Haplotype variation in the ACE gene in global populations, with special reference to India, and an alternative model of evolution of haplotypes

Detecting SNP combinations discriminating human populations from HapMap data

The genomes of different human beings are similar. There are only a relatively small number of genetic differences between people. The genetic differences between people are very worthy of study. Researchers have proposed the fixation index FST measurement to find the single nucleotide polymorphisms (SNPs) which can reflect human population differences. However, most SNPs have interactions and they work together, which leads to the differences among human populations. The number of all possible m-locus combinations chosen from n SNPs grows exponentially. Most methods concern on 2-locus interactions. In this paper, we propose a novel method to find a new coordinate system under which the energy distributions of different populations are quite different. We select out candidate SNPs from n SNPs by using the information of the axes in the coordinate system. The number of candidate SNPs is small, thus SNP-SNP interactions can be searched efficiently. The method can also find interactions of more than two loci. These interactions should be able to reflect the evolution of human populations from another way. The numbers of SNP-SNP interactions are regarded as the differences between pairwise populations and a hierarchical clustering algorithm is used to construct the evolutionary tree. In the experiments, we apply the method to SNP data of four chromosomes separately and the trees constructed on these four chromosomes are highly consistent. Furthermore, the trees are also consistent with previous studies, which indicates that evolutionary information is well mined. The method provides a new insight to analyze the human population differences.

Non-dipping and arterial hypertension depend on clinical factors rather than on genetic variability of ACE and RGS2 genes in patients with type 1 diabetes

The aim of our study was to characterize the association of clinical and genetic risk factors such as: ACE genotype (rs17997552, rs1800764, rs4459609) and RGS2 (rs2746071) with the development of hypertension (HT) and non-dipping phenomenon in patients with type 1 diabetes mellitus (T1DM). A total of 238 adolescents and young adults with T1DM-103 females and 135 males, aged 8-30 years (mean 17.35 ± 5.2) with diabetes duration 1-26 years (mean 7.72 ± 6.2), with mean HbA1c (IFCC) 58 ± 15 mmol/mmol-were subjected to 24-h ambulatory blood pressure measurements (ABPM). The results of the ABPM were analyzed in association with the polymorphisms of ACE and RGS2 genes and clinical data of patients. HT was recognized in 65 (27 %) and non-dipping in 111 (46.63 %) patients. In the multivariate analysis of factors predisposing to HT, the variables that remained significant were the following: male sex (OR 1.62; 95 % CI 1.171-2.250), non-dipping (OR 1.40; 95 % CI 1.03-1.90) and total cholesterol level (OR 1.01; 95 % CI 1.005-1.021). The only factor influencing non-dipping was the duration of diabetes-OR 1.09 (95 % CI 1.04-1.14). The patients displaying non-dipping have a twice increased risk of development of HT (OR 2.17; 95 % CI 1.21-3.89). There was no association between disturbances of blood pressure (BP) and genotypes of ACE: rs17997552, rs1800764, rs4459609 and RGS2: rs2746071. Clinical rather than genetic risk factors seem to be connected with BP disturbances in young patients with T1DM. Although we have identified representative groups of HT versus non-HT and dipping versus non-dipping subjects, the effect of genetic predisposition to the development of higher BP is too weak to be statistically significant.