Copy number variation at leptin receptor gene locus associated with metabolic traits and the risk of type 2 diabetes mellitus.

BACKGROUND: Recent efforts have been made to link complex human traits and disease susceptibility to DNA copy numbers. The leptin receptor (LEPR) has been implicated in obesity and diabetes. Mutations and genetic variations of LEPR gene have been discovered in rodents and humans. However, the association of DNA copy number variations at the LEPR gene locus with human complex diseases has not been reported. In an attempt to study DNA copy number variations associated with metabolic traits and type 2 diabetes mellitus (T2DM), we targeted the LEPR gene locus in DNA copy number analyses. RESULTS: We identified DNA copy number variations at the LEPR gene locus among a Korean population using genome-wide SNP chip data, and then quantified copy numbers of the E2 DNA sequence in the first two exons overlapped between LEPR and LEPROT genes by the quantitative multiplex PCR of short fluorescent fragment (QMPSF) method. Among the non-diabetic subjects (n = 1,067), lower E2 DNA copy numbers were associated with higher fasting glucose levels in men (p = 1.24 x 10(-7)) and women (p = 9.45 x 10(-5)), as well as higher total cholesterol levels in men (p = 9.96 x 10(-7)). In addition, the significant association between lower E2 DNA copy numbers and lower level of postprandial 2 hr insulin was evident only in non-diabetic women, whereas some obesity-related phenotypes and total cholesterol level exhibited significant associations only in non-diabetic men. Logistic regression analysis indicated that lower E2 DNA copy numbers were associated with T2DM (odds ratio, 1.92; 95% CI, 1.26-2.96; p < 0.003) in our nested case-control study. Interestingly, the E2 DNA copy number exhibited a negative correlation with LEPR gene expression, but a positive correlation with LEPROT gene expression. CONCLUSIONS: This work suggests that a structural variation at the LEPR gene locus is functionally associated with complex metabolic traits and the risk of T2DM.

Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases.

We define phosphovariants as genetic variations that change phosphorylation sites or their interacting kinases. Considering the essential role of phosphorylation in protein functions, it is highly likely that phosphovariants change protein functions. Therefore, a comparison of phosphovariants between individuals or between species can give clues about phenotypic differences. We categorized phosphovariants into three subtypes and developed a system that predicts them. Our method can be used to screen important polymorphisms and help to identify the mechanisms of genetic diseases.

Gene-based single nucleotide polymorphisms and linkage disequilibrium patterns of 29 asthma candidate genes in the chromosome 5q31-33 region in Koreans.

BACKGROUND AND METHODS: Numerous genetic studies have mapped asthma susceptibility genes to a region on chromosome 5q31-33 in several populations. This region contains a cluster of cytokines and other immune-related genes important in immune response. In the present study, to determine the genetic variations and patterns of linkage disequilibrium (LD), we resequenced all the exons and promoter regions of the 29 asthma candidate genes in the chromosome 5q31-33 region. RESULTS: We identified a total of 314 genetic variants, including 289 single nucleotide polymorphisms (SNPs), 22 insertion/deletion polymorphisms and 3 microsatellites. Standardized variance data for allele frequency revealed substantial differences in SNP allele frequencies among different ethnic groups. Interestingly, significant ethnic differences were observed mainly in intron SNPs. LD block analysis using 174 common SNPs with a frequency of >10% disclosed strong LD within most candidate genes. No significant LD was observed across genes, except for one LD block (CD14-IK block). Gene-based haplotype analyses showed that 1-5 haplotype-tagging SNPs may be used to define the six or fewer common haplotypes with a frequency of >5%, regardless of the number of SNPs. CONCLUSION: Overall, our results provide useful information for the identification of immune-mediated disease genes in the chromosome 5q31-33 region, as well as valuable evidence for gene-based haplotype analysis in disease association studies.

Characterization of 458 single nucleotide polymorphisms of disease candidate genes in the Korean population.

Single nucleotide polymorphisms (SNPs) are considered as very promising genetic markers for complex disease gene hunting. However, it has been demonstrated that there are significant ethnic differences in genetic variations. In order to investigate the genetic variations in the Korean population and their ethnic differences, a large number of SNPs of 161 disease candidate genes were collected from a publicly available SNP database and then tested for the distribution of allele frequency in the Korean population. Of all 458 SNPs tested, approximately 43.9% were polymorphic in the Korean population, whereas 44.5% were monomorphic. The remaining 11.6% were failed in the test. Significant differences have been observed when SNP allele frequency pattern of Koreans was compared with those of Caucasians and Africans, whereas this pattern was highly similar between Korean and Japanese populations. Our data indicate that although many of the SNPs available in publicly available database, especially coding-region SNPs (cSNPs), can be used as informative genetic markers for disease association studies, an extensive verification of public SNPs in a particular population studied should be undertaken prior to their association studies.