Consistency and Variability of DNA Methylation in Women During Puberty, Young Adulthood, and Pregnancy
暂无分享,去创建一个
R. Kurukulaaratchy | J. Holloway | W. Karmaus | S. H. Arshad | Su Chen | Hongmei Zhang | N. Mukherjee | V. Janjanam | R. Kurukulaaratchy | John W. Holloway | S. Arshad
[1] Hongmei Zhang,et al. Comparison of different cell type correction methods for genome-scale epigenetics studies , 2017, BMC Bioinformatics.
[2] D. Postma,et al. The emerging landscape of dynamic DNA methylation in early childhood , 2017, BMC Genomics.
[3] J. Gong,et al. Reproductive factors, menopausal hormone therapies and primary liver cancer risk: a systematic review and dose-response meta-analysis of observational studies. , 2016, Human reproduction update.
[4] Á. Carracedo,et al. Development of a methylation marker set for forensic age estimation using analysis of public methylation data and the Agena Bioscience EpiTYPER system. , 2016, Forensic science international. Genetics.
[5] L. Christiansen,et al. Epigenetic drift in the aging genome: a ten-year follow-up in an elderly twin cohort. , 2016, International journal of epidemiology.
[6] J. Petersen,et al. Erratum: Pubertal development in healthy children is mirrored by DNA methylation patterns in peripheral blood , 2016, Scientific Reports.
[7] C. Lorthongpanich,et al. Emerging Role of the Hippo Signaling Pathway in Position Sensing and Lineage Specification in Mammalian Preimplantation Embryos1 , 2015, Biology of reproduction.
[8] A. Ashworth,et al. Temporal Stability and Determinants of White Blood Cell DNA Methylation in the Breakthrough Generations Study , 2014, Cancer Epidemiology, Biomarkers & Prevention.
[9] D. Armant,et al. Cell signaling in trophoblast-uterine communication. , 2014, The International journal of developmental biology.
[10] S. Derderian,et al. Maternal–fetal cellular trafficking: clinical implications and consequences , 2014, Current opinion in pediatrics.
[11] T. Daikoku,et al. Possible roles of the cAMP-mediators EPAC and RAP1 in decidualization of rat uterus. , 2014, Reproduction.
[12] M. Fallin,et al. Epigenetic epidemiology: Promises for public health research , 2014, Environmental and molecular mutagenesis.
[13] Hermann Brenner,et al. Cross-sectional and longitudinal changes in DNA methylation with age: an epigenome-wide analysis revealing over 60 novel age-associated CpG sites. , 2014, Human molecular genetics.
[14] R. Irizarry,et al. Accounting for cellular heterogeneity is critical in epigenome-wide association studies , 2014, Genome Biology.
[15] Paolo Vineis,et al. Methylome Analysis and Epigenetic Changes Associated with Menarcheal Age , 2013, PloS one.
[16] S. Horvath. DNA methylation age of human tissues and cell types , 2013, Genome Biology.
[17] J. De Keyser,et al. Female Gender and Reproductive Factors Affecting Risk, Relapses and Progression in Multiple Sclerosis , 2013, Gynecologic and Obstetric Investigation.
[18] R. Weksberg,et al. Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray , 2013, Epigenetics.
[19] M. Longtine,et al. Survival by self-destruction: a role for autophagy in the placenta? , 2012, Placenta.
[20] Devin C. Koestler,et al. DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.
[21] X. Jin,et al. Survival signaling in the preimplantation embryo. , 2012, Theriogenology.
[22] Xiao Zhang,et al. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis , 2010, BMC Bioinformatics.
[23] H. Chu,et al. A statistical framework for Illumina DNA methylation arrays , 2010, Bioinform..
[24] Martin J. Aryee,et al. Personalized Epigenomic Signatures That Are Stable Over Time and Covary with Body Mass Index , 2010, Science Translational Medicine.
[25] M. Gershwin,et al. The implications of autoimmunity and pregnancy. , 2010, Journal of autoimmunity.
[26] P. Parsa,et al. Effects of reproductive factors on risk of breast cancer: a literature review. , 2009, Asian Pacific journal of cancer prevention : APJCP.
[27] Jing Chen,et al. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization , 2009, Nucleic Acids Res..
[28] A. Feinberg,et al. Intra-individual change over time in DNA methylation with familial clustering. , 2008, JAMA.
[29] K. P. Phillips,et al. Risk Factors for Ovarian Cancer: An Overview with Emphasis on Hormonal Factors , 2008, Journal of toxicology and environmental health. Part B, Critical reviews.
[30] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[31] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.
[32] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[33] P. A. Grannum. The placenta. , 1989, Clinics in diagnostic ultrasound.
[34] Dan Wang,et al. IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data , 2012, Bioinform..