ReviewKidney international2012
A systems view of genetics in chronic kidney disease.
Review in Kidney international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 51 citations in OpenAlex.
- Integrative multi-omics profiling for early diagnosis, stratification and personalized management of chronic kidney disease: a new paradigm.Clinical and experimental medicine · 2025Review
- Observational
- Effect of crocin and losartan on biochemical parameters and genes expression of FRMD3 and BMP7 in diabetic rats.Turkish journal of medical sciences · 2023Article
- National trends and projection of chronic kidney disease incidence according to etiology from 1990 to 2030 in Iran: a Bayesian age-period-cohort modeling study.Epidemiology and health · 2023Article
- Manifestation of rs1888747 polymorphisms in the FRMD3 gene in diabetic kidney disease and diabetic retinopathy in type 2 diabetes patients.Kidney research and clinical practice · 2021Article
- Dissecting the Genetic Architecture of Cystatin C in Diversity Outbred Mice.G3 (Bethesda, Md.) · 2020Article
- Epigenetic Associations With Estimated Glomerular Filtration Rate Among Men With Human Immunodeficiency Virus Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- How Omics Data Can Be Used in Nephrology.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018Review
- Chromatin Conformation Links Distal Target Genes to CKD Loci.Journal of the American Society of Nephrology : JASN · 2018Article
- Associations of genetic variants of endothelin with cardiovascular complications in patients with renal failure.BMC nephrology · 2017Article
- Renal biopsy-driven molecular target identification in glomerular disease.Pflugers Archiv : European journal of physiology · 2017Review
- Identification of urinary exosomal noncoding RNAs as novel biomarkers in chronic kidney disease.RNA (New York, N.Y.) · 2017Article
- Upregulation of Oxidative Stress Related Genes in a Chronic Kidney Disease Attributed to Specific Geographical Locations of Sri Lanka.BioMed research international · 2016Article
- Integrative Biology of Diabetic Kidney Disease.Kidney diseases (Basel, Switzerland) · 2015Article
- Research Infrastructure for Collaborative Team Science: Challenges in Technology-Supported Workflows in and Across Laboratories, Institutions, and Geographies.Seminars in nephrology · 2015Review
- Proteomic biomarkers in kidney disease: issues in development and implementation.Nature reviews. Nephrology · 2015Review
- Defining nephrotic syndrome from an integrative genomics perspective.Pediatric nephrology (Berlin, Germany) · 2015Review
- Integrative biology identifies shared transcriptional networks in CKD.Journal of the American Society of Nephrology : JASN · 2014Article
- Serum metabolomic profiling and incident CKD among African Americans.Clinical journal of the American Society of Nephrology : CJASN · 2014Article
- suPAR and Team Nephrology.BMC medicine · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
A tight interplay of genetic predisposition and environmental factors define the onset and the rate of progression of chronic renal disease. We are seeing a rapid expansion of information about genetic loci associated with kidney function and complex renal disease. However, discovering the functional links that bridge the gap from genetic risk loci to disease phenotype is one of the main challenges ahead. Risk loci are currently assigned to a putative context using the functional annotation of the closest genes via a guilt-by-proximity approach. These approaches can be extended by strategies integrating genetic risk loci with kidney-specific, genome-wide gene expression. Risk loci-associated transcripts can be assigned a putative disease-specific function using gene expression coregulation networks. Ultimately, genotype-phenotype dependencies postulated from these associative approaches in humans need to be tested via genetic modification in model organisms. In this review, we survey strategies that employ human tissue-specific expression and the use of model organisms to identify and validate the functional relationship between genotype and phenotype in renal disease. Strategies to unravel how genetic risk and environmental factors orchestrate renal disease manifestation can be the first steps toward a more integrated, holistic approach urgently needed for chronic renal diseases.
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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.