ReviewNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2017
Genetic epidemiology in kidney disease.
Review in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genome-wide association studies suggest that APOL1-environment interactions more likely trigger kidney disease in African Americans with nondiabetic nephropathy than strong APOL1-second gene interactions.Kidney international · 2018Pooled it
- Knowledge domains and emerging trends in aldosterone and kidney disease prognosis: a bibliometric analysis.International urology and nephrology · 2026Review
- Genetic Susceptibility to Glomerulonephritis in Children: Analysis of Structural Kidney Genes and Immune System Genes.Journal of clinical medicine · 2025Article
- Genetic Determinants of Chronic Kidney Disease (CKD) in India: A Comprehensive Genomewide Association Study (GWAS) Analysis.International journal of nephrology · 2025Article
- North African fox genomes show signatures of repeated introgression and adaptation to life in deserts.Nature ecology & evolution · 2023Article
- Machine Learning Approaches for Predicting Bisphosphonate-Related Osteonecrosis in Women with Osteoporosis UsingJournal of personalized medicine · 2021Article
- Aging and End Stage Renal Disease Cause A Decrease in Absolute Circulating Lymphocyte Counts with A Shift to A Memory Profile and Diverge in Treg Population.Aging and disease · 2019Article
- Genetics, Genomics, and Precision Medicine in End-Stage Kidney Disease.Seminars in nephrology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Familial aggregation of chronic kidney disease and its component phenotypes-reduced glomerular filtration rate, proteinuria and renal histologic changes-has long been recognized. Rates of severe kidney disease are also known to differ markedly between populations based on ancestry. These epidemiologic observations support the existence of nephropathy susceptibility genes. Several molecular genetic technologies are now available to identify causative loci. The present article summarizes available strategies useful for identifying nephropathy susceptibility genes, including candidate gene association, family-based linkage, genome-wide association and admixture mapping (mapping by admixture linkage disequilibrium) approaches. Examples of loci detected using these techniques are provided. Epigenetic studies and future directions are also discussed. The identification of nephropathy susceptibility genes, coupled with modifiable environmental triggers impacting their function, is likely to improve risk prediction and transform care. Development of novel therapies to prevent progression of kidney disease will follow.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.