Approaches for drawing causal inferences from epidemiological birth cohorts: a review.

[1]  K. Michels.  The promises and challenges of epigenetic epidemiology , 2010, Experimental Gerontology.

[2]  Aad van der Lugt,et al.  Common variants at 12q15 and 12q24 are associated with infant head circumference , 2012, Nature Genetics.

[3]  H. Inskip,et al.  Impact of educational attainment on the quality of young women's diets , 2004, European Journal of Clinical Nutrition.

[4]  D. Lawlor,et al.  Associations of mortality with own height using son's height as an instrumental variable , 2013, Economics and human biology.

[5]  Arvid Sjölander,et al.  Sibling comparison designs: bias from non-shared confounders and measurement error. , 2012, Epidemiology.

[6]  D. Lawlor,et al.  Parent-offspring body mass index associations in the Norwegian Mother and Child Cohort Study: a family-based approach to studying the role of the intrauterine environment in childhood adiposity. , 2012, American journal of epidemiology.

[7]  A. Phillips,et al.  Confounding in epidemiological studies: why "independent" effects may not be all they seem. , 1992, BMJ.

[8]  G. Davey Smith,et al.  Is there an intrauterine influence on obesity? Evidence from parent–child associations in the Avon Longitudinal Study of Parents and Children (ALSPAC) , 2007, Archives of Disease in Childhood.

[9]  M S Kramer,et al.  Promotion of Breastfeeding Intervention Trial (PROBIT): a randomized trial in the Republic of Belarus. , 2001, JAMA.

[10]  M. Kogevinas,et al.  Fish intake during pregnancy, fetal growth, and gestational length in 19 European birth cohort studies. , 2014, The American journal of clinical nutrition.

[11]  Neil M Davies,et al.  Associations of growth trajectories in infancy and early childhood with later childhood outcomes. , 2011, The American journal of clinical nutrition.

[12]  E. Hodnett,et al.  COHORT PROFILE Cohort Profile : The Promotion of Breastfeeding Intervention Trial ( PROBIT ) , 2014 .

[13]  R. Waterland.  Is Epigenetics an Important Link between Early Life Events and Adult Disease? , 2009, Hormone Research in Paediatrics.

[14]  M. Pembrey,et al.  Prepubertal start of father's smoking and increased body fat in his sons: further characterisation of paternal transgenerational responses , 2014, European Journal of Human Genetics.

[15]  R. Slama,et al.  Birth Weight and Prenatal Exposure to Polychlorinated Biphenyls (PCBs) and Dichlorodiphenyldichloroethylene (DDE): A Meta-analysis within 12 European Birth Cohorts , 2011, Environmental health perspectives.

[16]  P. Bradley,et al.  Fetal and infant origins of adult disease. , 1991, BMJ.

[17]  N. Sheehan,et al.  Mendelian randomization as an instrumental variable approach to causal inference , 2007, Statistical methods in medical research.

[18]  Pasi Soininen,et al.  Quantitative high-throughput metabolomics: a new era in epidemiology and genetics , 2012, Genome Medicine.

[19]  John B Carlin,et al.  American Journal of Epidemiology Practice of Epidemiology Strategies for Multiple Imputation in Longitudinal Studies , 2022 .

[20]  W. Johnson,et al.  Folic acid: influence on the outcome of pregnancy. , 2000, The American journal of clinical nutrition.

[21]  D. Lawlor,et al.  Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research. , 2013, Paediatric and perinatal epidemiology.

[22]  E. Susser,et al.  Commentary: Smoking in pregnancy and offspring health: early insights into family-based and 'negative control' studies? , 2014, International journal of epidemiology.

[23]  Terence Dwyer,et al.  American Journal of Epidemiology Review Prospects for Epigenetic Epidemiology , 2022 .

[24]  S. Ring,et al.  DNA Methylation Patterns in Cord Blood DNA and Body Size in Childhood , 2012, PloS one.

[25]  Lefteris Farmakis.  Inference to the Best Explanation, 2nd edition , 2004 .

[26]  seguindo,et al.  INFERENCE TO THE BEST EXPLANATION , 2004 .

