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The Generation R Study: Biobank update 2015

  • STUDY UPDATE
  • Published:
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Abstract

The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic causes and causal pathways leading to normal and abnormal growth, development and health from fetal life, childhood and young adulthood. In total, 9,778 mothers were enrolled in the study. Data collection in children and their parents include questionnaires, interviews, detailed physical and ultrasound examinations, behavioural observations, Magnetic Resonance Imaging and biological samples. Efforts have been conducted for collecting biological samples including blood, hair, faeces, nasal swabs, saliva and urine samples and generating genomics data on DNA, RNA and microbiome. In this paper, we give an update of the collection, processing and storage of these biological samples and available measures. Together with detailed phenotype measurements, these biological samples provide a unique resource for epidemiological studies focused on environmental exposures, genetic and genomic determinants and their interactions in relation to growth, health and development from fetal life onwards.

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References

  1. Hofman A, Jaddoe VW, Mackenbach JP, Moll HA, Snijders RF, Steegers EA, et al. Growth, development and health from early fetal life until young adulthood: the Generation R Study. Paediatr Perinat Epidemiol. 2004;18(1):61–72.

    PubMed  Google Scholar 

  2. Jaddoe VW, van Duijn CM, van der Heijden AJ, Mackenbach JP, Moll HA, Steegers EA, et al. The Generation R Study: design and cohort update until the age of 4 years. Eur J Epidemiol. 2008;23(12):801–11.

    PubMed  Google Scholar 

  3. Jaddoe VW, van Duijn CM, van der Heijden AJ, Mackenbach JP, Moll HA, Steegers EA, et al. The Generation R Study: design and cohort update 2010. Eur J Epidemiol. 2010;25(11):823–41.

    PubMed Central  PubMed  Google Scholar 

  4. Jaddoe VW, van Duijn CM, Franco OH, van der Heijden AJ, van Iizendoorn MH, de Jongste JC, et al. The Generation R Study: design and cohort update 2012. Eur J Epidemiol. 2012;27(9):739–56.

    PubMed  Google Scholar 

  5. Jaddoe VW, Bakker R, van Duijn CM, van der Heijden AJ, Lindemans J, Mackenbach JP, et al. The Generation R Study Biobank: a resource for epidemiological studies in children and their parents. Eur J Epidemiol. 2007;22(12):917–23.

    PubMed Central  PubMed  Google Scholar 

  6. White T, El Marroun H, Nijs I, Schmidt M, van der Lugt A, Wielopolki PA, et al. Pediatric population-based neuroimaging and the Generation R Study: the intersection of developmental neuroscience and epidemiology. Eur J Epidemiol. 2013;28(1):99–111.

    PubMed  Google Scholar 

  7. Firoozi F, Lemiere C, Beauchesne MF, Perreault S, Forget A, Blais L. Impact of maternal asthma on perinatal outcomes: a two-stage sampling cohort study. Eur J Epidemiol. 2012;27(3):205–14.

    PubMed  Google Scholar 

  8. Baba S, Wikstrom AK, Stephansson O, Cnattingius S. Influence of smoking and snuff cessation on risk of preterm birth. Eur J Epidemiol. 2012;27(4):297–304.

    PubMed  Google Scholar 

  9. Bluming AZ. Breast cancer following diethylstilbestrol exposure in utero: a tragedy? Eur J Epidemiol. 2012;27(4):317–8 (author reply 8).

    PubMed  Google Scholar 

  10. Niederkrotenthaler T, Rasmussen F, Mittendorfer-Rutz E. Perinatal conditions and parental age at birth as risk markers for subsequent suicide attempt and suicide: a population based case–control study. Eur J Epidemiol. 2012;27(9):729–38.

    PubMed  Google Scholar 

  11. Jacobsen BK, Knutsen SF, Oda K, Fraser GE. Obesity at age 20 and the risk of miscarriages, irregular periods and reported problems of becoming pregnant: the Adventist Health Study-2. Eur J Epidemiol. 2012;27(12):923–31.

    PubMed Central  PubMed  Google Scholar 

  12. Naver KV, Secher NJ, Ovesen PG, Gorst-Rasmussen A, Lundbye-Christensen S, Nilas L. Offspring preterm birth and birth size are related to long-term risk of maternal diabetes. Eur J Epidemiol. 2013;28(5):427–32.

    PubMed  Google Scholar 

  13. Ludvigsson JF, Zugna D, Cnattingius S, Richiardi L, Ekbom A, Ortqvist A, et al. Influenza H1N1 vaccination and adverse pregnancy outcome. Eur J Epidemiol. 2013;28(7):579–88.

    CAS  PubMed  Google Scholar 

  14. Nezvalova-Henriksen K, Spigset O, Nordeng H. Triptan safety during pregnancy: a Norwegian population registry study. Eur J Epidemiol. 2013;28(9):759–69.

    PubMed  Google Scholar 

  15. Kelly-Irving M, Lepage B, Dedieu D, Bartley M, Blane D, Grosclaude P, et al. Adverse childhood experiences and premature all-cause mortality. Eur J Epidemiol. 2013;28(9):721–34.

    PubMed Central  PubMed  Google Scholar 

  16. Rozendaal AM, van Essen AJ, te Meerman GJ, Bakker MK, van der Biezen JJ, Goorhuis-Brouwer SM, et al. Periconceptional folic acid associated with an increased risk of oral clefts relative to non-folate related malformations in the Northern Netherlands: a population based case–control study. Eur J Epidemiol. 2013;28(11):875–87.

    CAS  PubMed  Google Scholar 

  17. Luque-Fernandez MA, Franco M, Gelaye B, Schomaker M, Garitano IG, D’Este C, et al. Unemployment and stillbirth risk among foreign-born and Spanish pregnant women in Spain, 2007-2010: a multilevel analysis study. Eur J Epidemiol. 2013;28(12):991–9.

    PubMed  Google Scholar 

  18. Juutilainen A, Kastarinen H, Antikainen R, Peltonen M, Salomaa V, Tuomilehto J, et al. Trends in estimated kidney function: the FINRISK surveys. Eur J Epidemiol. 2012;27(4):305–13.

    CAS  PubMed  Google Scholar 

  19. Petersen CB, Gronbaek M, Helge JW, Thygesen LC, Schnohr P, Tolstrup JS. Changes in physical activity in leisure time and the risk of myocardial infarction, ischemic heart disease, and all-cause mortality. Eur J Epidemiol. 2012;27(2):91–9.

    PubMed  Google Scholar 

  20. Costanza MC, Beer-Borst S, James RW, Gaspoz JM, Morabia A. Consistency between cross-sectional and longitudinal SNP: blood lipid associations. Eur J Epidemiol. 2012;27(2):131–8.

    PubMed  Google Scholar 

  21. van Oeffelen AA, Agyemang C, Bots ML, Stronks K, Koopman C, van Rossem L, et al. The relation between socioeconomic status and short-term mortality after acute myocardial infarction persists in the elderly: results from a nationwide study. Eur J Epidemiol. 2012;27(8):605–13.

    PubMed Central  PubMed  Google Scholar 

  22. Cook NR, Cole SR, Buring JE. Aspirin in the primary prevention of cardiovascular disease in the Women’s Health Study: effect of noncompliance. Eur J Epidemiol. 2012;27(6):431–8.

    CAS  PubMed Central  PubMed  Google Scholar 

  23. Nuesch E, Dale CE, Amuzu A, Kuper H, Bowling A, Ploubidis GB, et al. Inflammation, coagulation and risk of locomotor disability in elderly women: findings from the British Women’s Heart and Health Study. Eur J Epidemiol. 2012;27(8):633–45.

    PubMed  Google Scholar 

  24. Hansson J, Galanti MR, Hergens MP, Fredlund P, Ahlbom A, Alfredsson L, et al. Use of snus and acute myocardial infarction: pooled analysis of eight prospective observational studies. Eur J Epidemiol. 2012;27(10):771–9.

    PubMed  Google Scholar 

  25. Grau M, Sala C, Sala J, Masia R, Vila J, Subirana I, et al. Sex-related differences in prognosis after myocardial infarction: changes from 1978 to 2007. Eur J Epidemiol. 2012;27(11):847–55.

    PubMed  Google Scholar 

  26. Nordahl H, Rod NH, Frederiksen BL, Andersen I, Lange T, Diderichsen F, et al. Education and risk of coronary heart disease: assessment of mediation by behavioral risk factors using the additive hazards model. Eur J Epidemiol. 2013;28(2):149–57.

    PubMed  Google Scholar 

  27. Larsson SC, Orsini N, Wolk A. Long-chain omega-3 polyunsaturated fatty acids and risk of stroke: a meta-analysis. Eur J Epidemiol. 2012;27(12):895–901.

    CAS  PubMed  Google Scholar 

  28. Karppi J, Kurl S, Makikallio TH, Ronkainen K, Laukkanen JA. Low levels of plasma carotenoids are associated with an increased risk of atrial fibrillation. Eur J Epidemiol. 2013;28(1):45–53.

    CAS  PubMed  Google Scholar 

  29. Kiefte-de Jong JC, Chowdhury R, Franco OH. Fish intake or omega-3 fatty acids: greater than the sum of all parts? Eur J Epidemiol. 2012;27(12):891–4.

