Biology subjects

Heijmans, B.

Publications and source records attributed to Heijmans, B..

4 recordsLinked to original sources

bioRxiv2025

Unified high-resolution immune cell fraction estimation in blood tissue from birth to old age

BackgroundBlood is composed of many different immune cell-types, whose proportions vary throughout life. If not accounted for, these variations can seriously cause confounding or hamper interpretation of DNAm-based biomarkers. Although cell-type deconvolution methods can address this challenge for cord and adult blood, there is currently no method that can be applied to blood tissue from other age groups, including infants and children. ResultsHere we construct and extensively validate a DNAm reference panel, called UniLIFE, for 19 immune cell-types, applicable to blood tissue of any age. We use UniLIFE to delineate the dynamics of immune-cell fractions from birth to old age, and to infer disease associated immune cell fraction variations in newborns, infants, children and adults. In a prospective longitudinal study of type-1 diabetes in infants and children, UniLIFE identifies differentially methylated positions that precede type-1 diabetes diagnosis and that map to diabetes related signaling pathways. In contrast to previous studies, we are able to validate these biomarker associations in an independent DNAm dataset comprising purified monocytes from monozygotic twins discordant for type-1 diabetes, but not in lymphocytes, highlighting the importance of epigenetic changes in the innate immune system in the development of type-1 diabetes. ConclusionsIn summary, we present a life course immune-cell estimator for blood tissue of any age to help improve the identification and interpretation of blood-based DNAm biomarkers for any age groups and specially for longitudinal studies that include infants and children. The UniLIFE DNAm reference panel and algorithms to estimate cell-type fractions and perform cell-type deconvolution are available from our EpiDISH Bioconductor R-package: https://bioconductor.org/packages/release/bioc/html/EpiDISH.html

bioinformatics↗

bioRxiv2024

Identification of SENP7 and UTF1/VENTX as new loci influencing clusteredprotocadherin methylation across blood and brain using a genome-wide associationstudy

The epigenetic regulation of clustered protocadherin (cPCDH) genes is tightly linked to their function as specific cell surface barcodes for neural self-nonself discrimination. Differential cPCDH DNA methylation in both blood and brain has been implicated in diverse human traits and diseases ranging from BMI, aging, cancer and brain disorders. However, the unique regulation of cPCDH methylation remains poorly understood. Therefore, we performed a genome-wide association study to evaluate the association of >7 million genetic variants with DNA methylation at 607 cPCDH CpGs measured in whole blood of 3777 individuals and validated findings in prefrontal cortex samples obtained from 523 brain donors. We observed concordant cPCDH methylation patterns in blood and prefrontal cortex, which switched between hypo-, intermediate and hypermethylation over short distances with the former overlapping with the promoter regions of each cPCDH member. Through methylation quantitative trait locus (meQTL) analysis in trans, we first confirmed the broad effect of the candidate gene SMCHD1 on cPCDH methylation in blood which validated in prefrontal cortex. Through a genome-wide analysis, we next identified the SENP7 and UTF1/VENTX loci to have widespread, subcluster-specific effects on cPCDH methylation in blood which was validated in prefrontal cortex. While SENP7 can indirectly affect DNA methylation through the deSUMOylation of the chromatin repressor KAP1, UTF1 and VENTX are two genes involved in embryonic development not previously implicated in epigenetic regulation. Our findings shed new light on the processes involved in cPCDH methylation that may underlie associations with disease.

genetics↗

bioRxiv2023

The inactive X chromosome accumulates widespread epigenetic variability with age

BackgroundLoss of epigenetic control is a hallmark of aging. Among the most prominent roles of epigenetic mechanisms is the inactivation of one of two copies of the X chromosome in females through DNA methylation. Hence, age-related disruption of X-chromosome inactivation (XCI) may contribute to the ageing process in women. MethodsWe analyzed 9,777 CpGs on the X chromosome in whole blood samples from 2343 females and 1688 males. We replicated findings in duplicate using one whole blood and one purified monocyte data set (in total, 991/924 females/males). We used double generalized linear models (DGLM) to detect age-related differentially methylated CpGs (aDMCs), whose mean methylation level differs with age, and age-related variable methylated CpGs (aVMCs), whose methylation level becomes more variable with age. ResultsIn females, aDMCs were relatively uncommon (n=33) and preferentially occurred in regions known to escape XCI. In contrast, many CpGs (n=987) were found to display an increased variance with age (aVMCs). Of note, the replication rate of aVMCs was also high in purified monocytes (95%), indicating that their occurrence may be independent of cell composition. aVMCs accumulated in CpG islands and regions subject to XCI. Although few aVMCs were associated with X-linked genes in all females studied, an exploratory analysis suggested that such associations may be more common in old females. In males, aDMCs (n=316) were primarily driven by cell composition, while aVMCs replicated well (94%) but were infrequent (n=37). ConclusionsAge-related DNA methylation differences at the inactive X chromosome are dominated by the accumulation of variability.

genetics↗

bioRxiv2021

Sex-dependent gene regulation of human atherosclerotic plaques by DNA methylation and transcriptome integration points to smooth muscle cell involvement in women.

Sex differences are evident in the clinical presentation and underlying histology of atherosclerotic disease with women developing more stable atherosclerotic lesions than men. It is unknown whether this is explained by sex differences in gene regulation in cellular compartments of atherosclerotic plaques. To study sex differences in gene regulation we performed genome-wide DNA methylation and transcriptomics analysis on plaques of 485 carotid endarterectomy patients (31% female). Sex-differential DNA methylation at 4,848 sites in the autosome was enriched for cell-fate commitment and developmental processes, and its deconvolution predicted more smooth muscle cells in females, as compared to more immune cells in males. RNA-sequencing of the same plaques corroborated the sex differences in DNA methylation predicted cell-types, in which genes that were higher expressed in females were enriched for TGF-beta signaling and extracellular matrix biology. In addition, female-biased genes were enriched for targeting by regulatory loci based on sex differential methylation. Lastly, by using single-cell RNA sequencing we showed that these female-biased genes are mostly expressed in smooth muscle cells, and higher expressed in smooth muscle cells from female (predominantly stable) plaques as compared to male (relatively unstable) plaques. Our approach identified female-biased genes in smooth muscle cells in fibrous atherosclerotic plaques. This points towards new mechanisms in smooth muscle cell biology of stable atherosclerotic plaques and offers new directions for research to develop new sex-specific therapeutics for atherosclerotic disease.

genomics↗