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• W2768955286 endingPage "347" @default.
• W2768955286 startingPage "347" @default.
• W2768955286 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." @default.
• W2768955286 created "2017-12-04" @default.
• W2768955286 creator A5029311319 @default.
• W2768955286 date "2017-11-27" @default.
• W2768955286 modified "2023-10-05" @default.
• W2768955286 title "A Strategy for Identifying Quantitative Trait Genes Using Gene Expression Analysis and Causal Analysis" @default.
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• W2768955286 doi "https://doi.org/10.3390/genes8120347" @default.
• W2768955286 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5748665" @default.
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• W2768955286 hasPublicationYear "2017" @default.
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