    PubMed  Google Scholar 

  30. Clays E, De Bacquer D, Janssens H, De Clercq B, Casini A, Braeckman L, et al. The association between leisure time physical activity and coronary heart disease among men with different physical work demands: a prospective cohort study. Eur J Epidemiol. 2013;28(3):241–7.

    PubMed  Google Scholar 

  31. Pequignot R, Tzourio C, Peres K, Ancellin ML, Perier MC, Ducimetiere P, et al. Depressive symptoms, antidepressants and disability and future coronary heart disease and stroke events in older adults: the Three City Study. Eur J Epidemiol. 2013;28(3):249–56.

    CAS  PubMed  Google Scholar 

  32. Brown MC, Best KE, Pearce MS, Waugh J, Robson SC, Bell R. Cardiovascular disease risk in women with pre-eclampsia: systematic review and meta-analysis. Eur J Epidemiol. 2013;28(1):1–19.

    PubMed  Google Scholar 

  33. Mishra GD, Chiesa F, Goodman A, De Stavola B, Koupil I. Socio-economic position over the life course and all-cause, and circulatory diseases mortality at age 50–87 years: results from a Swedish birth cohort. Eur J Epidemiol. 2013;28(2):139–47.

    PubMed  Google Scholar 

  34. Kunutsor SK, Apekey TA, Steur M. Vitamin D and risk of future hypertension: meta-analysis of 283,537 participants. Eur J Epidemiol. 2013;28(3):205–21.

    CAS  PubMed  Google Scholar 

  35. Virta JJ, Heikkila K, Perola M, Koskenvuo M, Raiha I, Rinne JO, et al. Midlife cardiovascular risk factors and late cognitive impairment. Eur J Epidemiol. 2013;28(5):405–16.

    PubMed  Google Scholar 

  36. Behrens G, Fischer B, Kohler S, Park Y, Hollenbeck AR, Leitzmann MF. Healthy lifestyle behaviors and decreased risk of mortality in a large prospective study of U.S. women and men. Eur J Epidemiol. 2013;28(5):361–72.

    PubMed  Google Scholar 

  37. Threapleton DE, Greenwood DC, Burley VJ, Aldwairji M, Cade JE. Dietary fibre and cardiovascular disease mortality in the UK Women’s Cohort Study. Eur J Epidemiol. 2013;28(4):335–46.

    CAS  PubMed  Google Scholar 

  38. Westerlund A, Bellocco R, Sundstrom J, Adami HO, Akerstedt T, Trolle Lagerros Y. Sleep characteristics and cardiovascular events in a large Swedish cohort. Eur J Epidemiol. 2013;28(6):463–73.

    PubMed  Google Scholar 

  39. Wu Y, Li S, Zhang D. Circulating 25-hydroxyvitamin D levels and hypertension risk. Eur J Epidemiol. 2013;28(7):611–6.

    PubMed  Google Scholar 

  40. Ahmadi-Abhari S, Luben RN, Wareham NJ, Khaw KT. Seventeen year risk of all-cause and cause-specific mortality associated with C-reactive protein, fibrinogen and leukocyte count in men and women: the EPIC-Norfolk study. Eur J Epidemiol. 2013;28(7):541–50.

    CAS  PubMed  Google Scholar 

  41. Rahman I, Humphreys K, Bennet AM, Ingelsson E, Pedersen NL, Magnusson PK. Clinical depression, antidepressant use and risk of future cardiovascular disease. Eur J Epidemiol. 2013;28(7):589–95.

    CAS  PubMed  Google Scholar 

  42. Jorde R, Schirmer H, Njolstad I, Lochen ML, Bogeberg Mathiesen E, Kamycheva E, et al. Serum calcium and the calcium-sensing receptor polymorphism rs17251221 in relation to coronary heart disease, type 2 diabetes, cancer and mortality: the Tromso Study. Eur J Epidemiol. 2013;28(7):569-78.

  43. Faeh D, Rohrmann S, Braun J. Better risk assessment with glycated hemoglobin instead of cholesterol in CVD risk prediction charts. Eur J Epidemiol. 2013;28(7):551–5.

    CAS  PubMed  Google Scholar 

  44. Simone B, De Stefano V, Leoncini E, Zacho J, Martinelli I, Emmerich J, et al. Risk of venous thromboembolism associated with single and combined effects of factor V Leiden, prothrombin 20210A and methylenetethraydrofolate reductase C677T: a meta-analysis involving over 11,000 cases and 21,000 controls. Eur J Epidemiol. 2013;28(8):621–47.

    CAS  PubMed Central  PubMed  Google Scholar 

  45. Malerba S, Turati F, Galeone C, Pelucchi C, Verga F, La Vecchia C, et al. A meta-analysis of prospective studies of coffee consumption and mortality for all causes, cancers and cardiovascular diseases. Eur J Epidemiol. 2013;28(7):527–39.

    PubMed  Google Scholar 

  46. Julin B, Wolk A, Thomas LD, Akesson A. Exposure to cadmium from food and risk of cardiovascular disease in men: a population-based prospective cohort study. Eur J Epidemiol. 2013;28(10):837–40.

    PubMed  Google Scholar 

  47. Hou L, Lloyd-Jones DM, Ning H, Huffman MD, Fornage M, He K, et al. White blood cell count in young adulthood and coronary artery calcification in early middle age: coronary artery risk development in young adults (CARDIA) study. Eur J Epidemiol. 2013;28(9):735–42.

    PubMed  Google Scholar 

  48. Kershaw KN, Droomers M, Robinson WR, Carnethon MR, Daviglus ML, Monique Verschuren WM. Quantifying the contributions of behavioral and biological risk factors to socioeconomic disparities in coronary heart disease incidence: the MORGEN study. Eur J Epidemiol. 2013;28(10):807–14.

    PubMed  Google Scholar 

  49. Schmidt M, Botker HE, Pedersen L, Sorensen HT. Adult height and risk of ischemic heart disease, atrial fibrillation, stroke, venous thromboembolism, and premature death: a population based 36-year follow-up study. Eur J Epidemiol. 2014;29(2):111–8.

    PubMed  Google Scholar 

  50. Kunutsor SK, Burgess S, Munroe PB, Khan H. Vitamin D and high blood pressure: causal association or epiphenomenon? Eur J Epidemiol. 2014;29(1):1–14.

    CAS  PubMed  Google Scholar 

  51. Ma L, Oei L, Jiang L, Estrada K, Chen H, Wang Z, et al. Association between bone mineral density and type 2 diabetes mellitus: a meta-analysis of observational studies. Eur J Epidemiol. 2012;27(5):319–32.

    CAS  PubMed Central  PubMed  Google Scholar 

  52. Kharazmi E, Lukanova A, Teucher B, Gross ML, Kaaks R. Does pregnancy or pregnancy loss increase later maternal risk of diabetes? Eur J Epidemiol. 2012;27(5):357–66.

    PubMed  Google Scholar 

  53. Demakakos P, Marmot M, Steptoe A. Socioeconomic position and the incidence of type 2 diabetes: the ELSA study. Eur J Epidemiol. 2012;27(5):367–78.

    PubMed  Google Scholar 

  54. Tamayo T, Jacobs DR Jr, Strassburger K, Giani G, Seeman TE, Matthews K, et al. Race- and sex-specific associations of parental education with insulin resistance in middle-aged participants: the CARDIA study. Eur J Epidemiol. 2012;27(5):349–55.

    PubMed  Google Scholar 

  55. Galli L, Salpietro S, Pellicciotta G, Galliani A, Piatti P, Hasson H, et al. Risk of type 2 diabetes among HIV-infected and healthy subjects in Italy. Eur J Epidemiol. 2012;27(8):657–65.

    PubMed  Google Scholar 

  56. Lagerros YT, Cnattingius S, Granath F, Hanson U, Wikstrom AK. From infancy to pregnancy: birth weight, body mass index, and the risk of gestational diabetes. Eur J Epidemiol. 2012;27(10):799–805.

    PubMed  Google Scholar 

  57. Schottker B, Herder C, Rothenbacher D, Perna L, Muller H, Brenner H. Serum 25-hydroxyvitamin D levels and incident diabetes mellitus type 2: a competing risk analysis in a large population-based cohort of older adults. Eur J Epidemiol. 2013;28(3):267–75.

    PubMed  Google Scholar 

  58. Satman I, Omer B, Tutuncu Y, Kalaca S, Gedik S, Dinccag N, et al. Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol. 2013;28(2):169–80.

    PubMed Central  PubMed  Google Scholar 

  59. Min JY, Min KB. Serum C-peptide levels as an independent predictor of diabetes mellitus mortality in non-diabetic individuals. Eur J Epidemiol. 2013;28(9):771–4.

    PubMed  Google Scholar 

  60. Buijsse B, Boeing H, Hirche F, Weikert C, Schulze MB, Gottschald M, et al. Plasma 25-hydroxyvitamin D and its genetic determinants in relation to incident type 2 diabetes: a prospective case-cohort study. Eur J Epidemiol. 2013;28(9):743–52.

