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Transcriptome-wide Association Study Identifies Genetically Dysregulated Genes in Diabetic Neuropathy
- Source :
- Combinatorial chemistryhigh throughput screening. 24(2)
- Publication Year :
- 2020
-
Abstract
- Background: Complications are the main cause of the disease burden of diabetes. Genes determining the development and progression of diabetic complications remain to be identified. Diabetic neuropathy is the most common and debilitating complication and mainly affects the nerves of legs and feet. In this study, we attempted to identify diabetic neuropathy-specific genes from reliable large-scale genome-wide association studies (GWASs) for diabetes perse. Methods: Taking advantage of publicly available data, we initially converted the GWAS signals to transcriptomic profiles in the tibial nerve using the functional summary-based imputation (FUSION) algorithm. The FUSION-derived genes were then checked to determine whether they were differentially expressed in the sciatic nerve of mouse models of diabetic neuropathy. The dysregulated genes identified in the sciatic nerve were explored in the blood of patients with diabetes. Results: We found that eleven out of 452 FUSION-derived genes were regulated by diabetes GWAS loci and were altered in the sciatic nerve of mouse models with early-stage neuropathy. Among the eleven genes, significant (P-value#60;0.05) expression alterations of HSD17B4, DHX32, MERTK, and SFXN4 could be detected in the blood of human patients. Conclusions: Our analyses identified genes with an effect in the sciatic nerve and provided the possibility of noninvasive early detection of diabetic neuropathy.
- Subjects :
- Diabetic neuropathy
Genome-wide association study
Bioinformatics
Transcriptome
Mice
Diabetic Neuropathies
Diabetes mellitus
Drug Discovery
medicine
Animals
Humans
Tibial nerve
business.industry
Organic Chemistry
General Medicine
MERTK
medicine.disease
Computer Science Applications
Disease Models, Animal
Diabetes Mellitus, Type 2
Expression quantitative trait loci
Sciatic nerve
business
Algorithms
Genome-Wide Association Study
Subjects
Details
- ISSN :
- 18755402
- Volume :
- 24
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Combinatorial chemistryhigh throughput screening
- Accession number :
- edsair.doi.dedup.....7ce05ef044aba1fe9cd51126ffb83195