Background: Infinium HumanMethylation 450 BeadChip Arrays by Illumina (Illumina HM450K) are among the most popular CpG microarray platforms widely used in biological and medical research. Several recent studies highlighted the potentially confounding impact of the genomic variation on the results of methylation studies performed using Illumina's Infinium methylation probes. However, the complexity of SNPs impact on the methylation level measurements (β values) has not been comprehensively described.
Results: In our comparative study of European and Asian populations performed using Illumina HM450K, we found that the majority of Infinium probes, which differentiated two examined groups, had SNPs in their target sequence. Characteristic tri-modal or bi-modal patterns of β values distribution among individual samples were observed for CpGs with SNPs in the first and second position, respectively. To better understand how SNPs affect methylation readouts, we investigated their impact in the context of SNP position and type, and of the Illumina probe type (Infinium I or II).
Conclusions: Our study clearly demonstrates that SNP variation existing in the genome, if not accounted for, may lead to false interpretation of the methylation signal differences suggested by some of the Illumina Infinium probes. In addition, it provides important practical clues for discriminating between differences due to the methylation status and to the genomic polymorphisms, based on the inspection of methylation readouts in individual samples. This approach is of special importance when Illumina Infinium assay is used for any comparative population studies, whether related to cancer, disease, ethnicity where SNP frequencies differentiate the studied groups.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4659175 | PMC |
http://dx.doi.org/10.1186/s12864-015-2202-0 | DOI Listing |
Mol Cell
December 2024
Wellcome Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, UK; Epigenetics Programme, Babraham Institute, Cambridge CB22 3AT, UK. Electronic address:
Promoters of developmental genes in embryonic stem cells (ESCs) are marked by histone H3 lysine 4 trimethylation (H3K4me3) and H3K27me3 in an asymmetric nucleosomal conformation, with each sister histone H3 carrying only one of the two marks. These bivalent domains are thought to poise genes for timely activation upon differentiation. Here, we show that asymmetric bivalent nucleosomes recruit repressive H3K27me3 binders but fail to enrich activating H3K4me3 binders, thereby promoting a poised state.
View Article and Find Full Text PDFAnal Chem
December 2024
College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, People's Republic of China.
Insight into the epigenetic modulation-correlated molecule interactions has significant implications for the in-depth understanding of intracellular intricate biological networks. However, there is currently a lack of reliable biological tools for elucidating the potential correlation between epigenetic regulators and relevant genes, e.g.
View Article and Find Full Text PDFMethods Mol Biol
November 2024
The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel.
Next-generation sequencing has revolutionized epigenetics research, enabling a comprehensive analysis of DNA methylation and histone modification profiles to explore complex biological systems at unprecedented depth. Deciphering the intricate epigenetic mechanisms that regulate gene activity presents significant challenges, including the issue of analyzing heterogeneous cell populations in bulk. Bulk analysis introduces bias and can obscure crucial information by averaging readouts from distinct cells.
View Article and Find Full Text PDFChest
November 2024
Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM; Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM; Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, NM. Electronic address:
Background: We previously identified a panel of sputum DNA methylation that predicts lung aging and risk for lung cancer.
Research Question: Can the sputum methylation panel be used as a readout to derive a dietary pattern beneficial for lung health? Is this dietary pattern associated with various subjective and objective lung health phenotypes? Does this relationship vary among people who currently smoke (current smokers) vs previously smoked (former smokers)?
Study Design And Methods: Using the Lovelace Smoker Cohort (LSC), we employed the LASSO (least absolute shrinkage and selection operator) regularized Poisson regression to define a dietary pattern for sputum. Associations of the dietary pattern with objective and subjective lung health measurements were examined using generalized linear and Cox models in the LSC and the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening trial.
Small Methods
November 2024
Laboratory of Experimental Physical Biology, Department of Chemistry, Zhejiang University, Hangzhou, 310058, P. R. China.
DNA methylation discrimination is often challenged by complicated pretreatment, insufficient sensitivity, and suboptimal accuracy. Here, single-molecule readout of DNA methylation is reported using single-layer MoS nanopores. By tuning pore dimension, the sensitivity of MoS nanopores is manipulated, empowering both labeling and labeling-free strategies for DNA methylation discrimination.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!