Previously, we reported on inter-individual and gender specific variations of LINE-1 methylation in healthy individuals. In this study, we investigated whether this variability could be influenced by age or sex hormones in humans. To this end, we studied LINE-1 methylation in vivo in blood-derived DNA from individuals aged 18 to 64 years and from young healthy females at various hormone levels during the menstrual cycle. Our results show that no significant association with age was observed. However, the previously reported increase of LINE-1 methylation in males was reconfirmed. In females, although no correlation between LINE-1 or Alu methylation and hormone levels was observed, a significant stable individual specific level of methylation was noted. In vitro results largely confirmed these findings, as neither estrogen nor dihydrotestosterone affected LINE-1 or Alu methylation in Hek293T, HUVEC, or MDA-kb2 cell lines. In contrast, a decrease in methylation was observed in estrogen-treated T47-Kbluc cell lines strongly expressing estrogen receptor. The very low expression of estrogen receptor in blood cells could explain the observed insensitivity of methylation at LINE-1 to natural hormonal variations in females. In conclusion, neither natural cycle of hormones nor age has a detectable effect on the LINE-1 methylation in peripheral blood cells, while gender remains an important factor.

Abnormal sex chromosome numbers in humans are observed in Turner (45,X) and Klinefelter (47,XXY) syndromes. Both syndromes are associated with several clinical phenotypes, whose molecular mechanisms are obscure, and show a range of inter-individual penetrance. In order to understand the effect of abnormal numbers of X chromosome on the methylome and its correlation to the variable clinical phenotype, we performed a genome-wide methylation analysis using MeDIP and Illumina’s Infinium assay on individuals with four karyotypes: 45,X, 46,XY, 46,XX, and 47,XXY. DNA methylation changes were widespread on all autosomal chromosomes in 45,X and in 47,XXY individuals, with Turner individuals presenting five times more affected loci. Differentially methylated CpGs, in most cases, have intermediate methylation levels and tend to occur outside CpG islands, especially in individuals with Turner syndrome. The X inactivation process appears to be less effective in Klinefelter syndrome as methylation on the X was decreased compared to normal female samples. In a large number of individuals, we verified several loci by pyrosequencing and observed only weak inter-loci correlations between the verified regions. This suggests a certain stochastic/random contribution to the methylation changes at each locus. Interestingly, methylation patterns on some PAR2 loci differ between male and Turner syndrome individuals and between female and Klinefelter syndrome individuals, which possibly contributed to this distinguished and unique autosomal methylation patterns in Turner and Klinefelter syndrome individuals. The presented data clearly show that gain or loss of an X chromosome results in different epigenetic effects, which are not necessary opposite.

Background In a small group of typical hemophilia A (HA) patients no mutations in the F8 coding sequence (cDNA) could be found. In the current study, we performed a systematic screening of genetic and non‐genetic parameters associated with reduced FVIII:C levels in a group of mostly mild HA (only one moderate) patients with no detectable mutations in F8 cDNA. Methods We determined FVIII and VWF activity and antigen levels and performed VWF‐FVIII binding (VWF:FVIIIB) and VWF‐collagen binding assays (VWF:CB) as well as VWF multimer analysis. VWF was completely sequenced to exclude mutations. The F8 locus, including the introns, was sequenced using overlapping long‐range PCRs (LR‐PCRs) combined with a next generation sequencing (NGS) approach. Moreover, the F8 mRNA was analyzed quantitatively and qualitatively by real‐time PCR (qRT) and overlapping reverse transcription (RT) PCRs, respectively. Results All VWF tests were normal. The LR‐PCRs demonstrated the integrity of the F8 locus. Eight unique polymorphisms were found in the patients, with two being recurrent. Furthermore, RT‐PCRs analysis confirmed that two of the unique variants create detectable new cryptic splice sites in the patients that result in the introduction of intronic DNA sequences into the mRNA and create premature stop codons. Conclusion By systematically excluding all possible causes of HA, we could with great certainty conclude that deep intronic mutations in F8, although rare, cause abnormal mRNA splicing, leading to mild HA.

The precise mapping and quantification of DNA methylation as an epigenetic parameter during development and in diseased tissues is of great importance for functional genomics. Here we describe a rapid, quantitative method to assess methylation levels at specific CpG sites using PCR products of bisulfite-treated genomic DNA. Using single nucleotide primer extension (SNuPE) assays in combination with ion pair reverse phase high performance liquid chromatography (IP RP HPLC) separation techniques, methylated and unmethylated CpGs can be discriminated and quantified based on the different masses and hydrophobicities of the extended primer products. The assay is linear, highly reproducible and several sites can be measured simultaneously in one reaction. It can be semi-automated and eliminates the need for cloning and sequencing of individual bisulfite PCR products.

Causes underlying inter-individual variations in DNA methylation profiles among normal healthy populations are not thoroughly understood. To investigate the contribution of genetic variation in DNA methyltransferase (DNMT) genes to such epigenetic variation, we performed a systematic search for polymorphisms in all known human DNMT genes [ DNMT1 , DNMT3A , DNMT3B , DNMT3L and DNMT2 (TRDMT1 )] in 192 healthy males and females. One hundred and eleven different polymorphisms were detected. Of these, 24 were located in coding regions and 10 resulted in an amino acid change that may affect the corresponding DNMT protein structure or function. Association analysis between all major polymorphisms (frequency > 1%) and quantitative DNA methylation profiles did not return significant results after correction for multiple testing. Polymorphisms leading to an amino acid change were further investigated for changes in global DNA methylation by differential methylation hybridization. This analysis revealed that a rare change at DNMT3L (R271Q) was associated with significant DNA hypomethylation. Biochemical characterization confirmed that DNMT3L ^R271Q is impaired in its ability to stimulate de novo DNA methylation by DNMT3A. Methylated DNA immunoprecipitation based analysis using CpG island microarrays revealed that the hypomethylation in this sample preferentially clustered to subtelomeric genomic regions with affected loci corresponding to a subset of repetitive CpG islands with low predicted promoter potential located outside of genes.