@article{HaertleMaierhoferBoecketal.2017,
  author    = {Haertle, Larissa and Maierhofer, Anna and B{\"o}ck, Julia and Lehnen, Harald and B{\"o}ttcher, Yvonne and Bl{\"u}her, Matthias and Schorsch, Martin and Potabattula, Ramya and El Hajj, Nady and Appenzeller, Silke and Haaf, Thomas},
  title     = {Hypermethylation of the non-imprinted maternal MEG3 and paternal MEST alleles is highly variable among normal individuals},
  series = {PLoS ONE},
  volume    = {12},
  journal   = {PLoS ONE},
  number    = {8},
  doi       = {10.1371/journal.pone.0184030},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-170433},
  pages     = {e0184030},
  year      = {2017},
  abstract  = {Imprinted genes show parent-specific activity (functional haploidy), which makes them particularly vulnerable to epigenetic dysregulation. Here we studied the methylation profiles of oppositely imprinted genes at single DNA molecule resolution by two independent parental allele-specific deep bisulfite sequencing (DBS) techniques. Using Roche (GSJunior) next generation sequencing technology, we analyzed the maternally imprinted MEST promoter and the paternally imprinted MEG3 intergenic (IG) differentially methylated region (DMR) in fetal cord blood, adult blood, and visceral adipose tissue. Epimutations were defined as paternal or maternal alleles with >50\% aberrantly (de)methylated CpG sites, showing the wrong methylation imprint. The epimutation rates (range 2-66\%) of the paternal MEST and the maternal MEG3 IG DMR allele, which should be completely unmethylated, were significantly higher than those (0-15\%) of the maternal MEST and paternal MEG3 alleles, which are expected to be fully methylated. This hypermethylation of the non-imprinted allele (HNA) was independent of parental origin. Very low epimutation rates in sperm suggest that HNA occurred after fertilization. DBS with Illumina (MiSeq) technology confirmed HNA for the MEST promoter and the MEG3 IG DMR, and to a lesser extent, for the paternally imprinted secondary MEG3 promoter and the maternally imprinted PEG3 promoter. HNA leads to biallelic methylation of imprinted genes in a considerable proportion of normal body cells (somatic mosaicism) and is highly variable between individuals. We propose that during development and differentiation maintenance of differential methylation at most imprinting control regions may become to some extent redundant. The accumulation of stochastic and environmentally-induced methylation errors on the non-imprinted allele may increase epigenetic diversity between cells and individuals.},
  language  = {en}
}
@article{HaertleElHajjDittrichetal.2017,
  author    = {Haertle, Larissa and El Hajj, Nady and Dittrich, Marcus and M{\"u}ller, Tobias and Nanda, Indrajit and Lehnen, Harald and Haaf, Thomas},
  title     = {Epigenetic signatures of gestational diabetes mellitus on cord blood methylation},
  series = {Clinical Epigenetics},
  volume    = {9},
  journal   = {Clinical Epigenetics},
  number    = {28},
  doi       = {10.1186/s13148-017-0329-3},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-159459},
  year      = {2017},
  abstract  = {Background: Intrauterine exposure to gestational diabetes mellitus (GDM) confers a lifelong increased risk for metabolic and other complex disorders to the offspring. GDM-induced epigenetic modifications modulating gene regulation and persisting into later life are generally assumed to mediate these elevated disease susceptibilities. To identify candidate genes for fetal programming, we compared genome-wide methylation patterns of fetal cord bloods (FCBs) from GDM and control pregnancies. Methods and results: Using Illumina's 450K methylation arrays and following correction for multiple testing, 65 CpG sites (52 associated with genes) displayed significant methylation differences between GDM and control samples. Four candidate genes, ATP5A1, MFAP4, PRKCH, and SLC17A4, from our methylation screen and one, HIF3A, from the literature were validated by bisulfite pyrosequencing. The effects remained significant after adjustment for the confounding factors maternal BMI, gestational week, and fetal sex in a multivariate regression model. In general, GDM effects on FCB methylation were more pronounced in women with insulin-dependent GDM who had a more severe metabolic phenotype than women with dietetically treated GDM. Conclusions: Our study supports an association between maternal GDM and the epigenetic status of the exposed offspring. Consistent with a multifactorial disease model, the observed FCB methylation changes are of small effect size but affect multiple genes/loci. The identified genes are primary candidates for transmitting GDM effects to the next generation. They also may provide useful biomarkers for the diagnosis, prognosis, and treatment of adverse prenatal exposures.},
  language  = {en}
}