Skip to main content

Table 2 Trans-ethnic meta-analyses of associations between kidney traits and DNAm-based age and lifespan predictors

From: DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function

Clock

eGFR

CKD

β

95% CI

p

I2

phet

OR

95% CI

p

I2

phet

HorvathAA

 − 0.006

 − 0.01, − 0.003

5.15E−04

38.696

0.121

1.019

1.003, 1.034

0.016

13.663

0.323

HannumAA

 − 0.007

 − 0.011, − 0.004

1.05E−04

0

0.816

1.033

1.016, 1.05

8.55E−05

44.898

0.08

GrimAA

 − 0.006

 − 0.01, − 0.002

1.94E−03

63.474

0.008

1.027

1.01, 1.044

1.27E−03

77.714

5.2E−05

PhenoAA

 − 0.005

 − 0.008, − 0.002

2.62E−04

0

0.564

1.031

1.018, 1.044

3.19E−06

33.885

0.158

EEAA

 − 0.008

 − 0.012, − 0.005

2.09E−06

43.328

0.09

1.038

1.022, 1.055

3.41E−06

49.636

0.053

MRS

 − 0.117

 − 0.158, − 0.075

4.39E−08

27.67

0.208

1.784

1.474, 2.159

2.71E−09

68.295

0.002a

IEAA

 − 0.004

 − 0.008, 0

0.051

16.08

0.303

1.007

0.99, 1.025

0.427

2.365

0.411

Clock

uACR

Microalbuminuria

β

95% CI

p

I2

phet

OR

95% CI

p

I2

phet

HorvathAA

0.002

 − 0.004, 0.008

0.606

0

0.632

1.014

0.992, 1.036

0.223

0

0.703

HannumAA

0.014

0.009, 0.02

2.04E−06

0

0.967

1.054

1.032, 1.076

1.08E−06

0

0.898

GrimAA

0.029

0.021, 0.037

1.07E−12

7.22

0.357

1.106

1.074, 1.138

7.58E−12

0

0.59

PhenoAA

0.01

0.005, 0.015

2.71E−05

0

0.787

1.035

1.017, 1.053

8.96E−05

0

0.612

EEAA

0.013

0.008, 0.017

4.62E−07

0

0.989

1.048

1.03, 1.066

1.42E−07

0

0.86

MRS

0.252

0.179, 0.324

1.01E−11

76.128

0.006a

2.238

1.734, 2.889

6.14E−10

67.72

0.026a

IEAA

0.002

 − 0.004, 0.008

0.529

0

0.847

1.015

0.991, 1.04

0.214

0

0.769

Clock

Urate

β

95% CI

p

I2

phet

HorvathAA

0.003

 − 0.001, 0.007

0.12

0

0.453

HannumAA

0.005

0.001, 0.009

0.011

0

0.919

GrimAA

0.009

0.004, 0.013

1.17E−04

56.31

0.057

PhenoAA

0.009

0.006, 0.012

4.71E−08

0

0.432

EEAA

0.007

0.004, 0.011

4.37E−05

41.60

0.144

MRS

0.115

0.067, 0.162

2.08E−06

12.16

0.336

IEAA

 − 0.001

 − 0.005, 0.003

0.675

0

0.797

  1. Results from trans-ethnic meta-analyses of associations between kidney traits and DNAm-based age and lifespan predictors in up to seven population-based studies. Study-level associations were adjusted for chronological age, sex, BMI, blood lipids, hypertension, smoking and diabetes. Beta coefficients are given as changes in one standard deviation (SD) of the continuous kidney trait. Fully adjusted associations of serum-creatinine-based traits (eGFR, CKD) are based on N ≤ 9390 observations, whereas the sample size for urinary albumin-based traits (uACR, microalbuminuria) is N ≤ 4406 and for urate N ≤ 5769. I2 is the heterogeneity statistic, and (Q) phet corresponds to Cochran’s Q heterogeneity statistic
  2. Shown in bold are statistically significant associations (p < 1.43E-03 and consistent direction of effect across studies) with either no evidence of heterogeneity in the fixed-effects model or supporting findings from the random-effects model
  3. aphet of MRS with CKD, uACR and microalbuminuria < 0.05, therefore reported association based on significant random-effects models: MRS-uACR: β = 0.248 [0.1, 0.397], p = 1.061E−03; MRS-CKD: OR = 1.915 [1.316, 2.786], p = 6.89E−04; and MRS-microalbuminuria: OR = 2.197 [1.403, 3.439], p = 5.82E−04 (Additional file 1: Table S3)
Back to article page

Clinical Epigenetics

ISSN: 1868-7083

Contact us