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Article Abstract
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329172 | PMC |
| http://dx.doi.org/10.1038/s41420-021-00586-x | DOI Listing |
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Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.
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Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.
Article Synopsis
- - The study aimed to uncover new genetic factors linked to diabetic kidney disease (DKD) by combining data from previous genome-wide association studies (GWAS) and renal transcriptomics datasets involving nearly 27,000 diabetes patients.
- - Researchers identified a new genetic variant (rs72831309) in the TENM2 gene that may reduce the risk of DKD, along with ten other genes associated with the disease through meta-analysis and gene-level testing.
- - The findings indicated that certain genes exhibited altered expression patterns in kidney tissues related to DKD, suggesting their potential role in kidney health and disease management, with specific gene expressions correlating with various pathological conditions.
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