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Poppe JA, Smorenburg RS, Goos TG, Taal HR, Reiss IKM, Simons SHP. Development of a Web-Based Oxygenation Dashboard for Preterm Neonates: A Quality Improvement Initiative. J Med Syst 2024; 48:46. [PMID: 38656727 PMCID: PMC11043117 DOI: 10.1007/s10916-024-02064-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Preterm neonates are extensively monitored to require strict oxygen target attainment for optimal outcomes. In daily practice, detailed oxygenation data are hardly used and crucial patterns may be missed due to the snapshot presentations and subjective observations. This study aimed to develop a web-based dashboard with both detailed and summarized oxygenation data in real-time and to test its feasibility to support clinical decision making. METHODS Data from pulse oximeters and ventilators were synchronized and stored to enable real-time and retrospective trend visualizations in a web-based viewer. The dashboard was designed based on interviews with clinicians. A preliminary version was evaluated during daily clinical rounds. The routine evaluation of the respiratory condition of neonates (gestational age < 32 weeks) with respiratory support at the NICU was compared to an assessment with the assistance of the dashboard. RESULTS The web-based dashboard included data on the oxygen saturation (SpO2), fraction of inspired oxygen (FiO2), SpO2/FiO2 ratio, and area < 80% and > 95% SpO2 curve during time intervals that could be varied. The distribution of SpO2 values was visualized as histograms. In 65% of the patient evaluations (n = 86) the level of hypoxia was assessed differently with the use of the dashboard. In 75% of the patients the dashboard was judged to provide added value for the clinicians in supporting clinical decisions. CONCLUSIONS A web-based customized oxygenation dashboard for preterm neonates at the NICU was developed and found feasible during evaluation. More clear and objective information was found supportive for clinicians during the daily rounds in tailoring treatment strategies.
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Affiliation(s)
- J A Poppe
- Department of Neonatal and Paediatric Intensive Care, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - R S Smorenburg
- Department of Neonatal and Paediatric Intensive Care, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - T G Goos
- Department of Neonatal and Paediatric Intensive Care, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands
| | - H R Taal
- Department of Neonatal and Paediatric Intensive Care, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I K M Reiss
- Department of Neonatal and Paediatric Intensive Care, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - S H P Simons
- Department of Neonatal and Paediatric Intensive Care, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Kurul Ş, Beckers FLM, Vermeulen MJ, Suurland J, Hasbek JE, Ramakers CRB, Simons SHP, Reiss IKM, Taal HR. Inflammation, sepsis severity and neurodevelopmental outcomes of late-onset sepsis in preterm neonates. Pediatr Res 2023; 94:2026-2032. [PMID: 37468719 DOI: 10.1038/s41390-023-02742-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 04/15/2023] [Accepted: 07/03/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND The aim of this study was to investigate the association between inflammatory biomarkers (C-reactive protein (CRP), procalcitonin (PCT) and interleukin-6 (IL-6)) and sepsis severity (neonatal-Sequential-Organ-Failure-Assessment (nSOFA)) and neurodevelopmental outcomes at 2 years, among very preterm neonates. METHODS Data on preterm neonates (gestational age <30 weeks) from 2016 until 2020 were reviewed. Outcomes of interest were NDI (no, mild, severe) and the motor and cognitive score on the Dutch-Bayley-Scales-of-Infant-and-Toddler-Development (Bayley-III-NL) assessed at the corrected age of 2 years. Logistic and linear regression analysis were used for categorical and continuous outcomes, respectively. All analyses were adjusted for gestational age, sex and birthweight-for-gestational-age SD-score. RESULTS In total 410 patients were eligible for analysis. Maximum CRP concentrations were associated with lower motor and cognitive scores (effect estimate -0.03 points,(95% CI -0.07; -0.00) and -0.03 points,(95% CI -0.06; -0.004), respectively) and increased risk of severe NDI (odds ratio (OR) 1.01, (95% CI 1.00; 1.01)). High nSOFA scores (≥4) during sepsis episodes were associated with an increased risk of mild NDI (OR 2.01, (95% CI 1.34; 3.03)). There were no consistent associations between IL-6, PCT and the outcomes of interest. CONCLUSION High CRP concentrations and sepsis severity in preterm neonates seem to be associated with neurodevelopmental outcomes in survivors at the age of 2 years. IMPACT STATEMENT The level of inflammation and sepsis severity are associated with neurodevelopmental outcome in preterm neonates at 2 years of corrected age. Sepsis is a major health issue in preterm neonates and can lead to brain damage and impaired neurodevelopment. Biomarkers can be determined to assess the level of inflammation. However, the relation of inflammatory biomarkers with neurodevelopmental outcome is not known. The level of inflammation and sepsis severity are related to neurodevelopmental outcome in preterm neonates. Maximum CRP concentration and high nSOFA scores are associated with an increased risk of neurodevelopmental impairment in survivors at the corrected age of 2 years.
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Affiliation(s)
- Şerife Kurul
- Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Famke L M Beckers
- Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Marijn J Vermeulen
- Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Jill Suurland
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jasmin E Hasbek
- Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | | | - Sinno H P Simons
- Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Irwin K M Reiss
- Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - H Rob Taal
- Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands.
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Borenstein-Levin L, Poppe JA, van Weteringen W, Taal HR, Hochwald O, Kugelman A, Reiss IKM, Simons SHP. Oxygen saturation histogram classification system to evaluate response to doxapram treatment in preterm infants. Pediatr Res 2023; 93:932-937. [PMID: 35739260 DOI: 10.1038/s41390-022-02158-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 04/25/2022] [Accepted: 05/22/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND An oxygen saturation (SpO2) histogram classification system has been shown to enable quantification of SpO2 instability into five types, based on histogram distribution and time spent at SpO2 ≤ 80%. We aimed to investigate this classification system as a tool to describe response to doxapram treatment in infants with severe apnea of prematurity. METHODS This retrospective study included 61 very-low-birth-weight infants who received doxapram. SpO2 histograms were generated over the 24-h before and after doxapram start. Therapy response was defined as a decrease of ≥1 histogram types after therapy start. RESULTS The median (IQR) histogram type decreased from 4 (3-4) before to 3 (2-3) after therapy start (p < 0.001). The median (IQR) FiO2 remained constant before (27% [24-35%]) and after (26% [22-35%]) therapy. Thirty-six infants (59%) responded to therapy within 24 h. In 34/36 (94%) of the responders, invasive mechanical ventilation (IMV) was not required during the first 72 h of therapy, compared to 15/25 (60%) of non-responders (p = 0.002). Positive and negative predictive values of the 24-h response for no IMV requirement within 72 h were 0.46 and 0.94, respectively. CONCLUSIONS Classification of SpO2 histograms provides an objective bedside measure to assess response to doxapram therapy and can serve as a tool to detect changes in oxygenation status around respiratory interventions. IMPACT The SpO2 histogram classification system provides a tool for quantifying response to doxapram therapy. The classification system allowed estimation of the probability of invasive mechanical ventilation requirement, already within a few hours of treatment. The SpO2 histogram classification system allows an objective bedside assessment of the oxygenation status of the preterm infant, making it possible to assess the changes in oxygenation status in response to respiratory interventions.
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Affiliation(s)
- Liron Borenstein-Levin
- Neonatal Intensive Care Unit, Ruth Rappaport Children's Hospital, Rambam Health Campus, Haifa, Israel.
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
| | - Jarinda A Poppe
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Willem van Weteringen
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - H Rob Taal
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ori Hochwald
- Neonatal Intensive Care Unit, Ruth Rappaport Children's Hospital, Rambam Health Campus, Haifa, Israel
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Amir Kugelman
- Neonatal Intensive Care Unit, Ruth Rappaport Children's Hospital, Rambam Health Campus, Haifa, Israel
- Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Irwin K M Reiss
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sinno H P Simons
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Kurul Ş, van Ackeren N, Goos TG, Ramakers CRB, Been JV, Kornelisse RF, Reiss IKM, Simons SHP, Taal HR. Introducing heart rate variability monitoring combined with biomarker screening into a level IV NICU: a prospective implementation study. Eur J Pediatr 2022; 181:3331-3338. [PMID: 35786750 PMCID: PMC9395501 DOI: 10.1007/s00431-022-04534-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/01/2022] [Accepted: 06/14/2022] [Indexed: 12/20/2022]
Abstract
The aim of this study was to investigate the association between the implementation of a local heart rate variability (HRV) monitoring guideline combined with determination of inflammatory biomarkers and mortality, measures of sepsis severity, frequency of sepsis testing, and antibiotic usage, among very preterm neonates. In January 2018, a guideline was implemented for early detection of late-onset neonatal sepsis using HRV monitoring combined with determination of inflammatory biomarkers. Data on all patients admitted with a gestational age at birth of < 32 weeks were reviewed in the period January 2016-June 2020 (n = 1,135; n = 515 pre-implementation, n = 620 post-implementation). Outcomes of interest were (sepsis-related) mortality, sepsis severity (neonatal sequential organ failure assessment (nSOFA)), sepsis testing, and antibiotic usage. Differences before and after implementation of the guideline were assessed using logistic and linear regression analysis for binary and continuous outcomes respectively. All analyses were adjusted for gestational age and sex. Mortality within 10 days of a sepsis episode occurred in 39 (10.3%) and 34 (7.6%) episodes in the pre- and post-implementation period respectively (P = 0.13). The nSOFA course during a sepsis episode was significantly lower in the post-implementation group (P = 0.01). We observed significantly more blood tests for determination of inflammatory biomarkers, but no statistically significant difference in number of blood cultures drawn and in antibiotic usage between the two periods.Conclusion: Implementing HRV monitoring with determination of inflammatory biomarkers might help identify patients with sepsis sooner, resulting in reduced sepsis severity, without an increased use of antibiotics or number of blood cultures.
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Affiliation(s)
- Şerife Kurul
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Nicky van Ackeren
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Tom G. Goos
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands ,Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands
| | - Christian R. B. Ramakers
- Department of Clinical Chemistry, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Jasper V. Been
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands
| | - René F. Kornelisse
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Irwin K. M. Reiss
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Sinno H. P. Simons
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands
| | - H. Rob Taal
- Department of Pediatrics, Division Neonatology, Erasmus MC, University Medical Center, Sophia Children’s Hospital, PO Box 2060, 3000 CB Rotterdam, The Netherlands
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Kurul S, Taal HR, Flint RB, Mazela J, Reiss IKM, Allegaert K, Simons SHP. Protocol: Pentoxifylline optimal dose finding trial in preterm neonates with suspected late onset sepsis (PTX-trial). BMC Pediatr 2021; 21:517. [PMID: 34794420 PMCID: PMC8603542 DOI: 10.1186/s12887-021-02975-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 10/26/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Late onset sepsis is a leading cause of death and morbidity in preterm infants. Despite optimal antibiotic treatment, sepsis related mortality and morbidity is still high. Pentoxifylline (PTX) is a methylxanthine with promising immunomodulatory properties, which can be used as an additional therapy next to antibiotics in preterm infants. PTX is increasingly used off-label in neonatal intensive care units, however up till now no dose finding study has been done for PTX in this specific population. The aim of this study (PTX-trial) is to determine the optimal dose of PTX in preterm infants (gestational age < 30 weeks) with (suspected) late onset sepsis. Dose finding in this particular population is unique, since for most drugs used in neonates the optimal dosage has not been investigated in phase II dose-seeking studies. METHODS The PTX-trial is a prospective open label sequential dose-optimization study with an adapted continual reassessment method. An up-and-down dose-response design will be used, with dose step-up and step-down titration after every 3 patients. The PTX starting dosage will be 30 mg/kg/day in 6 hours as described in most previous neonatal studies. Efficacy is defined by means of biochemical and clinical parameters. Toxicity in these vulnerable patients is unwarranted. The optimal dose is defined as the ED75 (i.e., clinically and chemically effective dose for 75% of patients) in preterm neonates with late onset sepsis. We plan to include 30 neonates to determine the optimal dose using this study design. Subsequently, the optimal dose will be validated in 10 additional preterm neonates. In parallel, pharmacokinetics of PTX and its metabolites will be described as well as longitudinal evaluation of metabolomics and proteomics. DISCUSSION The study has been approved by the Regional Medical Ethics Board of Erasmus Medical Center University Rotterdam (MEC 2019-0477) and registered at Clinicaltrials.gov (NCT04152980). Results of the main trial and each of the secondary endpoints will be submitted for publications in peer-reviewed journals. TRIAL REGISTRATION Clinicaltrials.gov, NCT04152980 , Registered November 6th, 2019.
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Affiliation(s)
- Serife Kurul
- Department of Pediatrics, Division Neonatology, Research Neonatology (Sk-4246), Erasmus Medical Center, PO Box 2060, Rotterdam, 300 CB, The Netherlands
| | - H Rob Taal
- Department of Pediatrics, Division Neonatology, Research Neonatology (Sk-4246), Erasmus Medical Center, PO Box 2060, Rotterdam, 300 CB, The Netherlands
| | - Robert B Flint
- Department of Pediatrics, Division Neonatology, Research Neonatology (Sk-4246), Erasmus Medical Center, PO Box 2060, Rotterdam, 300 CB, The Netherlands
- Department of Pharmacy, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jan Mazela
- Department of Neonatology, Poznan University of Medical Sciences, Poznań, Poland
| | - Irwin K M Reiss
- Department of Pediatrics, Division Neonatology, Research Neonatology (Sk-4246), Erasmus Medical Center, PO Box 2060, Rotterdam, 300 CB, The Netherlands
| | - Karel Allegaert
- Department of Pharmacy, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Development and Regeneration and Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
| | - Sinno H P Simons
- Department of Pediatrics, Division Neonatology, Research Neonatology (Sk-4246), Erasmus Medical Center, PO Box 2060, Rotterdam, 300 CB, The Netherlands.
