ArticleSeminars in nephrology2010
Mexican-American admixture mapping analyses for diabetic nephropathy in type 2 diabetes mellitus.
Article in Seminars in nephrology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Genetic comparison of sickle cell anaemia cohorts from Brazil and the United States reveals high levels of divergence.Scientific reports · 2019Article
- Prevalence and Management of Diabetic Nephropathy in Western Countries.Kidney diseases (Basel, Switzerland) · 2015Review
- Comprehensive approach to diabetic nephropathy.Kidney research and clinical practice · 2014Review
- Admixture mapping analysis in the context of GWAS with GAW18 data.BMC proceedings · 2014Article
- Susceptibility gene search for nephropathy and related traits in Mexican-Americans.Molecular biology reports · 2013Review
- New approaches to disease mapping in admixed populations.Nature reviews. Genetics · 2011Review
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
Diabetic nephropathy is a classic complex trait, whose development in a given individual reflects contributions from multiple genes and whose expression is modulated by environmental factors. Numerous genetic strategies have been used to identify common disease risk loci and genes, including candidate gene analyses, linkage analysis, transmission disequilibrium testing (a family based association test to identify linkage between a genetic marker and a biological trait or disease), and admixture mapping (also referred to as mapping by admixture linkage disequilibrium). Choosing the best genetic strategy to identify susceptibility genes in a disease is dependent on knowing whether the disorder is monogenic (the result of one gene), oligogenic (the result of a few genes), or polygenic (the result of many genes). The likelihood of finding risk loci for a disease with a putative genetic contribution is in part owing to the disease recurrence risk ratio (the risk of expressing the disease phenotype in siblings of the proband divided by the risk observed in the general population), the genotypic risk ratio (the risk of expressing the phenotype if the gene is present divided by the risk if the gene is not present), the number of susceptibility genes, how the susceptibility genes interact, how much of the disease risk is contributed by environmental factors, and the disease penetrance (the likelihood that the phenotype will be expressed if the gene is present).
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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.