Table 4 SNP-based Heritability Estimates for CKD and renal function.

From: Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

Phenotype

Cohort-Ethnicity

Study

Ncases /Ncontrols

LD Reference

Method

SNP-based Heritability (SE)

CKD

eMERGE-European

Present study

7,536/17,841

1KG-Europeans

LDSC

0.015 (0.010)

 

eMERGE-AA

Present study

702/2,029

1KG-Africans

LDSC

0.092 (0.217)

 

eMERGE-Transethnic

Present study

8,238/19,870

1KG-All

LDSC

0.044 (0.029)

CKD

CKDGen-European

Wuttke et al.

41,395/439,303

1KG-Europeans

LDSC

0.005 (0.0009)

 

CKDGen-Transethnic

Wuttke et al.

64,164/561,055

1KG-All

LDSC

0.004 (0.0008)

 

CKDGen-Transethnic

Pattaro et al.

12,385/104,780

1KG-All

LDSC

0.013 (0.004)

eGFR

CKDGen-European

Wuttke et al.

480,698

1KG-Europeans

LDSC

0.056 (0.003)

 

CKDGen-Transethnic

Wuttke et al.

765,348

1KG-All

LDSC

0.043 (0.002)

 

CKDGen-European

Pattaro et al.

133,814

1KG-Europeans

LDSC

0.081 (0.007)

 

CKDGen-AA

Pattaro et al.

16,474

1KG-Africans

LDSC

0.035 (0.045)

  1. We estimated SNP-based heritability of CKD and eGFR from the available genome-wide summary statistics using LDSC method and ancestry-matched linkage disequilibrium reference panels from 1000 Genomes Project (1KG). In addition to present study, we used GWAS summary statistics from the largest published studies of CKD and renal function, including Wuttke et al. (Nature Genetics, 2019) and Pattaro et al. (Nature Communications, 2016). The summary statistics were downloaded from the CKDGen website (https://ckdgen.imbi.uni-freiburg.de).