Toward precision nephrology: identification of cause-specific chronic kidney disease biomarkers through multiomics integration in Korean cohorts

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Kidney Research and Clinical Practice

• Publication date

  2025-10-02

• Fields of study

  Medicine, Environmental Science

• Identifiers
  DOI 10.23876/j.krcp.25.150PMID 41035348PMCID 12824495
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Integrated genomics and metabolomics to identify cause-specific biomarkers for chronic kidney disease in a Korean population

  2025cited by this paper
• Genome-wide association study and fine-mapping on Korean biobank to discover renal trait-associated variants

  2023cited by this paper
• Epidemiology of chronic kidney disease: an update 2022.

  2022cited by this paper
• Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals

  2020influential reference
• Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

  2020cited by this paper
• Genome-Wide Association Studies of CKD and Related Traits.

  2020cited by this paper
• The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits

  2019influential reference
• A combined epidemiologic and metabolomic approach improves CKD prediction.

  2013cited by this paper

• No citing papers are available for this paper.