    CAS  PubMed  Google Scholar 

  61. Johnson PC, Logue J, McConnachie A, Abu-Rmeileh NM, Hart C, Upton MN, et al. Intergenerational change and familial aggregation of body mass index. Eur J Epidemiol. 2012;27(1):53–61.

    PubMed  Google Scholar 

  62. Iversen LB, Strandberg-Larsen K, Prescott E, Schnohr P, Rod NH. Psychosocial risk factors, weight changes and risk of obesity: the Copenhagen City Heart Study. Eur J Epidemiol. 2012;27(2):119–30.

    PubMed  Google Scholar 

  63. Rossi IA, Bochud M, Bovet P, Paccaud F, Waeber G, Vollenweider P, et al. Sex difference and the role of leptin in the association between high-sensitivity C-reactive protein and adiposity in two different populations. Eur J Epidemiol. 2012;27(5):379–84.

    CAS  PubMed  Google Scholar 

  64. Nan C, Guo B, Warner C, Fowler T, Barrett T, Boomsma D, et al. Heritability of body mass index in pre-adolescence, young adulthood and late adulthood. Eur J Epidemiol. 2012;27(4):247–53.

    PubMed  Google Scholar 

  65. Park SY, Wilkens LR, Murphy SP, Monroe KR, Henderson BE, Kolonel LN. Body mass index and mortality in an ethnically diverse population: the Multiethnic Cohort Study. Eur J Epidemiol. 2012;27(7):489–97.

    PubMed  Google Scholar 

  66. Rosenblad A, Nilsson G, Leppert J. Intelligence level in late adolescence is inversely associated with BMI change during 22 years of follow-up: results from the WICTORY study. Eur J Epidemiol. 2012;27(8):647–55.

    PubMed  Google Scholar 

  67. Lissner L, Lanfer A, Gwozdz W, Olafsdottir S, Eiben G, Moreno LA, et al. Television habits in relation to overweight, diet and taste preferences in European children: the IDEFICS study. Eur J Epidemiol. 2012;27(9):705–15.

    PubMed Central  PubMed  Google Scholar 

  68. Behrens G, Matthews CE, Moore SC, Freedman ND, McGlynn KA, Everhart JE, et al. The association between frequency of vigorous physical activity and hepatobiliary cancers in the NIH-AARP Diet and Health Study. Eur J Epidemiol. 2013;28(1):55–66.

    PubMed Central  PubMed  Google Scholar 

  69. Sabanayagam C, Wong TY, Xiao J, Shankar A. Serum cystatin C and prediabetes in non-obese US adults. Eur J Epidemiol. 2013;28(4):311–6.

    CAS  PubMed  Google Scholar 

  70. Abbasi A, Corpeleijn E, Peelen LM, Gansevoort RT, de Jong PE, Gans RO, et al. External validation of the KORA S4/F4 prediction models for the risk of developing type 2 diabetes in older adults: the PREVEND study. Eur J Epidemiol. 2012;27(1):47–52.

    PubMed  Google Scholar 

  71. Claessen H, Brenner H, Drath C, Arndt V. Repeated measures of body mass index and risk of health related outcomes. Eur J Epidemiol. 2012;27(3):215–24.

    PubMed  Google Scholar 

  72. Brinks R, Tamayo T, Kowall B, Rathmann W. Prevalence of type 2 diabetes in Germany in 2040: estimates from an epidemiological model. Eur J Epidemiol. 2012;27(10):791–7.

    PubMed  Google Scholar 

  73. Miettola S, Hartikainen AL, Vaarasmaki M, Bloigu A, Ruokonen A, Jarvelin MR, et al. Offspring’s blood pressure and metabolic phenotype after exposure to gestational hypertension in utero. Eur J Epidemiol. 2013;28(1):87–98.

    CAS  PubMed  Google Scholar 

  74. Dai X, Yuan J, Yao P, Yang B, Gui L, Zhang X, et al. Association between serum uric acid and the metabolic syndrome among a middle- and old-age Chinese population. Eur J Epidemiol. 2013;28(8):669–76.

    CAS  PubMed  Google Scholar 

  75. Aune D, Norat T, Romundstad P, Vatten LJ. Whole grain and refined grain consumption and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of cohort studies. Eur J Epidemiol. 2013;28(11):845–58.

    CAS  PubMed  Google Scholar 

  76. Pekkanen J, Lampi J, Genuneit J, Hartikainen AL, Jarvelin MR. Analyzing atopic and non-atopic asthma. Eur J Epidemiol. 2012;27(4):281–6.

    CAS  PubMed  Google Scholar 

  77. Duijts L. Fetal and infant origins of asthma. Eur J Epidemiol. 2012;27(1):5–14.

    PubMed Central  PubMed  Google Scholar 

  78. Gabriele C, Silva LM, Arends LR, Raat H, Moll HA, Hofman A, et al. Early respiratory morbidity in a multicultural birth cohort: the Generation R Study. Eur J Epidemiol. 2012;27(6):453–62.

    PubMed Central  PubMed  Google Scholar 

  79. Heikkinen SA, Quansah R, Jaakkola JJ, Jaakkola MS. Effects of regular exercise on adult asthma. Eur J Epidemiol. 2012;27(6):397–407.

    PubMed  Google Scholar 

  80. Patel S, Henderson J, Jeffreys M, Davey Smith G, Galobardes B. Associations between socioeconomic position and asthma: findings from a historical cohort. Eur J Epidemiol. 2012;27(8):623–31.

    PubMed Central  PubMed  Google Scholar 

  81. Broms K, Norback D, Sundelin C, Eriksson M, Svardsudd K. A nationwide study of asthma incidence rate and its determinants in Swedish pre-school children. Eur J Epidemiol. 2012;27(9):695–703.

    PubMed  Google Scholar 

  82. Figarska SM, Boezen HM, Vonk JM. Dyspnea severity, changes in dyspnea status and mortality in the general population: the Vlagtwedde/Vlaardingen study. Eur J Epidemiol. 2012;27(11):867–76.

    PubMed Central  PubMed  Google Scholar 

  83. Baughman P, Marott JL, Lange P, Martin CJ, Shankar A, Petsonk EL, et al. Combined effect of lung function level and decline increases morbidity and mortality risks. Eur J Epidemiol. 2012;27(12):933–43.

    PubMed  Google Scholar 

  84. Brostrom EB, Akre O, Katz-Salamon M, Jaraj D, Kaijser M. Obstructive pulmonary disease in old age among individuals born preterm. Eur J Epidemiol. 2013;28(1):79–85.

    PubMed  Google Scholar 

  85. MacIntyre EA, Carlsten C, MacNutt M, Fuertes E, Melen E, Tiesler CM, et al. Traffic, asthma and genetics: combining international birth cohort data to examine genetics as a mediator of traffic-related air pollution’s impact on childhood asthma. Eur J Epidemiol. 2013;28(7):597–606.

    CAS  PubMed  Google Scholar 

  86. Azevedo Da Silva M, Singh-Manoux A, Brunner EJ, Kaffashian S, Shipley MJ, Kivimaki M, et al. Bidirectional association between physical activity and symptoms of anxiety and depression: the Whitehall II study. Eur J Epidemiol. 2012;27(7):537–46.

    PubMed Central  PubMed  Google Scholar 

  87. Smithers LG, Golley RK, Mittinty MN, Brazionis L, Northstone K, Emmett P, et al. Dietary patterns at 6, 15 and 24 months of age are associated with IQ at 8 years of age. Eur J Epidemiol. 2012;27(7):525–35.

    CAS  PubMed  Google Scholar 

  88. Chowdhury R, Stevens S, Ward H, Chowdhury S, Sajjad A, Franco OH. Circulating vitamin D, calcium and risk of cerebrovascular disease: a systematic review and meta-analysis. Eur J Epidemiol. 2012;27(8):581–91.

    CAS  PubMed  Google Scholar 

  89. Novak M, Toren K, Lappas G, Kok WG, Jern C, Wilhelmsen L, et al. Occupational status and incidences of ischemic and hemorrhagic stroke in Swedish men: a population-based 35-year prospective follow-up study. Eur J Epidemiol. 2013;28(8):697–704.

    PubMed  Google Scholar 

  90. Mons U, Schottker B, Muller H, Kliegel M, Brenner H. History of lifetime smoking, smoking cessation and cognitive function in the elderly population. Eur J Epidemiol. 2013;28(10):823–31.

    PubMed  Google Scholar 

  91. Adami HO, Lagiou P, Trichopoulos D. Breast cancer following diethylstilbestrol exposure in utero: insights from a tragedy. Eur J Epidemiol. 2012;27(1):1–3.

    CAS  PubMed  Google Scholar 

  92. Tennant PW, Parker L, Thomas JE, Craft SA, Pearce MS. Childhood infectious disease and premature death from cancer: a prospective cohort study. Eur J Epidemiol. 2013;28(3):257–65.

    PubMed  Google Scholar 

  93. Anic GM, Madden MH, Sincich K, Thompson RC, Nabors LB, Olson JJ, et al. Early life exposures and the risk of adult glioma. Eur J Epidemiol. 2013;28(9):753–8.

    PubMed Central  PubMed  Google Scholar 

  94. Raoult D, Foti B, Aboudharam G. Historical and geographical parallelism between the incidence of dental caries, Streptococcus mutans and sugar intake. Eur J Epidemiol. 2013;28(8):709–10.

