ArticleGenetics2008
Applying gene expression, proteomics and single-nucleotide polymorphism analysis for complex trait gene identification.
Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 41 citations in OpenAlex.
- Molecular Approaches to Understand Nutritional Potential of Coarse Cereals.Current genomics · 2016Article
- Article
- Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach.Journal of experimental botany · 2013Article
- Identification of a novel polymorphism in X-linked sterol-4-alpha-carboxylate 3-dehydrogenase (Nsdhl) associated with reduced high-density lipoprotein cholesterol levels in I/LnJ mice.G3 (Bethesda, Md.) · 2013Article
- Leaf proteome alterations in the context of physiological and morphological responses to drought and heat stress in barley (Hordeum vulgare L.).Journal of experimental botany · 2013Article
- Systems genetics in "-omics" era: current and future development.Theory in biosciences = Theorie in den Biowissenschaften · 2013Review
- Genetic analysis of the Trichuris muris-induced model of colitis reveals QTL overlap and a novel gene cluster for establishing colonic inflammation.BMC genomics · 2013Article
- Using bioinformatics and systems genetics to dissect HDL-cholesterol genetics in an MRL/MpJ x SM/J intercross.Journal of lipid research · 2012Article
- Genetic basis of atherosclerosis: insights from mice and humans.Circulation research · 2012Review
- Untangling HDL quantitative trait loci on mouse chromosome 5 and identifying Scarb1 and Acads as the underlying genes.Journal of lipid research · 2010Article
- Quantitative lymphatic vessel trait analysis suggests Vcam1 as candidate modifier gene of inflammatory bowel disease.Genes and immunity · 2010Article
- Systems biology uncovers the foundation of natural genetic diversity.Plant physiology · 2010Review
- Advances in genetical genomics of plants.Current genomics · 2009Article
- Four additional mouse crosses improve the lipid QTL landscape and identify Lipg as a QTL gene.Journal of lipid research · 2009Article
- Characterization of Nob3, a major quantitative trait locus for obesity and hyperglycemia on mouse chromosome 1.Physiological genomics · 2009Article
- Metabolomics, a New Promising Technology for Toxicological Research.Toxicological research · 2009Review
- Integrating post-genomic approaches as a strategy to advance our understanding of health and disease.Genome medicine · 2009Article
- Mouse forward genetics in the study of the peripheral nervous system and human peripheral neuropathy.Neurochemical research · 2009Review
- Understanding quantitative genetics in the systems biology era.International journal of biological sciences · 2009Review
- Genetical genomics: spotlight on QTL hotspots.PLoS genetics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Previous quantitative trait locus (QTL) analysis of an intercross involving the inbred mouse strains NZB/BlNJ and SM/J revealed QTL for a variety of complex traits. Many QTL have large intervals containing hundreds of genes, and methods are needed to rapidly sort through these genes for probable candidates. We chose nine QTL: the three most significant for high-density lipoprotein (HDL) cholesterol, gallstone formation, and obesity. We searched for candidate genes using three different approaches: mRNA microarray gene expression technology to assess >45,000 transcripts, publicly available SNPs to locate genes that are not identical by descent and that contain nonsynonymous coding differences, and a mass-spectrometry-based proteomics technology to interrogate nearly 1000 proteins for differential expression in the liver of the two parental inbred strains. This systematic approach reduced the number of candidate genes within each QTL from hundreds to a manageable list. Each of the three approaches selected candidates that the other two approaches missed. For example, candidate genes such as Apoa2 and Acads had differential protein levels although the mRNA levels were similar. We conclude that all three approaches are important and that focusing on a single approach such as mRNA expression may fail to identify a QTL gene.
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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.