[27]  D. Dunger,et al.  Association between postnatal catch-up growth and obesity in childhood: prospective cohort study , 2000, BMJ : British Medical Journal.

[28]  Bonnie R. Joubert,et al.  Maternal Smoking and DNA Methylation in Newborns: In Utero Effect or Epigenetic Inheritance? , 2014, Cancer Epidemiology, Biomarkers & Prevention.

[29]  Philippe Froguel,et al.  Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight , 2010, Nature Genetics.

[30]  E. Susser,et al.  Folic acid supplements in pregnancy and severe language delay in children. , 2011, JAMA.

[31]  G. Smith.  Use of genetic markers and gene-diet interactions for interrogating population-level causal influences of diet on health , 2011, Genes & Nutrition.

[32]  R. Waterland,et al.  Epigenetic epidemiology of the developmental origins hypothesis. , 2007, Annual review of nutrition.

[33]  U. Wahn,et al.  Early determinants of childhood overweight and adiposity in a birth cohort study: role of breast-feeding , 2003, International Journal of Obesity.

[34]  Inês Barroso,et al.  A genome-wide association meta-analysis identifies new childhood obesity loci , 2012, Nature Genetics.

[35]  Richard M Martin,et al.  Effects of promoting longer-term and exclusive breastfeeding on adiposity and insulin-like growth factor-I at age 11.5 years: a randomized trial. , 2013, JAMA.

[36]  Richard M Martin,et al.  Effects of prolonged and exclusive breastfeeding on child height, weight, adiposity, and blood pressure at age 6.5 y: evidence from a large randomized trial. , 2007, The American journal of clinical nutrition.

[37]  P. Yudkin,et al.  Influence of maternal nutrition on outcome of pregnancy: prospective cohort study , 1999, BMJ.

[38]  C. Power,et al.  Cohort profile: 1958 British birth cohort (National Child Development Study). , 2006, International journal of epidemiology.

[39]  Gita D. Mishra,et al.  Family matters: designing, analysing and understanding family based studies in life course epidemiology , 2009 .

[40]  D. Lawlor,et al.  The association between BMI and mortality using offspring BMI as an indicator of own BMI: large intergenerational mortality study , 2009, BMJ : British Medical Journal.

[41]  Y. Ben-Shlomo,et al.  A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. , 2002, International journal of epidemiology.

[42]  M. Pembrey,et al.  Sex-specific, male-line transgenerational responses in humans , 2006, European Journal of Human Genetics.

[43]  Mark S. Pearce,et al.  Postnatal Growth and DNA Methylation Are Associated With Differential Gene Expression of the TACSTD2 Gene and Childhood Fat Mass , 2012, Diabetes.

[44]  T. Patterson,et al.  From Developmental Origins of Adult Disease to Life Course Research on Adult Disease and Aging : Insights from Birth Cohort Studies , 2014 .

[45]  Katherine M Keyes,et al.  On sibling designs. , 2013, Epidemiology.

[46]  Quanhe Yang,et al.  5,10-Methylenetetrahydrofolate reductase gene variants and congenital anomalies: a HuGE review. , 2000, American journal of epidemiology.

[47]  Gail M. Williams,et al.  Intrauterine growth and intelligence within sibling pairs: findings from the Mater-University study of pregnancy and its outcomes , 2005, Journal of Epidemiology and Community Health.

[48]  M. Kramer,et al.  Effects of promoting longer-term and exclusive breastfeeding on childhood eating attitudes: a cluster-randomized trial. , 2014, International journal of epidemiology.

[49]  G. Davey Smith.  Epigenesis for epidemiologists: does evo-devo have implications for population health research and practice? , 2012, International journal of epidemiology.

[50]  I. Deary,et al.  Birth weight and cognitive ability in childhood: a systematic review. , 2004, Psychological bulletin.

[51]  G. Davey Smith,et al.  Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease. , 2012, International journal of epidemiology.

[52]  L. Poston,et al.  World Health Organisation multicentre randomised trial of supplementation with vitamins C and E among pregnant women at high risk for pre‐eclampsia in populations of low nutritional status from developing countries , 2009, BJOG : an international journal of obstetrics and gynaecology.