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Kurul Ş, Simons SHP, Ramakers CRB, De Rijke YB, Kornelisse RF, Reiss IKM, Taal HR. Association of inflammatory biomarkers with subsequent clinical course in suspected late onset sepsis in preterm neonates. Crit Care 2021; 25:12. [PMID: 33407770 PMCID: PMC7788923 DOI: 10.1186/s13054-020-03423-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/02/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Sepsis is a major health issue in preterm infants. Biomarkers are used to diagnose and monitor patients with sepsis, but C-reactive protein (CRP) is proven not predictive at onset of late onset neonatal sepsis (LONS) diagnosis. The aim of this study was to evaluate the association of interleukin-6(IL-6), procalcitonin (PCT) and CRP with subsequent sepsis severity and mortality in preterm infants suspected of late onset neonatal sepsis. METHODS The study was conducted at the Erasmus University Medical Center-Sophia Children's Hospital Rotterdam. Patient data from January 2018 until October 2019 were reviewed for all preterm neonates born with a gestational age below 32 weeks with signs and symptoms suggestive of systemic infection, in whom blood was taken for blood culture and for inflammatory biomarkers determinations. Plasma IL-6 and PCT were assessed next to CRP at the moment of suspicion. We assessed the association with 7-day mortality and sepsis severity (neonatal sequential organ failure assessment (nSOFA) score, need for inotropic support, invasive ventilation and thrombocytopenia). RESULTS A total of 480 suspected late onset neonatal sepsis episodes in 208 preterm neonates (gestational age < 32 weeks) were retrospectively analyzed, of which 143 episodes were classified as sepsis (29.8%), with 56 (11.7%) cases of culture negative, 63 (13.1%) cases of gram-positive and 24(5.0%) cases of gram-negative sepsis. A total of 24 (5.0%) sepsis episodes resulted in death within 7 days after suspicion of LONS. Both IL-6 (adjusted hazard ratio (aHR): 2.28; 95% CI 1.64-3.16; p < 0.001) and PCT (aHR: 2.91; 95% CI 1.70-5.00; p < 0.001) levels were associated with 7-day mortality; however, CRP levels were not significantly correlated with 7-day mortality (aHR: 1.16; 95% CI (0.68-2.00; p = 0.56). Log IL-6, log PCT and log CRP levels were all significantly correlated with the need for inotropic support. CONCLUSIONS Our findings show that serum IL-6 and PCT levels at moment of suspected late onset neonatal sepsis offer valuable information about sepsis severity and mortality risk in infants born below 32 weeks of gestation. The discriminative value was superior to that of CRP. Determining these biomarkers in suspected sepsis may help identify patients with imminent severe sepsis, who may require more intensive monitoring and therapy.
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Affiliation(s)
- Şerife Kurul
- Department of Pediatrics, Division Neonatology, Erasmus Medical Center, Erasmus MC, University Medical Center-Sophia Children's Hospital, Research Neonatology (Sk-4246), PO Box 2060, 300 CB, Rotterdam, The Netherlands
| | - Sinno H P Simons
- Department of Pediatrics, Division Neonatology, Erasmus Medical Center, Erasmus MC, University Medical Center-Sophia Children's Hospital, Research Neonatology (Sk-4246), PO Box 2060, 300 CB, Rotterdam, The Netherlands
| | - Christian R B Ramakers
- Department of Clinical Chemistry, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Yolanda B De Rijke
- Department of Clinical Chemistry, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - René F Kornelisse
- Department of Pediatrics, Division Neonatology, Erasmus Medical Center, Erasmus MC, University Medical Center-Sophia Children's Hospital, Research Neonatology (Sk-4246), PO Box 2060, 300 CB, Rotterdam, The Netherlands
| | - Irwin K M Reiss
- Department of Pediatrics, Division Neonatology, Erasmus Medical Center, Erasmus MC, University Medical Center-Sophia Children's Hospital, Research Neonatology (Sk-4246), PO Box 2060, 300 CB, Rotterdam, The Netherlands
| | - H Rob Taal
- Department of Pediatrics, Division Neonatology, Erasmus Medical Center, Erasmus MC, University Medical Center-Sophia Children's Hospital, Research Neonatology (Sk-4246), PO Box 2060, 300 CB, Rotterdam, The Netherlands.
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7
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Couto Alves A, De Silva NMG, Karhunen V, Sovio U, Das S, Taal HR, Warrington NM, Lewin AM, Kaakinen M, Cousminer DL, Thiering E, Timpson NJ, Bond TA, Lowry E, Brown CD, Estivill X, Lindi V, Bradfield JP, Geller F, Speed D, Coin LJM, Loh M, Barton SJ, Beilin LJ, Bisgaard H, Bønnelykke K, Alili R, Hatoum IJ, Schramm K, Cartwright R, Charles MA, Salerno V, Clément K, Claringbould AAJ, van Duijn CM, Moltchanova E, Eriksson JG, Elks C, Feenstra B, Flexeder C, Franks S, Frayling TM, Freathy RM, Elliott P, Widén E, Hakonarson H, Hattersley AT, Rodriguez A, Banterle M, Heinrich J, Heude B, Holloway JW, Hofman A, Hyppönen E, Inskip H, Kaplan LM, Hedman AK, Läärä E, Prokisch H, Grallert H, Lakka TA, Lawlor DA, Melbye M, Ahluwalia TS, Marinelli M, Millwood IY, Palmer LJ, Pennell CE, Perry JR, Ring SM, Savolainen MJ, Rivadeneira F, Standl M, Sunyer J, Tiesler CMT, Uitterlinden AG, Schierding W, O’Sullivan JM, Prokopenko I, Herzig KH, Smith GD, O'Reilly P, Felix JF, Buxton JL, Blakemore AIF, Ong KK, Jaddoe VWV, Grant SFA, Sebert S, McCarthy MI, Järvelin MR. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI. Sci Adv 2019; 5:eaaw3095. [PMID: 31840077 PMCID: PMC6904961 DOI: 10.1126/sciadv.aaw3095] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 08/06/2019] [Indexed: 05/29/2023]
Abstract
Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies.
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Affiliation(s)
- Alexessander Couto Alves
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
| | - N. Maneka G. De Silva
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Ulla Sovio
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Shikta Das
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
| | - H. Rob Taal
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
| | - Nicole M. Warrington
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
| | - Alexandra M. Lewin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Marika Kaakinen
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Centre for Pharmacology and Therapeutics, Division of Experimental Medicine, Department of Medicine, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
| | - Diana L. Cousminer
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Elisabeth Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tom A. Bond
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Estelle Lowry
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Christopher D. Brown
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Xavier Estivill
- Genomics and Disease Group, Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Catalonia, Spain
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Virpi Lindi
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
| | - Jonathan P. Bradfield
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Doug Speed
- Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
- UCL Genetics Institute, University College London, London, UK
| | - Lachlan J. M. Coin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Marie Loh
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR) Singapore, Singapore
| | - Sheila J. Barton
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lawrence J. Beilin
- Medical School, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - Hans Bisgaard
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Bønnelykke
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rohia Alili
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
| | - Ida J. Hatoum
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Katharina Schramm
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
| | - Rufus Cartwright
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Marie-Aline Charles
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
| | - Vincenzo Salerno
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Karine Clément
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
| | - Annique A. J. Claringbould
- University Medical Centre Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV Groningen, Netherlands
| | - BIOS Consortium
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Centre for Pharmacology and Therapeutics, Division of Experimental Medicine, Department of Medicine, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Genomics and Disease Group, Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Catalonia, Spain
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Sidra Medical and Research Center, Doha, Qatar
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
- UCL Genetics Institute, University College London, London, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR) Singapore, Singapore
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Medical School, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
- University Medical Centre Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV Groningen, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
- Department of General Practice and Primary Health Care, University of Helsinki, and Helsinki University Hospital, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- National Institute for Health Research, Imperial College Biomedical Research Centre, London, UK
- Health Data Research UK London, Imperial College London, London, UK
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- School of Psychology, College of Social Science, University of Lincoln Brayford Pool Lincoln, Lincolnshire, UK
- Human Genetics and Medical Genomics, Faculty of Medicine, University of Southampton, Southampton, UK
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Great Ormond Street Hospital Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, North Terrace, Adelaide, South Australia, Australia
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institute, Stockholm, Sweden
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Stanford University Medical School, Stanford, CA, USA
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Old Road Campus, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Oxford, UK
- School of Public Health and Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Avon Longitudinal Study of Parents and Children, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Division of Internal Medicine, and Biocenter of Oulu, Faculty of Medicine, Oulu University, Oulu, Finland
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start—National Science, Challenge, University of Auckland, Auckland, New Zealand
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Research Unit of Biomedicine, University Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, De Crespigny Park, London, UK
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elena Moltchanova
- Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
| | - Johan G. Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, and Helsinki University Hospital, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
| | - Cathy Elks
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Claudia Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
| | - Stephen Franks
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Timothy M. Frayling
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Rachel M. Freathy
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- National Institute for Health Research, Imperial College Biomedical Research Centre, London, UK
- Health Data Research UK London, Imperial College London, London, UK
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Hakon Hakonarson
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew T. Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Alina Rodriguez
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Psychology, College of Social Science, University of Lincoln Brayford Pool Lincoln, Lincolnshire, UK
| | - Marco Banterle
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
| | - Barbara Heude
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
| | - John W. Holloway
- Human Genetics and Medical Genomics, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Albert Hofman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Elina Hyppönen
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Great Ormond Street Hospital Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, North Terrace, Adelaide, South Australia, Australia
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lee M. Kaplan
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Asa K. Hedman
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Esa Läärä
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
| | - Holger Prokisch
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Timo A. Lakka
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Debbie A. Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Stanford University Medical School, Stanford, CA, USA
| | - Tarunveer S. Ahluwalia
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marcella Marinelli
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Iona Y. Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Old Road Campus, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Oxford, UK
| | - Lyle J. Palmer
- School of Public Health and Robinson Research Institute, University of Adelaide, Adelaide, Australia
| | - Craig E. Pennell
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - John R. Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Susan M. Ring
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Avon Longitudinal Study of Parents and Children, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Markku J. Savolainen
- Division of Internal Medicine, and Biocenter of Oulu, Faculty of Medicine, Oulu University, Oulu, Finland
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
| | - Jordi Sunyer
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
| | - Carla M. T. Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Andre G. Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Justin M. O’Sullivan
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start—National Science, Challenge, University of Auckland, Auckland, New Zealand
| | - Inga Prokopenko
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
| | - Karl-Heinz Herzig
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Research Unit of Biomedicine, University Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Paul O'Reilly
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, De Crespigny Park, London, UK
| | - Janine F. Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jessica L. Buxton
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
| | - Alexandra I. F. Blakemore
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
| | - Ken K. Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Struan F. A. Grant
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sylvain Sebert
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Mark I. McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Early Growth Genetics (EGG) Consortium
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, UK
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Paediatrics, Erasmus MC, Sophia Children’s Hospital, Rotterdam, Netherlands
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, Queensland, Australia
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London, UK
- Centre for Pharmacology and Therapeutics, Division of Experimental Medicine, Department of Medicine, Imperial College London, Hammersmith Hospital, London, UK
- Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Surrey, UK
- Division of Human Genetics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Dr von Hauner Children’s Hospital, Ludwig-Maximilians University Munich, Munich, Germany
- MRC Integrative Epidemiology Unit at the University of Bristol and NIHR Bristol Biomedical Research Center, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Genomics and Disease Group, Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Catalonia, Spain
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Catalonia, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Sidra Medical and Research Center, Doha, Qatar
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Aarhus Institute of Advanced Studies (AIAS), Aarhus University, Aarhus, Denmark
- UCL Genetics Institute, University College London, London, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR) Singapore, Singapore
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Medical School, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
- COPSAC, The Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- CRNH Ile de France, Hôpital Pitié-Salpêtrière, Paris, France
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, München, Germany
- Institute for Reproductive and Developmental Biology, Imperial College London, London, UK
- Inserm, UMR 1153 (CRESS), Paris Descartes University, Villejuif, Paris, France
- University Medical Centre Groningen, Department of Genetics, Antonius Deusinglaan 1, 9713 AV Groningen, Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand
- Department of General Practice and Primary Health Care, University of Helsinki, and Helsinki University Hospital, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- National Institute for Health Research, Imperial College Biomedical Research Centre, London, UK
- Health Data Research UK London, Imperial College London, London, UK
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- School of Psychology, College of Social Science, University of Lincoln Brayford Pool Lincoln, Lincolnshire, UK
- Human Genetics and Medical Genomics, Faculty of Medicine, University of Southampton, Southampton, UK
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Great Ormond Street Hospital Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, North Terrace, Adelaide, South Australia, Australia
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institute, Stockholm, Sweden
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Medicine, Stanford University Medical School, Stanford, CA, USA
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Old Road Campus, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Oxford, UK
- School of Public Health and Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Avon Longitudinal Study of Parents and Children, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Division of Internal Medicine, and Biocenter of Oulu, Faculty of Medicine, Oulu University, Oulu, Finland
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
- Liggins Institute, University of Auckland, Auckland, New Zealand
- A Better Start—National Science, Challenge, University of Auckland, Auckland, New Zealand
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Research Unit of Biomedicine, University Oulu, Oulu, Finland
- Medical Research Center and Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Gastroenterology and Metabolism, Poznan University of Medical Sciences, Poznan, Poland
- MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, De Crespigny Park, London, UK
- School of Life Sciences, Pharmacy and Chemistry, Kingston University, Kingston upon Thames, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
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8
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Toemen L, de Jonge LL, Gishti O, van Osch-Gevers L, Taal HR, Steegers EAP, Hofman A, Helbing WA, Jaddoe VWV. Longitudinal growth during fetal life and infancy and cardiovascular outcomes at school-age. J Hypertens 2017; 34:1396-406. [PMID: 27115338 DOI: 10.1097/hjh.0000000000000947] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Low birth weight is associated with cardiovascular disease. We examined the effects of fetal and infant growth patterns on cardiovascular outcomes in children. METHODS In a population-based prospective cohort study among 6239 children, we estimated fetal-femur length and weight by 20 and 30 weeks ultrasound, and child length and weight at birth, 0.5, 1, 2 and 6 years. We measured blood pressure (BP), carotid-femoral pulse wave velocity, aortic root diameter, left ventricular mass and fractional shortening at 6 years. We used regression analyses to identify longitudinal growth patterns associated with height-standardized vascular outcomes and body-surface-area-standardized cardiac outcomes. RESULTS Younger gestational age and lower birth weight were associated with higher BP, smaller aortic root diameter and lower left ventricular mass in childhood (all P values <0.05). Children with decelerated or normal fetal growth followed by accelerated infant growth had higher BP, whereas those with decelerated growth during both fetal life and infancy had a relatively larger left ventricular mass. Longitudinal growth analyses showed that children with increased BP tended to be smaller during third trimester of fetal life, but of normal size during infancy, than children with normal BP. Children with increased aortic root diameter or left ventricular mass tended to be larger during fetal life, but of similar size during infancy. CONCLUSION Specific fetal and infant growth patterns are associated with different cardiovascular outcomes in children. Further studies are needed to identify the underlying mechanisms and the long-term cardiovascular consequences.
