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1.
Biol. Res ; 50: 3, 2017. tab, graf
Article in English | LILACS | ID: biblio-838974

ABSTRACT

Direct tests of the random or non-random distribution of nucleotides on genomes have been devised to test the hypothesis of neutral, nearly-neutral or selective evolution. These tests are based on the direct base distribution and are independent of the functional (coding or non-coding) or structural (repeated or unique sequences) properties of the DNA. The first approach described the longitudinal distribution of bases in tandem repeats under the Bose-Einstein statistics. A huge deviation from randomness was found. A second approach was the study of the base distribution within dinucleotides whose bases were separated by 0, 1, 2... K nucleotides. Again an enormous difference from the random distribution was found with significances out of tables and programs. These test values were periodical and included the 16 dinucleotides. For example a high ¨positive¨ (more observed than expected dinucleotides) value, found in dinucleotides whose bases were separated by (3K + 2) sites, was preceded by two smaller ¨negative¨ (less observed than expected dinucleotides) values, whose bases were separated by (3K) or (3K + 1) sites. We examined mtDNAs, prokaryote genomes and some eukaryote chromosomes and found that the significant non-random interactions and periodicities were present up to 1000 or more sites of base separation and in human chromosome 21 until separations of more than 10 millions sites. Each nucleotide has its own significant value of its distance to neutrality; this yields 16 hierarchical significances. A three dimensional table with the number of sites of separation between the bases and the 16 significances (the third dimension is the dinucleotide, individual or taxon involved) gives directly an evolutionary state of the analyzed genome that can be used to obtain phylogenies. An example is provided.


Subject(s)
Humans , Animals , Phylogeny , Base Sequence/genetics , Genome , Sequence Analysis, DNA/methods , Nucleotides/genetics , Periodicity , Prokaryotic Cells/chemistry , Reference Values , Algorithms , DNA, Mitochondrial/genetics , Chi-Square Distribution , Collagen/genetics , HIV-1/genetics , Evolution, Molecular , Tandem Repeat Sequences , Chromosome Structures , Genetic Drift , Drosophila melanogaster/genetics , Epistasis, Genetic/genetics , Nucleotides/chemistry
2.
Indian J Hum Genet ; 2012 Jan; 18(1): 56-61
Article in English | IMSEAR | ID: sea-139443

ABSTRACT

BACKGROUND: Idiopathic pulmonary arterial hypertension (IPAH) is a poorly understood complex disorder, which results in progressive remodeling of the pulmonary artery that ultimately leads to right ventricular failure. A two-hit hypothesis has been implicated in pathogenesis of IPAH, according to which the vascular abnormalities characteristic of PAH are triggered by the accumulation of genetic and/or environmental insults in an already existing genetic background. The multifactor dimensionality reduction (MDR) analysis is a statistical method used to identify gene–gene interaction or epistasis and gene–environment interactions that are associated with a particular disease. The MDR method collapses high-dimensional genetic data into a single dimension, thus permitting interactions to be detected in relatively small sample sizes. AIM: To identify and characterize polymorphisms/genes that increases the susceptibility to IPAH using MDR analysis. MATERIALS AND METHODS: A total of 77 IPAH patients and 100 controls were genotyped for eight polymorphisms of five genes (5HTT, EDN1, NOS3, ALK-1, and PPAR-γ2). MDR method was adopted to determine gene–gene interactions that increase the risk of IPAH. RESULTS: With MDR method, the single-locus model of 5HTT (L/S) polymorphism and the combination of 5HTT(L/S), EDN1(K198N), and NOS3(G894T) polymorphisms in the three-locus model were attributed to be the best models for predicting susceptibility to IPAH, with a P value of 0.05. CONCLUSION: MDR method can be useful in understanding the role of epistatic and gene–environmental interactions in pathogenesis of IPAH.


Subject(s)
Adult , Epistasis, Genetic/genetics , Female , Genetic Variation , Genotype/classification , Humans , Hypertension, Pulmonary/genetics , India/epidemiology , Male , Multifactor Dimensionality Reduction/methods , Multifactor Dimensionality Reduction/statistics & numerical data , Polymorphism, Genetic/genetics
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