Multi-Scalar Data Integration Decoding Risk Genes for Chronic Kidney Disease

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Chronic Kidney Disease (CKD) impacts over 10% of the global population and recently advancements in high-throughput analytical technologies are uncovering the complex physiology underlying this condition. Through the integration of Genome-Wide Association Studies (GWAS), RNA sequencing (RNA-seq), and single-cell RNA sequencing (scRNA-seq) summary statistics, our...

Topics

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• Genome-Wide Association Study
• Glomerular Filtration Rate
• Kidney Failure, Chronic
• Polymorphism, Single Nucleotide
• Renal Insufficiency, Chronic
• Sequence Analysis, RNA
• Single-Cell Analysis
• Transcriptome

Identifiers and source

Literature Corpus work

c77277ed-bee6-53de-bdac-12ec577ffbd5

DOI

10.21203/rs.3.rs-4123308/v1