body weight in adulthood is associated with risk for asthma admission (AA). Our aim was to investigate if this association also applies to the relation between body mass index (BMI) in childhood and AAs in early adulthood (age 20–45 years). Methods: This was a prospective study of 310,211 schoolchildren (born 1930–1989) from the Copenhagen School Health Records Register. Height and weight were measured annually, and generated BMI z-scores were categorized as low (lower quartile), normal (interquartile) and high (upper quartile). Associations between BMI at ages 7–13 and AA were estimated by Cox regressions, and presented as hazard ratios (HRs) and 95% confidence intervals (CI). Main outcome was incident hospital AAs (extracted from the Danish National Patient Register) in early adulthood. Results: During 4,708,607 person-years of follow-up, 1,813 incident AAs were observed. Non-linear associations were detected between childhood BMI and AAs. The risk of AA increased for females in the highest BMI category in childhood, with the highest HR of 1.3 (95% CI 1.16–1.55) at the age of 13 years. By contrast, males in the low BMI category had a higher risk of AA in early adulthood, with the highest HR of 1.24 (95% CI 1.03–1.51) at the age of 12 years. Females with an increase in BMI between ages 7 and 13 years had an increased risk of AA compared with females with stable BMI (HR 1.28, 95% CI 1.10–1.50). Conclusion: The association between childhood BMI and AA in early adulthood is non-linear. High BMI increases the risk of AA in females, whereas low BMI increases the risk in males. Keywords: BMI, childhood, asthma, admissions, sex, adiposity

Published
2018

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. Genome-Wide Association Study of Circulating Interleukin 6 Levels Identifies Novel Loci

Author

Ahluwalia, TS, Prins, BP, Abdollahi, M, Armstrong, NJ, Aslibekyan, S, Bain, L, Jefferis, B, Baumert, J, Beekman, M, Ben-Shlomo, Y, Bis, JC, Mitchell, BD, de Geus, E, Delgado, GE, Marek, D, Eriksson, J, Kajantie, E, Kanoni, S, Kemp, JP, Lu, C, Marioni, RE, McLachlan, S, Milaneschi, Y, Nolte, IM, Petrelis, AM, Porcu, E, Sabater-Lleal, M, Naderi, E, Seppälä, I, Shah, T, Singhal, G, Standl, M, Teumer, A, Thalamuthu, A, Thiering, E, Trompet, S, Ballantyne, CM, Benjamin, EJ, Casas, JP, Toben, C, Dedoussis, G, Deelen, J, Durda, P, Engmann, J, Feitosa, MF, Grallert, H, Hammarstedt, A, Harris, SE, Homuth, G, Hottenga, J-J, Jalkanen, S, Jamshidi, Y, Jawahar, MC, Jess, T, Kivimaki, M, Kleber, ME, Lahti, J, Liu, Y, Marques-Vidal, P, Mellström, D, Mooijaart, SP, Müller-Nurasyid, M, Penninx, B, Revez, JA, Rossing, P, Räikkönen, K, Sattar, N, Scharnagl, H, Sennblad, B, Silveira, A, Pourcain, BS, Timpson, NJ, Trollor, J, CHARGE Inflammation Working Group, van Dongen, J, Van Heemst, D, Visvikis-Siest, S, Vollenweider, P, Völker, U, Waldenberger, M, Willemsen, G, Zabaneh, D, Morris, RW, Arnett, DK, Baune, BT, Boomsma, DI, Chang, Y-PC, Deary, IJ, Deloukas, P, Eriksson, JG, Evans, DM, Ferreira, MA, Gaunt, T, Gudnason, V, Hamsten, A, Heinrich, J, Hingorani, A, Humphries, SE, Jukema, JW, Koeing, W, Kumari, M, Kutalik, Z, Lawlor, DA, Lehtimäki, T, März, W, Mather, K, Naitza, S, Nauck, M, Ohlsson, C, Price, JF, Raitakari, O, Rice, K, Sachdev, PS, Slagboom, E, Sørensen, TIA, Spector, T, Stacey, D, Stathopoulou, MG, Tanaka, T, Wannamethee, SG, Whincup, P, Rotter, JI, Dehghan, A, Boerwinkle, E, Psaty, BM, Snieder, H, and Alizadeh, BZ

Abstract

Interleukin-6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery, and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed-effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on Chromosome (Chr) 2q14, (pcombined = 1.8 × 10-11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (pcombined = 1.5 × 10-10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (pcombined = 1.2 × 10-122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.

Published
2021

5. Body mass index trajectories from 2 to 18 years - exploring differences between European cohorts

Author

Graversen, L, Howe, LD, Sørensen, TIA, Sovio, U, Hohwü, L, Tilling, K, Laitinen, J, Taanila, A, Pouta, A, Järvelin, M-R, and Obel, C

Subjects
Male, Parents, child, Pediatric Obesity, Adolescent, ALSPAC, Scandinavian and Nordic Countries, United Kingdom, White People, Body Mass Index, BMI, cohort studies, Pregnancy, Child, Preschool, Ethnicity, Prevalence, Humans, Female, Longitudinal Studies
Abstract

BACKGROUND: In recent decades, there has been an increase in the prevalence of childhood overweight in most high-income countries. Within northern Europe, prevalence tends to be higher in the UK compared with the Scandinavian countries. We aimed to study differences in body mass index (BMI) trajectories between large cohorts of children from UK and Scandinavian populations. METHODS: We compared BMI trajectories in participants from the English Avon Longitudinal Study of Parents and Children born in 1991-1993 (ALSPAC) (N = 6517), the Northern Finland Birth Cohorts born in 1966 (NFBC1966) (N = 3321) and 1986 (NFBC1986) (N = 4764), and the Danish Aarhus Birth Cohort born in 1990-1992 (ABC) (N = 1920). We used multilevel models to estimate BMI trajectories from 2 to 18 years. We explored whether cohort differences were explained by maternal BMI, height, education or smoking during pregnancy and whether differences were attributable to changes in the degree of skew in the BMI distribution. RESULTS: Differences in mean BMI between the cohorts were small but emerged early and persisted in most cases across childhood. Girls in ALSPAC had a higher BMI than all other cohorts throughout childhood, e.g. compared with the NFBC1986 BMI was 2.2-3.5% higher. For boys, the difference emerging over time (comparing the two NFBC's) exceeded the differences across populations (comparing NFBC1986, ABC and ALSPAC). BMI distribution demonstrated increasing right skew with age. CONCLUSION: Population-level differences between cohorts were small, tended to emerge very early, persisted across childhood, and demonstrated an increase in the right-hand tail of the BMI distribution.

Published
2020
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6. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits.

