ReviewMammalian genome : official journal of the International Mammalian Genome Society2006
Integrated gene expression profiling and linkage analysis in the rat.
Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 21 citations in OpenAlex.
- Integrative genomic analysis of blood pressure and related phenotypes in rats.Disease models & mechanisms · 2021Article
- Genetic influences on brain gene expression in rats selected for tameness and aggression.Genetics · 2014Article
- Identification of genes influencing skeletal phenotypes in congenic P/NP rats.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2010Article
- A high-resolution association mapping panel for the dissection of complex traits in mice.Genome research · 2010Article
- Metabolic syndrome: from epidemiology to systems biology.Nature reviews. Genetics · 2008Review
- Closely linked non-additive blood pressure quantitative trait loci.Mammalian genome : official journal of the International Mammalian Genome Society · 2008Article
- Systems biology and its potential role in radiobiology.Radiation and environmental biophysics · 2008Review
- Genome-wide co-expression analysis in multiple tissues.PloS one · 2008Article
- Moving toward a system genetics view of disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2007Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
The combined application of genome-wide expression profiling from microarray experiments with genetic linkage analysis enables the mapping of expression quantitative trait loci (eQTLs) which are primary control points for gene expression across the genome. This approach allows for the dissection of primary and secondary genetic determinants of gene expression. The cis-acting eQTLs in practice are easier to investigate than the trans-regulated eQTLs because they are under simpler genetic control and are likely to be due to sequence variants within the gene itself or its neighboring regulatory elements. These genes are therefore candidates both for variation in gene expression and for contributions to whole-body phenotypes, particularly when these are located within known and relevant physiologic QTLs. Multiple trans-acting eQTLs tend to cluster to the same genetic location, implying shared regulatory control mechanisms that may be amenable to network analysis to identify gene clusters within the same metabolic pathway. Such clusters may ultimately underlie development of individual complex, whole-body phenotypes. The combined expression and linkage approach has been applied successfully in several mammalian species, including the rat which has specific features that demonstrate its value as a model for studying complex traits.
Indexed as
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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.