scholarly journals Genome-wide DNA methylation profiling in anorexia nervosa discordant identical twins

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
C. Iranzo-Tatay ◽  
D. Hervas-Marin ◽  
L. M. Rojo-Bofill ◽  
D. Garcia ◽  
F. J. Vaz-Leal ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Anorexia Nervosa ◽  
Whole Blood ◽  
Monozygotic Twin ◽  
Psychological Traits ◽  
Metabolic Traits ◽  
Genome Wide ◽  
A Genome ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

AbstractUp until now, no study has looked specifically at epigenomic landscapes throughout twin samples, discordant for Anorexia nervosa (AN). Our goal was to find evidence to confirm the hypothesis that epigenetic variations play a key role in the aetiology of AN. In this study, we quantified genome-wide patterns of DNA methylation using the Infinium Human DNA Methylation EPIC BeadChip array (“850 K”) in DNA samples isolated from whole blood collected from a group of 7 monozygotic twin pairs discordant for AN. Results were then validated performing a genome-wide DNA methylation profiling using DNA extracted from whole blood of a group of non-family-related AN patients and a group of healthy controls. Our first analysis using the twin sample revealed 9 CpGs associated to a gene. The validation analysis showed two statistically significant CpGs with the rank regression method related to two genes associated to metabolic traits, PPP2R2C and CHST1. When doing beta regression, 6 of them showed statistically significant differences, including 3 CpGs associated to genes JAM3, UBAP2L and SYNJ2. Finally, the overall pattern of results shows genetic links to phenotypes which the literature has constantly related to AN, including metabolic and psychological traits. The genes PPP2R2C and CHST1 have both been linked to the metabolic traits type 2 diabetes through GWAS studies. The genes UBAP2L and SYNJ2 have been related to other psychiatric comorbidity.

scholarly journals Genome-wide DNA methylation profiling with MeDIP-seq using archived dried blood spots

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Nicklas H. Staunstrup ◽  
Anna Starnawska ◽  
Mette Nyegaard ◽  
Lene Christiansen ◽  
Anders L. Nielsen ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Dried Blood Spots ◽  
Blood Spots ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

EPCO-17. METHYLATION ANALYSIS OF MATCHED PRIMARY AND RECURRENT IDHmt ASTROCYTOMA; AN UPDATE FROM THE GLIOMA LONGITUDINAL ANALYSIS NL (GLASS-NL) CONSORTIUM

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi5-vi5
Author(s):  
Wies Vallentgoed ◽  
Anneke Niers ◽  
Karin van Garderen ◽  
Martin van den Bent ◽  
Kaspar Draaisma ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Surgical Resection ◽  
Molecular Mechanisms ◽  
Relative Proportion ◽  
Low Grade ◽  
High Grade ◽  
Primary Tumors ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

Abstract The GLASS-NL consortium, was initiated to gain insight into the molecular mechanisms underlying glioma evolution and to identify markers of progression in IDH-mutant astrocytomas. Here, we present the first results of genome-wide DNA-methylation profiling of GLASS-NL samples. 110 adult patients were identified with an IDH-mutant astrocytoma at first diagnosis. All patients underwent a surgical resection of the tumor at least twice, separated by at least 6 months (median 40.9 months (IQR: 24.0, 64.7). In 37% and 18% of the cases, patients were treated with radiotherapy or chemotherapy respectively, before surgical resection of the recurrent tumor. DNA-methylation profiling was done on 235 samples from 103 patients (102 1st, 101 2nd, 29 3rd, and 3 4th resection). Copy number variations were also extracted from these data. Methylation classes were determined according to Capper et al. Overall survival (OS) was measured from date of first surgery. Of all primary tumors, the methylation-classifier assigned 85 (87%) to the low grade subclass and 10 (10%) to the high grade subclass. The relative proportion of high grade tumors increased ~three-fold at tumor recurrence (32/101, 32%) and even further in the second recurrence (15/29, 52%). Methylation classes were prognostic, both in primary and recurrent tumors. The overall DNA-methylation levels of recurrent samples was lower than that of primary samples. This difference is explained by the increased number of high grade samples at recurrence, since near identical DNA-methylation levels were observed in samples that remained low grade. In an unsupervised analysis, DNA-methylation data derived from primary and first recurrence samples of individual patients mostly (79%) cluster together. Recurrent samples that do not cluster with their primary tumor, form a separate group with relatively low genome-wide DNA-methylation. Our data demonstrate that methylation profiling identifies a shift towards a higher grade at tumor progression coinciding with reduced genome-wide DNA-methylation levels.

scholarly journals Genome-wide DNA methylation profiling shows a distinct epigenetic signature associated with lung macrophages in cystic fibrosis

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Youdinghuan Chen ◽  
David A. Armstrong ◽  
Lucas A. Salas ◽  
Haley F. Hazlett ◽  
Amanda B. Nymon ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Dna Methylation ◽  
Lung Macrophages ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

Genome-wide DNA methylation profiling and gut flora analysis in intestinal polyps patients

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Lili Liu ◽  
Yanjie Chen ◽  
Taotao Liu ◽  
Jie Yu ◽  
Lili Ma ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Gut Flora ◽  
Intestinal Polyps ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

scholarly journals Genome-Wide DNA Methylation Profiling in the Lotus (Nelumbo nucifera) Flower Showing its Contribution to the Stamen Petaloid

Plants ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 135 ◽  
Author(s):  
Zhongyuan Lin ◽  
Meihui Liu ◽  
Rebecca Njeri Damaris ◽  
Tonny Maraga Nyong’a ◽  
Dingding Cao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Bisulfite Sequencing ◽  
Epigenetic Modification ◽  
Nelumbo Nucifera ◽  
Flower Formation ◽  
Relationship Analysis ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

DNA methylation is a vital epigenetic modification. Methylation has a significant effect on the gene expression influencing the regulation of different physiological processes. Current studies on DNA methylation have been conducted on model plants. Lotus (Nelumbo nucifera) is a basic eudicot exhibiting variations during development, especially in flower formation. DNA methylation profiling was conducted on different flower tissues of lotuses through whole genome bisulfite sequencing (WGBS) to investigate the effects of DNA methylation on its stamen petaloid. A map of methylated cytosines at the single base pair resolution for the lotus was constructed. When the stamen was compared with the stamen petaloid, the DNA methylation exhibited a global decrease. Genome-wide relationship analysis between DNA methylation and gene expression identified 31 different methylation region (DMR)-associated genes, which might play crucial roles in floral organ formation, especially in the stamen petaloid. One out of 31 DMR-associated genes, NNU_05638 was homolog with Plant U-box 33 (PUB33). The DNA methylation status of NNU_05638 promoter was distinct in three floral organs, which was confirmed by traditional bisulfite sequencing. These results provide further insights about the regulation of stamen petaloids at the epigenetic level in lotus.

scholarly journals Genome‐wide DNA methylation profiling shows molecular heterogeneity of anaplastic pleomorphic xanthoastrocytoma

2019 ◽  
Vol 110 (2) ◽  
pp. 828-832 ◽  
Author(s):  
Taishi Nakamura ◽  
Kohei Fukuoka ◽  
Yoshiko Nakano ◽  
Kai Yamasaki ◽  
Yuko Matsushita ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Pleomorphic Xanthoastrocytoma ◽  
Molecular Heterogeneity ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling
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