Methylome-wide analysis of IVF neonates that underwent embryo culture in different media revealed no significant differences
暂无分享,去创建一个
E. Bijnens | M. Plusquin | T. Nawrot | J. Tost | J. Dumoulin | M. Gielen | S. Mastenbroek | S. Langie | S. Remy | M. Zamani Esteki | F. Busato | R. Alfano | A. V. van Montfoort | Y. Wurth | D. Consten | R. V. van Golde | J. Van Echten-Arends | R. Koeck | Han Brunner
[1] D. Bourc’his,et al. Genome-Wide Analysis of DNA Methylation in Buccal Cells of Children Conceived through IVF and ICSI , 2021, Genes.
[2] Fernando J. Prados Mondéjar,et al. ART in Europe, 2017: results generated from European registries by ESHRE , 2021, Human reproduction open.
[3] R. Weksberg,et al. Exposure to Gestational Diabetes Mellitus (GDM) Alters DNA Methylation in Placenta and Fetal Cord Blood. , 2021, Diabetes research and clinical practice.
[4] D. Bourc’his,et al. Do assisted reproductive technologies and in vitro embryo culture influence the epigenetic control of imprinted genes and transposable elements in children? , 2020, Human reproduction.
[5] D. Stanisavljević,et al. Systematic review supports the role of DNA methylation in the pathophysiology of preeclampsia: a call for analytical and methodological standardization , 2020, Biology of Sex Differences.
[6] S. Mastenbroek,et al. Comparison of DNA methylation patterns of parentally imprinted genes in placenta derived from IVF conceptions in two different culture media , 2020, Human reproduction.
[7] K. Bogaerts,et al. ART in Europe, 2016: results generated from European registries by ESHRE , 2020, Human reproduction open.
[8] V. Nelen,et al. Biobank@VITO: Biobanking the General Population in Flanders , 2020, Frontiers in Medicine.
[9] C. Relton,et al. Epigenetics and gestational diabetes: a review of epigenetic epidemiology studies and their use to explore epigenetic mediation and improve prediction , 2019, Diabetologia.
[10] A. Baccarelli,et al. Maternal Gestational Diabetes Mellitus and Newborn DNA Methylation: Findings From the Pregnancy and Childhood Epigenetics Consortium , 2019, Diabetes Care.
[11] L. Doyle,et al. Assisted reproductive technologies are associated with limited epigenetic variation at birth that largely resolves by adulthood , 2019, Nature Communications.
[12] S. Mastenbroek,et al. The composition of human preimplantation embryo culture media and their stability during storage and culture. , 2019, Human reproduction.
[13] Katerina Kechris,et al. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight , 2019, Nature Communications.
[14] L. Howe,et al. Epigenetic gestational age and trajectories of weight and height during childhood: a prospective cohort study , 2019, Clinical Epigenetics.
[15] Thomas Lengauer,et al. RnBeads 2.0: comprehensive analysis of DNA methylation data , 2019, Genome Biology.
[16] Kristina Gervin,et al. Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data , 2019, Clinical Epigenetics.
[17] A. Pinborg,et al. The health of children conceived by ART: ‘the chicken or the egg?’ , 2019, Human reproduction update.
[18] B. Zwaan,et al. Selective Survival of Embryos Can Explain DNA Methylation Signatures of Adverse Prenatal Environments. , 2018, Cell reports.
[19] S. Roberts,et al. The growth of assisted reproductive treatment-conceived children from birth to 5 years: a national cohort study , 2018, BMC Medicine.
[20] Daniel J. Park,et al. sEst: Accurate Sex-Estimation and Abnormality Detection in Methylation Microarray Data , 2018, International journal of molecular sciences.
[21] C. Cecil,et al. Population DNA methylation studies in the Developmental Origins of Health and Disease (DOHaD) framework , 2018, Journal of Developmental Origins of Health and Disease.
[22] L. Smits,et al. Association of culture medium with growth, weight and cardiovascular development of IVF children at the age of 9 years , 2018, Human reproduction.
[23] G. Kelsey,et al. Epigenetic regulation in development: is the mouse a good model for the human? , 2018, Human reproduction update.
[24] C. Relton,et al. Epigenetic gestational age acceleration: a prospective cohort study investigating associations with familial, sociodemographic and birth characteristics , 2018, Clinical Epigenetics.
[25] Rong Li,et al. Single-cell multi-omics sequencing of human early embryos , 2018, Nature Cell Biology.
[26] L. Bernardinelli,et al. Multifactorial analysis of the stochastic epigenetic variability in cord blood confirmed an impact of common behavioral and environmental factors but not of in vitro conception , 2018, Clinical Epigenetics.
[27] A. DeAngelis,et al. Assisted Reproductive Technology and Epigenetics , 2018, Seminars in Reproductive Medicine.
[28] M. Mainigi,et al. Embryo Culture Conditions and the Epigenome , 2018, Seminars in Reproductive Medicine.
[29] D. Lambrechts,et al. GLI2 promoter hypermethylation in saliva of children with a respiratory allergy , 2018, Clinical Epigenetics.
[30] M. Delgado-Rodríguez,et al. Systematic review and meta-analysis. , 2017, Medicina intensiva.
[31] Frank Dudbridge,et al. Estimation of a significance threshold for epigenome‐wide association studies , 2017, Genetic epidemiology.
[32] K. Barnhart,et al. In Vitro fertilization and adverse obstetric and perinatal outcomes. , 2017, Seminars in perinatology.
