We carried out a multistage genome-wide association study of type 2 diabetes mellitus in Japanese individuals, with a total of 1,612 cases and 1,424 controls and 100,000 SNPs. The most significant association was obtained with SNPs in KCNQ1, and dense mapping within the gene revealed that rs2237892 in intron 15 showed the lowest Pvalue (6.7 x 10(-13), odds ratio (OR) = 1.49). The association of KCNQ1 with type 2 diabetes was replicated in populations of Korean, Chinese and European ancestry as well as in two independent Japanese populations, and meta-analysis with a total of 19,930 individuals (9,569 cases and 10,361 controls) yielded a P value of 1.7 x 10(-42) (OR = 1.40; 95% CI = 1.34-1.47) for rs2237892. Among control subjects, the risk allele of this polymorphism was associated with impairment of insulin secretion according to the homeostasis model assessment of beta-cell function or the corrected insulin response. Our data thus implicate KCNQ1 as a diabetes susceptibility gene in groups of different ancestries.

The allele frequencies for a Pro 12 3 Ala substitution in peroxisome proliferator-activated receptor-␥ differ among ethnic groups, and its relationship with diabetes and associated diseases is controversial. The prevalence of this polymorphism and its effects on clinical characteristics have now been evaluated with a large number of Japanese individuals with type 2 diabetes (n ‫؍‬ 2,201) and normal control subjects (n ‫؍‬ 1,212) recruited by 10 institutions located in seven different cities in Japan. The allele frequency for the Ala 12 variant was significantly lower in the type 2 diabetic group than in the control group (2.39 vs. 4.13%, P ‫؍‬ 0.000054). However, compared with subjects without the Ala 12 variant, the diabetic subjects with this variant exhibited a significantly higher serum concentration of total cholesterol (P ‫؍‬ 0.001), manifested a reduced capacity for insulin secretion as evaluated by homeostasis model assessment (P ‫؍‬ 0.007), and tended to possess a higher level of HbA 1c . These data suggest that the Ala 12 variant is associated with a reduced risk for the development of diabetes in the general population, but that it may be also a risk factor for insulin deficiency and disease severity in individuals with type 2 diabetes. Diabetes 50:891-894, 2001

Prediction of the disease status is one of the most important objectives of genetic studies. To select the genes with strong evidence of the association with type 2 diabetes mellitus, we validated the associations of the seven candidate loci extracted in our earlier study by genotyping the samples in two independent sample panels. However, except for KCNQ1, the association of none of the remaining seven loci was replicated. We then selected 11 genes, KCNQ1, TCF7L2, CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, HHEX, GCKR, HNF1B, KCNJ11 and PPARG, whose associations with diabetes have already been reported and replicated either in the literature or in this study in the Japanese population. As no evidence of the gene-gene interaction for any pair of the 11 loci was shown, we constructed a prediction model for the disease using the logistic regression analysis by incorporating the number of the risk alleles for the 11 genes, as well as age, sex and body mass index as independent variables. Cumulative risk assessment showed that the addition of one risk allele resulted in an average increase in the odds for the disease of 1.29 (95% CI¼1.25-1.33, P¼5.4Â10 À53 ). The area under the receiver operating characteristic curve, an estimate of the power of the prediction model, was 0.72, thereby indicating that our prediction model for type 2 diabetes may not be so useful but has some value. Incorporation of data from additional risk loci is most likely to increase the predictive power.

Complementary and alternative medicine (CAM) may provide patients with an alternative to traditional medicine, but an assessment of its efficacy is required. One CAM method, electroacupuncture (EA) treatment, is a maneuver that utilizes stimulation of acupuncture needles with a low-frequency microcurrent. To study the effect of short-term EA, we evaluated the differential expression of genes induced by EA in mouse skeletal muscle for up to 24 h. We then used RT-PCR to confirm the expression patterns of six differentially expressed genes. Bioinformatics analysis of their transcription control regions showed that EA-inducible genes have numerous common binding motifs that are related to cell differentiation, cell proliferation, muscle repair, and hyperplasia. These results suggested that EA treatment may induce cell proliferation in skeletal muscle. To verify this possibility, we used EA to stimulate mouse skeletal muscle daily for up to 1 mo and examined the long-term effects. Immunohistochemical analysis showed that nuclei of muscle cells treated with EA for 1 mo, especially nuclei of satellite cells, reacted with anti-human PCNA. Also, expression of the gene encoding myostatin, which is a growth repressor in muscle satellite cells, was suppressed by daily EA treatment for 1 wk; EA treatment for 1 mo resulted in more marked suppression of the gene. These molecular findings constitute strong evidence that EA treatment suppresses myostatin expression, which leads to a satellite cell-related proliferative reaction and repair in skeletal muscle.

Both the A-->C polymorphism and the Met229-->Leu polymorphism of UCP1 are in linkage disequilibrium and could be one of the diabetes associated single nucleotide polymorphisms (SNPs).