Maximizing human developmental


Here, you can view the most recent findings and publications of the LifeCycle research team. Just click on the respective title to read or download the original article.

Number of LifeCyle publications to date: 44


  1. LifeCycle Project-Maternal Obesity and Childhood Outcomes Study Group. (2019). Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes. JAMA. 321(17): 1702–1715.
  2. Alemany S. et al. (2019). Common Polygenic Variations for Psychiatric Disorders and Cognition in Relation to Brain Morphology in the General Pediatric Population. Journal of the American Academy of Child and Adolescent Psychiatry, online first: S0890-8567(19)30007-3
  3. den Dekker H.T. et al. (2019). Newborn DNA-methylation, childhood lung function, and the risks of asthma and COPD across the life course. European Respiratory Journal, online first: 53(3): 1801795
  4. Haworth S. et al. (2019). Low-frequency variation in TP53 has large effects on head circumference and intracranial volume. Nature Communications, online first: 10(1): 357
  5. Jacob C.M. etal. (2019). What quantitative and qualitative methods have been developed to measure the implementation of a life-course approach in public health policies at the national level? in Health Evidence Network synthesis report 63. Copenhagen. Publisher: WHO Europe
  6. Küpers L.K. et al. (2019). Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight. Nature Communications. 10: Article number 1893
  7. Middeldorp C. M. et al. (2019). The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects. Eur J Epidemiol. 34 (3): 279–300
  8. Mikkola T. (2019). Physical heaviness of work and sitting at work as predictors of mortality: a 26-year follow-up of the Helsinki Birth Cohort Study. BMJ Open. 9: e026280
  9. Popovic M. et al. (2019). Differentially methylated DNA regions in early childhood wheezing: An epigenome‐wide study using saliva. Pediatr Allergy Immunol. 30: 305– 314
  10. Poulsen G. et al. (2019). Does smoking during pregnancy mediate educational disparities in preterm delivery? Findings from three large birth cohorts. Paediatr Perinat Epidemiol. 33: 164– 171
  11. Reese S.E. et al. (2019). Epigenome-wide meta-analysis of DNA methylation and childhood asthma. The Journal of Allergy and Clinical Immunology, online first: pp. 1-13
  12. Richiardi L. et al. (2019). Baseline selection on a collider: a ubiquitous mechanism occurring in both representative and selected cohort studies. J Epidemiol Community Health. 73: 475-480
  13. Santos S. et al. (2019). Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American, and Australian cohorts. BJOG. Online first: DOI 10.1111/1471-0528.15661
  14. Voerman E. and the LifeCycle Project-Maternal Obesity and Childhood Outcomes Study Group (2019). Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes. JAMA. 321 (17): 1702-1715
  15. Voerman E. et al. (2019). Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis. PLOS Medicine, online first: 16(2): e1002744


