ReviewGenes2017
A Strategy for Identifying Quantitative Trait Genes Using Gene Expression Analysis and Causal Analysis.
Review in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- An Integrative Genetic Strategy for Identifying Causal Genes at Quantitative Trait Loci in Chickens.Animals : an open access journal from MDPI · 2026Review
- Article
- Identification of candidate genes responsible for innate fear behavior in the chicken.G3 (Bethesda, Md.) · 2023Article
- E96V Mutation in theInternational journal of molecular sciences · 2023Article
- Hunting for Genes Underlying Emotionality in the Laboratory Rat: Maps, Tools and Traps.Current neuropharmacology · 2023Review
- QTL Mapping for Age-Related Eye Pigmentation in the Pink-Eyed Dilution Castaneus Mutant Mouse.Genes · 2022Article
- Transcriptome profiling at osmotic and ionic phases of salt stress response in bread wheat uncovers trait-specific candidate genes.BMC plant biology · 2020Article
- Article
- Translational Metabolomics: Current Challenges and Future Opportunities.Metabolites · 2019Article
- Genetic identification of Ly75 as a novel quantitative trait gene for resistance to obesity in mice.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large numbers of quantitative trait loci (QTL) affecting complex diseases and other quantitative traits have been reported in humans and model animals. However, the genetic architecture of these traits remains elusive due to the difficulty in identifying causal quantitative trait genes (QTGs) for common QTL with relatively small phenotypic effects. A traditional strategy based on techniques such as positional cloning does not always enable identification of a single candidate gene for a QTL of interest because it is difficult to narrow down a target genomic interval of the QTL to a very small interval harboring only one gene. A combination of gene expression analysis and statistical causal analysis can greatly reduce the number of candidate genes. This integrated approach provides causal evidence that one of the candidate genes is a putative QTG for the QTL. Using this approach, I have recently succeeded in identifying a single putative QTG for resistance to obesity in mice. Here, I outline the integration approach and discuss its usefulness using my studies as an example.
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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.