Persistent DNA methylation changes associated with prenatal mercury exposure and cognitive performance during childhood

[1]  M. Aschner,et al.  Sex- and structure-specific differences in antioxidant responses to methylmercury during early development. , 2016, Neurotoxicology.

[2]  M. Gillman,et al.  Maternal prenatal fish consumption and cognition in mid childhood: Mercury, fatty acids, and selenium. , 2016, Neurotoxicology and teratology.

[3]  A. Uitterlinden,et al.  Genetic and environmental influences interact with age and sex in shaping the human methylome , 2016, Nature Communications.

[4]  Shan V Andrews,et al.  DNA methylation of cord blood cell types: Applications for mixed cell birth studies , 2016, Epigenetics.

[5]  Liang Niu,et al.  ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip , 2015, Nucleic acids research.

[6]  A. Vaiserman Epidemiologic evidence for association between adverse environmental exposures in early life and epigenetic variation: a potential link to disease susceptibility? , 2015, Clinical Epigenetics.

[7]  Kelly Street,et al.  PON1 as a model for integration of genetic, epigenetic, and expression data on candidate susceptibility genes , 2015, Environmental epigenetics.

[8]  Rolf U Halden,et al.  Prenatal mercury concentration is associated with changes in DNA methylation at TCEANC2 in newborns. , 2015, International journal of epidemiology.

[9]  M. Mackness,et al.  Human paraoxonase-1 (PON1): Gene structure and expression, promiscuous activities and multiple physiological roles. , 2015, Gene.

[10]  T. Bale,et al.  Epigenetic and transgenerational reprogramming of brain development , 2015, Nature Reviews Neuroscience.

[11]  D. Altomare,et al.  Female immune system is protected from effects of prenatal exposure to mercury , 2015 .

[12]  C. Marsit,et al.  Differential DNA methylation in umbilical cord blood of infants exposed to mercury and arsenic in utero , 2015, Epigenetics.

[13]  J. Ilonen,et al.  Age-associated DNA methylation changes in immune genes, histone modifiers and chromatin remodeling factors within 5 years after birth in human blood leukocytes , 2015, Clinical Epigenetics.

[14]  B. Lester,et al.  Placental DNA Methylation Related to Both Infant Toenail Mercury and Adverse Neurobehavioral Outcomes , 2014, Environmental health perspectives.

[15]  A. Baccarelli,et al.  Cohort profile: project viva. , 2015, International journal of epidemiology.

[16]  R. Fry,et al.  Prenatal arsenic exposure and the epigenome: identifying sites of 5-methylcytosine alterations that predict functional changes in gene expression in newborn cord blood and subsequent birth outcomes. , 2015, Toxicological sciences : an official journal of the Society of Toxicology.

[17]  Peter L Molloy,et al.  De novo identification of differentially methylated regions in the human genome , 2015, Epigenetics & Chromatin.

[18]  W. Reik,et al.  Selective impairment of methylation maintenance is the major cause of DNA methylation reprogramming in the early embryo , 2015, Epigenetics & Chromatin.

[19]  P. Ayotte,et al.  Methylmercury exposure, PON1 gene variants and serum paraoxonase activity in Eastern James Bay Cree adults , 2014, Journal of Exposure Science and Environmental Epidemiology.

[20]  J. Barrett PCBs and Impaired Cochlear Function in Children: Comparing Pre- and Postnatal Exposures , 2014, Environmental health perspectives.

[21]  Robert L. Jones,et al.  Total and methyl mercury in whole blood measured for the first time in the U.S. population: NHANES 2011-2012. , 2014, Environmental research.

[22]  S. Knowles,et al.  Genetic Variation Associated with Hypersensitivity to Mercury , 2014, Toxicology international.

[23]  M. Saito,et al.  A global ocean inventory of anthropogenic mercury based on water column measurements , 2014, Nature.

[24]  G. Ginsberg,et al.  Methylmercury-Induced Inhibition of Paraoxonase-1 (PON1)—Implications for Cardiovascular Risk , 2014, Journal of toxicology and environmental health. Part A.

[25]  Rafael A. Irizarry,et al.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays , 2014, Bioinform..

[26]  P. Vineis,et al.  B-vitamins intake, DNA-methylation of One Carbon Metabolism and homocysteine pathway genes and myocardial infarction risk: the EPICOR study. , 2014, Nutrition, metabolism, and cardiovascular diseases : NMCD.

[27]  J. Martínez,et al.  Arylesterase activity is associated with antioxidant intake and paraoxonase-1 (PON1) gene methylation in metabolic syndrome patients following an energy restricted diet , 2014, EXCLI journal.

[28]  Dan Zhou,et al.  The regulation of hepatic Pon1 by a maternal high-fat diet is gender specific and may occur through promoter histone modifications in neonatal rats. , 2014, The Journal of nutritional biochemistry.

[29]  J. Jacobson,et al.  Domain-Specific Effects of Prenatal Exposure to PCBs, Mercury, and Lead on Infant Cognition: Results from the Environmental Contaminants and Child Development Study in Nunavik , 2014, Environmental health perspectives.

[30]  J. Kere,et al.  Differentially methylated regions in maternal and paternal uniparental disomy for chromosome 7 , 2013, Epigenetics.

[31]  J. Shim,et al.  Sex differences in the relationship between blood mercury concentration and metabolic syndrome risk , 2014, Journal of Endocrinological Investigation.

[32]  H. Jakubowski,et al.  Inactivation of the paraoxonase 1 gene affects the expression of mouse brain proteins involved in neurodegeneration. , 2014, Journal of Alzheimer's disease : JAD.

[33]  J. González,et al.  Prenatal Methylmercury Exposure and Genetic Predisposition to Cognitive Deficit at Age 8 Years , 2013, Epidemiology.

