10 research outputs found
Additional file 1: of Exploring autism symptoms in an Australian cohort of patients with Prader-Willi and Angelman syndromes
Table S1. Age-equivalent (months) descriptive statistics on the MSEL subscales for AS participants. (DOCX 16 kb
Additional file 2: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
Scatter plots of genome-wide DNA methylation discordance within twin groups. (PPTX 331 kb
Additional file 6: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
Gene ontology (GO) analysis for top-ranked 1000 DMPs ranked by p value. (XLSX 20 kb
Additional file 8: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
Cross-platform validation of the two top DMRs, LTA and LIME1, between HM450 and EpiTYPER platforms. Pearson’s correlation coefficients for each probe are shown. The scale of both axes reflects a methylation value between 0 and 1 (β). The regression lines are shown in black. Based on the r value (correlation coefficient), correlations across both platforms are shown. The p-value indicates the significance of the correlation. (ZIP 126 kb
Additional file 4: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
MDS plots for preprocessed data. Samples are coloured based on chip location ranging from 1 to 3. The figure represents similarities between samples’ 1000 most variable probes based on Euclidean distance (sum of squared differences). Dimension 1 represents the largest variation in the dataset, and 2 and 3 are the second and third largest, respectively. (PDF 42 kb
Additional file 11: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
CpG sites (probes) within each twin pair group with an absolute methylation difference > 0.5 and their corresponding genes. Genes are colour coded to highlight overlaps between twin pair groups. (XLSX 30 kb
Additional file 1: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
Primer sequences used in site-specific validation using MassArray EpiTYPER. (XLSX 8 kb
Additional file 3: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
Heat map of the associations between the six largest principal components and specified covariates. The heat map provides a score of the strength of the association between DNA methylation (using M values) and each covariate, with positive and negative correlations ranging according to the magnitude (red positive, blue negative). The values in brackets for each association represent the p-value of the correlation. Of the six significant (p < 0.05) associations, all are weak (correlation < 0.6). Abbreviations: CP, cerebral palsy; PC, principal component; PIC, person in charge of performing DNA extraction; GA, gestational age; GMFCS, gross motor function classification system; Guthrie age, age in postnatal days when Guthrie card was made. (PDF 53 kb
Additional file 9: of Epigenome-wide analysis in newborn blood spots from monozygotic twins discordant for cerebral palsy reveals consistent regional differences in DNA methylation
DNA methylation differences within each discordant CP twin pair, identifying numerous loci showing large DNA methylation differences within each discordant twin pair. (PPTX 3104 kb