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Affiliation(s)
- Liza Toemen
- aGeneration R Study Group bDepartment of Epidemiology cDepartment of Pediatrics dDepartment of Obstetrics and Gynecology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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9
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Parmar PG, Taal HR, Timpson NJ, Thiering E, Lehtimäki T, Marinelli M, Lind PA, Howe LD, Verwoert G, Aalto V, Uitterlinden AG, Briollais L, Evans DM, Wright MJ, Newnham JP, Whitfield JB, Lyytikäinen LP, Rivadeneira F, Boomsma DI, Viikari J, Gillman MW, St Pourcain B, Hottenga JJ, Montgomery GW, Hofman A, Kähönen M, Martin NG, Tobin MD, Raitakari O, Vioque J, Jaddoe VW, Jarvelin MR, Beilin LJ, Heinrich J, van Duijn CM, Pennell CE, Lawlor DA, Palmer LJ. International Genome-Wide Association Study Consortium Identifies Novel Loci Associated With Blood Pressure in Children and Adolescents. Circ Cardiovasc Genet 2016; 9:266-278. [PMID: 26969751 PMCID: PMC5279885 DOI: 10.1161/circgenetics.115.001190] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Accepted: 02/25/2016] [Indexed: 01/11/2023]
Abstract
BACKGROUND Our aim was to identify genetic variants associated with blood pressure (BP) in childhood and adolescence. METHODS AND RESULTS Genome-wide association study data from participating European ancestry cohorts of the Early Genetics and Lifecourse Epidemiology (EAGLE) Consortium was meta-analyzed across 3 epochs; prepuberty (4-7 years), puberty (8-12 years), and postpuberty (13-20 years). Two novel loci were identified as having genome-wide associations with systolic BP across specific age epochs: rs1563894 (ITGA11, located in active H3K27Ac mark and transcription factor chromatin immunoprecipitation and 5'-C-phosphate-G-3' methylation site) during prepuberty (P=2.86×10(-8)) and rs872256 during puberty (P=8.67×10(-9)). Several single-nucleotide polymorphism clusters were also associated with childhood BP at P<5×10(-3). Using a P value threshold of <5×10(-3), we found some overlap in variants across the different age epochs within our study and between several single-nucleotide polymorphisms in any of the 3 epochs and adult BP-related single-nucleotide polymorphisms. CONCLUSIONS Our results suggest that genetic determinants of BP act from childhood, develop over the lifecourse, and show some evidence of age-specific effects.
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10
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Qi Q, Downer MK, Kilpeläinen TO, Taal HR, Barton SJ, Ntalla I, Standl M, Boraska V, Huikari V, Kiefte-de Jong JC, Körner A, Lakka TA, Liu G, Magnusson J, Okuda M, Raitakari O, Richmond R, Scott RA, Bailey MES, Scheuermann K, Holloway JW, Inskip H, Isasi CR, Mossavar-Rahmani Y, Jaddoe VWV, Laitinen J, Lindi V, Melén E, Pitsiladis Y, Pitkänen N, Snieder H, Heinrich J, Timpson NJ, Wang T, Yuji H, Zeggini E, Dedoussis GV, Kaplan RC, Wylie-Rosett J, Loos RJF, Hu FB, Qi L. Dietary Intake, FTO Genetic Variants, and Adiposity: A Combined Analysis of Over 16,000 Children and Adolescents. Diabetes 2015; 64:2467-76. [PMID: 25720386 PMCID: PMC4876751 DOI: 10.2337/db14-1629] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 02/12/2015] [Indexed: 12/26/2022]
Abstract
The FTO gene harbors variation with the strongest effect on adiposity and obesity risk. Previous data support a role for FTO variation in influencing food intake. We conducted a combined analysis of 16,094 boys and girls aged 1-18 years from 14 studies to examine the following: 1) the association between the FTO rs9939609 variant (or a proxy) and total energy and macronutrient intake; and 2) the interaction between the FTO variant and dietary intake, and the effect on BMI. We found that the BMI-increasing allele (minor allele) of the FTO variant was associated with increased total energy intake (effect per allele = 14.3 kcal/day [95% CI 5.9, 22.7 kcal/day], P = 6.5 × 10(-4)), but not with protein, carbohydrate, or fat intake. We also found that protein intake modified the association between the FTO variant and BMI (interactive effect per allele = 0.08 SD [0.03, 0.12 SD], P for interaction = 7.2 × 10(-4)): the association between FTO genotype and BMI was much stronger in individuals with high protein intake (effect per allele = 0.10 SD [0.07, 0.13 SD], P = 8.2 × 10(-10)) than in those with low intake (effect per allele = 0.04 SD [0.01, 0.07 SD], P = 0.02). Our results suggest that the FTO variant that confers a predisposition to higher BMI is associated with higher total energy intake, and that lower dietary protein intake attenuates the association between FTO genotype and adiposity in children and adolescents.
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Affiliation(s)
- Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Mary K Downer
- Department of Nutrition, Harvard School of Public Health, Boston, MA
| | - Tuomas O Kilpeläinen
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital and University of Cambridge, Cambridge, U.K. The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - H Rob Taal
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Sheila J Barton
- MRC Lifecourse Epidemiology Unit, Faculty of Medicine, University of Southampton, Southampton, U.K
| | - Ioanna Ntalla
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece Department of Health Sciences, University of Leicester, Leicester, U.K
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Vesna Boraska
- Wellcome Trust Sanger Institute, Hixton, Cambridge, U.K. Department of Medical Biology, University of Split School of Medicine, Split, Croatia
| | - Ville Huikari
- Institute of Health Sciences, University of Oulu, Oulu, Finland
| | - Jessica C Kiefte-de Jong
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands Global Public Health, Leiden University College, Hague, the Netherlands
| | - Antje Körner
- Pediatric Research Center, Department of Women's & Child Health, University of Leipzig, Leipzig, Germany
| | - Timo A Lakka
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Gaifen Liu
- Department of Neurology, Beijing Tian Tan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jessica Magnusson
- Institute of Environmental Medicine, Karolinska Institutet, and Sachs' Children and Youth Hospital, Stockholm, Sweden
| | - Masayuki Okuda
- Graduate School of Science and Engineering, Yamaguchi University, Ube, Japan
| | - Olli Raitakari
- The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Rebecca Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
| | - Robert A Scott
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital and University of Cambridge, Cambridge, U.K
| | - Mark E S Bailey
- School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, U.K
| | - Kathrin Scheuermann
- Pediatric Research Center, Department of Women's & Child Health, University of Leipzig, Leipzig, Germany
| | - John W Holloway
- Human Genetics and Medical Genomics, Faculty of Medicine, University of Southampton, Southampton, U.K
| | - Hazel Inskip
- MRC Lifecourse Epidemiology Unit, Faculty of Medicine, University of Southampton, Southampton, U.K
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - Virpi Lindi
- Institute of Biomedicine, Department of Physiology, University of Eastern Finland, Kuopio, Finland
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, and Sachs' Children and Youth Hospital, Stockholm, Sweden
| | - Yannis Pitsiladis
- School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, U.K
| | - Niina Pitkänen
- The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands Georgia Prevention Center, Department of Pediatrics, Georgia Regents University, Augusta, GA
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | | | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Hinoda Yuji
- Hokkaido Nursing College, Chuo-ku, Sapporo, Japan
| | | | - George V Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Ruth J F Loos
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital and University of Cambridge, Cambridge, U.K. The Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Frank B Hu
- Department of Nutrition, Harvard School of Public Health, Boston, MA Department of Epidemiology, Harvard School of Public Health, Boston, MA Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, MA Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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11
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van der Valk RJ, Kreiner-Møller E, Kooijman MN, Guxens M, Stergiakouli E, Sääf A, Bradfield JP, Geller F, Hayes MG, Cousminer DL, Körner A, Thiering E, Curtin JA, Myhre R, Huikari V, Joro R, Kerkhof M, Warrington NM, Pitkänen N, Ntalla I, Horikoshi M, Veijola R, Freathy RM, Teo YY, Barton SJ, Evans DM, Kemp JP, St Pourcain B, Ring SM, Davey Smith G, Bergström A, Kull I, Hakonarson H, Mentch FD, Bisgaard H, Chawes B, Stokholm J, Waage J, Eriksen P, Sevelsted A, Melbye M, van Duijn CM, Medina-Gomez C, Hofman A, de Jongste JC, Taal HR, Uitterlinden AG, Armstrong LL, Eriksson J, Palotie A, Bustamante M, Estivill X, Gonzalez JR, Llop S, Kiess W, Mahajan A, Flexeder C, Tiesler CM, Murray CS, Simpson A, Magnus P, Sengpiel V, Hartikainen AL, Keinanen-Kiukaanniemi S, Lewin A, Da Silva Couto Alves A, Blakemore AI, Buxton JL, Kaakinen M, Rodriguez A, Sebert S, Vaarasmaki M, Lakka T, Lindi V, Gehring U, Postma DS, Ang W, Newnham JP, Lyytikäinen LP, Pahkala K, Raitakari OT, Panoutsopoulou K, Zeggini E, Boomsma DI, Groen-Blokhuis M, Ilonen J, Franke L, Hirschhorn JN, Pers TH, Liang L, Huang J, Hocher B, Knip M, Saw SM, Holloway JW, Melén E, Grant SF, Feenstra B, Lowe WL, Widén E, Sergeyev E, Grallert H, Custovic A, Jacobsson B, Jarvelin MR, Atalay M, Koppelman GH, Pennell CE, Niinikoski H, Dedoussis GV, Mccarthy MI, Frayling TM, Sunyer J, Timpson NJ, Rivadeneira F, Bønnelykke K, Jaddoe VW. A novel common variant in DCST2 is associated with length in early life and height in adulthood. Hum Mol Genet 2015; 24:1155-68. [PMID: 25281659 PMCID: PMC4447786 DOI: 10.1093/hmg/ddu510] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Common genetic variants have been identified for adult height, but not much is known about the genetics of skeletal growth in early life. To identify common genetic variants that influence fetal skeletal growth, we meta-analyzed 22 genome-wide association studies (Stage 1; N = 28 459). We identified seven independent top single nucleotide polymorphisms (SNPs) (P < 1 × 10(-6)) for birth length, of which three were novel and four were in or near loci known to be associated with adult height (LCORL, PTCH1, GPR126 and HMGA2). The three novel SNPs were followed-up in nine replication studies (Stage 2; N = 11 995), with rs905938 in DC-STAMP domain containing 2 (DCST2) genome-wide significantly associated with birth length in a joint analysis (Stages 1 + 2; β = 0.046, SE = 0.008, P = 2.46 × 10(-8), explained variance = 0.05%). Rs905938 was also associated with infant length (N = 28 228; P = 5.54 × 10(-4)) and adult height (N = 127 513; P = 1.45 × 10(-5)). DCST2 is a DC-STAMP-like protein family member and DC-STAMP is an osteoclast cell-fusion regulator. Polygenic scores based on 180 SNPs previously associated with human adult stature explained 0.13% of variance in birth length. The same SNPs explained 2.95% of the variance of infant length. Of the 180 known adult height loci, 11 were genome-wide significantly associated with infant length (SF3B4, LCORL, SPAG17, C6orf173, PTCH1, GDF5, ZNFX1, HHIP, ACAN, HLA locus and HMGA2). This study highlights that common variation in DCST2 influences variation in early growth and adult height.
