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Our study identified significant associations between methylation patterns and specific etiologic agents (i.e., HBV, HCV, and ethanol), tumor progression (stage and grade of differentiation), and tumor background (cirrhotic vs. non-cirrhotic surrounding tissue) for specific subsets of genes.
No association was observed between methylation patterns and serum folate levels in either mother's blood or cord blood.
To examine the effect of methylations both proximal and distal to TSS on gene expression, we performed a correlation analysis between methylation patterns and gene expression.
Of relevance to this work, they describe a correlation between methylation patterns and expression of levels of LEC1, Wuschel-related homeobox4 (WOX4) and BBM in coffee.
Analyzing the methylation status of the natural homoploid hybrid Solanum ruiz-lealii by MSAP technique and Southern blot, we found association between methylation patterns and abnormal flower phenotypes.
We also identified associations between methylation patterns and dietary niacin but are not aware of any animal or human studies that have identified a similar association.
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The correlation between methylation pattern and patient's clinicopathological data was not significantly associated with histological grade; tumour stage (TNM); tumour size; ER, PR or ERBB2 status; lymph node status; metastasis or recurrence.
We used the Illumina GoldenGate Cancer Methylation Panel to compare DNA methylation in the three main histologic subtypes of pediatric GCTs (germinoma, teratoma and yolk sac tumor (YST); N = 51) and used recursively partitioned mixture models (RPMM) to test associations between methylation pattern and tumor and demographic characteristics.
To analyze the association between methylation patterns of MTHFR and idiopathic male infertility with normal and abnormal sperm concentrations, chi-square trend tests were performed.
While the concept of epiallelic introgression to phenotypic gain is still vague and yet to be explored in rice genetics and breeding, the establishment of reference genome sequences with well annotated upstream regulatory sequences should set the stage for future large-scale association between DNA methylation patterns and upstream sequence variation.
These results suggest us to further build the association between the methylation patterns and the phenotypic variations, and explore the possibility of the region as a biomarker in resistant breeding.
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between methylation sites and
between community patterns and
between vegetation patterns and
between inheritance patterns and
between work patterns and
between career patterns and
between breathing patterns and
between mobility patterns and
between methylation values and
between methylation levels and
between triage patterns and
between sleep patterns and
between dietary patterns and
between iris patterns and
between domain patterns and
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