    PubMed Central  PubMed  Google Scholar 

  95. Miller SA, Dykes DD, Polesky HF. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res. 1988;16(3):1215.

    CAS  PubMed Central  PubMed  Google Scholar 

  96. Mook-Kanamori DO, Steegers EA, Eilers PH, Raat H, Hofman A, Jaddoe VW. Risk factors and outcomes associated with first-trimester fetal growth restriction. JAMA. 2010;303(6):527–34.

    CAS  PubMed  Google Scholar 

  97. Tromp II, Gaillard R, Kiefte-de Jong JC, Steegers EA, Jaddoe VW, Duijts L, et al. Maternal hemoglobin levels during pregnancy and asthma in childhood: the Generation R Study. Ann Allergy Asthma Immunol. 2014;112(3):263–5.

    CAS  PubMed  Google Scholar 

  98. Gaillard R, Eilers PH, Yassine S, Hofman A, Steegers EA, Jaddoe VW. Risk factors and consequences of maternal anaemia and elevated haemoglobin levels during pregnancy: a population-based prospective cohort study. Paediatr Perinat Epidemiol. 2014;28(3):213–26.

    PubMed  Google Scholar 

  99. Welten M, Gaillard R, Hofman A, de Jonge L, Jaddoe V. Maternal haemoglobin levels and cardio-metabolic risk factors in childhood: the Generation R Study. BJOG. 2014.

  100. Coolman M, Timmermans S, de Groot CJ, Russcher H, Lindemans J, Hofman A, et al. Angiogenic and fibrinolytic factors in blood during the first half of pregnancy and adverse pregnancy outcomes. Obstet Gynecol. 2012;119(6):1190–200.

    PubMed  Google Scholar 

  101. Bouwland-Both MI, Steegers EA, Lindemans J, Russcher H, Hofman A, Geurts-Moespot AJ, et al. Maternal soluble fms-like tyrosine kinase-1, placental growth factor, plasminogen activator inhibitor-2, and folate concentrations and early fetal size: the Generation R study. Am J Obstet Gynecol. 2013;209(2):121 e1–11.

    Google Scholar 

  102. Brown ZA, Schalekamp-Timmermans S, Tiemeier HW, Hofman A, Jaddoe VW, Steegers EA. Fetal sex specific differences in human placentation: a prospective cohort study. Placenta. 2014;35(6):359–64.

    CAS  PubMed  Google Scholar 

  103. Henrichs J, Bongers-Schokking JJ, Schenk JJ, Ghassabian A, Schmidt HG, Visser TJ, et al. Maternal thyroid function during early pregnancy and cognitive functioning in early childhood: the generation R study. J Clin Endocrinol Metab. 2010;95(9):4227–34.

    CAS  PubMed  Google Scholar 

  104. Ghassabian A, Bongers-Schokking JJ, Henrichs J, Jaddoe VW, Visser TJ, Visser W, et al. Maternal thyroid function during pregnancy and behavioral problems in the offspring: the generation R study. Pediatr Res. 2011;69(5 Pt 1):454–9.

    CAS  PubMed  Google Scholar 

  105. Medici M, de Rijke YB, Peeters RP, Visser W, de Muinck Keizer-Schrama SM, Jaddoe VV, et al. Maternal early pregnancy and newborn thyroid hormone parameters: the Generation R study. J Clin Endocrinol Metab. 2012;97(2):646–52.

    CAS  PubMed  Google Scholar 

  106. Ghassabian A, Bongers-Schokking JJ, de Rijke YB, van Mil N, Jaddoe VW, de Muinck Keizer-Schrama SM, et al. Maternal thyroid autoimmunity during pregnancy and the risk of attention deficit/hyperactivity problems in children: the Generation R Study. Thyroid. 2012;22(2):178–86.

    CAS  PubMed Central  PubMed  Google Scholar 

  107. van Mil NH, Steegers-Theunissen RP, Bongers-Schokking JJ, El Marroun H, Ghassabian A, Hofman A, et al. Maternal hypothyroxinemia during pregnancy and growth of the fetal and infant head. Reprod Sci. 2012;19(12):1315–22.

    PubMed  Google Scholar 

  108. Medici M, Timmermans S, Visser W, de Muinck Keizer-Schrama SM, Jaddoe VW, Hofman A, et al. Maternal thyroid hormone parameters during early pregnancy and birth weight: the Generation R Study. J Clin Endocrinol Metab. 2013;98(1):59–66.

    CAS  PubMed  Google Scholar 

  109. Korevaar TI, Medici M, de Rijke YB, Visser W, de Muinck Keizer-Schrama SM, Jaddoe VW, et al. Ethnic differences in maternal thyroid parameters during pregnancy: the Generation R study. J Clin Endocrinol Metab. 2013;98(9):3678–86.

    CAS  PubMed  Google Scholar 

  110. Roman GC, Ghassabian A, Bongers-Schokking JJ, Jaddoe VW, Hofman A, de Rijke YB, et al. Association of gestational maternal hypothyroxinemia and increased autism risk. Ann Neurol. 2013;74(5):733–42.

    CAS  PubMed  Google Scholar 

  111. Medici M, Ghassabian A, Visser W, de Muinck Keizer-Schrama SM, Jaddoe VW, Visser WE, et al. Women with high early pregnancy urinary iodine levels have an increased risk of hyperthyroid newborns: the population-based Generation R Study. Clin Endocrinol (Oxf). 2014;80(4):598–606.

    CAS  Google Scholar 

  112. Korevaar TI, Schalekamp-Timmermans S, de Rijke YB, Visser WE, Visser W, de Muinck Keizer-Schrama SM, et al. Hypothyroxinemia and TPO-antibody positivity are risk factors for premature delivery:the generation R study. J Clin Endocrinol Metab. 2013;98(11):4382–90.

    CAS  PubMed  Google Scholar 

  113. Godoy GA, Korevaar TI, Peeters RP, Hofman A, de Rijke YB, Bongers-Schokking JJ, et al. Maternal thyroid hormones during pregnancy, childhood adiposity and cardiovascular risk factors: the Generation R Study. Clin Endocrinol (Oxf). 2014;81(1):117–25.

    CAS  Google Scholar 

  114. Ghassabian A, Henrichs J, Tiemeier H. Impact of mild thyroid hormone deficiency in pregnancy on cognitive function in children: lessons from the Generation R Study. Best Pract Res Clin Endocrinol Metab. 2014;28(2):221–32.

    CAS  PubMed  Google Scholar 

  115. Ghassabian A, El Marroun H, Peeters RP, Jaddoe VW, Hofman A, Verhulst FC, et al. Downstream effects of maternal hypothyroxinemia in early pregnancy: nonverbal IQ and brain morphology in school-age children. J Clin Endocrinol Metab. 2014;99(7):2383–90.

    CAS  PubMed  Google Scholar 

  116. Korevaar TI, Steegers EA, Schalekamp-Timmermans S, Ligthart S, de Rijke YB, Visser WE, et al. Soluble Flt1 and placental growth factor are novel determinants of newborn thyroid (dys)function: the generation R study. J Clin Endocrinol Metab. 2014;99(9):E1627–34.

    CAS  PubMed  Google Scholar 

  117. Medici M, Korevaar TI, Schalekamp-Timmermans S, Gaillard R, de Rijke YB, Visser WE, et al. Maternal early-pregnancy thyroid function is associated with subsequent hypertensive disorders of pregnancy: the Generation R Study. J Clin Endocrinol Metab. 2014;jc20141505.

  118. Gishti O, Gaillard R, Durmus B, Hofman A, Duijts L, Franco OH, et al. Infant diet and metabolic outcomes in school-age children. The Generation R Study. Eur J Clin Nutr. 2014;68(9):1008–15.

    CAS  PubMed  Google Scholar 

  119. Duijts L, Bakker-Jonges LE, Labout JA, Jaddoe VW, Hofman A, Steegers EA, et al. Perinatal stress influences lymphocyte subset counts in neonates. The Generation R Study. Pediatr Res. 2008;63(3):292–8.

    PubMed  Google Scholar 

  120. Duijts L, Bakker-Jonges LE, Mook-Kanamori DO, Labout JA, Hofman A, van Duijn CM, et al. Variation in the IGF-1 gene is associated with lymphocyte subset counts in neonates: the Generation R Study. Clin Endocrinol (Oxf). 2009;70(1):53–9.

    CAS  Google Scholar 

  121. Duijts L, Bakker-Jonges LE, Labout JA, Jaddoe VW, Hofman A, Steegers EA, et al. Fetal growth influences lymphocyte subset counts at birth: the Generation R Study. Neonatology. 2009;95(2):149–56.

    PubMed  Google Scholar 

  122. Lebon A, Verkaik NJ, de Vogel CP, Hooijkaas H, Verbrugh HA, van Wamel WJ, et al. The inverse correlation between Staphylococcus aureus and Streptococcus pneumoniae colonization in infants is not explained by differences in serum antibody levels in the Generation R Study. Clin Vaccine Immunol. 2011;18(1):180–3.

