ReviewNature reviews. Nephrology2011
The genetics of common kidney disease: a pathway toward clinical relevance.
Review in Nature reviews. Nephrology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Integration of artificial intelligence and multi-omics in kidney diseases.Fundamental research · 2023Review
- 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
- Integrative Biology of Diabetic Kidney Disease.Kidney diseases (Basel, Switzerland) · 2015Article
- Inhibition of the purinergic P2X7 receptor improves renal perfusion in angiotensin-II-infused rats.Kidney international · 2015Article
- Hypertension and kidneys: unraveling complex molecular mechanisms underlying hypertensive renal damage.Journal of human hypertension · 2014Review
- Article
- Developments in renal pharmacogenomics and applications in chronic kidney disease.Pharmacogenomics and personalized medicine · 2014Review
- Non-muscle myosins and the podocyte.Clinical kidney journal · 2012Article
- Genetic risk prediction for CKD: a journey of a thousand miles.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2012Article
- Circulating, imaging, and genetic biomarkers in cardiovascular risk prediction.Trends in cardiovascular medicine · 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.
Funding
Abstract
Genome-wide association studies (GWASs) have advanced our understanding of the genetic basis for common renal diseases, including chronic kidney disease (CKD) and related traits such as hypertension. The 'common variant, common disease' hypothesis-the theoretical basis for gene mapping by GWASs-has, however, underestimated the complexity of the genetic architecture underlying these diseases. The disease-specific variants identified by GWASs, despite being supported by statistically robust associations, often fail to illuminate the biology underlying the association and explain only a small portion of the estimated heritability of these diseases, even in aggregate. Although these variants have highlighted novel pathways that can be targeted therapeutically, their small effect sizes have minimal effects on diagnosis, prognosis, and management of individual patients. At present, therefore, the data do not support the routine use of genetic testing in the management of patients with CKD. Advances in technology, such as massively parallel gene sequencing, and characterization of alternative modes of inheritance should further elucidate the genetic architecture of CKD and provide tools to improve patient care.
Indexed as
Identifiers
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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.