The bioinformatics analyses were performed as described21 (link)53 (link). In brief, Y chromosome probes, rs-probe, and probes with average detection p-value > 0.01 were removed. After quality control and filtering, methylation data was obtained in 483,317 CpG sites. Beta-values were converted to M-values (M = log2 (β/(1 − β), which were used for all data analyses. Data were then quantile normalized and batch corrected with COMBAT84 (link). A linear regression model was used to identify differences in DNA methylation between women with PCOS and controls. To improve interpretation, after all the preprocessing steps, data were reconverted to beta-values, which are presented in tables and figures.
Zymo methylation kit
The Zymo Methylation Kit is a laboratory product designed for the analysis of DNA methylation. It provides a streamlined workflow for the conversion of unmethylated cytosine residues to uracil, facilitating the study of DNA methylation patterns.
3 protocols using zymo methylation kit
Genome-wide DNA Methylation Analysis in PCOS
The bioinformatics analyses were performed as described21 (link)53 (link). In brief, Y chromosome probes, rs-probe, and probes with average detection p-value > 0.01 were removed. After quality control and filtering, methylation data was obtained in 483,317 CpG sites. Beta-values were converted to M-values (M = log2 (β/(1 − β), which were used for all data analyses. Data were then quantile normalized and batch corrected with COMBAT84 (link). A linear regression model was used to identify differences in DNA methylation between women with PCOS and controls. To improve interpretation, after all the preprocessing steps, data were reconverted to beta-values, which are presented in tables and figures.
Genome-wide DNA Methylation Analysis
Genome-wide DNA Methylation in PCOS
The bioinformatics analyses were performed as described21 (link),69 (link) at the Department of Clinical Sciences at Lund University in Malmö. In brief, Y chromosome probes, rs–probe, and probes with average detection P–value >0.01 were removed. After quality control and filtering, methylation data were obtained for 483,317 CpG sites. Beta-values were converted to M–values (M = log2 (β/ (1 − β), which were used for all data analyses. Data were then quantile normalized and batch corrected with COMBAT70 (link). To improve the interpretation, after all the preprocessing steps, data were reconverted to beta-values, which are presented in tables and figures.
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