[53]  J. Shenai.  Developmental origins of health and disease , 2007, Journal of Perinatology.

[54]  E. Susser,et al.  Prenatal nutrition, epigenetics and schizophrenia risk: can we test causal effects? , 2012, Epigenomics.

[55]  D. Lawlor,et al.  Birth Weight and Cognitive Ability in Childhood Among Siblings and Nonsiblings , 2008, Pediatrics.

[56]  C. Ebbeling,et al.  Childhood obesity: public-health crisis, common sense cure , 2002, The Lancet.

[57]  Hein Putter,et al.  Persistent epigenetic differences associated with prenatal exposure to famine in humans , 2008, Proceedings of the National Academy of Sciences.

[58]  D. Lawlor,et al.  Association of Maternal Diabetes Mellitus in Pregnancy With Offspring Adiposity Into Early Adulthood: Sibling Study in a Prospective Cohort of 280 866 Men From 248 293 Families , 2011, Circulation.

[59]  G. Smith,et al.  Reflections on the limitations to epidemiology. , 2001, Journal of clinical epidemiology.

[60]  Abdullah Al Mamun,et al.  Epidemiologic evidence for the fetal overnutrition hypothesis: findings from the mater-university study of pregnancy and its outcomes. , 2006, American journal of epidemiology.

[61]  David M. Evans,et al.  Resolving the Effects of Maternal and Offspring Genotype on Dyadic Outcomes in Genome Wide Complex Trait Analysis (“M-GCTA”) , 2014, Behavior genetics.

[62]  George Davey Smith,et al.  Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology , 2008, Statistics in medicine.

[63]  L. Poston,et al.  A complex intervention to improve pregnancy outcome in obese women; the UPBEAT randomised controlled trial , 2014, BMC Pregnancy and Childbirth.

[64]  Robert W Platt,et al.  Breastfeeding and child cognitive development: new evidence from a large randomized trial. , 2008, Archives of general psychiatry.

[65]  M. Lipsitch,et al.  Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies , 2010, Epidemiology.

[66]  >Enid Gilbert-Barness.  DEVELOPMENTAL ORIGINS OF HEALTH AND DISEASE , 2007 .

[67]  R. Martorell,et al.  Cohort Profile: The Consortium of Health-Orientated Research in Transitioning Societies , 2011, International journal of epidemiology.

[68]  Obert,et al.  PREDICTING OBESITY IN YOUNG ADULTHOOD FROM CHILDHOOD AND PARENTAL OBESITY , 2000 .

[69]  J. Kral,et al.  Large maternal weight loss from obesity surgery prevents transmission of obesity to children who were followed for 2 to 18 years. , 2007, Pediatrics.

[70]  Christian Gieger,et al.  Genetics Meets Metabolomics: A Genome-Wide Association Study of Metabolite Profiles in Human Serum , 2008, PLoS genetics.

[71]  J. Dodd,et al.  Limiting weight gain in overweight and obese women during pregnancy to improve health outcomes: the LIMIT randomised controlled trial , 2011, BMC pregnancy and childbirth.

[72]  Yongtao Guan,et al.  Maternal nutrition at conception modulates DNA methylation of human metastable epialleles , 2014, Nature Communications.

[73]  Debbie A Lawlor,et al.  What are the causal effects of breastfeeding on IQ, obesity and blood pressure? Evidence from comparing high-income with middle-income cohorts , 2011, International journal of epidemiology.

[74]  Jeanne S. Ringel,et al.  Can Higher Cigarette Taxes Improve Birth Outcomes? , 1997 .

[75]  Paul C. D. Johnson,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 , 2012, Human molecular genetics.

[76]  Sarah E. Medland,et al.  Mining the Human Phenome Using Allelic Scores That Index Biological Intermediates , 2013, PLoS genetics.

[77]  Susan K. Murphy,et al.  450K Epigenome-Wide Scan Identifies Differential DNA Methylation in Newborns Related to Maternal Smoking during Pregnancy , 2012, Environmental health perspectives.

