ArticleNephron. Clinical practice2011
Genetics of chronic kidney disease.
Article in Nephron. Clinical practice, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- UMOD as a susceptibility gene for end-stage renal disease.BMC medical genetics · 2012Pooled it
- Anti-Inflammatory Effects of Peripheral Dopamine.International journal of molecular sciences · 2023Review
- Genetic variants of interferon lambda-related genes and chronic kidney disease susceptibility in the Korean population.Kidney research and clinical practice · 2022Article
- Harnessing the Full Potential of Multi-Omic Analyses to Advance the Study and Treatment of Chronic Kidney Disease.Frontiers in nephrology · 2022Review
- Association of Serum Thyroid Hormones with the Risk and Severity of Chronic Kidney Disease Among 3563 Chinese Adults.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Genome-Wide Analysis Studies and Chronic Kidney Disease.Kidney diseases (Basel, Switzerland) · 2017Review
- Genetic Considerations in Pediatric Chronic Kidney Disease.Journal of pediatric genetics · 2016Review
- Association of coronary artery disease and chronic kidney disease in Lebanese population.International journal of clinical and experimental medicine · 2015Article
- Genetic polymorphisms of ORAI1 and chronic kidney disease in Taiwanese population.BioMed research international · 2014Article
- Genomic biomarkers for chronic kidney disease.Translational research : the journal of laboratory and clinical medicine · 2012Review
- MEIS1 and BTBD9: genetic association with restless leg syndrome in end stage renal disease.Journal of medical genetics · 2011Article
- The genetics of common kidney disease: a pathway toward clinical relevance.Nature reviews. Nephrology · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The current review collates what is already known of the genetics of chronic kidney disease (CKD), and focuses on new trends in genome-wide assessment of the inherited component of susceptibility to this condition. Early efforts to identify kidney disease susceptibility genetic loci using linkage and candidate gene strategies proved disappointing. More recently, genome-wide association studies have yielded highly promising results suggesting a number of potential candidate genes and genomic regions that may contribute to the pathogenesis of CKD. Renal failure susceptibility genes identified by these methods, such as MYH9, have yielded novel insights into the pathogenesis of CKD. Genome-wide association studies of CKD are beginning to define the genomic architecture of kidney disease and will impact our understanding of how genetic variation influences susceptibility to this condition.
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.