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Affiliation(s)
| | - Eskil Kreiner-Møller
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | | | - Mònica Guxens
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,,CIBER Epidemiología y Salud Pública (CIBERESP), Spain,,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
| | | | - Annika Sääf
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - M. Geoffrey Hayes
- Division of Endocrinology, Metabolism and Molecular Medicine,,Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | | | - Antje Körner
- Center of Pediatric Research, University Hospital Center Leipzig, University of Leipzig, Leipzig, Germany
| | - Elisabeth Thiering
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany,,Institute of Epidemiology I
| | - John A. Curtin
- Centre for Respiratory Medicine and Allergy, Institute of Inflammation and Repair, University of Manchester and University Hospital of South Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Ronny Myhre
- Division Epidemiology, Department Genes and Environment
| | | | | | - Marjan Kerkhof
- Department of Epidemiology,,Groningen Research Institute for Asthma and COPD
| | - Nicole M. Warrington
- School of Women's and Infants’ Health, The University of Western Australia, Perth, Australia,,University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Niina Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine
| | - Ioanna Ntalla
- Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK,,Department of Nutrition and Dietetics, Harokopio University of Athens, Athens 11527, Greece
| | - Momoko Horikoshi
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK,,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
| | | | - Rachel M. Freathy
- University of Exeter Medical School, Royal Devon and Exeter Hospital, Barrack Road, Exeter EX2 5DW, UK
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health,,Life Science Institute, National University of Singapore, Singapore,,Genome Institute of Singapore, Agency for Science, Technology and Research
| | | | - David M. Evans
- MRC Integrative Epidemiology Unit ,,University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - John P. Kemp
- MRC Integrative Epidemiology Unit ,,University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit ,,Avon Longitudinal Study of Parents and Children (ALSPAC), School of Social and Community Medicine,,School of Oral and Dental Sciences, University of Bristol, Bristol, UK
| | - Susan M. Ring
- MRC Integrative Epidemiology Unit ,,Avon Longitudinal Study of Parents and Children (ALSPAC), School of Social and Community Medicine
| | | | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Inger Kull
- Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden,,Sachs’ Children's Hospital, Stockholm, Sweden
| | - Hakon Hakonarson
- Center for Applied Genomics, Abramson Research Center,,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA,,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Bo Chawes
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Jakob Stokholm
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Johannes Waage
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Patrick Eriksen
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Astrid Sevelsted
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark,,Department of Medicine, Stanford School of Medicine, Stanford, USA
| | | | | | - Carolina Medina-Gomez
- Department of Epidemiology,,The Generation R Study Group,,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology,,The Generation R Study Group
| | | | - H. Rob Taal
- Department of Epidemiology,,Department of Paediatrics
| | - André G. Uitterlinden
- Department of Epidemiology,,The Generation R Study Group,,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Loren L. Armstrong
- Division of Endocrinology, Metabolism and Molecular Medicine,,Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | | | - Aarno Palotie
- Institute for Molecular Medicine Finland,,Analytic and Translational Genetics Unit, Department of Medicine,,Psychiatric & Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,,Program in Medical and Population Genetics
| | - Mariona Bustamante
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,,CIBER Epidemiología y Salud Pública (CIBERESP), Spain,,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain,,Centre for Genomic Regulation (CRG), Barcelona, Spain
| | - Xavier Estivill
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain,,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain,,Centre for Genomic Regulation (CRG), Barcelona, Spain,,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Juan R. Gonzalez
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,,CIBER Epidemiología y Salud Pública (CIBERESP), Spain,,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
| | - Sabrina Llop
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain,,Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, Valencia, Spain
| | - Wieland Kiess
- Center of Pediatric Research, University Hospital Center Leipzig, University of Leipzig, Leipzig, Germany
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | | | - Carla M.T. Tiesler
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany,,Institute of Epidemiology I
| | - Clare S. Murray
- Centre for Respiratory Medicine and Allergy, Institute of Inflammation and Repair, University of Manchester and University Hospital of South Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Angela Simpson
- Centre for Respiratory Medicine and Allergy, Institute of Inflammation and Repair, University of Manchester and University Hospital of South Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Per Magnus
- Division Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Verena Sengpiel
- Department Obstetrics and Gynecology, Sahlgrenska Academy, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | | | - Alexandra Lewin
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, MRC Health Protection Agency (HPE) Centre for Environment and Health
| | - Alexessander Da Silva Couto Alves
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, MRC Health Protection Agency (HPE) Centre for Environment and Health
| | - Alexandra I. Blakemore
- Section of Investigative Medicine, Division of Diabetes, Endocrinology, and Metabolism, Faculty of Medicine, Imperial College, London W12 0NN, UK
| | - Jessica L. Buxton
- Section of Investigative Medicine, Division of Diabetes, Endocrinology, and Metabolism, Faculty of Medicine, Imperial College, London W12 0NN, UK
| | - Marika Kaakinen
- Institute of Health Sciences,,Biocenter Oulu, University of Oulu, Oulu, Finland,,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, MRC Health Protection Agency (HPE) Centre for Environment and Health
| | - Alina Rodriguez
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, MRC Health Protection Agency (HPE) Centre for Environment and Health,,Department of Psychology, Mid Sweden University, Östersund, Sweden
| | | | - Marja Vaarasmaki
- Department of Obstetrics and Gynecology and MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Timo Lakka
- Institute of Biomedicine, Physiology,,Kuopio Research Institute of Exercise Medicine, Kuopio, Finland,,Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | | | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Dirkje S. Postma
- Groningen Research Institute for Asthma and COPD,,Department of Pulmonology
| | - Wei Ang
- School of Women's and Infants’ Health, The University of Western Australia, Perth, Australia
| | - John P. Newnham
- School of Women's and Infants’ Health, The University of Western Australia, Perth, Australia
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland,,Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - Katja Pahkala
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia,,Research Centre of Applied and Preventive Cardiovascular Medicine
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine,,Department of Clinical Physiology and Nuclear Medicine
| | - Kalliope Panoutsopoulou
- Wellcome Trust Sanger Institute, The Morgan Building, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1HH, UK
| | - Eleftheria Zeggini
- Wellcome Trust Sanger Institute, The Morgan Building, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1HH, UK
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands,,EMGO Institute for Health and Care Research, Amsterdam, The Netherlands,,Neuroscience Campus Amsterdam, The Netherlands
| | - Maria Groen-Blokhuis
- Department of Biological Psychology, VU University, Amsterdam, The Netherlands,,EMGO Institute for Health and Care Research, Amsterdam, The Netherlands,,Neuroscience Campus Amsterdam, The Netherlands
| | - Jorma Ilonen
- Department of Clinical Microbiology, University of Eastern Finland, Kuopio, Finland,,Immunogenetics Laboratory, University of Turku, Turku, Finland
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen, The Netherlands
| | - Joel N. Hirschhorn
- Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA,,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, USA,,Department of Genetics, Harvard Medical School, USA
| | - Tune H. Pers
- Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA,,Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, USA,,Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Denmark
| | - Liming Liang
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Jinyan Huang
- Shanghai Institute of Hematology, Rui Jin Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China,,Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Berthold Hocher
- Institute of Nutritional Science, University of Potsdam, Germany,,The First Affiliated Hospital of Jinan University, Guangzhou 510630, China,,Center for Cardiovascular Research/Institute of Pharmacology, Charité, Berlin, Germany
| | - Mikael Knip
- Diabetes and Obesity Research Program, University of Helsinki, Helsinki, Finland,,Department of Pediatrics, Tampere University Hospital, Tampere, Finland,,Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health,,Singapore Eye Research Institute, Singapore,,Duke-NUS Graduate Medical School, Singapore
| | - John W. Holloway
- Human Genetics and Genomic Medicine, Human Development & Health, Faculty of Medicine, University of Southampton, UK
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden,,Sachs’ Children's Hospital, Stockholm, Sweden
| | - Struan F.A. Grant
- Center for Applied Genomics, Abramson Research Center,,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA,,Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - William L. Lowe
- Division of Endocrinology, Metabolism and Molecular Medicine,,Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | | | - Elena Sergeyev
- Center of Pediatric Research, University Hospital Center Leipzig, University of Leipzig, Leipzig, Germany
| | - Harald Grallert
- Institute of Epidemiology II,,Research Unit for Molecular Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Adnan Custovic
- Centre for Respiratory Medicine and Allergy, Institute of Inflammation and Repair, University of Manchester and University Hospital of South Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Bo Jacobsson
- Division Epidemiology, Department Genes and Environment,,Department Obstetrics and Gynecology, Sahlgrenska Academy, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Marjo-Riitta Jarvelin
- Institute of Health Sciences,,Biocenter Oulu, University of Oulu, Oulu, Finland,,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, MRC Health Protection Agency (HPE) Centre for Environment and Health,,Unit of Primary Care, Oulu University Hospital, Kajaanintie 50, P.O.Box 20, FI-90220, Oulu 90029 OYS, Finland,,Department of Children and Young People and Families, National Institute for Health and Welfare, Aapistie 1, Box 310, Oulu FI-90101, Finland and
| | | | - Gerard H. Koppelman
- Groningen Research Institute for Asthma and COPD,,Beatrix Children's Hospital, Pediatric Pulmonology and Pediatric Allergy, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Craig E. Pennell
- School of Women's and Infants’ Health, The University of Western Australia, Perth, Australia
| | - Harri Niinikoski
- Research Centre of Applied and Preventive Cardiovascular Medicine,,Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - George V. Dedoussis
- Department of Nutrition and Dietetics, Harokopio University of Athens, Athens 11527, Greece
| | - Mark I. Mccarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK,,Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK,,Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Timothy M. Frayling
- University of Exeter Medical School, Royal Devon and Exeter Hospital, Barrack Road, Exeter EX2 5DW, UK
| | - Jordi Sunyer
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,,CIBER Epidemiología y Salud Pública (CIBERESP), Spain,,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain,,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | | | - Fernando Rivadeneira
- Department of Epidemiology,,The Generation R Study Group,,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health Sciences, University of Copenhagen & Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Denmark
| | - Vincent W.V. Jaddoe
- Department of Epidemiology,,Department of Paediatrics,,The Generation R Study Group,,To whom correspondence should be addressed at: Generation R Study Group, Department of Epidemiology, Erasmus Medical Center, Sophia's Children's Hospital, Postbus 2060, 3000 CB Rotterdam, The Netherlands. Tel: +31 107043405; Fax: +31 10 4089382;
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12
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Kooijman MN, Bakker H, Franco OH, Hofman A, Taal HR, Jaddoe VWV. Fetal Smoke Exposure and Kidney Outcomes in School-Aged Children. Am J Kidney Dis 2015; 66:412-20. [PMID: 25641064 DOI: 10.1053/j.ajkd.2014.12.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Accepted: 12/06/2014] [Indexed: 11/11/2022]
Abstract
BACKGROUND Fetal smoke exposure may result in developmental adaptations that permanently affect the developing kidney. In this study, the associations of maternal and paternal smoking during pregnancy with childhood kidney size and function were assessed. STUDY DESIGN Prospective cohort study from fetal life onward. SETTING & PARTICIPANTS This study was conducted in a group of 5,622 children in Rotterdam, the Netherlands. PREDICTORS Maternal and paternal smoking were assessed during pregnancy by questionnaires. OUTCOMES & MEASUREMENTS At a median age of 6.0 (5th-95th percentile, 5.6-7.9) years, we measured childhood kidney volumes, estimated glomerular filtration rate (eGFR), and albumin-creatinine ratio. RESULTS The confounder model, which included size at birth, shows that compared with children from mothers who did not smoke during pregnancy, those from mothers who continued smoking during pregnancy had smaller combined kidney volumes at the age of 6 years. The strongest effect estimate was observed for mothers who smoked 5 or more cigarettes per day during pregnancy (difference for combined kidney volume, -2.80 [95% CI, -5.15 to -0.45] cm(3)). Similarly, continued maternal smoking during pregnancy also was associated with a lower eGFR in childhood (difference, -2.25 [95% CI, -3.70 to -0.79] mL/min/1.73 m(2)). First-trimester-only smoking was associated with a higher risk of increased albumin-creatinine ratio (OR, 1.45; 95% CI, 1.05-2.01). Among mothers who did not smoke during pregnancy, paternal smoking was associated with smaller childhood combined kidney volume (difference, -1.78 [95% CI, -3.48 to -0.07] cm(3)), but not with childhood kidney function measures. LIMITATIONS Smoking behavior was measured with questionnaires. Follow-up measurements were available for only 70% of the children. CONCLUSIONS Continued maternal smoking during pregnancy is associated with smaller combined kidney volume and lower eGFR in school-aged children. Stronger effect estimates for maternal versus paternal smoking suggest that intrauterine adaptive responses may play a role as underlying mechanisms.
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Affiliation(s)
- Marjolein N Kooijman
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Pediatrics, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands
| | - Hanneke Bakker
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Pediatrics, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands
| | - Albert Hofman
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands
| | - H Rob Taal
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Pediatrics, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands; Department of Pediatrics, Erasmus University Medical Center, Rotterdam-Sophia's Children's Hospital, the Netherlands.
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13
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Bakker H, Kooijman MN, van der Heijden AJ, Hofman A, Franco OH, Taal HR, Jaddoe VWV. Kidney size and function in a multi-ethnic population-based cohort of school-age children. Pediatr Nephrol 2014; 29:1589-98. [PMID: 24599444 DOI: 10.1007/s00467-014-2793-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Revised: 01/21/2014] [Accepted: 02/13/2014] [Indexed: 02/06/2023]
Abstract
BACKGROUND Subclinical impaired kidney growth and function in childhood may lead to kidney diseases and high blood pressure in adulthood. We assessed the cross-sectional associations of childhood characteristics with kidney size and function in a multi-ethnic cohort. METHODS This study was embedded in a population-based cohort study of 6,397 children with a median age of 6.0 years.Kidney volume, creatinine and cystatin C blood levels, microalbuminuria and blood pressure were measured, and glomerular filtration rate (GFR) was estimated. RESULTS Childhood anthropometrics were positively associated with kidney volume, creatinine level and blood pressure (all p < 0.05). We observed ethnic differences in all kidney size and function measures (all p < 0.05). Children with smaller kidneys had higher creatinine and cystatin C blood levels, leading to a lower estimated GFR [difference 5.68 ml/min/1.73 m2 (95% confidence interval 5.14-6.12) per 1 standard deviation increase in kidney volume]. Larger kidney volume was associated with an increased risk of microalbuminuria. CONCLUSIONS Childhood kidney volume and function are influenced by body mass index and ethnicity. Kidney volume is related with kidney function but not with blood pressure. These results may help to identify individuals at risk for kidney disease in an early stage.
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Affiliation(s)
- Hanneke Bakker
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
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14
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Kooijman MN, Bakker H, van der Heijden AJ, Hofman A, Franco OH, Steegers EAP, Taal HR, Jaddoe VWV. Childhood kidney outcomes in relation to fetal blood flow and kidney size. J Am Soc Nephrol 2014; 25:2616-24. [PMID: 24812167 DOI: 10.1681/asn.2013070746] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Impaired fetal abdominal blood flow may lead to smaller kidneys and subsequent impaired kidney function in later life. In a prospective cohort study among 923 pregnant women and their children, we measured fetal growth, kidney volumes, and umbilical and cerebral artery blood flow (median gestational age of 30.3 weeks; 95% range, 28.5-32.7 weeks). We used a higher umbilical/cerebral artery pulsatility index ratio as an indicator of preferential fetal blood flow to the upper body parts at the expense of the intra-abdominal organs. At a median age of 5.9 years (95% range, 5.7-6.6 years), we measured childhood kidney volumes, creatinine and cystatin C blood levels, microalbuminuria, BP, and eGFR. A preferential fetal blood flow to the upper body parts at the expense of the intra-abdominal organs associated only with a smaller combined kidney volume in childhood. Fetal combined kidney volume positively associated with childhood combined kidney volume and eGFR, and inversely associated with childhood creatinine and cystatin C levels (all P values <0.05), but did not associate with childhood microalbuminuria and BP. Children within the highest tertile of fetal umbilical/cerebral ratio and the lowest tertile of fetal combined kidney volume had the lowest eGFR (difference, -6.36 ml/min per 1.73 m(2); 95% confidence interval, -11.78 to -0.94 compared with children within the middle tertiles). These data suggest that impaired fetal blood to the abdominal organs and smaller fetal kidney size are associated with subclinical changes in kidney outcomes in school-aged children.