[78]  M. Kogevinas,et al.  European Birth Cohorts for Environmental Health Research , 2011, Environmental health perspectives.

[79]  George Davey Smith,et al.  Is epidemiology ready for epigenetics? , 2012, International journal of epidemiology.

[80]  P. Vineis,et al.  Advancing the application of omics‐based biomarkers in environmental epidemiology , 2013, Environmental and molecular mutagenesis.

[81]  D. Lawlor,et al.  Familial Associations of Adiposity: Findings from a Cross-Sectional Study of 12,181 Parental-Offspring Trios from Belarus , 2011, PloS one.

[82]  Rebecca Hardy,et al.  A structured approach to modelling the effects of binary exposure variables over the life course , 2008, International journal of epidemiology.

[83]  G. Saade,et al.  Vitamins C and E to prevent complications of pregnancy-associated hypertension. , 2010, The New England journal of medicine.

[84]  S. Ebrahim,et al.  Mendelian randomization: prospects, potentials, and limitations. , 2004, International journal of epidemiology.

[85]  L. Poston,et al.  Vitamin C and vitamin E in pregnant women at risk for pre-eclampsia (VIP trial): randomised placebo-controlled trial , 2006, The Lancet.

[86]  Michaeline Bresnahan,et al.  Influence of variation in birth weight within normal range and within sibships on IQ at age 7 years: cohort study , 2001, BMJ : British Medical Journal.

[87]  M. Kramer,et al.  Effects of Promoting Longer-Term and Exclusive Breastfeeding on Cardiometabolic Risk Factors at Age 11.5 Years: A Cluster-Randomized, Controlled Trial , 2014, Circulation.

[88]  K. Cianflone,et al.  Effects of Maternal Surgical Weight Loss in Mothers on Intergenerational Transmission of Obesity , 2010 .

[89]  Y. Ben-Shlomo,et al.  Life course epidemiology , 2003, Journal of epidemiology and community health.

[90]  D. Lawlor,et al.  Adult blood pressure and climate conditions in infancy: a test of the hypothesis that dehydration in infancy is associated with higher adult blood pressure. , 2006, American journal of epidemiology.

[91]  D. Lawlor,et al.  Intrauterine Effects of Maternal Prepregnancy Overweight on Child Cognition and Behavior in 2 Cohorts , 2011, Pediatrics.

[92]  S. Thompson,et al.  Use of allele scores as instrumental variables for Mendelian randomization , 2013, International journal of epidemiology.

[93]  D. Lawlor,et al.  Challenges and novel approaches in the epidemiological study of early life influences on later disease. , 2009, Advances in experimental medicine and biology.

[94]  G. Smith,et al.  The role of longitudinal cohort studies in epigenetic epidemiology: challenges and opportunities , 2012, Genome Biology.

[95]  George Davey Smith,et al.  Using multiple genetic variants as instrumental variables for modifiable risk factors , 2012, Statistical methods in medical research.

[96]  D. Barker.  Mothers, Babies and Disease in Later Life , 1994 .

[97]  G. Smith.  Assessing intrauterine influences on offspring health outcomes: can epidemiological studies yield robust findings? , 2008, Basic & clinical pharmacology & toxicology.

[98]  Rebecca M Reynolds,et al.  What is the evidence in humans that DNA methylation changes link events in utero and later life disease? , 2013, Clinical endocrinology.

[99]  Eric J Tchetgen Tchetgen,et al.  Methodological Challenges in Mendelian Randomization , 2014, Epidemiology.

[100]  D. Lawlor,et al.  Intrauterine Growth and Intelligence Within Sibling Pairs: Findings From the Aberdeen Children of the 1950s Cohort , 2006, Pediatrics.

[101]  Tanya M. Teslovich,et al.  Biological, Clinical, and Population Relevance of 95 Loci for Blood Lipids , 2010, Nature.

[102]  Alexandra M. Binder,et al.  The causal effect of red blood cell folate on genome-wide methylation in cord blood: a Mendelian randomization approach , 2013, BMC Bioinformatics.

[103]  D. Lawlor,et al.  Those confounded vitamins: what can we learn from the differences between observational versus randomised trial evidence? , 2004, The Lancet.