[33] T. Haaf,et al. DNA methylation signatures in cord blood of ICSI children , 2017, Human reproduction.
[34] D. Oglesbee,et al. Composition of single-step media used for human embryo culture. , 2017, Fertility and sterility.
[35] Ivana V. Yang,et al. Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children’s Environmental Health Studies: The Children’s Environmental Health and Disease Prevention Research Center’s Epigenetics Working Group , 2017, Environmental health perspectives.
[36] S. Horvath,et al. An epigenetic clock for gestational age at birth based on blood methylation data , 2016, Genome Biology.
[37] Sarah E. Reese,et al. Prediction of gestational age based on genome-wide differentially methylated regions , 2016, Genome Biology.
[38] Sjoerd Repping,et al. Influence of embryo culture medium (G5 and HTF) on pregnancy and perinatal outcome after IVF: a multicenter RCT. , 2016, Human reproduction.
[39] J. Harper,et al. Time to take human embryo culture seriously. , 2016, Human reproduction.
[40] R. Eils,et al. Complex heatmaps reveal patterns and correlations in multidimensional genomic data , 2016, Bioinform..
[41] Andrew E. Teschendorff,et al. Stochastic epigenetic outliers can define field defects in cancer , 2016, BMC Bioinformatics.
[42] A. Burguet,et al. Does Embryo Culture Medium Influence the Health and Development of Children Born after In Vitro Fertilization? , 2016, PloS one.
[43] Eric E. Schadt,et al. variancePartition: interpreting drivers of variation in complex gene expression studies , 2016, BMC Bioinformatics.
[44] A. Oshlack,et al. missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform , 2016, Bioinform..
[45] T. Breit,et al. Factors affecting the gene expression of in vitro cultured human preimplantation embryos. , 2015, Human reproduction.
[46] M. van Wely,et al. Culture media for human pre-implantation embryos in assisted reproductive technology cycles. , 2015, The Cochrane database of systematic reviews.
[47] M. Jonker,et al. Differences in gene expression profiles between human preimplantation embryos cultured in two different IVF culture media. , 2015, Human reproduction.
[48] D. Mari,et al. Stochastic epigenetic mutations (DNA methylation) increase exponentially in human aging and correlate with X chromosome inactivation skewing in females , 2015, Aging.
[49] Jordana T Bell,et al. Power and sample size estimation for epigenome-wide association scans to detect differential DNA methylation , 2015, International journal of epidemiology.
[50] R. Weksberg,et al. Comparison of genome-wide and gene-specific DNA methylation between ART and naturally conceived pregnancies , 2015, Epigenetics.
[51] Thomas Lengauer,et al. Comprehensive Analysis of DNA Methylation Data with RnBeads , 2014, Nature Methods.
[52] R. Krisher,et al. Composition of commercial media used for human embryo culture. , 2014, Fertility and sterility.
[53] Martin J. Aryee,et al. Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays , 2014, Bioinform..
[54] T. Roseboom,et al. IVF culture medium affects post-natal weight in humans during the first 2 years of life. , 2014, Human reproduction.
[55] F van der Veen,et al. Embryo culture media and IVF/ICSI success rates: a systematic review. , 2013, Human reproduction update.
[56] P. Laird,et al. Low-level processing of Illumina Infinium DNA Methylation BeadArrays , 2013, Nucleic acids research.
[57] A. Oshlack,et al. SWAN: Subset-quantile Within Array Normalization for Illumina Infinium HumanMethylation450 BeadChips , 2012, Genome Biology.
[58] Gary King,et al. MatchIt: Nonparametric Preprocessing for Parametric Causal Inference , 2011 .
[59] J. Clarke,et al. What is a systematic review? , 2011, Evidence Based Nursing.
[60] Xiao Zhang,et al. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis , 2010, BMC Bioinformatics.
[61] C. Sapienza,et al. Inter- and Intra-Individual Variation in Allele-Specific DNA Methylation and Gene Expression in Children Conceived using Assisted Reproductive Technology , 2010, PLoS genetics.
[62] E. Coonen,et al. Effect of in vitro culture of human embryos on birthweight of newborns. , 2010, Human reproduction.
[63] J. Walter,et al. Assisted reproductive technologies do not enhance the variability of DNA methylation imprints in human , 2009, Journal of Medical Genetics.
[64] H. Delemarre-van de Waal,et al. Growth during infancy and early childhood in relation to blood pressure and body fat measures at age 8-18 years of IVF children and spontaneously conceived controls born to subfertile parents. , 2009, Human reproduction.
[65] Claudia Buss,et al. Developmental Origins of Health and Disease: Brief History of the Approach and Current Focus on Epigenetic Mechanisms , 2009, Seminars in reproductive medicine.
[66] C. Jinks,et al. Disabling knee pain – another consequence of obesity: Results from a prospective cohort study , 2006, BMC public health.
[67] V. Ginjala. Gene imprinting gateway , 2001, Genome Biology.
[68] Love Dr,et al. The chicken or the egg. , 1968, New Mexico dental journal.
[69] A. V. van Montfoort,et al. Does the type of culture medium used influence birthweight of children born after IVF? , 2015, Human reproduction.
[70] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[71] Cedric E. Ginestet. ggplot2: Elegant Graphics for Data Analysis , 2011 .
[72] Alex E. Lash,et al. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..
[73] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[74] John D. Storey,et al. Bioinformatics Applications Note Gene Expression the Sva Package for Removing Batch Effects and Other Unwanted Variation in High-throughput Experiments , 2022 .