Literature DB >> 15820311

Identification of candidate genes in the type 2 diabetes modifier locus using expression QTL.

Hiroshi Yaguchi1, Katsuhiko Togawa, Maki Moritani, Mitsuo Itakura.   

Abstract

To identify new genetic determinants relevant to type 2 diabetes (T2D), diabetic F2 progeny were generated by intercrossing F1 mice obtained from a cross of BKS.Cg-Lepr(db)+/+m and DBA/2, and T2D-related phenotypes were measured. In the F2 population, increased susceptibility to diabetes and obesity was observed. We also detected the major quantitative trait loci (QTL) modifying the severity of diabetes on chromosome 9, where peaks of logarithm of odds (LOD) overlapped for three traits. To identify candidate genes in the QTL intervals, we combined "expression QTL" (eQTL), taking mRNA levels as quantitative traits, and "interstrain sequence variations, including cSNPs." As a result, four genes were identified from cosegregation of clinical QTL with eQTL and 13 genes were found from interstrain cSNPs as candidates in the T2D modifier QTL. Our combined approach shows the acceleration of the discovery of candidate genes in the QTL of interest, spanning several megabases.

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Year:  2005        PMID: 15820311     DOI: 10.1016/j.ygeno.2005.01.006

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  16 in total

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Journal:  EMBO J       Date:  2017-08-07       Impact factor: 11.598

Review 4.  Genomic resources for dissecting the role of non-protein coding variation in gene-environment interactions.

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Review 5.  Genetic and genomic insights into the molecular basis of atherosclerosis.

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6.  Exploiting regulatory variation to identify genes underlying quantitative resistance to the wheat stem rust pathogen Puccinia graminis f. sp. tritici in barley.

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Review 7.  From genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding.

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8.  Nicotinamide N-methyltransferase knockdown protects against diet-induced obesity.

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9.  Using transcriptome profiling to characterize QTL regions on chicken chromosome 5.

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Review 10.  Genome Editing Human Pluripotent Stem Cells to Model β-Cell Disease and Unmask Novel Genetic Modifiers.

Authors:  Matthew N George; Karla F Leavens; Paul Gadue
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-02       Impact factor: 6.055

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