Author

Vogelezang, S, Bradfield, JP, Ahluwalia, TS, Curtin, JA, Lakka, TA, Grarup, N, Scholz, M, van der Most, PJ, Monnereau, C, Stergiakouli, E, Heiskala, A, Horikoshi, M, Fedko, IO, Vilor-Tejedor, N, Cousminer, DL, Standl, M, Wang, CA, Viikari, J, Geller, F, Íñiguez, C, Pitkänen, N, Chesi, A, Bacelis, J, Yengo, L, Torrent, M, Ntalla, I, Helgeland, Ø, Selzam, S, Vonk, JM, Zafarmand, MH, Heude, B, Farooqi, IS, Alyass, A, Beaumont, RN, Have, CT, Rzehak, P, Bilbao, JR, Schnurr, TM, Barroso, I, Bønnelykke, K, Beilin, LJ, Carstensen, L, Charles, M-A, Chawes, B, Clément, K, Closa-Monasterolo, R, Custovic, A, Eriksson, JG, Escribano, J, Groen-Blokhuis, M, Grote, V, Gruszfeld, D, Hakonarson, H, Hansen, T, Hattersley, AT, Hollensted, M, Hottenga, J-J, Hyppönen, E, Johansson, S, Joro, R, Kähönen, M, Karhunen, V, Kiess, W, Knight, BA, Koletzko, B, Kühnapfel, A, Landgraf, K, Langhendries, J-P, Lehtimäki, T, Leinonen, JT, Li, A, Lindi, V, Lowry, E, Bustamante, M, Medina-Gomez, C, Melbye, M, Michaelsen, KF, Morgen, CS, Mori, TA, Nielsen, TRH, Niinikoski, H, Oldehinkel, AJ, Pahkala, K, Panoutsopoulou, K, Pedersen, O, Pennell, CE, Power, C, Reijneveld, SA, Rivadeneira, F, Simpson, A, Sly, Peter, Stokholm, J, Teo, KK, Thiering, E, Timpson, NJ, Uitterlinden, AG, van Beijsterveldt, CEM, van Schaik, BDC, Vaudel, M, Verduci, E, Vinding, RK, Vogel, M, Zeggini, E, Sebert, S, Lind, MV, Brown, CD, Santa-Marina, L, Reischl, E, Frithioff-Bøjsøe, C, Meyre, D, Wheeler, E, Ong, K, Nohr, EA, Vrijkotte, TGM, Koppelman, GH, Plomin, R, Njølstad, PR, Dedoussis, GD, Froguel, P, Sørensen, TIA, Jacobsson, B, Freathy, RM, Zemel, BS, Raitakari, O, Vrijheid, M, Feenstra, B, Lyytikäinen, L-P, Snieder, H, Kirsten, H, Holt, PG, Heinrich, J, Widén, E, Sunyer, J, Boomsma, DI, Järvelin, M-R, Körner, A, Davey Smith, G, Holm, J-C, Atalay, M, Murray, C, Bisgaard, H, McCarthy, MI, Early Growth Genetics Consortium, Jaddoe, VWV, Grant, SFA, Felix, JF, Vogelezang, S, Bradfield, JP, Ahluwalia, TS, Curtin, JA, Lakka, TA, Grarup, N, Scholz, M, van der Most, PJ, Monnereau, C, Stergiakouli, E, Heiskala, A, Horikoshi, M, Fedko, IO, Vilor-Tejedor, N, Cousminer, DL, Standl, M, Wang, CA, Viikari, J, Geller, F, Íñiguez, C, Pitkänen, N, Chesi, A, Bacelis, J, Yengo, L, Torrent, M, Ntalla, I, Helgeland, Ø, Selzam, S, Vonk, JM, Zafarmand, MH, Heude, B, Farooqi, IS, Alyass, A, Beaumont, RN, Have, CT, Rzehak, P, Bilbao, JR, Schnurr, TM, Barroso, I, Bønnelykke, K, Beilin, LJ, Carstensen, L, Charles, M-A, Chawes, B, Clément, K, Closa-Monasterolo, R, Custovic, A, Eriksson, JG, Escribano, J, Groen-Blokhuis, M, Grote, V, Gruszfeld, D, Hakonarson, H, Hansen, T, Hattersley, AT, Hollensted, M, Hottenga, J-J, Hyppönen, E, Johansson, S, Joro, R, Kähönen, M, Karhunen, V, Kiess, W, Knight, BA, Koletzko, B, Kühnapfel, A, Landgraf, K, Langhendries, J-P, Lehtimäki, T, Leinonen, JT, Li, A, Lindi, V, Lowry, E, Bustamante, M, Medina-Gomez, C, Melbye, M, Michaelsen, KF, Morgen, CS, Mori, TA, Nielsen, TRH, Niinikoski, H, Oldehinkel, AJ, Pahkala, K, Panoutsopoulou, K, Pedersen, O, Pennell, CE, Power, C, Reijneveld, SA, Rivadeneira, F, Simpson, A, Sly, Peter, Stokholm, J, Teo, KK, Thiering, E, Timpson, NJ, Uitterlinden, AG, van Beijsterveldt, CEM, van Schaik, BDC, Vaudel, M, Verduci, E, Vinding, RK, Vogel, M, Zeggini, E, Sebert, S, Lind, MV, Brown, CD, Santa-Marina, L, Reischl, E, Frithioff-Bøjsøe, C, Meyre, D, Wheeler, E, Ong, K, Nohr, EA, Vrijkotte, TGM, Koppelman, GH, Plomin, R, Njølstad, PR, Dedoussis, GD, Froguel, P, Sørensen, TIA, Jacobsson, B, Freathy, RM, Zemel, BS, Raitakari, O, Vrijheid, M, Feenstra, B, Lyytikäinen, L-P, Snieder, H, Kirsten, H, Holt, PG, Heinrich, J, Widén, E, Sunyer, J, Boomsma, DI, Järvelin, M-R, Körner, A, Davey Smith, G, Holm, J-C, Atalay, M, Murray, C, Bisgaard, H, McCarthy, MI, Early Growth Genetics Consortium, Jaddoe, VWV, Grant, SFA, and Felix, JF

Abstract

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values <0.002). A negative genetic correlation of childhood BMI with age at menarche was observed. Our results suggest that the biological processes underlying childhood BMI largely, but not completely, overlap with those underlying adult BMI. The well-known observational associations of BMI in childhood with cardio-metabolic diseases in adulthood may reflect partial genetic overlap, but in light of previous evidence, it is also likely that they are explained through phenotypic continuity of BMI from childhood into adulthood.

Published
2020

7. DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies

Author

Vehmeijer, Florianne, Küpers, LK, Sharp, GC, Salas, LA, Lent, S, Jima, DD, Tindula, G, Reese, S, Qi, C, Gruzieva, O, Page, C, Rezwan, FI, Melton, PE, Nohr, E, Escaramís, G, Rzehak, P, Heiskala, A, Gong, T, Tuominen, ST, Gao, L, Ross, JP, Starling, AP, Holloway, JW, Yousefi, P, Aasvang, GM, Beilin, LJ, Bergström, A, Binder, E, Chatzi, L, Corpeleijn, E, Czamara, D, Eskenazi, B, Ewart, S, Ferre, N, Grote, V, Gruszfeld, D, Håberg, SE, Hoyo, C, Huen, K, Karlsson, R, Kull, I, Langhendries, J P, Lepeule, J, Magnus, MC, Maguire, RL, Molloy, PL, Monnereau, Claire, Mori, TA, Oken, E, Räikkönen, K, Rifas-Shiman, S, Ruiz-Arenas, C, Sebert, S, Ullemar, V, Verduci, E, Vonk, JM, Xu, CJ, Yang, IV, Zhang, H, Zhang, W, Karmaus, W, Dabelea, D, Muhlhausler, BS, Breton, CV, Lahti, J, Almqvist, C, Jarvelin, M R R, Koletzko, B, Vrijheid, M, Sørensen, TIA, Huang, RC, Arshad, SH, Nystad, W, Melén, E, Koppelman, GH, London, SJ, Holland, N, Bustamante, M, Murphy, SK, Hivert, MF, Baccarelli, A, Relton, CL, Snieder, H, Jaddoe, Vincent, Felix, Janine, Vehmeijer, Florianne, Küpers, LK, Sharp, GC, Salas, LA, Lent, S, Jima, DD, Tindula, G, Reese, S, Qi, C, Gruzieva, O, Page, C, Rezwan, FI, Melton, PE, Nohr, E, Escaramís, G, Rzehak, P, Heiskala, A, Gong, T, Tuominen, ST, Gao, L, Ross, JP, Starling, AP, Holloway, JW, Yousefi, P, Aasvang, GM, Beilin, LJ, Bergström, A, Binder, E, Chatzi, L, Corpeleijn, E, Czamara, D, Eskenazi, B, Ewart, S, Ferre, N, Grote, V, Gruszfeld, D, Håberg, SE, Hoyo, C, Huen, K, Karlsson, R, Kull, I, Langhendries, J P, Lepeule, J, Magnus, MC, Maguire, RL, Molloy, PL, Monnereau, Claire, Mori, TA, Oken, E, Räikkönen, K, Rifas-Shiman, S, Ruiz-Arenas, C, Sebert, S, Ullemar, V, Verduci, E, Vonk, JM, Xu, CJ, Yang, IV, Zhang, H, Zhang, W, Karmaus, W, Dabelea, D, Muhlhausler, BS, Breton, CV, Lahti, J, Almqvist, C, Jarvelin, M R R, Koletzko, B, Vrijheid, M, Sørensen, TIA, Huang, RC, Arshad, SH, Nystad, W, Melén, E, Koppelman, GH, London, SJ, Holland, N, Bustamante, M, Murphy, SK, Hivert, MF, Baccarelli, A, Relton, CL, Snieder, H, Jaddoe, Vincent, and Felix, Janine

