Publications
Export 15 results:
Auteur Title [ Type
Filtres: Auteur is MacIsaac, Julia L [Enlever les filtres]
Agreement in DNA methylation levels from the Illumina 450K array across batches, tissues, and time.. Epigenetics. 13(1):19-32.
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2018. Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism influences the association of the methylome with maternal anxiety and neonatal brain volumes.. Dev Psychopathol. 27(1):137-50.
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2015. Choice of surrogate tissue influences neonatal EWAS findings.. BMC Med. 15(1):211.
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2017. Comparison of Methyl-capture Sequencing vs. Infinium 450K methylation array for methylome analysis in clinical samples.. Epigenetics. 11(1):36-48.
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2016. Developmental pathways to adiposity begin before birth and are influenced by genotype, prenatal environment and epigenome.. BMC Med. 15(1):50.
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2017. DNA methylome variation in a perinatal nurse-visitation program that reduces child maltreatment: a 27-year follow-up.. Transl Psychiatry. 8(1):15.
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2018. The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes.. Genome Res. 24(7):1064-74.
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2014. funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types.. Bioinformatics. 32(4):593-5.
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2016. HIF3A association with adiposity: the story begins before birth.. Epigenomics. 7(6):937-50.
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2015. Infinium monkeys: Infinium 450K array for the Cynomolgus macaque (Macaca fascicularis).. G3 (Bethesda). 4(7):1227-34.
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2014. Internalizing symptoms associate with the pace of epigenetic aging in childhood.. Biol Psychol. 159:108021.
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2021. Maternal antenatal depression and child mental health: Moderation by genomic risk for attention-deficit/hyperactivity disorder.. Dev Psychopathol. 32(5):1810-1821.
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2020. Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome.. Genes Brain Behav. :e12576.
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2019. The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells.. Proc Natl Acad Sci U S A.
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2019. PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores.. BMC Bioinformatics. 19(1):295.
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