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Affiliation(s)
| | - Hanneke Bakker
- The Generation R Study Group, Departments of Epidemiology, Pediatrics, and
| | | | | | | | - Eric A P Steegers
- Gynecology and Obstetrics, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, The Netherlands
| | | | - Vincent W V Jaddoe
- The Generation R Study Group, Departments of Epidemiology, Pediatrics, and
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15
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Bakker H, Gaillard R, Franco OH, Hofman A, van der Heijden AJ, Steegers EAP, Taal HR, Jaddoe VWV. Fetal and infant growth patterns and kidney function at school age. J Am Soc Nephrol 2014; 25:2607-15. [PMID: 24812164 DOI: 10.1681/asn.2013091003] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Low birth weight is associated with ESRD. To identify specific growth patterns in early life that may be related to kidney function in later life, we examined the associations of longitudinally measured fetal and infant growth with kidney function in school-aged children. This study was embedded in a population-based prospective cohort study among 6482 children followed from fetal life onward. Fetal and childhood growth was measured during second and third trimesters of pregnancy, at birth, and at 6, 12, 24, 36, and 48 months postnatally. At the age of 6 years, we measured kidney volume by ultrasound. GFR was estimated using blood creatinine levels. Higher gestational age-adjusted birth weight was associated with higher combined kidney volume and higher eGFR (per 1 SD score increase in birth weight; 1.27 cm(3) [95% confidence interval, 0.61 to 1.93] and 0.78 ml/min per 1.73 m2 [95% CI, 0.16 to 1.39], respectively). Fetal weight, birth weight, and weight at 6 months were positively associated with childhood kidney volume, whereas higher second trimester fetal weight was positively associated with higher GFR (all P values<0.05). Fetal and childhood lengths were not consistently associated with kidney function. In this cohort, lower fetal and early infant weight growth is associated with smaller kidney volume in childhood, whereas only lower fetal weight growth is associated with lower kidney function in childhood, independent of childhood growth. Whether these associations lead to an increased risk of kidney disease needs to be studied further.
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Affiliation(s)
- Hanneke Bakker
- The Generation R Study Group, and Departments of Epidemiology, Pediatrics, and
| | - Romy Gaillard
- The Generation R Study Group, and Departments of Epidemiology, Pediatrics, and
| | | | | | | | - Eric A P Steegers
- Obstetrics and Gynaecology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Vincent W V Jaddoe
- The Generation R Study Group, and Departments of Epidemiology, Pediatrics, and
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16
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Durmuş B, Heppe DHM, Taal HR, Manniesing R, Raat H, Hofman A, Steegers EAP, Gaillard R, Jaddoe VWV. Parental smoking during pregnancy and total and abdominal fat distribution in school-age children: the Generation R Study. Int J Obes (Lond) 2014; 38:966-72. [PMID: 24448598 DOI: 10.1038/ijo.2014.9] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2013] [Revised: 12/29/2013] [Accepted: 01/14/2014] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Fetal smoke exposure may influence growth and body composition later in life. We examined the associations of maternal and paternal smoking during pregnancy with total and abdominal fat distribution in school-age children. METHODS We performed a population-based prospective cohort study among 5243 children followed from early pregnancy onward in the Netherlands. Information about parental smoking was obtained by questionnaires during pregnancy. At the median age of 6.0 years (90% range: 5.7-7.4), we measured anthropometrics, total fat and android/gynoid fat ratio by dual-energy X-ray absorptiometry, and preperitoneal and subcutaneous abdominal fat were measured by ultrasound. RESULTS The associations of maternal smoking during pregnancy were only present among girls (P-value for sex interaction<0.05). Compared with girls from mothers who did not smoke during pregnancy, those from mothers who smoked during the first trimester only had a higher android/gynoid fat ratio (difference 0.23 (95% confidence interval (CI): 0.09-0.37) s.d. scores (SDS). Girls from mothers who continued smoking throughout pregnancy had a higher body mass index (difference: 0.24 (95% CI: 0.14-0.35) SDS), total fat mass (difference: 0.23 (95% CI: 0.14-0.33) SDS), android/gynoid fat ratio (difference: 0.34 (95% CI: 0.22-0.46) SDS), subcutaneous abdominal fat (difference: 0.22 (95% CI: 0.11-0.33) SDS) and preperitoneal abdominal fat (difference: 0.20 (95% CI: 0.08-0.31) SDS). Similar associations with body fat distribution outcomes were observed for paternal smoking during pregnancy. Both continued maternal and paternal smoking during pregnancy may be associated with an increased risk of childhood overweight. The corresponding odds ratios were 1.19 (95% CI: 0.98-1.46) and 1.32 (1.10-1.58), respectively. CONCLUSIONS Maternal and paternal smoking during pregnancy are associated with an adverse body and abdominal fat distribution and increased risk of overweight in children. Similar effects of maternal and paternal smoking suggest that direct intrauterine mechanisms and common family-based lifestyle-related factors explain the associations.
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Affiliation(s)
- B Durmuş
- 1] The Generation R Study Group, Erasmus Medical Centre, Rotterdam, The Netherlands [2] Department of Pediatrics, Erasmus Medical Centre, Rotterdam, The Netherlands [3] Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - D H M Heppe
- 1] The Generation R Study Group, Erasmus Medical Centre, Rotterdam, The Netherlands [2] Department of Pediatrics, Erasmus Medical Centre, Rotterdam, The Netherlands [3] Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - H R Taal
- 1] The Generation R Study Group, Erasmus Medical Centre, Rotterdam, The Netherlands [2] Department of Pediatrics, Erasmus Medical Centre, Rotterdam, The Netherlands [3] Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - R Manniesing
- Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - H Raat
- Department of Public Health, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - E A P Steegers
- Department of Obstetrics and Gynecology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - R Gaillard
- 1] The Generation R Study Group, Erasmus Medical Centre, Rotterdam, The Netherlands [2] Department of Pediatrics, Erasmus Medical Centre, Rotterdam, The Netherlands [3] Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - V W V Jaddoe
- 1] The Generation R Study Group, Erasmus Medical Centre, Rotterdam, The Netherlands [2] Department of Pediatrics, Erasmus Medical Centre, Rotterdam, The Netherlands [3] Department of Epidemiology, Erasmus Medical Centre, Rotterdam, The Netherlands
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17
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van der Valk RJ, Duijts L, Timpson NJ, Salam MT, Standl M, Curtin JA, Genuneit J, Kerhof M, Kreiner-Møller E, Cáceres A, Gref A, Liang LL, Taal HR, Bouzigon E, Demenais F, Nadif R, Ober C, Thompson EE, Estrada K, Hofman A, Uitterlinden AG, van Duijn C, Rivadeneira F, Li X, Eckel SP, Berhane K, Gauderman WJ, Granell R, Evans DM, St Pourcain B, McArdle W, Kemp JP, Smith GD, Tiesler CM, Flexeder C, Simpson A, Murray CS, Fuchs O, Postma DS, Bønnelykke K, Torrent M, Andersson M, Sleiman P, Hakonarson H, Cookson WO, Moffatt MF, Paternoster L, Melén E, Sunyer J, Bisgaard H, Koppelman GH, Ege M, Custovic A, Heinrich J, Gilliland FD, Henderson AJ, Jaddoe VW, de Jongste JC. Fraction of exhaled nitric oxide values in childhood are associated with 17q11.2-q12 and 17q12-q21 variants. J Allergy Clin Immunol 2013; 134:46-55. [PMID: 24315451 DOI: 10.1016/j.jaci.2013.08.053] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Revised: 06/21/2013] [Accepted: 08/28/2013] [Indexed: 11/30/2022]
Abstract
BACKGROUND The fraction of exhaled nitric oxide (Feno) value is a biomarker of eosinophilic airway inflammation and is associated with childhood asthma. Identification of common genetic variants associated with childhood Feno values might help to define biological mechanisms related to specific asthma phenotypes. OBJECTIVE We sought to identify the genetic variants associated with childhood Feno values and their relation with asthma. METHODS Feno values were measured in children age 5 to 15 years. In 14 genome-wide association studies (N = 8,858), we examined the associations of approximately 2.5 million single nucleotide polymorphisms (SNPs) with Feno values. Subsequently, we assessed whether significant SNPs were expression quantitative trait loci in genome-wide expression data sets of lymphoblastoid cell lines (n = 1,830) and were related to asthma in a previously published genome-wide association data set (cases, n = 10,365; control subjects: n = 16,110). RESULTS We identified 3 SNPs associated with Feno values: rs3751972 in LYR motif containing 9 (LYRM9; P = 1.97 × 10(-10)) and rs944722 in inducible nitric oxide synthase 2 (NOS2; P = 1.28 × 10(-9)), both of which are located at 17q11.2-q12, and rs8069176 near gasdermin B (GSDMB; P = 1.88 × 10(-8)) at 17q12-q21. We found a cis expression quantitative trait locus for the transcript soluble galactoside-binding lectin 9 (LGALS9) that is in linkage disequilibrium with rs944722. rs8069176 was associated with GSDMB and ORM1-like 3 (ORMDL3) expression. rs8069176 at 17q12-q21, but not rs3751972 and rs944722 at 17q11.2-q12, were associated with physician-diagnosed asthma. CONCLUSION This study identified 3 variants associated with Feno values, explaining 0.95% of the variance. Identification of functional SNPs and haplotypes in these regions might provide novel insight into the regulation of Feno values. This study highlights that both shared and distinct genetic factors affect Feno values and childhood asthma.
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Affiliation(s)
- Ralf Jp van der Valk
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Liesbeth Duijts
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,School of Social and Community Medicine, University of Bristol, Uk
| | - Nicolas J Timpson
- School of Social and Community Medicine, University of Bristol, Uk.,MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, UK
| | - Muhammad T Salam
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, USA
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - John A Curtin
- University of Manchester, Manchester Academic Health Science Centre, University Hospital of South Manchester NHS Foundation Trust, Manchester, United Kingdom
| | - Jon Genuneit
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Marjan Kerhof
- University Medical Center Groningen, University of Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital
| | - Eskil Kreiner-Møller
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, The Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.,The Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Copenhagen, Denmark
| | - Alejandro Cáceres
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, Spain.,Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Catalonia, Spain.,Spanish consortium for Research on Epidemiology and Public Health (CIBERESP), Spain
| | - Anna Gref
- Institute of Environmental Medicine and Centre for Allergy Research, Karolinska Institutet, Stockholm, Sweden
| | - Liming L Liang
- Department of Epidemiology, Harvard School of Public Health, Boston, USA.,Department of Biostatistics, Harvard School of Public Health, Boston, USA
| | - H Rob Taal
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Emmanuelle Bouzigon
- Inserm, UMR 946, Genetic Variation and Human Diseases Unit, F-75010, Paris, France.,Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, F- 75007, Paris, France
| | - Florence Demenais
- Inserm, UMR 946, Genetic Variation and Human Diseases Unit, F-75010, Paris, France.,Univ Paris Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, F- 75007, Paris, France
| | - Rachel Nadif
- Inserm, Centre for research in Epidemiology and Population Health (CEPH), U1018, Respiratory and Environmental Epidemiology Team, F-94807, Villejuif, France.,Univ Paris-Sud, UMRS 1018, F-94807, Villejuif, France
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL 60637
| | - Emma E Thompson
- Department of Human Genetics, University of Chicago, Chicago, IL 60637
| | - Karol Estrada
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André G Uitterlinden
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cornélia van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Xia Li
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, USA
| | - Sandrah P Eckel
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, USA
| | - Kiros Berhane
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, USA
| | - W James Gauderman
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, USA
| | - Raquel Granell
- School of Social and Community Medicine, University of Bristol, Uk
| | - David M Evans
- School of Social and Community Medicine, University of Bristol, Uk.,MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, UK
| | | | - Wendy McArdle
- School of Social and Community Medicine, University of Bristol, Uk
| | - John P Kemp
- School of Social and Community Medicine, University of Bristol, Uk.,MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, UK
| | - George Davey Smith
- School of Social and Community Medicine, University of Bristol, Uk.,MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, UK
| | - Carla Mt Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Claudia Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Angela Simpson
- University of Manchester, Manchester Academic Health Science Centre, University Hospital of South Manchester NHS Foundation Trust, Manchester, United Kingdom
| | - Clare S Murray
- University of Manchester, Manchester Academic Health Science Centre, University Hospital of South Manchester NHS Foundation Trust, Manchester, United Kingdom
| | - Oliver Fuchs
- Inselspital, Universitätsspital, Bern, Universitätklinik für Kinderheilkunde, Bern, Switzerland.,Dr. von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany
| | - Dirkje S Postma
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Klaus Bønnelykke
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, The Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.,The Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Copenhagen, Denmark
| | - Maties Torrent
- Spanish consortium for Research on Epidemiology and Public Health (CIBERESP), Spain.,ib-salut, Area de Salut de Menorca, Balearic Islands, Spain
| | - Martin Andersson
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.,Department of Physiology, South Central Hospital, Stockholm, Sweden
| | - Patrick Sleiman
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - William O Cookson
- National Heart and Lung Institute, Imperial College London, London SW3 6LY
| | - Miriam F Moffatt
- National Heart and Lung Institute, Imperial College London, London SW3 6LY
| | - Lavinia Paternoster
- School of Social and Community Medicine, University of Bristol, Uk.,MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, UK
| | - Erik Melén
- Institute of Environmental Medicine and Centre for Allergy Research, Karolinska Institutet, Stockholm, Sweden.,Sach's Children's Hospital, Stockholm, Sweden
| | - Jordi Sunyer
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, Spain.,Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Catalonia, Spain.,Spanish consortium for Research on Epidemiology and Public Health (CIBERESP), Spain.,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
| | - Hans Bisgaard
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, The Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.,The Danish Pediatric Asthma Center, Copenhagen University Hospital, Gentofte, Copenhagen, Denmark
| | - Gerard H Koppelman
- University Medical Center Groningen, University of Groningen, Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital.,University of Groningen, University Medical Center Groningen, Department of Pulmonology, Groningen, The Netherlands.,Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Markus Ege
- Dr. von Hauner Children's Hospital, Ludwig Maximilian University, Munich, Germany
| | - Adnan Custovic
- University of Manchester, Manchester Academic Health Science Centre, University Hospital of South Manchester NHS Foundation Trust, Manchester, United Kingdom
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Frank D Gilliland
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, USA
| | | | - Vincent Wv Jaddoe
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Johan C de Jongste
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
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18
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de Jonge LL, Langhout MA, Taal HR, Franco OH, Raat H, Hofman A, van Osch-Gevers L, Jaddoe VWV. Infant feeding patterns are associated with cardiovascular structures and function in childhood. J Nutr 2013; 143:1959-65. [PMID: 24089417 DOI: 10.3945/jn.113.174326] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Nutrition in infancy seems to be associated with cardiovascular disease and its risk factors in adulthood. These associations may be explained by cardiovascular developmental adaptations in childhood in response to specific infant feeding patterns. The aim of this study was to assess whether duration and exclusivity of breastfeeding and timing of introduction of solid foods affect cardiovascular development in childhood. In a population-based prospective cohort study from fetal life onward, information about duration and exclusivity of breastfeeding and timing of introduction of solid foods was obtained from delivery reports and questionnaires. Blood pressure, carotid-femoral pulse wave velocity (PWV), left atrial diameter (LAD), aortic root diameter (AOD), left ventricular (LV) mass, and fractional shortening (FS) were measured at a median age of 6.0 y (95% range: 5.6-7.4 y). Analyses were based on 5003 children. Age at introduction of solid foods was negatively associated with systolic and diastolic blood pressure at the age of 6 y. Compared with children who had ever been breast-fed, never-breast-fed children had a higher carotid-femoral PWV (β: 0.13 m/s; 95% CI: 0.03, 0.24 m/s), a smaller LAD (β: -0.29 mm; 95% CI: -0.55, -0.03 mm), and less LV mass (β:-1.46 g; 95% CI: -2.41, -0.52 g) at the age of 6 y. Among breast-fed children, duration and exclusivity were not associated with cardiovascular structures or function. Breastfeeding pattern and age at introduction of solid foods were not associated with AOD or FS. Feeding patterns in infancy may influence cardiovascular development in childhood. Further research is required to replicate these findings and to investigate whether these changes contribute to an increased risk of cardiovascular disease in later life.