    CAS  PubMed Central  PubMed  Google Scholar 

  123. Lebon A, Verkaik NJ, Labout JA, de Vogel CP, Hooijkaas H, Verbrugh HA, et al. Natural antibodies against several pneumococcal virulence proteins in children during the pre-pneumococcal-vaccine era: the generation R study. Infect Immun. 2011;79(4):1680–7.

    CAS  PubMed Central  PubMed  Google Scholar 

  124. Ernst GD, de Jonge LL, Hofman A, Lindemans J, Russcher H, Steegers EA, et al. C-reactive protein levels in early pregnancy, fetal growth patterns, and the risk for neonatal complications: the Generation R Study. Am J Obstet Gynecol. 2011;205(2):132 e1–12.

    Google Scholar 

  125. Verhaegh SJ, de Vogel CP, Riesbeck K, Lafontaine ER, Murphy TF, Verbrugh HA, et al. Temporal development of the humoral immune response to surface antigens of Moraxella catarrhalis in young infants. Vaccine. 2011;29(34):5603–10.

    CAS  PubMed  Google Scholar 

  126. Verkaik NJ, Nguyen DT, de Vogel CP, Moll HA, Verbrugh HA, Jaddoe VW, et al. Streptococcus pneumoniae exposure is associated with human metapneumovirus seroconversion and increased susceptibility to in vitro HMPV infection. Clin Microbiol Infect. 2011;17(12):1840–4.

    CAS  PubMed  Google Scholar 

  127. de Jonge LL, Steegers EA, Ernst GD, Lindemans J, Russcher H, Hofman A, et al. C-reactive protein levels, blood pressure and the risks of gestational hypertensive complications: the Generation R Study. J Hypertens. 2011;29(12):2413–21.

    PubMed  Google Scholar 

  128. van den Hooven EH, de Kluizenaar Y, Pierik FH, Hofman A, van Ratingen SW, Zandveld PY, et al. Chronic air pollution exposure during pregnancy and maternal and fetal C-reactive protein levels: the Generation R Study. Environ Health Perspect. 2012;120(5):746–51.

    PubMed Central  PubMed  Google Scholar 

  129. Kiefte-de Jong JC, Jaddoe VW, Uitterlinden AG, Steegers EA, Willemsen SP, Hofman A, et al. Levels of antibodies against tissue transglutaminase during pregnancy are associated with reduced fetal weight and birth weight. Gastroenterology. 2013;144(4):726-35 e2.

    Google Scholar 

  130. Sonnenschein-van der Voort AM, Jaddoe VW, Moll HA, Hofman A, van der Valk RJ, de Jongste JC, et al. Influence of maternal and cord blood C-reactive protein on childhood respiratory symptoms and eczema. Pediatr Allergy Immunol. 2013;24(5):469–75.

    PubMed  Google Scholar 

  131. den Hollander WJ, Holster IL, den Hoed CM, van Deurzen F, van Vuuren AJ, Jaddoe VW, et al. Ethnicity is a strong predictor for Helicobacter pylori infection in young women in a multi-ethnic European city. J Gastroenterol Hepatol. 2013;28(11):1705–11.

    Google Scholar 

  132. den Hollander WJ, Holster IL, van Gilst B, van Vuuren AJ, Jaddoe VW, Hofman A, et al. Intergenerational reduction in Helicobacter pylori prevalence is similar between different ethnic groups living in a Western city. Gut. 2014.

  133. Jansen MA, Tromp II, Kiefte-de Jong JC, Jaddoe VW, Hofman A, Escher JC, et al. Infant feeding and anti-tissue transglutaminase antibody concentrations in the Generation R Study. Am J Clin Nutr. 2014;100(4):1095–101.

    CAS  PubMed  Google Scholar 

  134. Jansen MA, Kiefte-de Jong JC, Gaillard R, Escher JC, Hofman A, Jaddoe VW, et al. Growth trajectories and bone mineral density in anti-tissue transglutaminase antibody-positive children: the Generation R study. Clin Gastroenterol Hepatol. 2014.

  135. Bakker H, Kooijman MN, van der Heijden AJ, Hofman A, Franco OH, Taal HR, et al. Kidney size and function in a multi-ethnic population-based cohort of school-age children. Pediatr Nephrol. 2014;29(9):1589–98.

    PubMed  Google Scholar 

  136. Bakker H, Gaillard R, Franco OH, Hofman A, van der Heijden AJ, Steegers EA, et al. Fetal and infant growth patterns and kidney function at school age. J Am Soc Nephrol. 2014;25(11):2607–15.

    PubMed  Google Scholar 

  137. Kooijman MN, Bakker H, van der Heijden AJ, Hofman A, Franco OH, Steegers EA, et al. Childhood kidney outcomes in relation to fetal blood flow and kidney size. J Am Soc Nephrol. 2014;25(11):2616–24.

    CAS  PubMed  Google Scholar 

  138. Gaillard R, Steegers EA, Duijts L, Felix JF, Hofman A, Franco OH, et al. Childhood cardiometabolic outcomes of maternal obesity during pregnancy: the Generation R Study. Hypertension. 2014;63(4):683–91.

    CAS  PubMed  Google Scholar 

  139. Jaddoe VW, de Jonge LL, Hofman A, Franco OH, Steegers EA, Gaillard R. First trimester fetal growth restriction and cardiovascular risk factors in school age children: population based cohort study. BMJ. 2014;348:g14.

    PubMed Central  PubMed  Google Scholar 

  140. Gaillard R, Rurangirwa AA, Williams MA, Hofman A, Mackenbach JP, Franco OH, et al. Maternal parity, fetal and childhood growth, and cardiometabolic risk factors. Hypertension. 2014;64(2):266–74.

    CAS  PubMed  Google Scholar 

  141. Kiefte-de Jong JC, Timmermans S, Jaddoe VW, Hofman A, Tiemeier H, Steegers EA, et al. High circulating folate and vitamin B-12 concentrations in women during pregnancy are associated with increased prevalence of atopic dermatitis in their offspring. J Nutr. 2012;142(4):731–8.

    CAS  PubMed  Google Scholar 

  142. Bergen NE, Jaddoe VW, Timmermans S, Hofman A, Lindemans J, Russcher H, et al. Homocysteine and folate concentrations in early pregnancy and the risk of adverse pregnancy outcomes: the Generation R Study. BJOG. 2012;119(6):739–51.

    CAS  PubMed  Google Scholar 

  143. Steenweg-de Graaff J, Roza SJ, Steegers EA, Hofman A, Verhulst FC, Jaddoe VW, et al. Maternal folate status in early pregnancy and child emotional and behavioral problems: the Generation R Study. Am J Clin Nutr. 2012;95(6):1413–21.

    CAS  PubMed  Google Scholar 

  144. van der Valk RJ, Kiefte-de Jong JC, Sonnenschein-van der Voort AM, Duijts L, Hafkamp-de Groen E, Moll HA, et al. Neonatal folate, homocysteine, vitamin B12 levels and methylenetetrahydrofolate reductase variants in childhood asthma and eczema. Allergy. 2013;68(6):788–95.

    PubMed  Google Scholar 

  145. Steenweg-de Graaff J, Ghassabian A, Jaddoe VW, Tiemeier H, Roza SJ. Folate concentrations during pregnancy and autistic traits in the offspring. The Generation R Study. Eur J Public Health. 2014.

  146. Hofman A, van Duijn CM, Franco OH, Ikram MA, Janssen HL, Klaver CC, et al. The Rotterdam Study: 2012 objectives and design update. Eur J Epidemiol. 2011;26(8):657–86.

    PubMed Central  PubMed  Google Scholar 

  147. Ikram MA, van der Lugt A, Niessen WJ, Krestin GP, Koudstaal PJ, Hofman A, et al. The Rotterdam Scan Study: design and update up to 2012. Eur J Epidemiol. 2011;26(10):811–24.

    PubMed Central  PubMed  Google Scholar 

  148. Hofman A, Darwish Murad S, van Duijn CM, Franco OH, Goedegebure A, Ikram MA, et al. The Rotterdam Study: 2014 objectives and design update. Eur J Epidemiol. 2013;28(11):889–926.

    CAS  PubMed  Google Scholar 

  149. Medina-Gomez C, Kemp JP, Estrada K, Eriksson J, Liu J, Reppe S, et al. Meta-analysis of genome-wide scans for total body BMD in children and adults reveals allelic heterogeneity and age-specific effects at the WNT16 locus. PLoS Genet. 2012;8(7):e1002718.

    CAS  PubMed Central  PubMed  Google Scholar 

  150. Freathy RM, Mook-Kanamori DO, Sovio U, Prokopenko I, Timpson NJ, Berry DJ, et al. Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight. Nat Genet. 2010;42(5):430–5.

    CAS  PubMed Central  PubMed  Google Scholar 

  151. Paternoster L, Standl M, Chen CM, Ramasamy A, Bonnelykke K, Duijts L, et al. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis. Nat Genet. 2012;44(2):187–92.

    CAS  Google Scholar 

  152. Taal HR, Verwoert GC, Demirkan A, Janssens AC, Rice K, Ehret G, et al. Genome-wide profiling of blood pressure in adults and children. Hypertension. 2012;59(2):241–7.

