scholarly journals A simple algorithm for quantifying DNA methylation levels on multiple independent CpG sites in bisulfite genomic sequencing electropherograms

2008 ◽  
Vol 36 (11) ◽  
pp. e64-e64 ◽  
Author(s):  
T. I. Leakey ◽  
J. Zielinski ◽  
R. N. Siegfried ◽  
E. R. Siegel ◽  
C.-Y. Fan ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Simple Algorithm ◽  
Genomic Sequencing ◽  
Bisulfite Genomic Sequencing ◽  
Cpg Sites

DNA methylation mapping by tag-modified bisulfite genomic sequencing

2006 ◽  
Vol 355 (1) ◽  
pp. 50-61 ◽  
Author(s):  
Weiguo Han ◽  
Stephane Cauchi ◽  
James G. Herman ◽  
Simon D. Spivack
Keyword(s):  
Dna Methylation ◽  
Genomic Sequencing ◽  
Bisulfite Genomic Sequencing

scholarly journals DNA methylation analysis by digital bisulfite genomic sequencing and digital MethyLight

2008 ◽  
Vol 36 (14) ◽  
pp. 4689-4698 ◽  
Author(s):  
D. J. Weisenberger ◽  
B. N. Trinh ◽  
M. Campan ◽  
S. Sharma ◽  
T. I. Long ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Genomic Sequencing ◽  
Methylation Analysis ◽  
Bisulfite Genomic Sequencing ◽  
Dna Methylation Analysis

Profiling DNA Methylation by Bisulfite Genomic Sequencing: Problems and Solutions

2004 ◽  
pp. 169-180 ◽  
Author(s):  
Liang Liu ◽  
Rebecca C. Wylie ◽  
Nathaniel J. Hansen ◽  
Lucy G. Andrews ◽  
Trygve O. Tollefsbol
Keyword(s):  
Dna Methylation ◽  
Genomic Sequencing ◽  
Bisulfite Genomic Sequencing ◽  
Sequencing Problems ◽  
Problems And Solutions

Variable estimation of genomic DNA methylation: a comparison of methyl-CpG binding domain column chromatography and bisulfite genomic sequencing

2002 ◽  
Vol 308 (1) ◽  
pp. 182-185 ◽  
Author(s):  
Masahiko Shiraishi ◽  
Azumi Sekiguchi ◽  
Adam J Oates ◽  
Michael J Terry ◽  
Yuji Miyamoto ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Column Chromatography ◽  
Genomic Dna ◽  
Binding Domain ◽  
Genomic Sequencing ◽  
Bisulfite Genomic Sequencing

scholarly journals Precise Epigenetic Analysis Using Targeted Bisulfite Genomic Sequencing Distinguishes FSHD1, FSHD2, and Healthy Subjects

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1469
Author(s):  
Taylor Gould ◽  
Takako I. Jones ◽  
Peter L. Jones
Keyword(s):  
Dna Methylation ◽  
Healthy Subjects ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Genetic Diagnostics ◽  
Genomic Sequencing ◽  
Epigenetic Changes ◽  
Bisulfite Genomic Sequencing ◽  
True Prevalence ◽  
The World ◽  
Epigenetic Analysis

The true prevalence of facioscapulohumeral muscular dystrophy (FSHD) is unknown due to difficulties with accurate clinical evaluation and the complexities of current genetic diagnostics. Interestingly, all forms of FSHD are linked to epigenetic changes in the chromosome 4q35 D4Z4 macrosatellite, suggesting that epigenetic analysis could provide an avenue for sequence-based FSHD diagnostics. However, studies assessing DNA methylation at the FSHD locus have produced conflicting results; thus, the utility of this technique as an FSHD diagnostic remains controversial. Here, we critically compared two protocols for epigenetic analysis of the FSHD region using bisulfite genomic sequencing: Jones et al., that contends to be individually diagnostic for FSHD1 and FSHD2, and Gaillard et al., that can identify some changes in DNA methylation levels between groups of clinically affected FSHD and healthy subjects, but is not individually diagnostic for any form of FSHD. We performed both sets of assays on the same genetically confirmed samples and showed that this discrepancy was due strictly to differences in amplicon specificity. We propose that the epigenetic status of the FSHD-associated D4Z4 arrays, when accurately assessed, is a diagnostic for genetic FSHD and can readily distinguish between healthy, FSHD1 and FSHD2. Thus, epigenetic diagnosis of FSHD, which can be performed on saliva DNA, will greatly increase accessibility to FSHD diagnostics for populations around the world.

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