ArticleBMC genetics2003
Localization of genes involved in the metabolic syndrome using multivariate linkage analysis.
Article in BMC genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00049855 (Novel Approaches in Linkage Analysis for Complex Traits), which is not on this map. Cited by 4 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.
Novel Approaches in Linkage Analysis for Complex Traits
Who cites it
4 citing papers in PubMed, 19 citations in OpenAlex.
- Genetic determinants of the metabolic syndrome.Current hypertension reports · 2006Review
- Robust estimation of experimentwise P values applied to a genome scan of multiple asthma traits identifies a new region of significant linkage on chromosome 20q13.American journal of human genetics · 2005Article
- Heritabilities of the metabolic syndrome and its components in the Northern Manhattan Family Study.Diabetologia · 2005Article
- Quantitative trait locus mapping of genetic modifiers of metabolic syndrome and atherosclerosis in low-density lipoprotein receptor-deficient mice: identification of a locus for metabolic syndrome and increased atherosclerosis on chromosome 4.Arteriosclerosis, thrombosis, and vascular biology · 2005Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
There are no well accepted criteria for the diagnosis of the metabolic syndrome. However, the metabolic syndrome is identified clinically by the presence of three or more of these five variables: larger waist circumference, higher triglyceride levels, lower HDL-cholesterol concentrations, hypertension, and impaired fasting glucose. We use sets of two or three variables, which are available in the Framingham Heart Study data set, to localize genes responsible for this syndrome using multivariate quantitative linkage analysis. This analysis demonstrates the applicability of using multivariate linkage analysis and how its use increases the power to detect linkage when genes are involved in the same disease mechanism.
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Registered trials
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