  1. Beaumont R.N. et al. (2018). Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics. Hum Mol Genet. 27(4): 742-56
  2. Björkqvist J. et al. (2018). Premature birth and circadian preference in young adulthood: evidence from two birth cohorts. Chronobiol Int. 35 (4): 555-64
  3. Casas M. et al. (2018). The effect of early growth patterns and lung function on the development of childhood asthma: a population based study. Thorax. Online first: 31 July 2018
  4. Contreras Z.A., et al. (2018). Does early-onset asthma increase childhood obesity risk? A pooled analysis of 16 European cohorts. European Respiratory Journal. Online first: 52 (3):
  5. Demenais F. et al. (2018). Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat Genet. 50(1): 42-53
  6. den Dekker H.T. et al.(2018). Fetal and Infant Growth Patterns and Risk of Lower Lung Function and Asthma. The Generation R Study. Am J Respir Crit Care Med. 197(2): 183-92
  7. Felix J.F. and Cecil C.A.M. (2018). Population DNA methylation studies in the Developmental Origins of Health and Disease (DOHaD) framework. J Dev Orig Health Dis. Published Online First: 13 August 2018
  8. Felix J.F. et al. (2018). Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium. Int J Epidemiol. 47 (1): 22-3u
  9. Gaillard R., Wright J., Jaddoe V.W.V. (2018). Lifestyle intervention strategies in early life to improve pregnancy outcomes and long-term health of offspring: a narrative review. Journal of Developmental Origins of Health and Disease. Online first: 1-8, DOI 10.1017/S2040174418000855
  10. Golab B.P. et al. (2018). Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity: an individual participant data meta-analysis. The Lancet Child & Adolescent Health, 2 (11): 812-821
  11. Guxens M. et al. (2018). Air Pollution Exposure During Fetal Life, Brain Morphology, and Cognitive Function in School-Age Children. Biological Psychiatry. 84(4): 295-303
  12. Magnus M.C. et al. (2018). Vitamin D and risk of pregnancy related hypertensive disorders: mendelian randomisation study. Bmj. 361: k2167
  13. McEachan R.R.C. et al. (2018). Availability, use of, and satisfaction with green space, and children’s mental wellbeing at age 4 years in a multicultural, deprived, urban area: results from the Born in Bradford cohort study. Lancet Planet Health. 2 (6): e244-e54
  14. Santos S. et. al. (2018). Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania. BMC Medicine. Online first: 16 (201): 1-15
  15. Santos S. et al. (2018). Sources of confounding in life course epidemiology. Journal of Developmental Origins of Health and Disease. nline first: 1-7, DOI 10.1017/S2040174418000582
  16. Sharp G.C. et al. (2018). Maternal alcohol consumption and offspring DNA methylation: findings from six general population-based birth cohorts. Epigenomics. 10 (1): 27-42
  17. van Meel E.R. et al. (2018). A population-based prospective cohort study examining the influence of early-life respiratory tract infections on school-age lung function and asthma. Thorax. 73 (2): 167-73
  18. Vehmeijer F.O.L. et al. (2018). Maternal psychological distress during pregnancy and childhood health outcomes: a narrative review. Journal of Developmental Origins of Health and Disease. Online first: 1-12, DOI 10.1017/S2040174418000557
  19. Waage J. et al. (2018). Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis. Nat Genet. 50 (8): 1072-80
  20. Warrington N.M. et al. (2018). Maternal and fetal genetic contribution to gestational weight gain. Int J Obes (Lond). 42 (4): 775-84
  21. Wilmink F.A. et al. (2018). Maternal blood pressure and hypertensive disorders during pregnancy and childhood respiratory morbidity: the Generation R Study. European Respiratory Journal, online first: 52(5):
  22. Zugna D. and Richiardi L. (2018). Effects decomposition in mediation analysis: a numerical example. Epidemiol Prev. 42 (2): 127-33


  1. Herzog E.M. et al. (2017). Early- and late-onset preeclampsia and the tissue-specific epigenome of the placenta and newborn. Placenta. 58: 122-32
  2. Lubczynska M.J. et al. (2017). Exposure to elemental composition of outdoor PM2.5 at birth and cognitive and psychomotor function in childhood in four European birth cohorts. Environ Int. 109: 170-80
  3. Popovic M. et al. (2017). Increased correlation between methylation sites in epigenome-wide replication studies: impact on analysis and results. Epigenomics. 9: 1489-1502
  4. Rautio N. et al. (2017). Living environment and its relationship to depressive mood: A systematic review. International Journal of Social Psychiatry, 64 (1): 92-103
  5. Richmond R.C. et al. (2017). Using Genetic Variation to Explore the Causal Effect of Maternal Pregnancy Adiposity on Future Offspring Adiposity: A Mendelian Randomisation Study. PLoS Med. 14 (1): e1002221
  6. Sharp G.C. et al. (2017). Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium. Hum Mol Genet. 26 (20): 4067-85
  7. van Meel E.R. et al. (2017). The role of respiratory tract infections and the microbiome in the development of asthma: A narrative review. Pediatr Pulmonol. 52 (10): 1363-70