scholarly journals Genome-wide DNA methylation profiling in whole blood reveals epigenetic signatures associated with migraine

BMC Genomics ◽  
2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Zachary F. Gerring ◽  
Allan F. McRae ◽  
Grant W. Montgomery ◽  
Dale R. Nyholt
2022 ◽  
Vol 12 (1) ◽  
Author(s):  
C. Iranzo-Tatay ◽  
D. Hervas-Marin ◽  
L. M. Rojo-Bofill ◽  
D. Garcia ◽  
F. J. Vaz-Leal ◽  
...  

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.


2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Nicklas H. Staunstrup ◽  
Anna Starnawska ◽  
Mette Nyegaard ◽  
Lene Christiansen ◽  
Anders L. Nielsen ◽  
...  

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi5-vi5
Author(s):  
Wies Vallentgoed ◽  
Anneke Niers ◽  
Karin van Garderen ◽  
Martin van den Bent ◽  
Kaspar Draaisma ◽  
...  

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.


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Youdinghuan Chen ◽  
David A. Armstrong ◽  
Lucas A. Salas ◽  
Haley F. Hazlett ◽  
Amanda B. Nymon ◽  
...  

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Lili Liu ◽  
Yanjie Chen ◽  
Taotao Liu ◽  
Jie Yu ◽  
Lili Ma ◽  
...  

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