[104]  M. Gillman.  Developmental origins of health and disease. , 2005, The New England journal of medicine.

[105]  Z. Stein,et al.  Timing in prenatal nutrition: a reprise of the Dutch Famine Study. , 2009, Nutrition reviews.

[106]  George Davey Smith,et al.  Negative control exposures in epidemiologic studies. , 2012, Epidemiology.

[107]  Debbie A Lawlor,et al.  Exploring the Developmental Overnutrition Hypothesis Using Parental–Offspring Associations and FTO as an Instrumental Variable , 2008, PLoS medicine.

[108]  Jonathan A C Sterne,et al.  The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study. , 2007, American journal of epidemiology.

[109]  S. Ebrahim,et al.  What can mendelian randomisation tell us about modifiable behavioural and environmental exposures? , 2005, BMJ : British Medical Journal.

[110]  Keith M. Godfrey,et al.  Epigenetic Gene Promoter Methylation at Birth Is Associated With Child’s Later Adiposity , 2011, Diabetes.

[111]  R. Hanson,et al.  Intrauterine exposure to diabetes conveys risks for type 2 diabetes and obesity: a study of discordant sibships. , 2000, Diabetes.

[112]  Tom R. Gaunt,et al.  The Avon Longitudinal Study of Parents and Children (ALSPAC): an update on the enrolled sample of index children in 2019 , 2019, Wellcome open research.

[113]  D. Lawlor,et al.  Does maternal weight gain in pregnancy have long-term effects on offspring adiposity? A sibling study in a prospective cohort of 146,894 men from 136,050 families. , 2011, The American journal of clinical nutrition.

[114]  Per Magnus,et al.  Association between maternal use of folic acid supplements and risk of autism spectrum disorders in children. , 2013, JAMA.

[115]  George Davey Smith,et al.  Epigenetic Epidemiology of Common Complex Disease: Prospects for Prediction, Prevention, and Treatment , 2010, PLoS medicine.

[116]  S. Ebrahim,et al.  'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? , 2003, International journal of epidemiology.

[117]  Markus Perola,et al.  Genome-wide association study identifies multiple loci influencing human serum metabolite levels , 2012, Nature Genetics.

[118]  A. Czeizel,et al.  Prevention of the first occurrence of neural-tube defects by periconceptional vitamin supplementation. , 1992, The New England journal of medicine.

[119]  D. Lawlor,et al.  Substantial intergenerational increases in body mass index are not explained by the fetal overnutrition hypothesis: the Cardiovascular Risk in Young Finns Study. , 2007, The American journal of clinical nutrition.

[120]  G. Davey Smith,et al.  Mendelian randomization: genetic anchors for causal inference in epidemiological studies , 2014, Human molecular genetics.

[121]  Ezra Susser,et al.  Commentary : Advent of sibling designs , 2011 .

[122]  D. Lawlor,et al.  Clustered Environments and Randomized Genes: A Fundamental Distinction between Conventional and Genetic Epidemiology , 2007, PLoS medicine.

[123]  P. Nafstad,et al.  Effects of pre- and postnatal exposure to parental smoking on early childhood respiratory health. , 2007, American journal of epidemiology.

[124]  D. Lawlor,et al.  Maternal adiposity—a determinant of perinatal and offspring outcomes? , 2012, Nature Reviews Endocrinology.

[125]  Debbie A Lawlor,et al.  The Society for Social Medicine John Pemberton Lecture 2011. Developmental overnutrition--an old hypothesis with new importance? , 2013, International journal of epidemiology.

[126]  P. Romundstad,et al.  Comparison of father-offspring and mother-offspring associations of cardiovascular risk factors: family linkage within the population-based HUNT Study, Norway. , 2014, International journal of epidemiology.

[127]  D. Lawlor,et al.  Examining life-course influences on chronic disease: the importance of birth cohort studies from low- and middle- income countries. An overview. , 2007, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.

[128]  Paolo Vineis,et al.  Meeting-in-the-middle using metabolic profiling – a strategy for the identification of intermediate biomarkers in cohort studies , 2011, Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals.