2006
DOI: 10.1007/s00125-005-0131-1
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Diabetes quantitative trait locus research: from physiology to genetics and back

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Cited by 2 publications
(4 citation statements)
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“…This may be partly due to the lack of availability of appropriate patients and their relatives, and also because of difficulties in correctly ascertaining the phenotype, which may require radiological investigations and 24‐h urine collections. Such studies are likely to be highly worthwhile, as has been illustrated by the identification of polygenic loci causing other complex diseases, such as diabetes mellitus, obesity, hypertension, and the metabolic syndrome 19–22 . Indeed, such quantitative trait loci (QTLs) contributing to hypercalciuric nephrolithiasis have been identified by investigations of a genetic hypercalciuric stone‐forming (GHS) rat model 23 …”
Section: Genetic Epidemiologymentioning
confidence: 99%
See 1 more Smart Citation
“…This may be partly due to the lack of availability of appropriate patients and their relatives, and also because of difficulties in correctly ascertaining the phenotype, which may require radiological investigations and 24‐h urine collections. Such studies are likely to be highly worthwhile, as has been illustrated by the identification of polygenic loci causing other complex diseases, such as diabetes mellitus, obesity, hypertension, and the metabolic syndrome 19–22 . Indeed, such quantitative trait loci (QTLs) contributing to hypercalciuric nephrolithiasis have been identified by investigations of a genetic hypercalciuric stone‐forming (GHS) rat model 23 …”
Section: Genetic Epidemiologymentioning
confidence: 99%
“…Such studies are likely to be highly worthwhile, as has been illustrated by the identification of polygenic loci causing other complex diseases, such as diabetes mellitus, obesity, hypertension, and the metabolic syndrome. [19][20][21][22] Indeed, such quantitative trait loci (QTLs) contributing to hypercalciuric nephrolithiasis have been identified by investigations of a genetic hypercalciuric stone-forming (GHS) rat model. 23…”
Section: Genetic Epidemiologymentioning
confidence: 99%
“…As a result, we mapped highly significant QTLs that control diabetogenic traits and obesity on chromosome (Chr) 2 (21). These QTLs on Chr 2 controlled glucose tolerance, free-fed blood glucose concentration, and body mass index (BMI) (12,21). This locus was designated T2dm2sa, for type 2 diabetes mellitus 2 in SMXA RI strains, and the A/J allele at this locus was diabetogenic.…”
mentioning
confidence: 94%
“…Each SMXA RI strain has a mosaic genome composed of chromosomal fragments from SM/J and A/J strains (12). Although the parental strains are nondiabetic, the SMXA-5 mouse develops impaired glucose tolerance and hyperinsulinemia (3,19).…”
mentioning
confidence: 99%