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Affiliation(s)
- Layla L de Jonge
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
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19
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Cousminer DL, Berry DJ, Timpson NJ, Ang W, Thiering E, Byrne EM, Taal HR, Huikari V, Bradfield JP, Kerkhof M, Groen-Blokhuis MM, Kreiner-Møller E, Marinelli M, Holst C, Leinonen JT, Perry JR, Surakka I, Pietiläinen O, Kettunen J, Anttila V, Kaakinen M, Sovio U, Pouta A, Das S, Lagou V, Power C, Prokopenko I, Evans DM, Kemp JP, St Pourcain B, Ring S, Palotie A, Kajantie E, Osmond C, Lehtimäki T, Viikari JS, Kähönen M, Warrington NM, Lye SJ, Palmer LJ, Tiesler CM, Flexeder C, Montgomery GW, Medland SE, Hofman A, Hakonarson H, Guxens M, Bartels M, Salomaa V, Murabito JM, Kaprio J, Sørensen TI, Ballester F, Bisgaard H, Boomsma DI, Koppelman GH, Grant SF, Jaddoe VW, Martin NG, Heinrich J, Pennell CE, Raitakari OT, Eriksson JG, Smith GD, Hyppönen E, Järvelin MR, McCarthy MI, Ripatti S, Widén E. Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity. Hum Mol Genet 2013; 22:2735-47. [PMID: 23449627 PMCID: PMC3674797 DOI: 10.1093/hmg/ddt104] [Citation(s) in RCA: 133] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2012] [Accepted: 02/25/2013] [Indexed: 01/18/2023] Open
Abstract
The pubertal height growth spurt is a distinctive feature of childhood growth reflecting both the central onset of puberty and local growth factors. Although little is known about the underlying genetics, growth variability during puberty correlates with adult risks for hormone-dependent cancer and adverse cardiometabolic health. The only gene so far associated with pubertal height growth, LIN28B, pleiotropically influences childhood growth, puberty and cancer progression, pointing to shared underlying mechanisms. To discover genetic loci influencing pubertal height and growth and to place them in context of overall growth and maturation, we performed genome-wide association meta-analyses in 18 737 European samples utilizing longitudinally collected height measurements. We found significant associations (P < 1.67 × 10(-8)) at 10 loci, including LIN28B. Five loci associated with pubertal timing, all impacting multiple aspects of growth. In particular, a novel variant correlated with expression of MAPK3, and associated both with increased prepubertal growth and earlier menarche. Another variant near ADCY3-POMC associated with increased body mass index, reduced pubertal growth and earlier puberty. Whereas epidemiological correlations suggest that early puberty marks a pathway from rapid prepubertal growth to reduced final height and adult obesity, our study shows that individual loci associating with pubertal growth have variable longitudinal growth patterns that may differ from epidemiological observations. Overall, this study uncovers part of the complex genetic architecture linking pubertal height growth, the timing of puberty and childhood obesity and provides new information to pinpoint processes linking these traits.
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Affiliation(s)
| | - Diane J. Berry
- Centre for Paediatric Epidemiology and Biostatistics, MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, London, UK
| | - Nicholas J. Timpson
- The Medical Research Council (MRC) Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine
| | - Wei Ang
- School of Women's and Infants' Health, The University of Western Australia, Perth, WA, Australia
| | - Elisabeth Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München— German Research Center for Environmental Health, Neuherberg, Germany
| | - Enda M. Byrne
- Queensland Institute of Medical Research, Brisbane, Australia
| | - H. Rob Taal
- The Generation R Study Group
- Department of Epidemiology
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | | | | | - Maria M. Groen-Blokhuis
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Eskil Kreiner-Møller
- Copenhagen Prospective Studies on Asthma in Childhood, Health Sciences, University of Copenhagen, Copenhagen University Hospital, Gentofte, Denmark
| | - Marcella Marinelli
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, Spain
- Hospital del Mar Research Institute (IMIM), Barcelona, Catalonia, Spain
- CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
| | - Claus Holst
- Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - John R.B. Perry
- Genetics of Complex Traits, Exeter medical school, University of Exeter, Exeter, UK
- Wellcome Trust Centre for Human Genetics
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Ida Surakka
- Institute for Molecular Medicine, Finland (FIMM)
- Department of Chronic Disease Prevention
| | - Olli Pietiläinen
- Institute for Molecular Medicine, Finland (FIMM)
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Johannes Kettunen
- Institute for Molecular Medicine, Finland (FIMM)
- Department of Chronic Disease Prevention
| | - Verneri Anttila
- Institute for Molecular Medicine, Finland (FIMM)
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Analytical and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Marika Kaakinen
- Institute of Health Sciences
- Biocenter Oulu, University of Oulu, Oulu, PO Box 5000, FI-90014, Finland
| | - Ulla Sovio
- Department of Epidemiology and Biostatistics, School of Public Health
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Anneli Pouta
- Biocenter Oulu, University of Oulu, Oulu, PO Box 5000, FI-90014, Finland
| | - Shikta Das
- Department of Epidemiology and Biostatistics, School of Public Health
| | - Vasiliki Lagou
- Wellcome Trust Centre for Human Genetics
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Chris Power
- Centre for Paediatric Epidemiology and Biostatistics, MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, London, UK
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - David M. Evans
- The Medical Research Council (MRC) Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine
| | - John P. Kemp
- The Medical Research Council (MRC) Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Beate St Pourcain
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Susan Ring
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Aarno Palotie
- Institute for Molecular Medicine, Finland (FIMM)
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Eero Kajantie
- Department of Chronic Disease Prevention
- Hospital for Children and Adolescents, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Clive Osmond
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, University Hospital and University of Tampere, Finland
| | | | - Mika Kähönen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland
| | - Nicole M. Warrington
- School of Women's and Infants' Health, The University of Western Australia, Perth, WA, Australia
| | - Stephen J. Lye
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Lyle J. Palmer
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Carla M.T. Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München— German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic Diseases and Nutritional Medicine, Ludwig-Maximilians-University of Munich, Dr von Hauner Children's Hospital, Munich, Germany
| | - Claudia Flexeder
- Institute of Epidemiology I, Helmholtz Zentrum München— German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - Albert Hofman
- The Generation R Study Group
- Department of Epidemiology
| | - Hakon Hakonarson
- Center for Applied Genomics
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mònica Guxens
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, Spain
- Hospital del Mar Research Institute (IMIM), Barcelona, Catalonia, Spain
- CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
| | - Meike Bartels
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | | | | | - Joanne M. Murabito
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine, Finland (FIMM)
- Department of Public Health
- Department of Mental Health & Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | - Thorkild I.A. Sørensen
- Institute of Preventive Medicine, Copenhagen University Hospital, Copenhagen, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Ferran Ballester
- CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
- Division of Environment and Health, Center for Public Health Research (CSISP), Valencia, Spain
- School of Nursing, University of Valencia, Valencia, Spain
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Health Sciences, University of Copenhagen, Copenhagen University Hospital, Gentofte, Denmark
| | - Dorret I. Boomsma
- Netherlands Twin Register, Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Gerard H. Koppelman
- Department of Pediatric Pulmonology and Pediatric Allergology, GRIAC Research Institute, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Struan F.A. Grant
- Center for Applied Genomics
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vincent W.V. Jaddoe
- The Generation R Study Group
- Department of Epidemiology
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München— German Research Center for Environmental Health, Neuherberg, Germany
| | - Craig E. Pennell
- School of Women's and Infants' Health, The University of Western Australia, Perth, WA, Australia
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland
| | - Johan G. Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Department of Chronic Disease Prevention
- Unit of General Practice
- Folkhalsan Research Centre, Helsinki, Finland
| | - George Davey Smith
- The Medical Research Council (MRC) Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine
| | - Elina Hyppönen
- Centre for Paediatric Epidemiology and Biostatistics, MRC Centre for Epidemiology of Child Health, UCL Institute of Child Health, London, UK
| | - Marjo-Riitta Järvelin
- Institute of Health Sciences
- Biocenter Oulu, University of Oulu, Oulu, PO Box 5000, FI-90014, Finland
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPA) Centre for Environment and Health, School of Public Health, Imperial College, London, UK
- Unit of Primary Care, Oulu University Hospital, Kajaanintie 50, PO Box 20, FI-90220 Oulu, 90029 OYS, Finland
- Department of Children and Young People and Families, National Institute for Health and Welfare, Aapistie 1, Box 310, FI-90101 Oulu, Finland
| | - Mark I. McCarthy
- Wellcome Trust Centre for Human Genetics
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Samuli Ripatti
- Institute for Molecular Medicine, Finland (FIMM)
- Department of Chronic Disease Prevention
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
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20
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Taal HR, St Pourcain B, Thiering E, Das S, Mook-Kanamori DO, Warrington NM, Kaakinen M, Kreiner-Møller E, Bradfield JP, Freathy RM, Geller F, Guxens M, Cousminer DL, Kerkhof M, Timpson NJ, Ikram MA, Beilin LJ, Bønnelykke K, Buxton JL, Charoen P, Chawes BLK, Eriksson J, Evans DM, Hofman A, Kemp JP, Kim CE, Klopp N, Lahti J, Lye SJ, McMahon G, Mentch FD, Müller-Nurasyid M, O'Reilly PF, Prokopenko I, Rivadeneira F, Steegers EAP, Sunyer J, Tiesler C, Yaghootkar H, Breteler MMB, Debette S, Fornage M, Gudnason V, Launer LJ, van der Lugt A, Mosley TH, Seshadri S, Smith AV, Vernooij MW, Blakemore AIF, Chiavacci RM, Feenstra B, Fernandez-Banet J, Grant SFA, Hartikainen AL, van der Heijden AJ, Iñiguez C, Lathrop M, McArdle WL, Mølgaard A, Newnham JP, Palmer LJ, Palotie A, Pouta A, Ring SM, Sovio U, Standl M, Uitterlinden AG, Wichmann HE, Vissing NH, DeCarli C, van Duijn CM, McCarthy MI, Koppelman GH, Estivill X, Hattersley AT, Melbye M, Bisgaard H, Pennell CE, Widen E, Hakonarson H, Smith GD, Heinrich J, Jarvelin MR, Jaddoe VWV. Erratum: Common variants at 12q15 and 12q24 are associated with infant head circumference. Nat Genet 2013. [DOI: 10.1038/ng0613-713a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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21
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Tyrrell J, Huikari V, Christie JT, Cavadino A, Bakker R, Brion MJA, Geller F, Paternoster L, Myhre R, Potter C, Johnson PC, Ebrahim S, Feenstra B, Hartikainen AL, Hattersley AT, Hofman A, Kaakinen M, Lowe LP, Magnus P, McConnachie A, Melbye M, Ng JW, Nohr EA, Power C, Ring SM, Sebert SP, Sengpiel V, Taal HR, Watt GC, Sattar N, Relton CL, Jacobsson B, Frayling TM, Sørensen TI, Murray JC, Lawlor DA, Pennell CE, Jaddoe VW, Hypponen E, Lowe WL, Jarvelin MR, Davey Smith G, Freathy RM. Genetic variation in the 15q25 nicotinic acetylcholine receptor gene cluster (CHRNA5-CHRNA3-CHRNB4) interacts with maternal self-reported smoking status during pregnancy to influence birth weight. Hum Mol Genet 2012; 21:5344-58. [PMID: 22956269 PMCID: PMC3516066 DOI: 10.1093/hmg/dds372] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2012] [Revised: 08/14/2012] [Accepted: 08/30/2012] [Indexed: 02/02/2023] Open
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 = 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 = 0.014). However, in women who did not smoke during pregnancy, the effect size estimate was 5 g per T-allele (95% CI: -4 to 14 g; P = 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.
