TY - JOUR
T1 - Genome-wide pathway analysis for diabetic nephropathy in type 1 diabetes
AU - Lee, Young Ho
AU - Song, Gwan Gyu
N1 - Publisher Copyright:
© 2015 Informa Healthcare USA, Inc. All rights reserved.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/1/2
Y1 - 2016/1/2
N2 - Objective: The aim of this study was to identify candidate single-nucleotide polymorphisms (SNPs) that might play a role in susceptibility to diabetic nephropathy (DN) in type 1 diabetes, elucidate their potential mechanisms, and generate SNP-to-gene-to-pathway hypotheses. Methods: A genome-wide association study (GWAS) dataset of DN in type 1 diabetes, which included 345,363 SNPs from a total of 1,705 samples (820 DN cases and 885 normoalbuminuric controls) of European ancestry, was used in this study. The Identify Candidate Causal SNPs and Pathways (ICSNPathway) analysis was applied to the GWAS dataset. Results: ICSNPathway analysis identified 14 candidate SNPs, 10 genes, and 19 pathways, which in turn revealed 10 hypothetical biological mechanisms. The strongest hypothetical biological mechanism was one in which rs4740 altered the role of EBI3 in various pathways and processes, including regulation of the cytokine biosynthetic process, cytokine metabolic process, positive regulation of the cytokine biosynthetic process, regulation of the interferon gamma biosynthetic process, and interferon gamma production (0.008 ≤ p < 0.001; 0.047 ≤ false discovery rate [FDR] ≤ 0.002). This next most strongly supported hypothesis was the modulation of NMUR2 by rs982715, rs4958531, 4958532, rs1895245, and rs4958535 to affect its role in various pathways and processes, including calcium-mediated signaling and peptide receptor activity, and G-protein activity (p < 0.001, 0.002; FDR = 0.005, 0.049, respectively). Conclusions: By using the ICSNPathway to analyze the DN GWAS data, we identified 14 candidate SNPs, 10 genes (including EBI3, NMUR2, and EFNA1), and 19 pathways that likely contribute to the susceptibility to DN in type 1 diabetes.
AB - Objective: The aim of this study was to identify candidate single-nucleotide polymorphisms (SNPs) that might play a role in susceptibility to diabetic nephropathy (DN) in type 1 diabetes, elucidate their potential mechanisms, and generate SNP-to-gene-to-pathway hypotheses. Methods: A genome-wide association study (GWAS) dataset of DN in type 1 diabetes, which included 345,363 SNPs from a total of 1,705 samples (820 DN cases and 885 normoalbuminuric controls) of European ancestry, was used in this study. The Identify Candidate Causal SNPs and Pathways (ICSNPathway) analysis was applied to the GWAS dataset. Results: ICSNPathway analysis identified 14 candidate SNPs, 10 genes, and 19 pathways, which in turn revealed 10 hypothetical biological mechanisms. The strongest hypothetical biological mechanism was one in which rs4740 altered the role of EBI3 in various pathways and processes, including regulation of the cytokine biosynthetic process, cytokine metabolic process, positive regulation of the cytokine biosynthetic process, regulation of the interferon gamma biosynthetic process, and interferon gamma production (0.008 ≤ p < 0.001; 0.047 ≤ false discovery rate [FDR] ≤ 0.002). This next most strongly supported hypothesis was the modulation of NMUR2 by rs982715, rs4958531, 4958532, rs1895245, and rs4958535 to affect its role in various pathways and processes, including calcium-mediated signaling and peptide receptor activity, and G-protein activity (p < 0.001, 0.002; FDR = 0.005, 0.049, respectively). Conclusions: By using the ICSNPathway to analyze the DN GWAS data, we identified 14 candidate SNPs, 10 genes (including EBI3, NMUR2, and EFNA1), and 19 pathways that likely contribute to the susceptibility to DN in type 1 diabetes.
KW - Diabetic nephropathy
KW - Genome-wide association study
KW - Pathway-based analysis
KW - Type 1 diabetes
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U2 - 10.3109/07435800.2015.1044011
DO - 10.3109/07435800.2015.1044011
M3 - Article
C2 - 26167956
AN - SCOPUS:84939533780
VL - 41
SP - 21
EP - 27
JO - Endocrine Research
JF - Endocrine Research
SN - 0743-5800
IS - 1
ER -