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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 J+Am+Soc+Nephrol
2015 ; 26
(3
): 692-714
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gab.com Text
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Functional genomic annotation of genetic risk loci highlights inflammation and
epithelial biology networks in CKD
#MMPMID25231882
Ledo N
; Ko YA
; Park AS
; Kang HM
; Han SY
; Choi P
; Susztak K
J Am Soc Nephrol
2015[Mar]; 26
(3
): 692-714
PMID25231882
show ga
Genome-wide association studies (GWASs) have identified multiple loci associated
with the risk of CKD. Almost all risk variants are localized to the noncoding
region of the genome; therefore, the role of these variants in CKD development is
largely unknown. We hypothesized that polymorphisms alter transcription factor
binding, thereby influencing the expression of nearby genes. Here, we examined
the regulation of transcripts in the vicinity of CKD-associated polymorphisms in
control and diseased human kidney samples and used systems biology approaches to
identify potentially causal genes for prioritization. We interrogated the
expression and regulation of 226 transcripts in the vicinity of 44 single
nucleotide polymorphisms using RNA sequencing and gene expression arrays from 95
microdissected control and diseased tubule samples and 51 glomerular samples.
Gene expression analysis from 41 tubule samples served for external validation.
92 transcripts in the tubule compartment and 34 transcripts in glomeruli showed
statistically significant correlation with eGFR. Many novel genes, including
ACSM2A/2B, FAM47E, and PLXDC1, were identified. We observed that the expression
of multiple genes in the vicinity of any single CKD risk allele correlated with
renal function, potentially indicating that genetic variants influence multiple
transcripts. Network analysis of GFR-correlating transcripts highlighted two
major clusters; a positive correlation with epithelial and vascular functions and
an inverse correlation with inflammatory gene cluster. In summary, our functional
genomics analysis highlighted novel genes and critical pathways associated with
kidney function for future analysis.