    CAS  PubMed Central  PubMed  Google Scholar 

  153. Bradfield JP, Taal HR, Timpson NJ, Scherag A, Lecoeur C, Warrington NM, et al. A genome-wide association meta-analysis identifies new childhood obesity loci. Nat Genet. 2012;44(5):526–31.

    CAS  PubMed Central  PubMed  Google Scholar 

  154. Ikram MA, Fornage M, Smith AV, Seshadri S, Schmidt R, Debette S, et al. Common variants at 6q22 and 17q21 are associated with intracranial volume. Nat Genet. 2012;44(5):539–44.

    CAS  PubMed Central  PubMed  Google Scholar 

  155. Taal HR, St Pourcain B, Thiering E, Das S, Mook-Kanamori DO, Warrington NM, et al. Common variants at 12q15 and 12q24 are associated with infant head circumference. Nat Genet. 2012;44(5):532–8.

    CAS  PubMed Central  PubMed  Google Scholar 

  156. Horikoshi M, Yaghootkar H, Mook-Kanamori DO, Sovio U, Taal HR, Hennig BJ, et al. New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism. Nat Genet. 2013;45(1):76–82.

    CAS  PubMed Central  PubMed  Google Scholar 

  157. Benyamin B, Pourcain B, Davis OS, Davies G, Hansell NK, Brion MJ, et al. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry. 2014;19(2):253–8.

    CAS  PubMed Central  PubMed  Google Scholar 

  158. Cousminer DL, Berry DJ, Timpson NJ, Ang W, Thiering E, Byrne EM, et al. Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity. Hum Mol Genet. 2013;22(13):2735–47.

    CAS  PubMed Central  PubMed  Google Scholar 

  159. Bonnelykke K, Sleiman P, Nielsen K, Kreiner-Moller E, Mercader JM, Belgrave D, et al. A genome-wide association study identifies CDHR3 as a susceptibility locus for early childhood asthma with severe exacerbations. Nat Genet. 2014;46(1):51–5.

    CAS  PubMed  Google Scholar 

  160. van der Valk RJ, Duijts L, Timpson NJ, Salam MT, Standl M, Curtin JA, et al. Fraction of exhaled nitric oxide values in childhood are associated with 17q11.2-q12 and 17q12-q21 variants. J Allergy Clin Immunol. 2014;134(1):46–55.

    PubMed  Google Scholar 

  161. Benke KS, Nivard MG, Velders FP, Walters RK, Pappa I, Scheet PA, et al. A genome-wide association meta-analysis of preschool internalizing problems. J Am Acad Child Adolesc Psychiatry. 2014;53(6):667–76.

  162. Kemp JP, Medina-Gomez C, Estrada K, St Pourcain B, Heppe DH, Warrington NM, et al. Phenotypic dissection of bone mineral density reveals skeletal site specificity and facilitates the identification of novel loci in the genetic regulation of bone mass attainment. PLoS Genet. 2014;10(6):e1004423.

  163. Stergiakouli E, Gaillard R, Tavare JM, Balthasar N, Loos RJ, Taal HR, et al. Genome-wide association study of height-adjusted BMI in childhood identifies functional variant in ADCY3. Obesity (Silver Spring). 2014;22(10):2252–9.

    CAS  Google Scholar 

  164. Parmar PG, Marsh JA, Rob Taal H, Kowgier M, Uitterlinden AG, Rivadeneira F, et al. Polymorphisms in genes within the IGF-axis influence antenatal and postnatal growth. J Dev Orig Health Dis. 2013;4(2):157–69.

    CAS  PubMed  Google Scholar 

  165. Rietveld CA, Esko T, Davies G, Pers TH, Turley P, Benyamin B, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc Natl Acad Sci USA. 2014;111(38):13790–4.

    CAS  PubMed Central  PubMed  Google Scholar 

  166. St Pourcain B, Cents RA, Whitehouse AJ, Haworth CM, Davis OS, O’Reilly PF, et al. Common variation near ROBO2 is associated with expressive vocabulary in infancy. Nat Commun. 2014;5:4831.

    PubMed Central  PubMed  Google Scholar 

  167. van der Valk RJ, Kreiner-Moller E, Kooijman MN, Guxens M, Stergiakouli E, Saaf A, et al. A novel common variant in DCST2 is associated with length in early life and height in adulthood. Hum Mol Genet. 2014.

  168. Mook-Kanamori DO, Miranda Geelhoed JJ, Steegers EA, Witteman JC, Hofman A, Moll HA, et al. Insulin gene variable number of tandem repeats is not associated with weight from fetal life until infancy: the Generation R Study. Eur J Endocrinol. 2007;157(6):741–8.

    CAS  PubMed  Google Scholar 

  169. Geelhoed JJ, Mook-Kanamori DO, Witteman JC, Hofman A, van Duijn CM, Moll HA, et al. Variation in the IGF1 gene and growth in foetal life and infancy. The Generation R Study. Clin Endocrinol (Oxf). 2008;68(3):382–9.

    CAS  Google Scholar 

  170. van Houten VA, Mook-Kanamori DO, van Osch-Gevers L, Steegers EA, Hofman A, Moll HA, et al. A variant of the IGF-I gene is associated with blood pressure but not with left heart dimensions at the age of 2 years: the Generation R Study. Eur J Endocrinol. 2008;159(3):209–16.

    PubMed  Google Scholar 

  171. Mook-Kanamori DO, de Kort SW, van Duijn CM, Uitterlinden AG, Hofman A, Moll HA, et al. Type 2 diabetes gene TCF7L2 polymorphism is not associated with fetal and postnatal growth in two birth cohort studies. BMC Med Genet. 2009;10:67.

    PubMed Central  PubMed  Google Scholar 

  172. Mook-Kanamori DO, Steegers EA, Uitterlinden AG, Moll HA, van Duijn CM, Hofman A, et al. Breast-feeding modifies the association of PPARgamma2 polymorphism Pro12Ala with growth in early life: the Generation R Study. Diabetes. 2009;58(4):992–8.

    CAS  PubMed Central  PubMed  Google Scholar 

  173. de Kort SW, Mook-Kanamori DO, Jaddoe VW, Hokken-Koelega AC. Interactions between TCF7L2 genotype and growth hormone-induced changes in glucose homeostasis in small for gestational age children. Clin Endocrinol (Oxf). 2010;72(1):47–52.

    Google Scholar 

  174. Geelhoed MJ, Steegers EA, Koper JW, van Rossum EF, Moll HA, Raat H, et al. Glucocorticoid receptor gene polymorphisms do not affect growth in fetal and early postnatal life. The Generation R Study. BMC Med Genet. 2010;11:39.

    PubMed Central  PubMed  Google Scholar 

  175. Maas JA, Mook-Kanamori DO, Ay L, Steegers EA, van Duijn CM, Hofman A, et al. Insulin VNTR and IGF-1 promoter region polymorphisms are not associated with body composition in early childhood: the generation R study. Horm Res Paediatr. 2010;73(2):120–7.

    CAS  PubMed  Google Scholar 

  176. Geelhoed JJ, van Duijn C, van Osch-Gevers L, Steegers EA, Hofman A, Helbing WA, et al. Glucocorticoid receptor-9beta polymorphism is associated with systolic blood pressure and heart growth during early childhood. The Generation R Study. Early Hum Dev. 2011;87(2):97–102.

    CAS  PubMed  Google Scholar 

  177. Mook-Kanamori DO, Ay L, Hofman A, van Duijn CM, Moll HA, Raat H, et al. No association of obesity gene FTO with body composition at the age of 6 months. The Generation R Study. J Endocrinol Invest. 2011;34(1):16–20.

    CAS  PubMed  Google Scholar 

  178. Mook-Kanamori DO, Marsh JA, Warrington NM, Taal HR, Newnham JP, Beilin LJ, et al. Variants near CCNL1/LEKR1 and in ADCY5 and fetal growth characteristics in different trimesters. J Clin Endocrinol Metab. 2011;96(5):E810–5.

    CAS  PubMed  Google Scholar 

  179. Sovio U, Mook-Kanamori DO, Warrington NM, Lawrence R, Briollais L, Palmer CN, et al. Association between common variation at the FTO locus and changes in body mass index from infancy to late childhood: the complex nature of genetic association through growth and development. PLoS Genet. 2011;7(2):e1001307.

    CAS  PubMed Central  PubMed  Google Scholar 

  180. Leermakers ET, Taal HR, Bakker R, Steegers EA, Hofman A, Jaddoe VW. 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(4):e34584.

    CAS  PubMed Central  PubMed  Google Scholar 

  181. Taal HR, van den Hil LC, Hofman A, van der Heijden AJ, Jaddoe VW. 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(9):711–6.

    CAS  PubMed  Google Scholar 

  182. Tyrrell J, Huikari V, Christie JT, Cavadino A, Bakker R, Brion MJ, et al. 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(24):5344–58.

    CAS  PubMed Central  PubMed  Google Scholar 

  183. Gaillard R, Durmus B, Hofman A, Mackenbach JP, Steegers EA, Jaddoe VW. Risk factors and outcomes of maternal obesity and excessive weight gain during pregnancy. Obesity (Silver Spring). 2013;21(5):1046–55.

