Table 2 High confidence SNVs driving eGFR associations and putative causal genes through which their effects on kidney function are mediated

From: Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies

Locus

SNV

p-valuea

π

Gene

Supporting evidence

ANXA9

rs267738

1.7 × 10−10

55.3%

CERS2

Encodes p.Gku115Ala (possibly damaging, deleterious)b.

CACNA1S

rs3850625

2.5 × 10−9

99.0%

CACNA1S

Encodes p.Arg1539Cys (possibly damaging, deleterious)b.

GCKR

rs1260326

2.0 × 10−35

86.1%

GCKR

Encodes p.Leu446Pro (possibly damaging, tolerated)b.

C2orf73

rs10181201

7.4 × 10−8

60.9%

SPTBN1

Intronic; differential expression across kidney cell types.

LRP2

rs35472707

1.1 × 10−6

64.3%

LRP2

Intronic; differential expression across kidney cell types.

rs60641214

5.6 × 10−8

64.9%

LRP2

Intronic; differential expression across kidney cell types.

CPS1

rs1047891

1.5 × 10−29

98.1%

CPS1

Encodes p.Thr1406Asn (benign, tolerated)b.

PRDM8-FGF5

rs12509595

4.7 × 10−16

57.1%

FGF5

Colocalises with lead eQTL SNV.

RGS14-SLC34A1

rs3812036

1.0 × 10−32

65.0%

SLC34A1

Intronic; differential expression across kidney cell types.

PIP5K1B

rs2039424

1.3 × 10−26

50.7%

PIP5K1B

Intronic; differential expression across kidney cell types.

WDR37

rs80282103

2.0 × 10−18

100.0%

LARP4B

Intronic; differential expression across kidney cell types.

MPPED2

rs7930738

4.7 × 10−7

51.5%

MPPED2

Intronic; differential expression across kidney cell types.

UMOD-PDILT

rs77924615

1.5 × 10−54

100.0%

UMOD

Lead eQTL SNV; differential expression across kidney cell types.

GP2

Lead eQTL SNV; differential expression across kidney cell types.

DPEP1

rs2460449

4.2 × 10−9

97.8%

DPEP1

Intronic; differential expression across kidney cell types.

BCAS3

rs9895611

8.9 × 10−28

100.0%

BCAS3

Intronic; differential expression across kidney cell types.

 

rs887258

2.7 × 0−13

62.2%

TBX2

Colocalises with lead eQTL SNV.

  1. π posterior probability of association
  2. ap-values obtained from fixed-effects meta-analysis
  3. bPolyPhen2/SIFT predictions