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Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array

ABSTRACT: Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array

PROVIDER: PRJNA510310 | ENA |

REPOSITORIES: ENA

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Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array

Project description:Assessing DNA methylation profiles in human blood has become a major focus of epidemiologic inquiry. Understanding variability in CpG-specific DNA methylation over moderate periods of time is a critical first step in identifying CpG sites that are candidates for DNA methylation-based etiologic, diagnostic and prognostic predictors of pathogenesis. Using the Illumina MethylationEPIC [850K] BeadArray, DNA methylation was profiled in paired whole blood samples collected approximately 1 year apart from 35 healthy women enrolled in the Nurses Study II cohort. The median intraclass correlation coefficient (ICC) across all CpG loci was 0.19 [Interquartile Range (IQR) 0.00–0.50]; 74.8% of ICCs were in the low range (0–0.5), 16.9% in the mid-range of ICCs (0.5–0.8), and 8.3% in the high-range of ICCs (0.8–1). ICCs were similar for CpG probes on the 450K Illumina array (median 0.17) and the new probes added to the 850K array (median 0.21). ICCs for CpG loci on the sex chromosomes and known metastable epialleles were high (median 0.71, 0.97, respectively), and ICCs among methylation quantitative trait loci (mQTL) CpGs were significantly higher as compared to non-mQTL CpGs (median 0.73, 0.16, respectively, P < 2 × 10–16). We observed wide variation in DNA methylation stability over a 1-year period. Probes considered non-stable, due to substantial variation over a moderate period of time and with minimal variability across individuals could be removed in large epidemiological studies. Moreover, adjusting for technical variation that arises from using high-dimensional arrays is critical.

2018-12-18 | GSE123914 | GEO

Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array.

Project description:Assessing DNA methylation profiles in human blood has become a major focus of epidemiologic inquiry. Understanding variability in CpG-specific DNA methylation over moderate periods of time is a critical first step in identifying CpG sites that are candidates for DNA methylation-based etiologic, diagnostic and prognostic predictors of pathogenesis. Using the Illumina MethylationEPIC [850K] BeadArray, DNA methylation was profiled in paired whole blood samples collected approximately 1 year apart from 35 healthy women enrolled in the Nurses Study II cohort. The median intraclass correlation coefficient (ICC) across all CpG loci was 0.19 [Interquartile Range (IQR) 0.00-0.50]; 74.8% of ICCs were in the low range (0-0.5), 16.9% in the mid-range of ICCs (0.5-0.8), and 8.3% in the high-range of ICCs (0.8-1). ICCs were similar for CpG probes on the 450K Illumina array (median 0.17) and the new probes added to the 850K array (median 0.21). ICCs for CpG loci on the sex chromosomes and known metastable epialleles were high (median 0.71, 0.97, respectively), and ICCs among methylation quantitative trait loci (mQTL) CpGs were significantly higher as compared to non-mQTL CpGs (median 0.73, 0.16, respectively, P < 2 × 10-16). We observed wide variation in DNA methylation stability over a 1-year period. Probes considered non-stable, due to substantial variation over a moderate period of time and with minimal variability across individuals could be removed in large epidemiological studies. Moreover, adjusting for technical variation that arises from using high-dimensional arrays is critical.

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Methylation arrays (MethylationEPIC) of longitudinal cord and peripheral blood from children aged 0, 5 and 10 years old

Project description:Extensive epigenetic remodelling takes place during early life; however, the alterations of DNA methylation that occur during this period have not been sufficiently addressed by longitudinal studies. We made use of the most recent Illumina MethylationEPIC Beadchip platform to characterize genome-wide DNA methylation changes observed through the first 10 years of life in longitudinal blood samples of 11 subjects. We described numerous changes during the first 5 years, while many less alterations in the following 5 year period. Interestingly, we identified a subset of persistent DNA methylation changes of considerable magnitude along the first 10 years of life. Moreover, our data demonstrated that genes that suffer simultaneous hyper- and hypomethylation are functionally different from genes that are exclusively hyper- or hypomethylated. Furthermore, our results evidence that enhancer-associated methylation changes are different for the gain or loss of methylation. throughout hematopoietic maturation by analyzing multiple hematopoietic cell types at different developmental stages. We identified a plethora of DNA methylation changes that occur during human hematopoietic differentiation. Interestingly, we observed that T lymphocytes display a substantial enhancement of de novo CpG hypermethylation as compared to other hematopoietic cell populations.

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