    Google Scholar 

  184. Luijk MP, Velders FP, Tharner A, van Ijzendoorn MH, Bakermans-Kranenburg MJ, Jaddoe VW, et al. FKBP5 and resistant attachment predict cortisol reactivity in infants: gene–environment interaction. Psychoneuroendocrinology. 2010;35(10):1454–61.

    CAS  PubMed  Google Scholar 

  185. Luijk MP, Roisman GI, Haltigan JD, Tiemeier H, Booth-Laforce C, van Ijzendoorn MH, et al. Dopaminergic, serotonergic, and oxytonergic candidate genes associated with infant attachment security and disorganization? In search of main and interaction effects. J Child Psychol Psychiatry. 2011;52(12):1295–307.

    PubMed Central  PubMed  Google Scholar 

  186. Luijk MP, Tharner A, Bakermans-Kranenburg MJ, van Ijzendoorn MH, Jaddoe VW, Hofman A, et al. The association between parenting and attachment security is moderated by a polymorphism in the mineralocorticoid receptor gene: evidence for differential susceptibility. Biol Psychol. 2011;88(1):37–40.

    PubMed  Google Scholar 

  187. Pluess M, Velders FP, Belsky J, van Ijzendoorn MH, Bakermans-Kranenburg MJ, Jaddoe VW, et al. Serotonin transporter polymorphism moderates effects of prenatal maternal anxiety on infant negative emotionality. Biol Psychiatry. 2011;69(6):520–5.

    CAS  PubMed  Google Scholar 

  188. Szekely E, Herba CM, Arp PP, Uitterlinden AG, Jaddoe VW, Hofman A, et al. Recognition of scared faces and the serotonin transporter gene in young children: the Generation R Study. J Child Psychol Psychiatry. 2011;52(12):1279–86.

    PubMed  Google Scholar 

  189. Cents RA, Tiemeier H, Velders FP, Jaddoe VW, Hofman A, Verhulst FC, et al. Maternal smoking during pregnancy and child emotional problems: the relevance of maternal and child 5-HTTLPR genotype. Am J Med Genet B Neuropsychiatr Genet. 2012;159B(3):289–97.

    PubMed  Google Scholar 

  190. Tiemeier H, Velders FP, Szekely E, Roza SJ, Dieleman G, Jaddoe VW, et al. The Generation R Study: a review of design, findings to date, and a study of the 5-HTTLPR by environmental interaction from fetal life onward. J Am Acad Child Adolesc Psychiatry. 2012;51(11):1119-35 e7.

    Google Scholar 

  191. Velders FP, De Wit JE, Jansen PW, Jaddoe VW, Hofman A, Verhulst FC, et al. FTO at rs9939609, food responsiveness, emotional control and symptoms of ADHD in preschool children. PLoS ONE. 2012;7(11):e49131.

    CAS  PubMed Central  PubMed  Google Scholar 

  192. Velders FP, Dieleman G, Cents RA, Bakermans-Kranenburg MJ, Jaddoe VW, Hofman A, et al. Variation in the glucocorticoid receptor gene at rs41423247 moderates the effect of prenatal maternal psychological symptoms on child cortisol reactivity and behavior. Neuropsychopharmacology. 2012;37(11):2541–9.

    CAS  PubMed Central  PubMed  Google Scholar 

  193. Kok R, Bakermans-Kranenburg MJ, van Ijzendoorn MH, Velders FP, Linting M, Jaddoe VW, et al. The role of maternal stress during pregnancy, maternal discipline, and child COMT Val158Met genotype in the development of compliance. Dev Psychobiol. 2013;55(5):451–64.

    CAS  PubMed  Google Scholar 

  194. Cents RA, Kok R, Tiemeier H, Lucassen N, Szekely E, Bakermans-Kranenburg MJ, et al. Variations in maternal 5-HTTLPR affect observed sensitive parenting. J Child Psychol Psychiatry. 2014;55(9):1025–32.

    PubMed  Google Scholar 

  195. Pappa I, Mileva-Seitz VR, Szekely E, Verhulst FC, Bakermans-Kranenburg MJ, Jaddoe VW, et al. DRD4 VNTRs, observed stranger fear in preschoolers and later ADHD symptoms. Psychiatry Res. 2014.

  196. van der Knaap NJ, El Marroun H, Klumpers F, Mous SE, Jaddoe VW, Hofman A, et al. Beyond classical inheritance: the influence of maternal genotype upon child’s brain morphology and behavior. J Neurosci. 2014;34(29):9516–21.

    PubMed  Google Scholar 

  197. Windhorst DA, Mileva-Seitz VR, Linting M, Hofman A, Jaddoe VW, Verhulst FC, et al. Differential susceptibility in a developmental perspective: DRD4 and maternal sensitivity predicting externalizing behavior. Dev Psychobiol. 2014.

  198. van der Valk RJ, Duijts L, Kerkhof M, Willemsen SP, Hofman A, Moll HA, et al. Interaction of a 17q12 variant with both fetal and infant smoke exposure in the development of childhood asthma-like symptoms. Allergy. 2012;67(6):767–74.

    PubMed  Google Scholar 

  199. Raat H, van Rossem L, Jaddoe VW, Landgraf JM, Feeny D, Moll HA, et al. The Generation R study: a candidate gene study and genome-wide association study (GWAS) on health-related quality of life (HRQOL) of mothers and young children. Qual Life Res. 2010;19(10):1439–46.

    PubMed  Google Scholar 

  200. Liebrechts-Akkerman G, Liu F, Lao O, Ooms AH, van Duijn K, Vermeulen M, et al. PHOX2B polyalanine repeat length is associated with sudden infant death syndrome and unclassified sudden infant death in the Dutch population. Int J Legal Med. 2014;128(4):621–9.

    PubMed  Google Scholar 

  201. Bouthoorn SH, van Lenthe FJ, Kiefte-de Jong JC, Taal HR, Wijtzes AI, Hofman A, et al. Genetic taste blindness to bitter and body composition in childhood: a Mendelian randomization design. Int J Obes (Lond). 2014;38(7):1005–10.

    CAS  Google Scholar 

  202. Bouwland-Both MI, van Mil NH, Stolk L, Eilers PH, Verbiest MM, Heijmans BT, et al. DNA methylation of IGF2DMR and H19 is associated with fetal and infant growth: the generation R study. PLoS ONE. 2013;8(12):e81731.

    PubMed Central  PubMed  Google Scholar 

  203. van Mil NH, Steegers-Theunissen RP, Bouwland-Both MI, Verbiest MM, Rijlaarsdam J, Hofman A, et al. DNA methylation profiles at birth and child ADHD symptoms. J Psychiatr Res. 2014;49:51–9.

    PubMed  Google Scholar 

  204. Saridjan NS, Huizink AC, Koetsier JA, Jaddoe VW, Mackenbach JP, Hofman A, et al. Do social disadvantage and early family adversity affect the diurnal cortisol rhythm in infants? The Generation R Study. Horm Behav. 2010;57(2):247–54.

    CAS  PubMed  Google Scholar 

  205. Luijk MP, Saridjan N, Tharner A, van Ijzendoorn MH, Bakermans-Kranenburg MJ, Jaddoe VW, et al. Attachment, depression, and cortisol: deviant patterns in insecure-resistant and disorganized infants. Dev Psychobiol. 2010;52(5):441–52.

    CAS  PubMed  Google Scholar 

  206. Kiefte-de Jong JC, Saridjan NS, Escher JC, Jaddoe VW, Hofman A, Tiemeier H, et al. Cortisol diurnal rhythm and stress reactivity in constipation and abdominal pain: the Generation R Study. J Pediatr Gastroenterol Nutr. 2011;53(4):394–400.

    CAS  PubMed  Google Scholar 

  207. Saridjan NS, Henrichs J, Schenk JJ, Jaddoe VW, Hofman A, Kirschbaum C, et al. Diurnal cortisol rhythm and cognitive functioning in toddlers: the Generation R Study. Child Neuropsychol. 2014;20(2):210–29.

    PubMed  Google Scholar 

  208. Saridjan NS, Velders FP, Jaddoe VW, Hofman A, Verhulst FC, Tiemeier H. The longitudinal association of the diurnal cortisol rhythm with internalizing and externalizing problems in pre-schoolers. The Generation R Study. Psychoneuroendocrinology. 2014;50C:118–29.

    Google Scholar 

  209. Labout JA, Duijts L, Arends LR, Jaddoe VW, Hofman A, de Groot R, et al. Factors associated with pneumococcal carriage in healthy Dutch infants: the generation R study. J Pediatr. 2008;153(6):771–6.

    PubMed  Google Scholar 

  210. Lebon A, Labout JA, Verbrugh HA, Jaddoe VW, Hofman A, van Wamel W, et al. Dynamics and determinants of Staphylococcus aureus carriage in infancy: the Generation R Study. J Clin Microbiol. 2008;46(10):3517–21.

    PubMed Central  PubMed  Google Scholar 

  211. Lebon A, Labout JA, Verbrugh HA, Jaddoe VW, Hofman A, van Wamel WJ, et al. Role of Staphylococcus aureus nasal colonization in atopic dermatitis in infants: the Generation R Study. Arch Pediatr Adolesc Med. 2009;163(8):745–9.

