Abstract Chronic Kidney Disease (CKD) represents a slowly progressive disorder that is
typically silent until late stages, but early intervention can significantly delay its progression …

Current classification of chronic kidney disease (CKD) into stages using indirect systemic
measures (estimated glomerular filtration rate (eGFR) and albuminuria) is agnostic to the …

The past few years have seen major advances in genome-wide association studies (GWAS)
of CKD and kidney function–related traits in several areas: increases in sample size from> …

Twenty-six million Americans are estimated to have chronic kidney disease (CKD) with
increased risk for cardiovascular disease and end stage renal disease. CKD is frequently …

With biomedical research transitioning into data-rich science, machine learning provides a
powerful toolkit for extracting knowledge from large-scale biological data sets. The …

Chronic kidney disease (CKD) affects~ 10% of the global population, with considerable
ethnic differences in prevalence and aetiology. We assemble genome-wide association …

Chronic kidney diseases (CKDs) are currently classified according to their clinical features,
associated comorbidities and pattern of injury on biopsy. Even within a given classification …

With increasing incidence and a prev-alence of> 10% among adults worldwide, chronic
kidney disease (CKD) represents a major public health issue. 1 CKD can lead to metabolic …

Numerous genes for monogenic kidney diseases with classical patterns of inheritance, as
well as genes for complex kidney diseases that manifest in combination with environmental …

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic
complications. Through trans-ancestry meta-analysis of genome-wide association studies of …