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Table 1 CpG context profiles of ageCGs and non-ageCGs across tissues a

From: Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape

 

AgeCGsb

Non-ageCGsc

P-valued

Blood:

   

  Island

533 (57.7%)

8,106 (45.2%)

 

  Shore

217 (23.5%)

5,915 (33.0%)

2.48 × 10-13

  Other

174 (18.8%)

3,923 (21.9%)

 

Brain:

   

  Island

646 (54.1%)

7,486 (49.4%)

 

  Shore

351 (29.4%)

5,132 (33.9%)

3.16 × 10-3

  Other

198 (16.6%)

2,532 (16.7%)

 

Kidney:

   

  Island

987 (36.8%)e

6,005 (46.2%)

 

  Shore

859 (32.1%)

4,086 (31.5%)

<2.2 × 10-16

  Other

833 (31.1%)

2,898 (22.3%)

 

Muscle:

   

  Island

476 (48.6%)

5,978 (41.6%)

 

  Shore

242 (24.7%)

5,038 (35.1%)

3.14 × 10-10

  Other

262 (26.7%)

3,353 (23.3%)

 
  1. aPercentage of total CpGs for each tissue indicated in parentheses.
  2. bAge-associated CpGs (q < 0.05 with linear regression model).
  3. cNon-age-associated CpGs (q > 0.5 with linear regression model).
  4. dResulting P-values from Pearson’s Chi-squared tests (3x3 contingency tables containing ageCGs and non-ageCGs).
  5. eAgeCGs from kidney tissue are less frequently found in islands compared to other tissues.
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Genome Biology

ISSN: 1474-760X

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