[34]  L. Costa,et al.  Paraoxonase 1 (PON1) as a genetic determinant of susceptibility to organophosphate toxicity. , 2013, Toxicology.

[35]  K. Beckman,et al.  Associations of PON1 and Genetic Ancestry with Obesity in Early Childhood , 2013, PloS one.

[36]  A. Franzblau,et al.  Mercury biomarkers and DNA methylation among michigan dental professionals , 2013, Environmental and molecular mutagenesis.

[37]  P. Laird,et al.  Low-level processing of Illumina Infinium DNA Methylation BeadArrays , 2013, Nucleic acids research.

[38]  Francesco Marabita,et al.  A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data , 2012, Bioinform..

[39]  S. Sagiv,et al.  Prenatal exposure to mercury and fish consumption during pregnancy and attention-deficit/hyperactivity disorder-related behavior in children. , 2012, Archives of Pediatrics & Adolescent Medicine.

[40]  Jun Ma,et al.  The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences , 2012, BMC Bioinformatics.

[41]  J. Kere,et al.  Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility , 2012, PloS one.

[42]  Devin C. Koestler,et al.  DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.

[43]  Margaret R. Karagas,et al.  Evidence on the Human Health Effects of Low-Level Methylmercury Exposure , 2012, Environmental health perspectives.

[44]  A. Tsatsakis,et al.  Role of paraoxonase 1 (PON1) in organophosphate metabolism: implications in neurodegenerative diseases. , 2011, Toxicology and applied pharmacology.

[45]  V. Boiteau,et al.  Relation between Methylmercury Exposure and Plasma Paraoxonase Activity in Inuit Adults from Nunavik , 2011, Environmental health perspectives.

[46]  Julie Herbstman,et al.  Prenatal environmental exposures, epigenetics, and disease. , 2011, Reproductive Toxicology.

[47]  Xiao Zhang,et al.  Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis , 2010, BMC Bioinformatics.

[48]  N. Holland,et al.  PON1 and Neurodevelopment in Children from the CHAMACOS Study Exposed to Organophosphate Pesticides in Utero , 2010, Environmental health perspectives.

[49]  C. Infante-Rivard Genetic association between single nucleotide polymorphisms in the paraoxonase 1 (PON1) gene and small-for-gestational-age birth in related and unrelated subjects. , 2010, American journal of epidemiology.

[50]  B. Nemeș,et al.  Paraoxonase 1 activities and polymorphisms in autism spectrum disorders , 2008, Journal of cellular and molecular medicine.

[51]  Mariana F. Fernández,et al.  Hair mercury levels, fish consumption, and cognitive development in preschool children from Granada, Spain . , 2010, Environmental research.

[52]  A. Hubbard,et al.  Developmental Changes in PON1 Enzyme Activity in Young Children and Effects of PON1 Polymorphisms , 2009, Environmental health perspectives.

[53]  Ron Dumont,et al.  Wide Range Assessment of Visual Motor Abilities , 2008 .

[54]  Jenny S. Radesky,et al.  Maternal fish intake during pregnancy, blood mercury levels, and child cognition at age 3 years in a US cohort. , 2008, American journal of epidemiology.

[55]  E. Topol,et al.  Relationship of paraoxonase 1 (PON1) gene polymorphisms and functional activity with systemic oxidative stress and cardiovascular risk. , 2008, JAMA.

[56]  S. Tong,et al.  Prenatal exposure to mercury and neurobehavioral development of neonates in Zhoushan City, China. , 2007, Environmental research.

[57]  Marika Berglund,et al.  Gender differences in the disposition and toxicity of metals. , 2007, Environmental research.

[58]  Paul M Jakus,et al.  Socioeconomic Consequences of Mercury Use and Pollution , 2007, Ambio.

[59]  Cheng Li,et al.  Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.

[60]  F. Macciardi,et al.  Paraoxonase gene variants are associated with autism in North America, but not in Italy: possible regional specificity in gene–environment interactions , 2005, Molecular Psychiatry.

[61]  K. Kleinman,et al.  Maternal Fish Consumption, Hair Mercury, and Infant Cognition in a U.S. Cohort , 2005, Environmental health perspectives.

[62]  L. Costa,et al.  Modulation of paraoxonase (PON1) activity. , 2005, Biochemical pharmacology.

[63]  W. Willett,et al.  Calibration of a semi-quantitative food frequency questionnaire in early pregnancy. , 2004, Annals of epidemiology.

[64]  K. Mahaffey,et al.  Blood organic mercury and dietary mercury intake: National Health and Nutrition Examination Survey, 1999 and 2000. , 2004, Environmental health perspectives.

[65]  E. Birman-Deych,et al.  In utero pesticide exposure, maternal paraoxonase activity, and head circumference. , 2003, Environmental health perspectives.

[66]  A. Stern,et al.  An assessment of the cord blood:maternal blood methylmercury ratio: implications for risk assessment. , 2003, Environmental health perspectives.

[67]  Mitsuo Oshimura,et al.  A new imprinted cluster on the human chromosome 7q21-q31, identified by human-mouse monochromosomal hybrids. , 2003, Genomics.

[68]  Jia Chen,et al.  Increased influence of genetic variation on PON1 activity in neonates. , 2003, Environmental health perspectives.

[69]  G. Jarvik,et al.  Effects of 5' regulatory-region polymorphisms on paraoxonase-gene (PON1) expression. , 2001, American journal of human genetics.

[70]  Roberta F. White,et al.  Cognitive deficit in 7-year-old children with prenatal exposure to methylmercury. , 1997, Neurotoxicology and teratology.

[71]  M. Harada,et al.  Minamata disease: methylmercury poisoning in Japan caused by environmental pollution. , 1995, Critical reviews in toxicology.