Association of maternal circulating 25(OH)D and calcium with birth weight: A mendelian randomisation analysis
暂无分享,去创建一个
D. Lawlor | J. Tyrrell | S. Ring | R. Freathy | A. Hattersley | B. Knight | A. Wood | R. Beaumont | M. Borges | William D. Thompson | W. Thompson
[1] C. Kovacs. Calcium and Phosphate Metabolism and Related Disorders During Pregnancy and Lactation , 2018 .
[2] D. Lawlor,et al. Gestational diabetes and ultrasound-assessed fetal growth in South Asian and White European women: findings from a prospective pregnancy cohort , 2018, BMC Medicine.
[3] Kyle J. Gaulton,et al. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors , 2018, Nature Genetics.
[4] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[5] Alison D. Gernand,et al. Vitamin D supplementation in pregnancy and lactation to promote infant growth , 2018, The New England journal of medicine.
[6] D. Lawlor,et al. Vitamin D and risk of pregnancy related hypertensive disorders: mendelian randomisation study , 2018, British Medical Journal.
[7] D. Lawlor,et al. Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children , 2018, International journal of epidemiology.
[8] F. Windmeijer,et al. An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings , 2018, bioRxiv.
[9] Mitchell J. Machiela,et al. LDassoc: an online tool for interactively exploring genome-wide association study results and prioritizing variants for functional investigation , 2018, Bioinform..
[10] T. Key,et al. Dietary assessment in UK Biobank: an evaluation of the performance of the touchscreen dietary questionnaire , 2018, Journal of nutritional science.
[11] Samuel E. Jones,et al. 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 , 2018, Human molecular genetics.
[12] P. O’Reilly,et al. Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels , 2018, Nature Communications.
[13] H. Qamar,et al. Vitamin D supplementation during pregnancy: state of the evidence from a systematic review of randomised trials , 2017, British Medical Journal.
[14] D. Kiel,et al. Low-Frequency Synonymous Coding Variation in CYP2R1 Has Large Effects on Vitamin D Levels and Risk of Multiple Sclerosis. , 2017, American journal of human genetics.
[15] A. Sallé,et al. Risk of low birth weight and micronutrient deficiencies in neonates from mothers after gastric bypass: a case control study. , 2017, Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery.
[16] P. Donnelly,et al. Genome-wide genetic data on ~500,000 UK Biobank participants , 2017, bioRxiv.
[17] C. Sudlow,et al. Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population , 2017, American journal of epidemiology.
[18] David M. Evans,et al. Collider scope: when selection bias can substantially influence observed associations , 2016, bioRxiv.
[19] David M. Evans,et al. Using Mendelian randomization to determine causal effects of maternal pregnancy (intrauterine) exposures on offspring outcomes: Sources of bias and methods for assessing them , 2017, Wellcome open research.
[20] J. Pell,et al. Customised and Noncustomised Birth Weight Centiles and Prediction of Stillbirth and Infant Mortality and Morbidity: A Cohort Study of 979,912 Term Singleton Pregnancies in Scotland , 2017, PLoS medicine.
[21] Dylan S. Small,et al. A review of instrumental variable estimators for Mendelian randomization , 2015, Statistical methods in medical research.
[22] Debbie A Lawlor,et al. Triangulation in aetiological epidemiology , 2016, International journal of epidemiology.
[23] F. Hartwig,et al. Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique , 2016, International journal of epidemiology.
[24] D. Lawlor. Commentary: Two-sample Mendelian randomization: opportunities and challenges , 2016, International journal of epidemiology.
[25] C. Cooper,et al. Maternal gestational vitamin D supplementation and offspring bone health (MAVIDOS): a multicentre, double-blind, randomised placebo-controlled trial. , 2016, The lancet. Diabetes & endocrinology.
[26] G. Davey Smith,et al. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator , 2016, Genetic epidemiology.
[27] David M. Evans,et al. Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight. , 2016, JAMA.
[28] Shenghui Xue,et al. Calcium intake, calcium homeostasis and health , 2016 .
[29] Michelle A. Williams,et al. Maternal Serum 25-Hydroxyvitamin D Concentrations during Pregnancy and Infant Birthweight for Gestational Age: a Three-Cohort Study. , 2016, Paediatric and perinatal epidemiology.
[30] Mitchell J. Machiela,et al. LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants , 2015, Bioinform..
