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. 2022 Dec 22;13:7891. doi: 10.1038/s41467-022-34963-6

Table 2.

Differentially methylated CpGs from the three meta-analysis models and associations from prospective analyses, CRIC study and eFORGE-TF database

CpG Site Gene Minimal model (p) Minimal + Smoking model (p) Maximal model (p) Progression to kidney failure (p) DKD CRIC cohort (p) eFORGE-TF (p)
cg19693031 TXNIP 6.75 × 10−7 8.80 × 10−8 6.17 × 10−7 6.22 × 10−14 (HbA1c)
cg05284887 GJA5 3.35 × 10−9 2.60 × 10−7 1.42 × 10−5 3.93 × 10−5
cg21961721 SLC27A3 2.34 × 10−14 5.57 × 10−11 2.75 × 10−10 1.72 × 10−4 <2.2 × 10−308 (eGFR)
cg08150816 NME7 8.23 × 10−15 3.71 × 10−13 4.62 × 10−10 7.16 × 10−5
cg01895164 PAFAH2, EXTL1 9.06 × 10−12 1.79 × 10−8 7.79 × 10−6 1.08 × 10−6
cg23527387 REV1 4.12 × 10−11 2.80 × 10−8 2.26 × 10−3 5.19 × 10−3
cg02841972 GRHL1, KLF11 1.35 × 10−8 4.65 × 10−8 1.53 × 10−6
cg05710777 LINC01800 2.95 × 10−18 4.05 × 10−15 1.98 × 10−11 9.78 × 10−4 3.58 × 10−6
cg12864625 MBNL1 1.16 × 10−10 1.62 × 10−7 9.98 × 10−6
cg18376497 INPP4B 1.78 × 10−10 3.15 × 10−9 1.56 × 10−6 3.81 × 10−4 0.005 (eGFR)
cg05165263 IRF2 9.87 × 10−8 3.64 × 10−6 8.18 × 10−5 1.04 × 10−3 6.62 × 10−5 (eGFR) 5.42 × 10−6
cg12378834 C5orf66 4.04 × 10−10 3.06 × 10−7 2.43 × 10−4
cg11414254 ZNF346, UIMC1 4.02 × 10−8 2.34 × 10−6 3.63 × 10−4
cg19996939 HBS1L, MYB 3.40 × 10−8 2.16 × 10−8 2.84 × 10−6 2.91 × 10−6
cg02917536 TAB2 9.28 × 10−8 9.77 × 10−7 2.73 × 10−4 0.018 (eGFR)
cg03546163 FKBP5 3.63 × 10−13 8.90 × 10−10 1.77 × 10−4 0.003 (HbA1c)
cg00008629 PTBP3 5.41 × 10−15 1.17 × 10−12 2.90 × 10−9
cg15167811 PTBP3 3.03 × 10−11 2.93 × 10−9 6.84 × 10−7
cg13125822 GRK5 4.93 × 10−10 1.64 × 10−8 1.89 × 10−6
cg03026982 NAV2 1.43 × 10−9 3.20 × 10−7 5.30 × 10−5
cg10473623 NAV2 1.63 × 10−8 1.85 × 10−6 2.31 × 10−4
cg05325763 CPT1A 2.08 × 10−11 4.83 × 10−9 1.93 × 10−7
cg17058475 CPT1A 5.90 × 10−8 1.07 × 10−6 2.68 × 10−5 0.009 (ALB) 9.52 × 10−6
cg08230697 STAB2 1.82 × 10−8 1.23 × 10−6 5.19 × 10−5
cg10072464 ADPRHL1 9.09 × 10−10 3.02 × 10−7 4.96 × 10−7 1.04 × 10−3 0.002 (eGFR) 2.44 × 10−7
cg24382141 PSKH1 3.44 × 10−8 1.01 × 10−5 1.46 × 10−3 0.002 (eGFR)
cg22815707 ANKRD12 1.16 × 10−9 1.70 × 10−8 4.82 × 10−6 6.31 × 10−6
cg25544931 ZNF763, ZNF433-AS1 2.58 × 10−27 1.85 × 10−21 7.90 × 10−19 4.01 × 10−6 2.09 × 10−5 (eGFR)
cg17944885 ZNF788P, ZNF625-ZNF20 1.97 × 10−44 1.38 × 10−36 8.91 × 10−27 1.40 × 10−21 3.72 × 10−13 (eGFR)
cg06587767 PIP5K1C 2.08 × 10−9 9.47 × 10−7 2.98 × 10−4
cg02711608 SLC1A5 8.89 × 10−12 2.62 × 10−9 4.77 × 10−8
cg12230203 PTGIS, B4GALT5 7.79 × 10−8 1.25 × 10−6 5.20 × 10−6 6.63 × 10−6

The CpG methylations included met the EWAS significance threshold (corrected p ≤ 9.9 × 10−8) in one of the three meta-analysis adjustment models. P-values in the meta-analysis were derived from hierarchal linear models including the covariates age, sex and six WCCs (minimal model), or age, sex, six WCCs and current smoking status (Minimal + smoking model) or age, sex, six WCCs, current smoking status, HbA1c, HDL cholesterol, triglycerides, duration of diabetes and body mass index (Maximal model). For intergenic CpGs, the two closest downstream and upstream genes are given. Empty cells did not have supporting evidence (p < 1 × 10−5) for transcription factors using eFORGE-TF. Empty cells also indicate that no evidence achieved at least p ≤ 0.05 from the CRIC database lookup. The phenotype with lowest p-value shown for the CRIC cohort, which include individuals with any type of diabetes.

Abbreviations

CRIC Chronic Renal Insufficiency Cohort Study, eGFR estimated glomerular filtration rate, ALB Albuminuria, HbA1c Haemoglobin A1c, T2D type 2 diabetes, TF transcription factor.