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Affiliation(s)
- Jessica Tyrrell
- European Centre for Environment and Human Health,
University of Exeter, The Knowledge Spa, Truro TR1
3HD, UK
- Genetics of Complex Traits and
| | | | - Jennifer T. Christie
- MRC Social Genetic and Developmental
Psychiatry, Institute of Psychiatry, Kings College
London, London, UK
| | | | - Rachel Bakker
- Department of Epidemiology
- The Generation R Study Group and
| | - Marie-Jo A. Brion
- MRC Centre for Causal Analyses in Translational
Epidemiology (CAiTE) and
| | - Frank Geller
- Department of Epidemiology Research,
Statens Serum Institut, Copenhagen,
Denmark
| | | | - Ronny Myhre
- Division of Epidemiology,
Norwegian Institute of Public Health,
Oslo, Norway
| | - Catherine Potter
- Institute of Genetic Medicine,
Newcastle University, Central Parkway, Newcastle
upon Tyne NE1 3BZ, UK
| | - Paul C.D. Johnson
- Robertson Centre for Biostatistics, Institute of
Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of
Glasgow, Glasgow G12 8QQ,
UK
| | - Shah Ebrahim
- Non-Communicable Diseases Epidemiology Unit,
Department of Epidemiology and Population Health, London School
of Hygiene and Tropical Medicine, London,
UK
| | - Bjarke Feenstra
- Department of Epidemiology Research,
Statens Serum Institut, Copenhagen,
Denmark
| | | | - Andrew T. Hattersley
- Peninsula NIHR Clinical Research
Facility, Peninsula College of Medicine and Dentistry, University
of Exeter, Exeter, UK
| | | | - Marika Kaakinen
- Institute of Health Sciences
- Biocenter Oulu, University of Oulu,
Oulu, Finland
| | - Lynn P. Lowe
- Department of Preventive Medicine,
Northwestern University Feinberg School of Medicine,
Chicago, IL, USA
| | - Per Magnus
- Division of Epidemiology,
Norwegian Institute of Public Health,
Oslo, Norway
- Department of Obstetrics and
Gynecology, Institute of Public Health, Sahlgrenska Academy,
Sahgrenska University Hospital, Gothenburg,
Sweden
| | - Alex McConnachie
- Robertson Centre for Biostatistics, Institute of
Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of
Glasgow, Glasgow G12 8QQ,
UK
| | - Mads Melbye
- Department of Epidemiology Research,
Statens Serum Institut, Copenhagen,
Denmark
| | - Jane W.Y. Ng
- Institute of Genetic Medicine,
Newcastle University, Central Parkway, Newcastle
upon Tyne NE1 3BZ, UK
- Faculty of Medicine,
University of British Columbia, Vancouver, British
Columbia, CanadaV6T 1Z3
| | - Ellen A. Nohr
- Institute of Public Health,
Aarhus University, Aarhus,
Denmark
| | - Chris Power
- UCL Institute of Child Health, UCL,
London, UK
| | - Susan M. Ring
- School of Social and Community
Medicine, University of Bristol, Oakfield
House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Sylvain P. Sebert
- Institute of Health Sciences
- Department of Epidemiology and Biostatistics,
School of Public Health, MRC-HPA Centre for Environment and Health, Faculty of
Medicine, Imperial College London,
UK
| | - Verena Sengpiel
- Department of Obstetrics and
Gynecology, Institute of Public Health, Sahlgrenska Academy,
Sahgrenska University Hospital, Gothenburg,
Sweden
| | - H. Rob Taal
- Department of Epidemiology
- The Generation R Study Group and
- Department of Pediatrics,
Erasmus Medical Center, Rotterdam,
The Netherlands
| | - Graham C.M. Watt
- General Practice and Primary Care,
The Institute of Health and Wellbeing, College of Medical, Veterinary and
Life Sciences, University of Glasgow, Glasgow G12
9LX, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences,
University of Glasgow, Glasgow G12 8TA,
UK
| | - Caroline L. Relton
- Institute of Genetic Medicine,
Newcastle University, Central Parkway, Newcastle
upon Tyne NE1 3BZ, UK
| | - Bo Jacobsson
- Division of Epidemiology,
Norwegian Institute of Public Health,
Oslo, Norway
- Department of Obstetrics and
Gynecology, Institute of Public Health, Sahlgrenska Academy,
Sahgrenska University Hospital, Gothenburg,
Sweden
| | | | - Thorkild I.A. Sørensen
- Institute of Preventive Medicine,
Copenhagen University Hospitals,
Copenhagen, Denmark
- The Novo Nordisk Foundation Center for Basic
Metabolic Research, University of Copenhagen,
Copenhagen, Denmark
| | | | - Debbie A. Lawlor
- MRC Centre for Causal Analyses in Translational
Epidemiology (CAiTE) and
- School of Social and Community
Medicine, University of Bristol, Oakfield
House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Craig E. Pennell
- School of Women's and Infants'
Health, The University of Western Australia,
Perth, Australia and
| | - Vincent W.V. Jaddoe
- Department of Epidemiology
- The Generation R Study Group and
- Department of Pediatrics,
Erasmus Medical Center, Rotterdam,
The Netherlands
| | | | - William L. Lowe
- Department of Preventive Medicine,
Northwestern University Feinberg School of Medicine,
Chicago, IL, USA
| | - Marjo-Riitta Jarvelin
- Institute of Health Sciences
- Biocenter Oulu, University of Oulu,
Oulu, Finland
- Department of Epidemiology and Biostatistics,
School of Public Health, MRC-HPA Centre for Environment and Health, Faculty of
Medicine, Imperial College London,
UK
- Department of Lifecourse and Services,
National Institute for Health and Welfare, FI-90101
Oulu, Finland
| | - George Davey Smith
- MRC Centre for Causal Analyses in Translational
Epidemiology (CAiTE) and
- School of Social and Community
Medicine, University of Bristol, Oakfield
House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Rachel M. Freathy
- Genetics of Complex Traits and
- MRC Centre for Causal Analyses in Translational
Epidemiology (CAiTE) and
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22
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Taal HR, van den Hil LCL, Hofman A, van der Heijden AJ, Jaddoe VWV. Genetic variants associated with adult blood pressure and kidney function do not affect fetal kidney volume. The Generation R Study. Early Hum Dev 2012; 88:711-6. [PMID: 22445569 DOI: 10.1016/j.earlhumdev.2012.02.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2011] [Revised: 02/20/2012] [Accepted: 02/24/2012] [Indexed: 01/11/2023]
Abstract
BACKGROUND Smaller kidneys with reduced number of nephrons in early life lead to impaired kidney function and risk for hypertension and chronic kidney disease. These associations might be partly explained by common genetic variation. AIMS To assess the associations between common genetic variants, which have recently shown to be associated with blood pressure or kidney function, with fetal kidney volume. STUDY DESIGN A prospective population based cohort study in Rotterdam, The Netherlands. SUBJECTS 855 children, followed from early fetal life onwards (born 2003-2005). PREDICTOR Common genetic variants previously associated with blood pressure or kidney function. OUTCOME MEASURES Combined third trimester fetal kidney volume. RESULTS After taking into account multiple testing, only rs12940887 (near ZNF652) was significantly associated with fetal kidney volume (β: 0.88 (95% CI: 0.40; 1.37) cm(3) per minor allele, P-value<0.001), but the effect showed the opposite direction as expected. The remaining common genetic variants were not associated with fetal kidney volume. We also did not find associations of genetic variants previously shown to affect newborn kidney volume, with third trimester fetal kidney volume. CONCLUSIONS Our results suggest that common genetic variants, associated with kidney function or disease and blood pressure, do not affect the third trimester fetal kidney volume. Further studies are needed to elucidate the mechanisms underlying the associations between small kidney size and increased risks of hypertension and impaired kidney function in adulthood.
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Affiliation(s)
- H Rob Taal
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
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23
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Ikram MA, Fornage M, Smith AV, Seshadri S, Schmidt R, Debette S, Vrooman HA, Sigurdsson S, Ropele S, Taal HR, Mook-Kanamori DO, Coker LH, Longstreth WT, Niessen WJ, DeStefano AL, Beiser A, Zijdenbos AP, Struchalin M, Jack CR, Rivadeneira F, Uitterlinden AG, Knopman DS, Hartikainen AL, Pennell CE, Thiering E, Steegers EAP, Hakonarson H, Heinrich J, Palmer LJ, Jarvelin MR, McCarthy MI, Grant SFA, St Pourcain B, Timpson NJ, Smith GD, Sovio U, Nalls MA, Au R, Hofman A, Gudnason H, van der Lugt A, Harris TB, Meeks WM, Vernooij MW, van Buchem MA, Catellier D, Jaddoe VWV, Gudnason V, Windham BG, Wolf PA, van Duijn CM, Mosley TH, Schmidt H, Launer LJ, Breteler MMB, DeCarli C. Erratum: Common variants at 6q22 and 17q21 are associated with intracranial volume. Nat Genet 2012. [DOI: 10.1038/ng0612-732c] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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24
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Bradfield JP, Taal HR, Timpson NJ, Scherag A, Lecoeur C, Warrington NM, Hypponen E, Holst C, Valcarcel B, Thiering E, Salem RM, Schumacher FR, Cousminer DL, Sleiman PMA, Zhao J, Berkowitz RI, Vimaleswaran KS, Jarick I, Pennell CE, Evans DM, St Pourcain B, Berry DJ, Mook-Kanamori DO, Hofman A, Rivadeneira F, Uitterlinden AG, van Duijn CM, van der Valk RJP, de Jongste JC, Postma DS, Boomsma DI, Gauderman WJ, Hassanein MT, Lindgren CM, Mägi R, Boreham CAG, Neville CE, Moreno LA, Elliott P, Pouta A, Hartikainen AL, Li M, Raitakari O, Lehtimäki T, Eriksson JG, Palotie A, Dallongeville J, Das S, Deloukas P, McMahon G, Ring SM, Kemp JP, Buxton JL, Blakemore AIF, Bustamante M, Guxens M, Hirschhorn JN, Gillman MW, Kreiner-Møller E, Bisgaard H, Gilliland FD, Heinrich J, Wheeler E, Barroso I, O'Rahilly S, Meirhaeghe A, Sørensen TIA, Power C, Palmer LJ, Hinney A, Widen E, Farooqi IS, McCarthy MI, Froguel P, Meyre D, Hebebrand J, Jarvelin MR, Jaddoe VWV, Smith GD, Hakonarson H, Grant SFA. A genome-wide association meta-analysis identifies new childhood obesity loci. Nat Genet 2012; 44:526-31. [PMID: 22484627 PMCID: PMC3370100 DOI: 10.1038/ng.2247] [Citation(s) in RCA: 270] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2011] [Accepted: 03/14/2012] [Indexed: 12/19/2022]
Abstract
Multiple genetic variants have been associated with adult obesity and a few with severe obesity in childhood; however, less progress has been made in establishing genetic influences on common early-onset obesity. We performed a North American, Australian and European collaborative meta-analysis of 14 studies consisting of 5,530 cases (≥95th percentile of body mass index (BMI)) and 8,318 controls (<50th percentile of BMI) of European ancestry. Taking forward the eight newly discovered signals yielding association with P < 5 × 10(-6) in nine independent data sets (2,818 cases and 4,083 controls), we observed two loci that yielded genome-wide significant combined P values near OLFM4 at 13q14 (rs9568856; P = 1.82 × 10(-9); odds ratio (OR) = 1.22) and within HOXB5 at 17q21 (rs9299; P = 3.54 × 10(-9); OR = 1.14). Both loci continued to show association when two extreme childhood obesity cohorts were included (2,214 cases and 2,674 controls). These two loci also yielded directionally consistent associations in a previous meta-analysis of adult BMI(1).
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Affiliation(s)
- Jonathan P Bradfield
- Center for Applied Genomics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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25
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Taal HR, Pourcain BS, Thiering E, Das S, Mook-Kanamori DO, Warrington NM, Kaakinen M, Kreiner-Møller E, Bradfield JP, Freathy RM, Geller F, Guxens M, Cousminer DL, Kerkhof M, Timpson NJ, Ikram MA, Beilin LJ, Bønnelykke K, Buxton JL, Charoen P, Chawes BLK, Eriksson J, Evans DM, Hofman A, Kemp JP, Kim CE, Klopp N, Lahti J, Lye SJ, McMahon G, Mentch FD, Müller M, O'Reilly PF, Prokopenko I, Rivadeneira F, Steegers EAP, Sunyer J, Tiesler C, Yaghootkar H, Breteler MMB, Debette S, Fornage M, Gudnason V, Launer LJ, van der Lugt A, Mosley TH, Seshadri S, Smith AV, Vernooij MW, Blakemore AI, Chiavacci RM, Feenstra B, Fernandez-Benet J, Grant SFA, Hartikainen AL, van der Heijden AJ, Iñiguez C, Lathrop M, McArdle WL, Mølgaard A, Newnham JP, Palmer LJ, Palotie A, Pouta A, Ring SM, Sovio U, Standl M, Uitterlinden AG, Wichmann HE, Vissing NH, DeCarli C, van Duijn CM, McCarthy MI, Koppelman GH, Estivill X, Hattersley AT, Melbye M, Bisgaard H, Pennell CE, Widen E, Hakonarson H, Smith GD, Heinrich J, Jarvelin MR, Jaddoe VWV. Common variants at 12q15 and 12q24 are associated with infant head circumference. Nat Genet 2012; 44:532-538. [PMID: 22504419 DOI: 10.1038/ng.2238] [Citation(s) in RCA: 95] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2011] [Accepted: 03/07/2012] [Indexed: 12/20/2022]
Abstract
To identify genetic variants associated with head circumference in infancy, we performed a meta-analysis of seven genome-wide association studies (GWAS) (N = 10,768 individuals of European ancestry enrolled in pregnancy and/or birth cohorts) and followed up three lead signals in six replication studies (combined N = 19,089). rs7980687 on chromosome 12q24 (P = 8.1 × 10(-9)) and rs1042725 on chromosome 12q15 (P = 2.8 × 10(-10)) were robustly associated with head circumference in infancy. Although these loci have previously been associated with adult height, their effects on infant head circumference were largely independent of height (P = 3.8 × 10(-7) for rs7980687 and P = 1.3 × 10(-7) for rs1042725 after adjustment for infant height). A third signal, rs11655470 on chromosome 17q21, showed suggestive evidence of association with head circumference (P = 3.9 × 10(-6)). SNPs correlated to the 17q21 signal have shown genome-wide association with adult intracranial volume, Parkinson's disease and other neurodegenerative diseases, indicating that a common genetic variant in this region might link early brain growth with neurological disease in later life.
