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Article

A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.

Scientific reports - 26 Apr 2024

Eoli A, Ibing S, Schurmann C, Nadkarni G N, Heyne H O, Böttinger E

Abstract excerpt

Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world's population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected 322 CKD-associated independent genetic variants from published genome-wide association studies (GWAS) and added association results for 229 traits from the GWAS...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Multifactorial Inheritance

Share to Polymorphism, Single Nucleotide

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Source

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Identifiers

PMID: 38671065
DOI: 10.1038/s41598-024-59747-4
PMCID: PMC11053134

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

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