[31] G. Davey Smith,et al. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression , 2015, International journal of epidemiology.
[32] P. Zhu,et al. Maternal vitamin D deficiency during pregnancy elevates the risks of small for gestational age and low birth weight infants in Chinese population. , 2015, The Journal of clinical endocrinology and metabolism.
[33] B. Berger,et al. Efficient Bayesian mixed model analysis increases association power in large cohorts , 2014, Nature Genetics.
[34] J. Sheng,et al. Birth weight and risk of coronary heart disease in adults: a meta-analysis of prospective cohort studies. , 2014, Journal of developmental origins of health and disease.
[35] Lorna M. Lopez,et al. Meta-Analysis of Genome-Wide Association Studies Identifies Six New Loci for Serum Calcium Concentrations , 2013, PLoS genetics.
[36] D. Lawlor,et al. Association of maternal vitamin D status during pregnancy with bone-mineral content in offspring: a prospective cohort study , 2013, The Lancet.
[37] T. Spector,et al. Causal Relationship between Obesity and Vitamin D Status: Bi-Directional Mendelian Randomization Analysis of Multiple Cohorts , 2013, PLoS medicine.
[38] D. Lawlor,et al. Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children , 2012, International journal of epidemiology.
[39] D. Lawlor,et al. Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort , 2012, International journal of epidemiology.
[40] C. Cooper,et al. Regulation of Placental Calcium Transport and Offspring Bone Health , 2011, Front. Endocrin..
[41] P. Lumbiganon,et al. Calcium supplementation (other than for preventing or treating hypertension) for improving pregnancy and infant outcomes. , 2011, The Cochrane database of systematic reviews.
[42] E. Boerwinkle,et al. Association of rs780094 in GCKR with Metabolic Traits and Incident Diabetes and Cardiovascular Disease: The ARIC Study , 2010, PloS one.
[43] Daniel L. Koller,et al. Common genetic determinants of vitamin D insufficiency: a genome-wide association study , 2010, The Lancet.
[44] Luigi Ferrucci,et al. Genome-Wide Meta-Analysis for Serum Calcium Identifies Significantly Associated SNPs near the Calcium-Sensing Receptor (CASR) Gene , 2010, PLoS genetics.
[45] Debbie A Lawlor,et al. Birth weight and risk of type 2 diabetes: a systematic review. , 2008, JAMA.
[46] D. Lawlor,et al. Birth Weight and Cognitive Ability in Childhood Among Siblings and Nonsiblings , 2008, Pediatrics.
[47] George Davey Smith,et al. Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology , 2008, Statistics in medicine.
[48] P. Lips,et al. Relative Value of 25(OH)D and 1,25(OH)2D Measurements , 2007, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[49] B. Shields,et al. The Exeter Family Study of Childhood Health (EFSOCH): study protocol and methodology. , 2006, Paediatric and perinatal epidemiology.
[50] J. Ross. High Birthweight and Cancer: Evidence and Implications , 2006, Cancer Epidemiology Biomarkers & Prevention.
[51] B. Specker. Vitamin D requirements during pregnancy. , 2004, The American journal of clinical nutrition.
[52] J. Belizán,et al. Commentary: Maternal calcium intake and offspring cardiovascular risk factors. , 2004, International journal of epidemiology.
[53] F. Sung,et al. Association of very low birth weight with calcium levels in drinking water. , 2002, Environmental Research.
[54] Thomas J. Steichen,et al. METANINF: Stata module to evaluate influence of a single study in meta-analysis estimation , 2001 .
[55] S. Greenland. An introduction To instrumental variables for epidemiologists , 2000, International journal of epidemiology.
[56] K. Boggess,et al. A Randomized Controlled Trial of the Effect of Third‐Trimester Calcium Supplementation on Maternal Hemodynamic Function , 1997, Obstetrics and gynecology.
[57] D. Black. HEALTH AND DEPRIVATION: Inequality and the north , 1988 .
[58] P. Townsend,et al. Health and Deprivation: Inequality and the North , 1987 .
[59] P. Phillips,et al. SERUM-CALCIUM , 1979, The Lancet.
[60] H Kenneth Walker,et al. Clinical methods: The history, physical, and laboratory examinations , 1976 .
[61] R. Hill. Calcium metabolism during pregnancy and lactation. , 1954 .