Published
2020

12. Multicenter dizygotic twin cohort study confirms two linkage susceptibility loci for body mass index at 3q29 and 7q36 and identifies three further potential novel loci

Author

Kettunen, J, Perola, M, Martin, NG, Cornes, BK, Wilson, SG, Montgomery, GW, Benyamin, B, Harris, JR, Boomsma, D, Willemsen, G, Hottenga, J-J, Slagboom, PE, Christensen, K, Kyvik, KO, Sørensen, TIA, Pedersen, NL, Magnusson, PKE, Andrew, T, Spector, TD, Widen, E, Silventoinen, K, Kaprio, J, Palotie, A, and Peltonen, L

Published
2009
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16. 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

17. Association of Birth Weight With Type 2 Diabetes and Glycemic Traits: A Mendelian Randomization Study

Author

Universitat Rovira i Virgili, Huang T, Wang T, Zheng Y, Ellervik C, Li X, Gao M, Fang Z, Chai JF, Ahluwalia TVS, Wang Y, Voortman T, Noordam R, Frazier-Wood A, Scholz M, Sonestedt E, Akiyama M, Dorajoo R, Zhou A, Kilpeläinen TO, Kleber ME, Crozier SR, Godfrey KM, Lemaitre R, Felix JF, Shi Y, Gupta P, Khor CC, Lehtimäki T, Wang CA, Tiesler CMT, Thiering E, Standl M, Rzehak P, Marouli E, He M, Lecoeur C, Corella D, Lai CQ, Moreno LA, Pitkänen N, Boreham CA, Zhang T, Saw SM, Ridker PM, Graff M, van Rooij FJA, Uitterlinden AG, Hofman A, van Heemst D, Rosendaal FR, de Mutsert R, Burkhardt R, Schulz CA, Ericson U, Kamatani Y, Yuan JM, Power C, Hansen T, Sørensen TIA, Tjønneland A, Overvad K, Delgado G, Cooper C, Djousse L, Rivadeneira F, Jameson K, Zhao W, Liu J, Lee NR, Raitakari O, Kähönen M, Viikari J, Grote V, Langhendries JP, Koletzko B, Escribano J, Verduci E, Dedoussis G, Yu C, Tham YC, Lim B, Lim SH, Froguel P, Balkau B, Fink NR, Vinding RK, Sevelsted A, Bisgaard H, Coltell O, Dallongeville J, Gottrand F, Pahkala K, Niinikoski H, Hyppönen E, Pedersen O, März W, Inskip H, Jaddoe VWV, Dennison E, Wong TY, Sabanayagam C, Tai ES, Mohlke KL, Mackey DA, Gruszfeld D, Deloukas P, Tucker KL, Fumeron F, Bønnelykke K, Rossing P, Estruch R, Ordovas JM, Arnett DK, Meirhaeghe A, Amouyel P, Cheng CY, Sim X, Teo YY, van Dam RM, Koh WP, Orho-Melander M, Loeffler M, Kubo M, Thiery J, Mook-Kanamori DO, Mozaffarian D, Psaty BM, Franco OH, Wu T, North KE, Davey Smith G, Chavarro JE, Chasman DI, Qi L BIRTH-GENE (BIG) Study Working Group, Universitat Rovira i Virgili, and Huang T, Wang T, Zheng Y, Ellervik C, Li X, Gao M, Fang Z, Chai JF, Ahluwalia TVS, Wang Y, Voortman T, Noordam R, Frazier-Wood A, Scholz M, Sonestedt E, Akiyama M, Dorajoo R, Zhou A, Kilpeläinen TO, Kleber ME, Crozier SR, Godfrey KM, Lemaitre R, Felix JF, Shi Y, Gupta P, Khor CC, Lehtimäki T, Wang CA, Tiesler CMT, Thiering E, Standl M, Rzehak P, Marouli E, He M, Lecoeur C, Corella D, Lai CQ, Moreno LA, Pitkänen N, Boreham CA, Zhang T, Saw SM, Ridker PM, Graff M, van Rooij FJA, Uitterlinden AG, Hofman A, van Heemst D, Rosendaal FR, de Mutsert R, Burkhardt R, Schulz CA, Ericson U, Kamatani Y, Yuan JM, Power C, Hansen T, Sørensen TIA, Tjønneland A, Overvad K, Delgado G, Cooper C, Djousse L, Rivadeneira F, Jameson K, Zhao W, Liu J, Lee NR, Raitakari O, Kähönen M, Viikari J, Grote V, Langhendries JP, Koletzko B, Escribano J, Verduci E, Dedoussis G, Yu C, Tham YC, Lim B, Lim SH, Froguel P, Balkau B, Fink NR, Vinding RK, Sevelsted A, Bisgaard H, Coltell O, Dallongeville J, Gottrand F, Pahkala K, Niinikoski H, Hyppönen E, Pedersen O, März W, Inskip H, Jaddoe VWV, Dennison E, Wong TY, Sabanayagam C, Tai ES, Mohlke KL, Mackey DA, Gruszfeld D, Deloukas P, Tucker KL, Fumeron F, Bønnelykke K, Rossing P, Estruch R, Ordovas JM, Arnett DK, Meirhaeghe A, Amouyel P, Cheng CY, Sim X, Teo YY, van Dam RM, Koh WP, Orho-Melander M, Loeffler M, Kubo M, Thiery J, Mook-Kanamori DO, Mozaffarian D, Psaty BM, Franco OH, Wu T, North KE, Davey Smith G, Chavarro JE, Chasman DI, Qi L BIRTH-GENE (BIG) Study Working Group

Abstract

Importance: Observational studies have shown associations of birth weight with type 2 diabetes (T2D) and glycemic traits, but it remains unclear whether these associations represent causal associations. Objective: To test the association of birth weight with T2D and glycemic traits using a mendelian randomization analysis. Design, Setting, and Participants: This mendelian randomization study used a genetic risk score for birth weight that was constructed with 7 genome-wide significant single-nucleotide polymorphisms. The associations of this score with birth weight and T2D were tested in a mendelian randomization analysis using study-level data. The association of birth weight with T2D was tested using both study-level data (7 single-nucleotide polymorphisms were used as an instrumental variable) and summary-level data from the consortia (43 single-nucleotide polymorphisms were used as an instrumental variable). Data from 180 056 participants from 49 studies were included. Main Outcomes and Measures: Type 2 diabetes and glycemic traits. Results: This mendelian randomization analysis included 49 studies with 41 155 patients with T2D and 80 008 control participants from study-level data and 34 840 patients with T2D and 114 981 control participants from summary-level data. Study-level data showed that a 1-SD decrease in birth weight due to the genetic risk score was associated with higher risk of T2D among all participants (odds ratio [OR], 2.10; 95% CI, 1.69-2.61; P = 4.03 × 10-5), among European participants (OR, 1.96; 95% CI, 1.42-2.71; P = .04), and among East Asian participants (OR, 1.39; 95% CI, 1.18-1.62; P = .04). Similar results were observed from summary-level analyses. In addition, each 1-SD lower birth weight was associated with 0.189 SD higher fasting glucose

Published
2019

19. 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

22. Body mass index trajectories from 2 to 18 years - exploring differences between European cohorts

Author

Graversen, L, Howe, LD, Sørensen, TIA, Sovio, U, Hohwü, L, Tilling, K, Laitinen, J, Taanila, A, Pouta, A, Järvelin, M-R, Obel, C, Sovio, Ulla [0000-0002-0799-1105], and Apollo - University of Cambridge Repository

Subjects
Male, Parents, child, Pediatric Obesity, Adolescent, ALSPAC, Scandinavian and Nordic Countries, United Kingdom, White People, Body Mass Index, BMI, cohort studies, Pregnancy, Child, Preschool, Ethnicity, Prevalence, Humans, Female, Longitudinal Studies
Abstract

BACKGROUND: In recent decades, there has been an increase in the prevalence of childhood overweight in most high-income countries. Within northern Europe, prevalence tends to be higher in the UK compared with the Scandinavian countries. We aimed to study differences in body mass index (BMI) trajectories between large cohorts of children from UK and Scandinavian populations. METHODS: We compared BMI trajectories in participants from the English Avon Longitudinal Study of Parents and Children born in 1991-1993 (ALSPAC) (N = 6517), the Northern Finland Birth Cohorts born in 1966 (NFBC1966) (N = 3321) and 1986 (NFBC1986) (N = 4764), and the Danish Aarhus Birth Cohort born in 1990-1992 (ABC) (N = 1920). We used multilevel models to estimate BMI trajectories from 2 to 18 years. We explored whether cohort differences were explained by maternal BMI, height, education or smoking during pregnancy and whether differences were attributable to changes in the degree of skew in the BMI distribution. RESULTS: Differences in mean BMI between the cohorts were small but emerged early and persisted in most cases across childhood. Girls in ALSPAC had a higher BMI than all other cohorts throughout childhood, e.g. compared with the NFBC1986 BMI was 2.2-3.5% higher. For boys, the difference emerging over time (comparing the two NFBC's) exceeded the differences across populations (comparing NFBC1986, ABC and ALSPAC). BMI distribution demonstrated increasing right skew with age. CONCLUSION: Population-level differences between cohorts were small, tended to emerge very early, persisted across childhood, and demonstrated an increase in the right-hand tail of the BMI distribution.

Published
2017

23. Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.

Author

Graff, M., Scott, R.A., Justice, A.E., Young, K.L., Feitosa, M.F., Barata, L., Winkler, T.W., Chu, A.Y., Mahajan, A., Hadley, D., Xue, L., Workalemahu, T., Heard-Costa, N.L., den Hoed, M., Ahluwalia, T.S., Qi, Q., Ngwa, J.S., Renström, F., Quaye, L., Eicher, J.D., Hayes, J.E., Cornelis, M., Kutalik, Z., Lim, E., Luan, J., Huffman, J.E., Zhang, W., Zhao, W., Griffin, P.J., Haller, T., Ahmad, S., Marques-Vidal, P.M., Bien, S., Yengo, L., Teumer, A., Smith, A.V., Kumari, M., Harder, M.N., Justesen, J.M., Kleber, M.E., Hollensted, M., Lohman, K., Rivera, N.V., Whitfield, J.B., Zhao, J.H., Stringham, H.M., Lyytikäinen, L.P., Huppertz, C., Willemsen, G., Peyrot, W.J., Wu, Y., Kristiansson, K., Demirkan, A., Fornage, M., Hassinen, M., Bielak, L.F., Cadby, G., Tanaka, T., Mägi, R., van der Most, P.J., Jackson, A.U., Bragg-Gresham, J.L., Vitart, V., Marten, J., Navarro, P., Bellis, C., Pasko, D., Johansson, Å., Snitker, S., Cheng, Y.C., Eriksson, J., Lim, U., Aadahl, M., Adair, L.S., Amin, N., Balkau, B., Auvinen, J., Beilby, J., Bergman, R.N., Bergmann, S., Bertoni, A.G., Blangero, J., Bonnefond, A., Bonnycastle, L.L., Borja, J.B., Brage, S., Busonero, F., Buyske, S., Campbell, H., Chines, P.S., Collins, F.S., Corre, T., Smith, G.D., Delgado, G.E., Dueker, N., Dörr, M., Ebeling, T., Eiriksdottir, G., Esko, T., Faul, J.D., Fu, M., Færch, K., Gieger, C., Gläser, S., Gong, J., Gordon-Larsen, P., Grallert, H., Grammer, T.B., Grarup, N., van Grootheest, G., Harald, K., Hastie, N.D., Havulinna, A.S., Hernandez, D., Hindorff, L., Hocking, L.J., Holmens, O.L., Holzapfel, C., Hottenga, J.J., Huang, J., Huang, T., Hui, J., Huth, C., Hutri-Kähönen, N., James, A.L., Jansson, J.O., Jhun, M.A., Juonala, M., Kinnunen, L., Koistinen, H.A., Kolcic, I., Komulainen, P., Kuusisto, J., Kvaløy, K., Kähönen, M., Lakka, T.A., Launer, L.J., Lehne, B., Lindgren, C.M., Lorentzon, M., Luben, R., Marre, M., Milaneschi, Y., Monda, K.L., Montgomery, G.W., De Moor, MHM, Mulas, A., Müller-Nurasyid, M., Musk, A.W., Männikkö, R., Männistö, S., Narisu, N., Nauck, M., Nettleton, J.A., Nolte, I.M., Oldehinkel, A.J., Olden, M., Ong, K.K., Padmanabhan, S., Paternoster, L., Perez, J., Perola, M., Peters, A., Peters, U., Peyser, P.A., Prokopenko, I., Puolijoki, H., Raitakari, O.T., Rankinen, T., Rasmussen-Torvik, L.J., Rawal, R., Ridker, P.M., Rose, L.M., Rudan, I., Sarti, C., Sarzynski, M.A., Savonen, K., Scott, W.R., Sanna, S., Shuldiner, A.R., Sidney, S., Silbernagel, G., Smith, B.H., Smith, J.A., Snieder, H., Stančáková, A., Sternfeld, B., Swift, A.J., Tammelin, T., Tan, S.T., Thorand, B., Thuillier, D., Vandenput, L., Vestergaard, H., van Vliet-Ostaptchouk, J.V., Vohl, M.C., Völker, U., Waeber, G., Walker, M., Wild, S., Wong, A., Wright, A.F., Zillikens, M.C., Zubair, N., Haiman, C.A., Lemarchand, L., Gyllensten, U., Ohlsson, C., Hofman, A., Rivadeneira, F., Uitterlinden, A.G., Pérusse, L., Wilson, J.F., Hayward, C., Polasek, O., Cucca, F., Hveem, K., Hartman, C.A., Tönjes, A., Bandinelli, S., Palmer, L.J., Kardia, SLR, Rauramaa, R., Sørensen, TIA, Tuomilehto, J., Salomaa, V., Penninx, BWJH, de Geus, EJC, Boomsma, D.I., Lehtimäki, T., Mangino, M., Laakso, M., Bouchard, C., Martin, N.G., Kuh, D., Liu, Y., Linneberg, A., März, W., Strauch, K., Kivimäki, M., Harris, T.B., Gudnason, V., Völzke, H., Qi, L., Järvelin, M.R., Chambers, J.C., Kooner, J.S., Froguel, P., Kooperberg, C., Vollenweider, P., Hallmans, G., Hansen, T., Pedersen, O., Metspalu, A., Wareham, N.J., Langenberg, C., Weir, D.R., Porteous, D.J., Boerwinkle, E., Chasman, D.I., CHARGE, Consortium, EPIC-InterAct, Consortium, PAGE, Consortium, Abecasis, G.R., Barroso, I., McCarthy, M.I., Frayling, T.M., O'Connell, J.R., van Duijn, C.M., Boehnke, M., Heid, I.M., Mohlke, K.L., Strachan, D.P., Fox, C.S., Liu, C.T., Hirschhorn, J.N., Klein, R.J., Johnson, A.D., Borecki, I.B., Franks, P.W., North, K.E., Cupples, L.A., Loos, RJF, Kilpeläinen, T.O., Graff, M., Scott, R.A., Justice, A.E., Young, K.L., Feitosa, M.F., Barata, L., Winkler, T.W., Chu, A.Y., Mahajan, A., Hadley, D., Xue, L., Workalemahu, T., Heard-Costa, N.L., den Hoed, M., Ahluwalia, T.S., Qi, Q., Ngwa, J.S., Renström, F., Quaye, L., Eicher, J.D., Hayes, J.E., Cornelis, M., Kutalik, Z., Lim, E., Luan, J., Huffman, J.E., Zhang, W., Zhao, W., Griffin, P.J., Haller, T., Ahmad, S., Marques-Vidal, P.M., Bien, S., Yengo, L., Teumer, A., Smith, A.V., Kumari, M., Harder, M.N., Justesen, J.M., Kleber, M.E., Hollensted, M., Lohman, K., Rivera, N.V., Whitfield, J.B., Zhao, J.H., Stringham, H.M., Lyytikäinen, L.P., Huppertz, C., Willemsen, G., Peyrot, W.J., Wu, Y., Kristiansson, K., Demirkan, A., Fornage, M., Hassinen, M., Bielak, L.F., Cadby, G., Tanaka, T., Mägi, R., van der Most, P.J., Jackson, A.U., Bragg-Gresham, J.L., Vitart, V., Marten, J., Navarro, P., Bellis, C., Pasko, D., Johansson, Å., Snitker, S., Cheng, Y.C., Eriksson, J., Lim, U., Aadahl, M., Adair, L.S., Amin, N., Balkau, B., Auvinen, J., Beilby, J., Bergman, R.N., Bergmann, S., Bertoni, A.G., Blangero, J., Bonnefond, A., Bonnycastle, L.L., Borja, J.B., Brage, S., Busonero, F., Buyske, S., Campbell, H., Chines, P.S., Collins, F.S., Corre, T., Smith, G.D., Delgado, G.E., Dueker, N., Dörr, M., Ebeling, T., Eiriksdottir, G., Esko, T., Faul, J.D., Fu, M., Færch, K., Gieger, C., Gläser, S., Gong, J., Gordon-Larsen, P., Grallert, H., Grammer, T.B., Grarup, N., van Grootheest, G., Harald, K., Hastie, N.D., Havulinna, A.S., Hernandez, D., Hindorff, L., Hocking, L.J., Holmens, O.L., Holzapfel, C., Hottenga, J.J., Huang, J., Huang, T., Hui, J., Huth, C., Hutri-Kähönen, N., James, A.L., Jansson, J.O., Jhun, M.A., Juonala, M., Kinnunen, L., Koistinen, H.A., Kolcic, I., Komulainen, P., Kuusisto, J., Kvaløy, K., Kähönen, M., Lakka, T.A., Launer, L.J., Lehne, B., Lindgren, C.M., Lorentzon, M., Luben, R., Marre, M., Milaneschi, Y., Monda, K.L., Montgomery, G.W., De Moor, MHM, Mulas, A., Müller-Nurasyid, M., Musk, A.W., Männikkö, R., Männistö, S., Narisu, N., Nauck, M., Nettleton, J.A., Nolte, I.M., Oldehinkel, A.J., Olden, M., Ong, K.K., Padmanabhan, S., Paternoster, L., Perez, J., Perola, M., Peters, A., Peters, U., Peyser, P.A., Prokopenko, I., Puolijoki, H., Raitakari, O.T., Rankinen, T., Rasmussen-Torvik, L.J., Rawal, R., Ridker, P.M., Rose, L.M., Rudan, I., Sarti, C., Sarzynski, M.A., Savonen, K., Scott, W.R., Sanna, S., Shuldiner, A.R., Sidney, S., Silbernagel, G., Smith, B.H., Smith, J.A., Snieder, H., Stančáková, A., Sternfeld, B., Swift, A.J., Tammelin, T., Tan, S.T., Thorand, B., Thuillier, D., Vandenput, L., Vestergaard, H., van Vliet-Ostaptchouk, J.V., Vohl, M.C., Völker, U., Waeber, G., Walker, M., Wild, S., Wong, A., Wright, A.F., Zillikens, M.C., Zubair, N., Haiman, C.A., Lemarchand, L., Gyllensten, U., Ohlsson, C., Hofman, A., Rivadeneira, F., Uitterlinden, A.G., Pérusse, L., Wilson, J.F., Hayward, C., Polasek, O., Cucca, F., Hveem, K., Hartman, C.A., Tönjes, A., Bandinelli, S., Palmer, L.J., Kardia, SLR, Rauramaa, R., Sørensen, TIA, Tuomilehto, J., Salomaa, V., Penninx, BWJH, de Geus, EJC, Boomsma, D.I., Lehtimäki, T., Mangino, M., Laakso, M., Bouchard, C., Martin, N.G., Kuh, D., Liu, Y., Linneberg, A., März, W., Strauch, K., Kivimäki, M., Harris, T.B., Gudnason, V., Völzke, H., Qi, L., Järvelin, M.R., Chambers, J.C., Kooner, J.S., Froguel, P., Kooperberg, C., Vollenweider, P., Hallmans, G., Hansen, T., Pedersen, O., Metspalu, A., Wareham, N.J., Langenberg, C., Weir, D.R., Porteous, D.J., Boerwinkle, E., Chasman, D.I., CHARGE, Consortium, EPIC-InterAct, Consortium, PAGE, Consortium, Abecasis, G.R., Barroso, I., McCarthy, M.I., Frayling, T.M., O'Connell, J.R., van Duijn, C.M., Boehnke, M., Heid, I.M., Mohlke, K.L., Strachan, D.P., Fox, C.S., Liu, C.T., Hirschhorn, J.N., Klein, R.J., Johnson, A.D., Borecki, I.B., Franks, P.W., North, K.E., Cupples, L.A., Loos, RJF, and Kilpeläinen, T.O.

Abstract

[This corrects the article DOI: 10.1371/journal.pgen.1006528.].

Published
2017

24. Is it acceptable to use animals to model obese humans? - A critical discussion of two arguments against the use of animals in obesity research

Author

Lund, TB, Sørensen, TIA, Olsson, IAS, Hansen, AK, and Sandøe, P

Subjects
Animal Experimentation, Ethics, Disease Models, Animals, humanities
Abstract

Animal use in medical research is widely accepted on the basis that it may help to save human lives and improve their quality. Recently, however, objections have been made specifically to the use of animals in scientific investigation of human obesity. This paper discusses two arguments for the view that this form of animal use, unlike some other forms of animal-based medical research, cannot be defended. The first argument leans heavily on the notion that people themselves are responsible for developing obesity and so-called ‘lifestyle’ diseases; the second involves the claim that animal studies of obesity’s causes and therapies distract attention from preventive efforts. Drawing on both empirical data and moral reasoning, we argue that the relevant attributions of responsibility and claims about distraction are not plausible, and that therefore there is no reason to single out the use of animals in obesity research as especially problematic.

Published
2014

25. Association of vitamin D status with arterial blood pressure and hypertension risk: A mendelian randomisation study

Author

Vimaleswaran, Kerani S., Cavadino, Alana, Berry, Diane J., Jorde, Rolf, Grimnes, Guri, Dieffenbach, Aida Karina, Lu, Chen, Alves, Alexessander Couto, Heerspink, Hiddo J. Lambers, Tikkanen, Emmi, Eriksson, Joel, Wong, Andrew, Mangino, Massimo, Jablonski, Kathleen A., Nolte, Ilja M., Houston, Denise K., Ahluwalia, Tarunveer Singh, van der Most, Peter J., Pasko, Dorota, Zgaga, Lina, Thiering, Elisabeth, Schöttker, B, Saum, KU, Brenner, H, Järvelin, MR, Tzoulaki, I, Snieder, H, Stolk, RP, Hartman, CA, de Boer, RA, van der Harst, P, Navis, G, de Borst, MH, Lorentzon, M, Mellström, D, Ohlsson, C, Hardy, R, Kuh, D, Cooper, JA, Acharya, J, Humphries, SE, Hingorani, AD, Kumari, M, Kivimaki, M, Spector, TD, Kritchevsky, SB, Lohman, KK, Sørensen, TIA, Frayling, TM, Campbell, H, Theodoratou, E, Fraser, RM, Wilson, JF, Rudan, I, Price, JF, McLachlan, S, Vitart, V, Navarro, P, Huffman, JE, Hayward, C, Wright, AF, Tiesler, CMT, Heinrich, J, McCarthy, MI, Ingelsson, E, Arden, N, Cooper, C, Dupuis, J, Herzig, KH, Sebert, S, Pouta, A, Laitinen, J, Kleber, ME, März, W, Jameson, K, Osmond, C, Raitakari, O, Ripatti, S, Lahti, J, Eriksson, JG, Penninx, BW, Billings, LK, Florez, JC, Rejnmark, L, Langdahl, BL, Paternoster, L, Hernandez, DG, Byberg, L, Michaelsson, K, Hagström, E, Melhus, H, Ljunggren, O, Lind, L, Jula, A, Polasek, O, Salomaa, V, Karlsson, M, Bandinelli, S, Lehtimäki, T, Wang, TJ, Pilz, S, and Whittaker, JC

Abstract

Background Low plasma 25-hydroxyvitamin D (25[OH]D) concentration is associated with high arterial blood pressure and hypertension risk, but whether this association is causal is unknown. We used a mendelian randomisation approach to test whether 25(OH)D concentration is causally associated with blood pressure and hypertension risk. Methods In this mendelian randomisation study, we generated an allele score (25[OH]D synthesis score) based on variants of genes that aff ect 25(OH)D synthesis or substrate availability (CYP2R1 and DHCR7), which we used as a proxy for 25(OH)D concentration. We meta-analysed data for up to 108 173 individuals from 35 studies in the D-CarDia collaboration to investigate associations between the allele score and blood pressure measurements. We complemented these analyses with previously published summary statistics from the International Consortium on Blood Pressure (ICBP), the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and the Global Blood Pressure Genetics (Global BPGen) consortium. Findings In phenotypic analyses (up to n=49 363), increased 25(OH)D concentration was associated with decreased systolic blood pressure (β per 10% increase, –0·12 mm Hg, 95% CI –0·20 to –0·04; p=0·003) and reduced odds of hypertension (odds ratio [OR] 0·98, 95% CI 0·97–0·99; p=0·0003), but not with decreased diastolic blood pressure (β per 10% increase, –0·02 mm Hg, –0·08 to 0·03; p=0·37). In meta-analyses in which we combined data from D-CarDia and the ICBP (n=146 581, after exclusion of overlapping studies), each 25(OH)D-increasing allele of the synthesis score was associated with a change of –0·10 mm Hg in systolic blood pressure (–0·21 to –0·0001; p=0·0498) and a change of –0·08 mm Hg in diastolic blood pressure (–0·15 to –0·02; p=0·01). When D-CarDia and consortia data for hypertension were meta-analysed together (n=142 255), the synthesis score was associated with a reduced odds of hypertension (OR per allele, 0·98, 0·96–0·99; p=0·001). In instrumental variable analysis, each 10% increase in genetically instrumented 25(OH)D concentration was associated with a change of –0·29 mm Hg in diastolic blood pressure (–0·52 to –0·07; p=0·01), a change of –0·37 mm Hg in systolic blood pressure (–0·73 to 0·003; p=0·052), and an 8·1% decreased odds of hypertension (OR 0·92, 0·87–0·97; p=0·002). Interpretation Increased plasma concentrations of 25(OH)D might reduce the risk of hypertension. This fi nding warrants further investigation in an independent, similarly powered study.

Published
2014

27. Genome-wide association study identifies four loci associated with eruption of permanent teeth

Author

Geller, F, Feenstra, B, Zhang, H, Shaffer, JR, Hansen, T, Esserlind, AL, Boyd, HA, Nohr, EA, Timpson, NJ, Fatemifar, G, Paternoster, L, Evans, DM, Weyant, RJ, Levy, SM, Lathrop, M, Da Smith, G, Murray, JC, Olesen, J, Werge, T, Marazita, ML, Sørensen, TIA, and Melbye, M

Subjects
Male, Genotype, Adolescent, Denmark, HMGA2 Protein, Membrane Proteins, Peroxisomal Biogenesis Factor 2, Polymorphism, Single Nucleotide, United States, Tooth Eruption, Cohort Studies, Humans, Female, Tooth, Deciduous, Child, Alleles, Developmental Biology, Genome-Wide Association Study
Abstract

The sequence and timing of permanent tooth eruption is thought to be highly heritable and can have important implications for the risk of malocclusion, crowding, and periodontal disease. We conducted a genome-wide association study of number of permanent teeth erupted between age 6 and 14 years, analyzed as age-adjusted standard deviation score averaged over multiple time points, based on childhood records for 5,104 women from the Danish National Birth Cohort. Four loci showed association at P

Published
2011

30. Prenatal exposures to perfluorinated chemicals and anthropometry at 7 years of age.

Author

Andersen, CS, Fei, C, Gamborg, M, Nohr, EA, Sørensen, TIA, Olsen, J, Andersen, CS, Fei, C, Gamborg, M, Nohr, EA, Sørensen, TIA, and Olsen, J

Abstract

Fetal exposure to the perfluoroalkyl acids, perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA), has been associated with lower birth weight and lower weight and body mass index (weight (kg)/height (m)(2)) in early infancy. It is, however, unclear if exposure to prenatal PFOS and PFOA has a lasting influence on growth. We estimated the associations between the maternal plasma level of PFOS or PFOA and the children's body mass index, waist circumference, and risk of overweight at 7 years of age. A total of 1,400 women were randomly selected from the Danish National Birth Cohort among those who provided blood samples early in pregnancy and gave birth to liveborn singletons in 1996-2002. Weight and height information at 7 years was available for 811 children. Multiple linear and logistic regression models were used for analyses. Maternal PFOS and PFOA concentrations were overall inversely but nonsignificantly associated with the children's body mass index, waist circumference, and risk of overweight at 7 years of age. In conclusion, plasma levels of PFOS and PFOA in pregnant women did not seem to have any appreciable influence on their children's anthropometry at this point in childhood.

Published
2013

31. Maternal Recreational Exercise during Pregnancy in relation to Children's BMI at 7 Years of Age.

Author

Schou Andersen, C, Juhl, M, Gamborg, M, Sørensen, TIA, Nohr, EA, Schou Andersen, C, Juhl, M, Gamborg, M, Sørensen, TIA, and Nohr, EA

Abstract

Exposures during fetal life may have long-term health consequences including risk of childhood overweight. We investigated the associations between maternal recreational exercise during early and late pregnancy and the children's body mass index (BMI) and risk of overweight at 7 years. Data on 40,280 mother-child pairs from the Danish National Birth Cohort was used. Self-reported information about exercise was obtained from telephone interviews around gestational weeks 16 and 30. Children's weight and height were reported in a 7-year follow-up and used to calculate BMI and overweight status. Data was analyzed using multiple linear and logistic regression models. Recreational exercise across pregnancy was inversely related to children's BMI and risk of overweight, but all associations were mainly explained by smoking habits, socioeconomic status, and maternal pre-pregnancy BMI. Additionally, we did not find exercise intensity or changes in exercise habits in pregnancy related to the children's BMI or risk of overweight.

Published
2012

32. Maternal distress during pregnancy and offspring childhood overweight

Author

Ingstrup, KG, Schou Andersen, C, Ajslev, TA, Pedersen, P, Sørensen, TIA, Nohr, EA, Ingstrup, KG, Schou Andersen, C, Ajslev, TA, Pedersen, P, Sørensen, TIA, and Nohr, EA

Abstract

Background. Maternal distress during pregnancy increases the intrauterine level of glucocorticoids, which may have long-term health consequences for the child. Objective. To examine if distress as a combined measure of anxiety, depression, and stress of the mother during pregnancy was associated with offspring childhood overweight at age 7. Methods. We performed a cohort study using prospective data from 37,764 women and child dyads from the Danish National Birth Cohort (1996-2002). At a telephone interview at approximately 30 weeks gestation, the women reported whether they felt anxious, depressed, or stressed. The 95 percentile for body mass index in an international reference defined childhood overweight at any given age. Logistic regression was used for the analyses. Results. The prevalence of overweight children at 7 years of age was 9.9. Prenatal exposure to maternal distress during pregnancy was not associated with childhood overweight at 7 years of age (adjusted OR 1.06 (95 CI 0.96; 1.18)). In analyses stratified on sex, a small tendency of overweight was seen in boys (OR 1.15 (0.99; 1.33)), but not in girls (OR 0.98 (0.85; 1.13)). Conclusions. Maternal distress during pregnancy appeared to have limited, if any, influence on the risk of overweight in offspring at 7 years of age. © 2012 Katja Glejsted Ingstrup et al.

Published
2012

33. Genetic variation in the 15q25 nicotinic acetylcholine receptor gene cluster (CHRNA5- CHRNA3-CHRNB4) interacts with maternal selfreported smoking status during pregnancy to influence birth weight

Author

Tyrrell, J, Huikari, V, Christie, JT, Cavadino, A, Bakker, R, Brion, MJA, Geller, F, Paternoster, L, Myhre, R, Potter, C, Johnson, PCD, Ebrahim, S, Feenstra, B, Hartikainen, AL, Hattersley, AT, Hofman, A, Kaakinen, M, Lowe, LP, Magnus, P, McConnachie, A, Melbye, M, Ng, JWY, Nohr, EA, Power, C, Ring, SM, Sebert, SP, Sengpiel, V, Taal, HR, Watt, GCM, Sattar, N, Relton, CL, Jacobsson, B, Frayling, TM, Sørensen, TIA, Murray, JC, Lawlor, DA, Pennell, CE, Jaddoe, VWV, Hypponen, E, Lowe, WL, Jarvelin, MR, Smith, GD, Freathy, RM, Tyrrell, J, Huikari, V, Christie, JT, Cavadino, A, Bakker, R, Brion, MJA, Geller, F, Paternoster, L, Myhre, R, Potter, C, Johnson, PCD, Ebrahim, S, Feenstra, B, Hartikainen, AL, Hattersley, AT, Hofman, A, Kaakinen, M, Lowe, LP, Magnus, P, McConnachie, A, Melbye, M, Ng, JWY, Nohr, EA, Power, C, Ring, SM, Sebert, SP, Sengpiel, V, Taal, HR, Watt, GCM, Sattar, N, Relton, CL, Jacobsson, B, Frayling, TM, Sørensen, TIA, Murray, JC, Lawlor, DA, Pennell, CE, Jaddoe, VWV, Hypponen, E, Lowe, WL, Jarvelin, MR, Smith, GD, and Freathy, RM

Abstract

Maternal smoking during pregnancy is associated with low birth weight. Common variation at rs1051730 is robustly associated with smoking quantity and was recently shown to influence smoking cessation during pregnancy, but its influence on birth weight is not clear. We aimed to investigate the association between this variant and birth weight of term, singleton offspring in a well-powered meta-analysis. We stratified 26 241 European origin study participants by smoking status (women who smoked during pregnancy versus women who did not smoke during pregnancy) and, in each stratum, analysed the association between maternal rs1051730 genotype and offspring birth weight. There was evidence of interaction between genotype and smoking (P 5 0.007). In women who smoked during pregnancy, each additional smoking-related T-allele was associated with a 20 g [95% confidence interval (95% CI): 4-36 g] lower birth weight (P 5 0.014). However, in women who did not smoke during pregnancy, the effect size estimate was 5 g per T-allele (95% CI: 24 to 14 g; P 5 0.268). To conclude, smoking status during pregnancy modifies the association between maternal rs1051730 genotype and offspring birth weight. This strengthens the evidence that smoking during pregnancy is causally related to lower offspring birth weight and suggests that population interventions that effectively reduce smoking in pregnant women would result in a reduced prevalence of low birth weight. © The Author 2012. Published by Oxford University Press. All rights reserved.

Published
2012

34. Influence of psychosocial factors on postpartum weight retention

Author

Pedersen, P, Baker, JL, Henriksen, TB, Lissner, L, Heitmann, BL, Sørensen, TIA, Nohr, EA, Pedersen, P, Baker, JL, Henriksen, TB, Lissner, L, Heitmann, BL, Sørensen, TIA, and Nohr, EA

Abstract

For some women, pregnancy may increase the risk of future obesity with consequences for health and well-being. Psychosocial factors may be partly responsible for this. The aim of this study was to examine the association between psychosocial factors during pregnancy and postpartum weight retention (PPWR) at 6 and 18 months. A total of 37,127 women in The Danish National Birth Cohort (DNBC; 1996-2002) participated in four telephone interviews before and after delivery. They gave information about their experience of distress, depression and anxiety, social support, and psychosocial burdens during pregnancy. PPWR was defined as retention ≥5 kg at 6 and 18 months postpartum according to a woman's prepregnancy weight. The associations were examined by use of logistic regression and presented as odds radios with 95% confidence intervals. Women who were more likely to feel depressed/anxious or distressed during pregnancy had a higher risk of PPWR at 6 months (1.35 (1.27; 1.44) and 1.30 (1.22; 1.38)) and 18 months (1.34 (1.24; 1.45) and 1.32 (1.23; 1.42)). Likewise, women who felt burdened by their economy or working situation had a higher risk of PPWR as did women with the lowest incomes or less education. Women who reported a high level of distress or depression/anxiety both during pregnancy and in the first 6 months of motherhood had the highest risk of PPWR 18 months postpartum (1.54 (1.39; 1.71) and 1.49 (1.32; 1.69), respectively). Feeling distressed, depressed, or anxious during pregnancy was associated with higher PPWR as was personal and economical burdens. Adverse psychosocial characteristics may be a common determinant of weight retention after childbirth. © 2010 The Obesity Society.

Published
2011

35. Birth weight in relation to leisure time physical activity in adolescence and adulthood: Meta-analysis of results from 13 nordic cohorts

Author

Andersen, LG, Ängquist, L, Gamborg, M, Byberg, L, Bengtsson, C, Canoy, D, Eriksson, JG, Eriksson, M, Jarvelin, MR, Lissner, L, Nilsen, TI, Osler, M, Overvad, K, Rasmussen, F, Salonen, MK, Schack-Nielsen, L, Tammelin, TH, Tuomainen, TP, SØrensen, TIA, Baker, JL, Andersen, LG, Ängquist, L, Gamborg, M, Byberg, L, Bengtsson, C, Canoy, D, Eriksson, JG, Eriksson, M, Jarvelin, MR, Lissner, L, Nilsen, TI, Osler, M, Overvad, K, Rasmussen, F, Salonen, MK, Schack-Nielsen, L, Tammelin, TH, Tuomainen, TP, SØrensen, TIA, and Baker, JL

Abstract

Background: Prenatal life exposures, potentially manifested as altered birth size, may influence the later risk of major chronic diseases through direct biologic effects on disease processes, but also by modifying adult behaviors such as physical activity that may influence later disease risk. Methods/Principal Findings: We investigated the association between birth weight and leisure time physical activity (LTPA) in 43,482 adolescents and adults from 13 Nordic cohorts. Random effects meta-analyses were performed on categorical estimates from cohort-, age-, sex- and birth weight specific analyses. Birth weight showed a reverse U-shaped association with later LTPA; within the range of normal weight the association was negligible but weights below and above this range were associated with a lower probability of undertaking LTPA. Compared with the reference category (3.26-3.75 kg), the birth weight categories of 1.26-1.75, 1.76-2.25, 2.26-2.75, and 4.76-5.25 kg, had odds ratios of 0.67 (95% confidence interval: 0.47, 0.94), 0.72 (0.59, 0.88), 0.89 (0.79, 0.99), and 0.65 (0.50, 0.86), respectively. The shape and strength of the birth weight-LTPA association was virtually independent of sex, age, gestational age, educational level, concurrent body mass index, and smoking. Conclusions/Significance: The association between birth weight and undertaking LTPA is very weak within the normal birth weight range, but both low and high birth weights are associated with a lower probability of undertaking LTPA, which hence may be a mediator between prenatal influences and later disease risk. © 2009 Andersen et al.

Published
2009

36. Several gene polymorphisms but not FTO variant modulate resting energy expenditure and fat-induced thermogenesis in obese subjects: The NUGENOB Study

Author

Goossens, GH, Petersen, L, Blaak, EE, Hul, G, Arner, P, Astrup, Arne, Froguel, P, Patel, K, Pedersen, O, Polak, J, Oppert, J-M, Martinez, A, Sørensen, TIA, Saris, WHM, NUGENOB Consortium, The, Goossens, GH, Petersen, L, Blaak, EE, Hul, G, Arner, P, Astrup, Arne, Froguel, P, Patel, K, Pedersen, O, Polak, J, Oppert, J-M, Martinez, A, Sørensen, TIA, Saris, WHM, and NUGENOB Consortium, The

Published
2008

37. Effect of genotype at TCF7L2 rs7903146 on weight loss: interaction with fat and carbohydrate content of hypo-energetic diet

Author

Grau, K, Cauchi, S, Taylor, MA, Holst, C, Toubro, Søren, Polak, J, Clément, K, Martinez, JA, Langin, D, Oppert, J-M, Stich, V, Macdonald, I, Arner, P, Saris, WHM, Pedersen, O, Astrup, Arne, Froguel, P, Sørensen, TIA, Grau, K, Cauchi, S, Taylor, MA, Holst, C, Toubro, Søren, Polak, J, Clément, K, Martinez, JA, Langin, D, Oppert, J-M, Stich, V, Macdonald, I, Arner, P, Saris, WHM, Pedersen, O, Astrup, Arne, Froguel, P, and Sørensen, TIA

Published
2008

39. COPD, Body Mass, Fat Free Body Mass and prognosis in Patients from a Random Population Sample

Author

Vestbo, Jørgen, Prescott, E, Almdal, Thomas Peter, Dahl, M, Nordestgaard, Børge, Andersen, T, Sørensen, TIA, Lange, Peter, Vestbo, Jørgen, Prescott, E, Almdal, Thomas Peter, Dahl, M, Nordestgaard, Børge, Andersen, T, Sørensen, TIA, and Lange, Peter

Abstract

RATIONALE: Low body mass index (BMI) is a marker of poor prognosis in chronic obstructive pulmonary disease (COPD). In the general population, the harmful effect of low BMI is due to the deleterious effects of a low fat-free mass index (FFMI; fat-free mass/weight(2)). OBJECTIVES: We explored distribution of low FFMI and its association with prognosis in a population-based cohort of patients with COPD. METHODS: We used data on 1,898 patients with COPD identified in a population-based epidemiologic study in Copenhagen. FFM was measured using bioelectrical impedance analysis. Patients were followed up for a mean of 7 yr and the association between BMI and FFMI and mortality was examined taking age, sex, smoking, and lung function into account. MAIN RESULTS: The mean FFMI was 16.0 kg/m(2) for women and 18.7 kg/m(2) for men. Among subjects with normal BMI, 26.1% had an FFMI lower than the lowest 10th percentile of the general population. BMI and FFMI were significant predictors of mortality, independent of relevant covariates. Being in the lowest 10th percentile of the general population for FFMI was associated with a hazard ratio of 1.5 (95% confidence interval, 1.2-1.8) for overall mortality and 2.4 (1.4-4.0) for COPD-related mortality. FFMI was also a predictor of overall mortality when analyses were restricted to subjects with normal BMI. CONCLUSIONS: FFMI provides information in addition to BMI and assessment of FFM should be considered in the routine assessment of COPD.

Published
2006

47. Birth weight and length as predictors for adult height.

Author

Sørensen, HT, Sabroe, S., Rothman, K.J., Gillman, M., Steffensen, F.H., Fischer, P., Sørensen, TIA, Sørensen, HT, Sabroe, S., Rothman, K.J., Gillman, M., Steffensen, F.H., Fischer, P., and Sørensen, TIA

Published
1999

48. Alcohol and liver disease.

Author

Rodés, J, Salaspuro, M., Sørensen, TIA, Rodés, J, Salaspuro, M., and Sørensen, TIA

Published
1999

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