    PubMed  Google Scholar 

  212. Verhaegh SJ, Lebon A, Saarloos JA, Verbrugh HA, Jaddoe VW, Hofman A, et al. Determinants of Moraxella catarrhalis colonization in healthy Dutch children during the first 14 months of life. Clin Microbiol Infect. 2010;16(7):992–7.

    CAS  PubMed  Google Scholar 

  213. Verkaik NJ, Lebon A, de Vogel CP, Hooijkaas H, Verbrugh HA, Jaddoe VW, et al. Induction of antibodies by Staphylococcus aureus nasal colonization in young children. Clin Microbiol Infect. 2010;16(8):1312–7.

    CAS  PubMed  Google Scholar 

  214. Lebon A, Moll HA, Tavakol M, van Wamel WJ, Jaddoe VW, Hofman A, et al. Correlation of bacterial colonization status between mother and child: the Generation R Study. J Clin Microbiol. 2010;48(3):960–2.

    PubMed Central  PubMed  Google Scholar 

  215. Labout JA, Duijts L, Lebon A, de Groot R, Hofman A, Jaddoe VV, et al. Risk factors for otitis media in children with special emphasis on the role of colonization with bacterial airway pathogens: the Generation R study. Eur J Epidemiol. 2011;26(1):61–6.

    PubMed Central  PubMed  Google Scholar 

  216. Verhaegh SJ, Snippe ML, Levy F, Verbrugh HA, Jaddoe VW, Hofman A, et al. Colonization of healthy children by Moraxella catarrhalis is characterized by genotype heterogeneity, virulence gene diversity and co-colonization with Haemophilus influenzae. Microbiology. 2011;157(1):169–78.

  217. Ye X, Pierik FH, Hauser R, Duty S, Angerer J, Park MM, et al. Urinary metabolite concentrations of organophosphorous pesticides, bisphenol A, and phthalates among pregnant women in Rotterdam, the Netherlands: the Generation R study. Environ Res. 2008;108(2):260–7.

    CAS  PubMed Central  PubMed  Google Scholar 

  218. Ye X, Pierik FH, Angerer J, Meltzer HM, Jaddoe VW, Tiemeier H, et al. Levels of metabolites of organophosphate pesticides, phthalates, and bisphenol A in pooled urine specimens from pregnant women participating in the Norwegian Mother and Child Cohort Study (MoBa). Int J Hyg Environ Health. 2009;212(5):481–91.

    CAS  PubMed Central  PubMed  Google Scholar 

  219. Snijder CA, Heederik D, Pierik FH, Hofman A, Jaddoe VW, Koch HM, et al. Fetal growth and prenatal exposure to bisphenol A: the generation R study. Environ Health Perspect. 2013;121(3):393–8.

    PubMed Central  PubMed  Google Scholar 

  220. Jusko TA, Shaw PA, Snijder CA, Pierik FH, Koch HM, Hauser R, et al. Reproducibility of urinary bisphenol A concentrations measured during pregnancy in the Generation R Study. J Expo Sci Environ Epidemiol. 2014;24(5):532–6.

    CAS  PubMed  Google Scholar 

  221. El Marroun H, Tiemeier H, Jaddoe VW, Hofman A, Verhulst FC, van den Brink W, et al. Agreement between maternal cannabis use during pregnancy according to self-report and urinalysis in a population-based cohort: the Generation R Study. Eur Addict Res. 2011;17(1):37–43.

    PubMed  Google Scholar 

  222. Rours GI, Duijts L, Moll HA, Arends LR, de Groot R, Jaddoe VW, et al. Chlamydia trachomatis infection during pregnancy associated with preterm delivery: a population-based prospective cohort study. Eur J Epidemiol. 2011;26(6):493–502.

    PubMed Central  PubMed  Google Scholar 

  223. van Mil NH, Tiemeier H, Bongers-Schokking JJ, Ghassabian A, Hofman A, Hooijkaas H, et al. Low urinary iodine excretion during early pregnancy is associated with alterations in executive functioning in children. J Nutr. 2012;142(12):2167–74.

    PubMed  Google Scholar 

  224. Ghassabian A, Steenweg-de Graaff J, Peeters RP, Ross HA, Jaddoe VW, Hofman A, et al. Maternal urinary iodine concentration in pregnancy and children’s cognition: results from a population-based birth cohort in an iodine-sufficient area. BMJ Open. 2014;4(6):e005520.

    PubMed Central  PubMed  Google Scholar 

  225. Available from: Website: http://www.healthcare.philips.com/nl_nl/products/healthcare_informatics/products/LaboratoriumIT/.

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Acknowledgments

The Generation R Study is conducted by the Erasmus Medical Center in close collaboration with the School of Law and Faculty of Social Sciences of the Erasmus University Rotterdam, the Municipal Health Service Rotterdam area, Rotterdam, the Rotterdam Homecare Foundation, Rotterdam and the Stichting Trombosedienst & Artsenlaboratorium Rijnmond (STAR-MDC), Rotterdam. We gratefully acknowledge the contribution of children and parents, general practitioners, hospitals, midwives and pharmacies in Rotterdam. The authors thank Ms. Letty Jacobs, Mr. Ronald van den Nieuwenhof, Ms. Patricia van Sichem-Maeijer, and Ms. Karien Toebes for their assistance in logistics and data management. We thank Mr. Andy A.L.J. van Oosterhout, Ms. Jeannette Vergeer-Drop, Ms. Andrea J.M. Vermeij-Verdoold from the Genetic Epidemiology Laboratory, Erasmus MC for their assistance and advice in logistics and laboratory procedures. From the Human Genotyping Facility of the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, the Netherlands, we thank the following people: A: Ms. Mila Jhamai, Mr. Pascal Arp, and Mr. Marijn Verkerk for their help in creating the Generation R GWAS database; B: Mr. Michael Verbiest, Ms. Mila Jhamai, Ms. Sarah Higgins, Mr. Marijn Verkerk, Dr. Lisette Stolk and Dr. Janine F. Felix for their help in creating the Generation R EWAS database, and C: Ms. Mila Jhamai, Ms. Sarah Higgins, and Mr. Marijn Verkerk for their help in creating the Generation R Exome Chip database, and Carolina Medina-Gomez, BSc, Lennart Karsten, BSc, and Dr. Linda Broer for QC and variant calling. We thank Dr. Robert Kraaij from the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, the Netherlands in coordinating the faeces collection and 16S microbiome analysis. The general design of Generation R Study is made possible by financial support from the Erasmus MC, Rotterdam, the Erasmus University Rotterdam, the Netherlands Organization for Health Research and Development (ZonMw), the Netherlands Organisation for Scientific Research (NWO), the Ministry of Health, Welfare and Sport. O.H. Franco works in ErasmusAGE, a center for aging research across the life course funded by Nestlé Nutrition (Nestec Ltd.); Metagenics Inc.; and AXA. Nestlé Nutrition (Nestec Ltd.); Metagenics Inc.; and AXA had no role in design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review or approval of the manuscript. Vincent Jaddoe received an additional grant from the Netherlands Organization for Health Research and Development (NWO, ZonMw-VIDI 016.136.361).

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Authors and Affiliations

  1. The Generation R Study Group (NA-2915), Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands

    Claudia J. Kruithof, Marjolein N. Kooijman & Vincent W. V. Jaddoe

  2. Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands

    Claudia J. Kruithof, Marjolein N. Kooijman, Cornelia M. van Duijn, Oscar H. Franco, Henning Tiemeier, Andre G. Uitterlinden, Albert Hofman & Vincent W. V. Jaddoe

  3. Department of Paediatrics, Sophia Children’s Hospital, Erasmus University Medical Center, Rotterdam, The Netherlands

    Claudia J. Kruithof, Marjolein N. Kooijman, Johan C. de Jongste, Henriëtte A. Moll, Edmond H. H. M. Rings & Vincent W. V. Jaddoe

  4. Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands

    Caroline C. W. Klaver

  5. Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands

    Johan P. Mackenbach & Hein Raat

  6. Department of Obstetrics and Gynaecology, Erasmus University Medical Center, Rotterdam, The Netherlands

    Eric A. P. Steegers

  7. Department of Child and Adolescent Psychiatry, Sophia Children’s Hospital, Erasmus University Medical Center, Rotterdam, The Netherlands

    Henning Tiemeier & Frank C. Verhulst

  8. Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands

    Fernando Rivadeneira & Andre G. Uitterlinden

  9. Department of Oral and Maxillofacial Surgery, Erasmus University Medical Center, Rotterdam, The Netherlands

    Eppo B. Wolvius

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  1. Claudia J. Kruithof
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  2. Marjolein N. Kooijman
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  17. Albert Hofman
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  18. Vincent W. V. Jaddoe
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Correspondence to Vincent W. V. Jaddoe.

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Kruithof, C.J., Kooijman, M.N., van Duijn, C.M. et al. The Generation R Study: Biobank update 2015. Eur J Epidemiol 29, 911–927 (2014). https://doi.org/10.1007/s10654-014-9980-6

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  • DOI: https://doi.org/10.1007/s10654-014-9980-6

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