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Affiliation(s)
- H Rob Taal
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.,The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Beate St Pourcain
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Elisabeth Thiering
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Shikta Das
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK
| | - Dennis O Mook-Kanamori
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.,The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands.,Weill Cornell Medical College - Qatar, Doha, Qatar
| | - Nicole M Warrington
- School of Women's and Infants' Health, The University of Western Australia, Perth, Australia.,Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Canada
| | - Marika Kaakinen
- Institute of Health Sciences, University of Oulu, Finland.,Biocenter Oulu, University of Oulu, Finland
| | - Eskil Kreiner-Møller
- Copenhagen Prospective Studies on Asthma in Childhood, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan P Bradfield
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Rachel M Freathy
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Mònica Guxens
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, Spain.,Hospital del Mar Research Institute (IMIM), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain
| | - Diana L Cousminer
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Marjan Kerkhof
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Nicholas J Timpson
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lawrence J Beilin
- School of Medicine and Pharmacology, The University of Western Australia, Perth, Australia
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, University of Copenhagen, Copenhagen, Denmark
| | - Jessica L Buxton
- Department of Genomics of Common Disease, School of Public Health, Imperial College London
| | - Pimphen Charoen
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK.,Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Bo Lund Krogsgaard Chawes
- Copenhagen Prospective Studies on Asthma in Childhood, University of Copenhagen, Copenhagen, Denmark
| | - Johan Eriksson
- National Institute for Health and Welfare, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.,Folkhalsan Research Centre, Biomedicum Helsinki, University of Helsinki, Helsinki, Finland
| | - David M Evans
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
| | - John P Kemp
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Cecilia E Kim
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Norman Klopp
- Research Unit for Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Stephen J Lye
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Canada
| | - George McMahon
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Frank D Mentch
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Martina Müller
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
| | - Paul F O'Reilly
- Department of Epidemiology and Biostatistics, Imperial College London, W2 1PG London, UK
| | - Inga Prokopenko
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Eric A P Steegers
- Department of Obstetrics & Gynecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jordi Sunyer
- Center for Research in Environmental Epidemiology (CREAL), Barcelona, Catalonia, Spain.,Hospital del Mar Research Institute (IMIM), Barcelona, Catalonia, Spain.,CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain.,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
| | - Carla Tiesler
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Dr Von Hauner Children's Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Hanieh Yaghootkar
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
| | | | | | - Stephanie Debette
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, Human Genetics Center and Division of Epidemiology, School of Public Health, University of Texas, Houston Health Sciences Center, Houston, TX, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogus, Iceland.,University of Iceland, Reykjavik, Iceland
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, National Institute of Health, Bethesda, MD, USA
| | - Aad van der Lugt
- Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Thomas H Mosley
- Department of Medicine (Geriatrics), University of Mississippi Medical Center, Jackson, MS, USA
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Albert V Smith
- Icelandic Heart Association, Kopavogus, Iceland.,University of Iceland, Reykjavik, Iceland
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Alexandra If Blakemore
- Department of Genomics of Common Disease, School of Public Health, Imperial College London
| | - Rosetta M Chiavacci
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Julio Fernandez-Benet
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Struan F A Grant
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.,Department of Pediatrics, University of Pennsylvania, Philadelphia PA 19104, USA
| | - Anna-Liisa Hartikainen
- Institute of Clinical Medicine/Obstetrics and Gynecology, University of Oulu, Oulu, Finland
| | | | - Carmen Iñiguez
- CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain.,Division of Environment and Health, Center for Public Health Research-CSISP, Valencia, Spain
| | - Mark Lathrop
- Centre National de Génotypage, Evry, France.,Foundation Jean Dausset, CEPH, Paris, France
| | - Wendy L McArdle
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Anne Mølgaard
- Copenhagen Prospective Studies on Asthma in Childhood, University of Copenhagen, Copenhagen, Denmark
| | - John P Newnham
- School of Women's and Infants' Health, The University of Western Australia, Perth, Australia
| | - Lyle J Palmer
- Samuel Lunenfeld Research Institute, University of Toronto, Toronto, Canada.,Genetic Epidemiology and Biostatistics Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Aarno Palotie
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.,Department of Medical Genetics, University of Helsinki, Helsinki, Finland.,Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.,Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK
| | - Annneli Pouta
- National Institute for Health and Welfare, Oulu, Finland, Biocenter Oulu, University of Oulu, Finland
| | - Susan M Ring
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Ulla Sovio
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK.,London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - H-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.,Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
| | - Nadja Hawwa Vissing
- Copenhagen Prospective Studies on Asthma in Childhood, University of Copenhagen, Copenhagen, Denmark
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
| | | | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.,Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford, UK
| | - Gerard H Koppelman
- Department of Pediatric Pulmonology and Pediatric Allergology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Xavier Estivill
- CIBER Epidemiologia y Salud Pública (CIBERESP), Barcelona, Catalonia, Spain.,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain.,Genes and Disease Program, Center for Genomic Regulation (CRG-UPF), Barcelona, Catalonia, Spain
| | - Andrew T Hattersley
- Peninsula NIHR Clinical Research Facility, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, University of Copenhagen, Copenhagen, Denmark
| | - Craig E Pennell
- School of Women's and Infants' Health, The University of Western Australia, Perth, Australia
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Hakon Hakonarson
- Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.,Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.,Department of Pediatrics, University of Pennsylvania, Philadelphia PA 19104, USA
| | - George Davey Smith
- MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Marjo-Riitta Jarvelin
- Institute of Health Sciences, University of Oulu, Finland.,National Institute for Health and Welfare, Oulu, Finland, Biocenter Oulu, University of Oulu, Finland.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, MRC Health Protection Agency (HPA) Centre for Environment and Health, Imperial College London
| | | | - Vincent W V Jaddoe
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Paediatrics, Erasmus Medical Center, Rotterdam, The Netherlands.,The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands
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26
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Leermakers ETM, Taal HR, Bakker R, Steegers EAP, Hofman A, Jaddoe VWV. A common genetic variant at 15q25 modifies the associations of maternal smoking during pregnancy with fetal growth: the generation R study. PLoS One 2012; 7:e34584. [PMID: 22496830 PMCID: PMC3319619 DOI: 10.1371/journal.pone.0034584] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2012] [Accepted: 03/07/2012] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE Maternal smoking during pregnancy is associated with fetal growth retardation. We examined whether a common genetic variant at chromosome 15q25 (rs1051730), which is known to be involved in nicotine metabolism, modifies the associations of maternal smoking with fetal growth characteristics. METHODS This study was performed in 3,563 European mothers participating in a population-based prospective cohort study from early pregnancy onwards. Smoking was assessed by postal questionnaires and fetal growth characteristics were measured by ultrasound examinations in each trimester of pregnancy. RESULTS Among mothers who did not smoke during pregnancy (82.9%), maternal rs1051730 was not consistently associated with any fetal growth characteristic. Among mothers who continued smoking during pregnancy (17.1%), maternal rs1051730 was not associated with head circumference. The T-allele of maternal rs1051730 was associated with a smaller second and third trimester fetal femur length [differences -0.23 mm (95%CI -0.45 to -0.00) and -0.41 mm (95%CI -0.69 to -0.13), respectively] and a smaller birth length [difference -2.61 mm (95%CI -5.32 to 0.11)]. The maternal T-allele of rs1051730 was associated with a lower third trimester estimated fetal weight [difference -33 grams (95%CI -55 to -10)], and tended to be associated with birth weight [difference -38 grams (95%CI -89 to 13)]. This association persisted after adjustment for smoking quantity. CONCLUSIONS Our results suggest that maternal rs1051730 genotype modifies the associations of maternal smoking during pregnancy with impaired fetal growth in length and weight. These results should be considered as hypothesis generating and indicate the need for large-scale genome wide association studies focusing on gene--fetal smoke exposure interactions.
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Affiliation(s)
- Elisabeth T. M. Leermakers
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - H. Rob Taal
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Rachel Bakker
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eric A. P. Steegers
- Department of Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Paediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
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Heppe DHM, Taal HR, Ernst GDS, Van Den Akker ELT, Lequin MMH, Hokken-Koelega ACS, Geelhoed JJM, Jaddoe VWV. Bone age assessment by dual-energy X-ray absorptiometry in children: an alternative for X-ray? Br J Radiol 2011; 85:114-20. [PMID: 21586503 DOI: 10.1259/bjr/23858213] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE The aim of the study was to validate dual-energy X-ray absorptiometry (DXA) as a method to assess bone age in children. METHODS Paired dual-energy X-ray absorptiometry (DXA) scans and X-rays of the left hand were performed in 95 children who attended the paediatric endocrinology outpatient clinic of University Hospital Rotterdam, the Netherlands. We compared bone age assessments by DXA scan with those performed by X-ray. Bone age assessment was performed by two blinded observers according to the reference method of Greulich and Pyle. Intra-observer and interobserver reproducibility were investigated using the intraclass correlation coefficient (ICC), and agreement was tested using Bland and Altman plots. RESULTS The intra-observer ICCs for both observers were 0.997 and 0.991 for X-ray and 0.993 and 0.987 for DXA assessments. The interobserver ICC was 0.993 and 0.991 for X-ray and DXA assessments, respectively. The mean difference between bone age assessed by X-ray and DXA was 0.11 years. The limits of agreement ranged from -0.82 to 1.05 years, which means that 95% of all differences between the methods were covered by this range. CONCLUSIONS Results of bone age assessment by DXA scan are similar to those obtained by X-ray. The DXA method seems to be an alternative for assessing bone age in a paediatric hospital-based population.
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Affiliation(s)
- D H M Heppe
- The Generation R Study Group, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
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Mook-Kanamori DO, Marsh JA, Warrington NM, Taal HR, Newnham JP, Beilin LJ, Lye SJ, Palmer LJ, Hofman A, Steegers EAP, Pennell CE, Jaddoe VWV. Variants near CCNL1/LEKR1 and in ADCY5 and fetal growth characteristics in different trimesters. J Clin Endocrinol Metab 2011; 96:E810-5. [PMID: 21307140 DOI: 10.1210/jc.2010-2316] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
CONTEXT A recent genome-wide association study identified variants near CCNL1/LEKR1 (rs900400) and in ADCY5 (rs9883204) to be associated with birth weight. We examined the associations of these variants with fetal growth characteristics in different trimesters, with a main interest in the timing of the associations and the affected body proportions. METHODS We used data from two prospective cohort studies from fetal life onward in The Netherlands and Australia. Repeated fetal ultrasound examinations were performed to measure head circumference (HC), abdominal circumference (AC), femur length (FL), and estimated fetal weight (EFW). Analyses were based on a total group of 3909 subjects. RESULTS The C-allele of rs900400 was associated in second trimester with smaller fetal HC and FL, and in third trimester with smaller HC, AC, FL, and EFW. For each C-allele, the combined effect estimate for EFW in third trimester was -18.6 g (95% confidence interval, -27.5, -9.7 g; P = 4.2 × 10(-5)). The C-allele of rs9883204 was not associated with fetal growth characteristics in second trimester but was associated with restriction of all growth characteristics, except HC, in third trimester and at birth. For each C-allele, the combined effect estimate was -16.9 g (95% confidence interval, -26.8, -7.0 g; P = 8.4 × 10(-4)) for EFW in third trimester. Both genetic variants were associated with lower birth and placenta weight. CONCLUSIONS Our results suggest that a genetic variant of rs900400 leads to symmetric growth restriction from early pregnancy onward, whereas a genetic variant of rs9883204 leads to asymmetric growth restriction, characterized by a relatively larger HC, from third trimester.
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Affiliation(s)
- Dennis O Mook-Kanamori
- The Generation R Study Group and Department of Epidemiology, Erasmus Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
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Geelhoed JJM, Taal HR, Steegers EAP, Arends LR, Lequin M, Moll HA, Hofman A, van der Heijden AJ, Jaddoe VWV. Kidney growth curves in healthy children from the third trimester of pregnancy until the age of two years. The Generation R Study. Pediatr Nephrol 2010; 25:289-98. [PMID: 19898876 PMCID: PMC7811527 DOI: 10.1007/s00467-009-1335-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2009] [Revised: 09/02/2009] [Accepted: 09/16/2009] [Indexed: 11/29/2022]
Abstract
Information about growth of kidney structures in early life is limited. In a population-based prospective cohort study, from foetal life onwards, we constructed reference curves for kidney growth from the third trimester of pregnancy until early childhood, using data from 1,158 healthy children. Kidney size, defined as length, width, depth and volume, was measured in the third trimester of pregnancy and at the postnatal ages of 6 months and 24 months. Analyses were based on more than 2,500 kidney measurements. In the third trimester of pregnancy and at 6 months of age all kidney measurements were larger in boys than in girls. At 24 months of age, these gender differences were only significant for left kidney structures and right kidney length. Both groups showed trends towards smaller left kidney measurements than right kidney measurements at all ages. Gender-specific reference curves based on post-conceptional and postnatal ages were constructed for left and right kidney length, width, depth and volume. We concluded that kidney size is influenced by age and gender. Left kidney size tended to be smaller than right kidney size, except for kidney length. The reference curves can be used for assessing kidney structures by ultrasound in foetal life and early childhood.
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Affiliation(s)
- J. J. Miranda Geelhoed
- The Generation R Study Group (AE-006), Erasmus Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - H. Rob Taal
- The Generation R Study Group (AE-006), Erasmus Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Eric A. P. Steegers
- Department of Obstetrics & Gynecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Lidia R. Arends
- Department of Biostatistics, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Psychology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Maarten Lequin
- Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Henriëtte A. Moll
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Vincent W. V. Jaddoe
- The Generation R Study Group (AE-006), Erasmus Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
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de Herder WW, Taal HR, Uitterlinden P, Feelders RA, Janssen JAMJL, van der Lely AJ. Limited predictive value of an acute test with subcutaneous octreotide for long-term IGF-I normalization with Sandostatin LAR in acromegaly. Eur J Endocrinol 2005; 153:67-71. [PMID: 15994747 DOI: 10.1530/eje.1.01935] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVES To study whether the growth hormone (GH) response after the subcutaneous administration 50 microg of octreotide (acute octreotide test) has any predictive value for long-term IGF-I normalization with Sandostatin LAR. DESIGN Twenty four therapy-naive patients with active acromegaly were studied. RESULTS > 75% GH decrease in the acute octreotide test predicted long-term IGF-I normalization with Sandostatin LAR in 8/11 (73%) of patients. 3/13 (23%) patients with < 75% GH decrease in the acute octreotide test were long-term biochemically controlled with Sandostatin LAR. Using the > 75% GH reduction criterion, the sensitivity and specificity of this test for predicting long-term normalization of serum IGF-I with Sandostatin LAR treatment were 73% and 77%, respectively (positive and negative predictive values: 73% and 77%, respectively). 6/8 (75%) patients with GH suppression to levels < 1.1 microg/l and 9/16 (56%) patients with GH suppression to levels < 2 microg/l in the acute octreotide test showed normalization of serum IGF-I with long-term Sandostatin LAR treatment. The sensitivity and specificity of GH suppression < 1.1 microg/l for predicting of the long-term normalization of serum IGF-I with Sandostatin LAR therapy were 55% and 85%, respectively (positive and negative predictive values: 75% and 69%, respectively). The sensitivity and specificity of GH suppression < 2 microg/l for predicting of the long-term normalization of serum IGF-I with Sandostatin LAR therapy were 82% and 46%, respectively (positive and negative predictive values: 56% and 75%, respectively). CONCLUSION The acute octreotide is not recommended for clinical decision making with regard to long-term treatment using the long-acting somatostatin analog Sandostatin LAR in acromegaly.
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Affiliation(s)
- Wouter W de Herder
- Section of Endocrinology, Department of Internal Medicine, Erasmus MC, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands.
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