scholarly journals Evaluation of affinity-based genome-wide DNA methylation data: Effects of CpG density, amplification bias, and copy number variation

2010 ◽  
Vol 20 (12) ◽  
pp. 1719-1729 ◽  
Author(s):  
M. D. Robinson ◽  
C. Stirzaker ◽  
A. L. Statham ◽  
M. W. Coolen ◽  
J. Z. Song ◽  
...  
F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1897
Author(s):  
Clarence K. Mah ◽  
Jill P. Mesirov ◽  
Lukas Chavez

Illumina Infinium DNA methylation arrays are a cost-effective technology to measure DNA methylation at CpG sites genome-wide and across cohorts of normal and cancer samples. While copy number alterations are commonly inferred from array-CGH, SNP arrays, or whole-genome DNA sequencing, Illumina Infinium DNA methylation arrays have been shown to detect copy number alterations at comparable sensitivity. Here we present an accessible, interactive GenePattern notebook for the analysis of copy number variation using Illumina Infinium DNA methylation arrays. The notebook provides a graphical user interface to a workflow using the R/Bioconductor packages minfi and conumee. The environment allows analysis to be performed without the installation of the R software environment, the packages and dependencies, and without the need to write or manipulate code.


2016 ◽  
Vol 22 (3) ◽  
pp. 505-515 ◽  
Author(s):  
Isabelle Cleynen ◽  
Peter Konings ◽  
Caroline Robberecht ◽  
Debby Laukens ◽  
Leila Amininejad ◽  
...  

PLoS ONE ◽  
2011 ◽  
Vol 6 (8) ◽  
pp. e24052 ◽  
Author(s):  
Marguerite R. Irvin ◽  
Nathan E. Wineinger ◽  
Treva K. Rice ◽  
Nicholas M. Pajewski ◽  
Edmond K. Kabagambe ◽  
...  

2008 ◽  
Vol 7 (4) ◽  
pp. 319-326 ◽  
Author(s):  
Hylke M Blauw ◽  
Jan H Veldink ◽  
Michael A van Es ◽  
Paul W van Vught ◽  
Christiaan GJ Saris ◽  
...  

2020 ◽  
Vol 52 (1) ◽  
Author(s):  
Dailu Guan ◽  
Amparo Martínez ◽  
Anna Castelló ◽  
Vincenzo Landi ◽  
María Gracia Luigi-Sierra ◽  
...  

2020 ◽  
Vol 10 (4) ◽  
Author(s):  
Zahra Haider ◽  
Mattias Landfors ◽  
Irina Golovleva ◽  
Martin Erlanson ◽  
Kjeld Schmiegelow ◽  
...  

AbstractDespite having common overlapping immunophenotypic and morphological features, T-cell lymphoblastic leukemia (T-ALL) and lymphoma (T-LBL) have distinct clinical manifestations, which may represent separate diseases. We investigated and compared the epigenetic and genetic landscape of adult and pediatric T-ALL (n = 77) and T-LBL (n = 15) patient samples by high-resolution genome-wide DNA methylation and Copy Number Variation (CNV) BeadChip arrays. DNA methylation profiling identified the presence of CpG island methylator phenotype (CIMP) subgroups within both pediatric and adult T-LBL and T-ALL. An epigenetic signature of 128 differentially methylated CpG sites was identified, that clustered T-LBL and T-ALL separately. The most significant differentially methylated gene loci included the SGCE/PEG10 shared promoter region, previously implicated in lymphoid malignancies. CNV analysis confirmed overlapping recurrent aberrations between T-ALL and T-LBL, including 9p21.3 (CDKN2A/CDKN2B) deletions. A significantly higher frequency of chromosome 13q14.2 deletions was identified in T-LBL samples (36% in T-LBL vs. 0% in T-ALL). This deletion, encompassing the RB1, MIR15A and MIR16-1 gene loci, has been reported as a recurrent deletion in B-cell malignancies. Our study reveals epigenetic and genetic markers that can distinguish between T-LBL and T-ALL, and deepen the understanding of the biology underlying the diverse disease localization.


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