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Epigenetic investigation of variably X chromosome inactivated genes in monozygotic female twins discordant for primary biliary cirrhosis.

ABSTRACT: Primary biliary cirrhosis (PBC) is an autoimmune chronic cholestatic liver disease with a strong genetic susceptibility due to the high concordance in monozygotic (MZ) twins and a striking female predominance. Women with PBC manifest an enhanced X monosomy rate in peripheral lymphocytes and we thus hypothesized an X chromosome epigenetic component to explain PBC female prevalence. While most genes on the female inactive X chromosome are silenced by promoter methylation following X chromosome inactivation (XCI), approximately 10% of X- linked genes exhibit variable escape from XCI in healthy females. This study was designed to test the hypothesis that susceptibility to PBC is modified by one or more X-linked gene with variable XCI status. Peripheral blood mRNA and DNA samples were obtained from a unique cohort of MZ twin sets discordant and concordant for PBC. Transcript levels of the 125 variable XCI status genes was determined by quantitative RT-PCR analysis and two genes (CLIC2 and PIN4) were identified as consistently downregulated in the affected twin of discordant pairs. Both CLIC2 and PIN4 demonstrated partial and variable methylation of CpG sites within 300 bp of the transcription start site that did not predict the XCI status. Promoter methylation of CLIC2 manifested no significant difference between samples and no significant correlation with transcript levels. PIN4 methylation showed a positive trend with transcription in all samples but no differential methylation was observed between discordant twins. A genetic polymorphism affecting the number of CpG sites in the PIN4 promoter did not impact methylation or transcript levels in a heterozygous twin pair and showed a similar frequency in independent series of unrelated PBC cases and controls. Our results suggest that epigenetic factors influencing PBC onset are more complex than methylation differences at X-linked promoters and variably 3 inactivated X-linked genes may be characterized by partial promoter methylation and biallelic transcription.

SUBMITTER: Mitchell MM

PROVIDER: S-EPMC3029486 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Although monozygotic (MZ) twins share the majority of their genetic makeup, they can be phenotypically discordant on several traits and diseases. DNA methylation is an epigenetic mechanism that can be influenced by genetic, environmental and stochastic events and may have an important impact on individual variability. In this study we explored epigenetic differences in peripheral blood samples in three MZ twin studies on major depressive disorder (MDD). Epigenetic data for twin pairs were collected as part of a previous study using 8.1-K-CpG microarrays tagging DNA modification in white blood cells from MZ twins discordant for MDD. Data originated from three geographical regions: UK, Australia and the Netherlands. Ninety-seven MZ pairs (194 individuals) discordant for MDD were included. Different methods to address non independently-and-identically distributed (non-i.i.d.) data were evaluated. Machine-learning methods with feature selection centered on support vector machine and random forest were used to build a classifier to predict cases and controls based on epivariations. The most informative variants were mapped to genes and carried forward for network analysis. A mixture approach using principal component analysis (PCA) and Bayes methods allowed to combine the three studies and to leverage the increased predictive power provided by the larger sample. A machine-learning algorithm with feature reduction classified affected from non-affected twins above chance levels in an independent training-testing design. Network analysis revealed gene networks centered on the PPAR-γ (NR1C3) and C-MYC gene hubs interacting through the AP-1 (c-Jun) transcription factor. PPAR-γ (NR1C3) is a drug target for pioglitazone, which has been shown to reduce depression symptoms in patients with MDD. Using a data-driven approach we were able to overcome challenges of non-i.i.d. data when combining epigenetic studies from MZ twins discordant for MDD. Individually, the studies yielded negative results but when combined classification of the disease state from blood epigenome alone was possible. Network analysis revealed genes and gene networks that support the inflammation hypothesis of MDD.

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Epigenetic investigation of variably X chromosome inactivated genes in monozygotic female twins discordant for primary biliary cirrhosis.

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