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      Genetic Diversity and Balancing Selection within the Human Phenylalanine Hydroxylase (PAH) Gene Region in Iranian Population

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          Abstract

          Background:

          Genetic diversity of three polymorphic markers in the phenylalanine hydroxylase (PAH) gene region including PvuII (a), PAHSTR and MspI were investigated.

          Methods:

          Unrelated individuals (n=139) from the Iranian populations were genotyped using primers specific to PAH gene markers including PvuII(a), MspI and PAHSTR. The amplified products for PvuII(a), MspI were digested using the appropriate restriction enzymes and separated on 1.5% agarose. The PAHSTR alleles were identified using polyacrylamide gel electrophoresis followed by silver staining. The exact size of the STR alleles was determined by sequencing. The allele frequency and population status of the alleles were estimated using PHASE, FBAT and GENEPOP software.

          Results:

          The estimated degree of heterozygosity for PAHSTR, MspI and PvuII (a) was 66%, 56% and 58%, respectively. The haplotype estimation analysis of the markers resulted in nine informative haplotypes with frequencies ≥5%. Moreover, the results obtained from Ewens-Watterson test for neutrality suggested that the markers were under balancing selection in the Iranian population.

          Conclusion:

          These findings suggested the presence of genetic diversity at these three markers in the PAH gene region. Therefore, the markers could be considered as functional markers for linkage analysis of the PAH gene mutations in the Iranian families with the PKU disease.

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          Most cited references41

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          The hitch-hiking effect of a favourable gene.

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            Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population.

            Molecular techniques allow the survey of a large number of linked polymorphic loci in random samples from diploid populations. However, the gametic phase of haplotypes is usually unknown when diploid individuals are heterozygous at more than one locus. To overcome this difficulty, we implement an expectation-maximization (EM) algorithm leading to maximum-likelihood estimates of molecular haplotype frequencies under the assumption of Hardy-Weinberg proportions. The performance of the algorithm is evaluated for simulated data representing both DNA sequences and highly polymorphic loci with different levels of recombination. As expected, the EM algorithm is found to perform best for large samples, regardless of recombination rates among loci. To ensure finding the global maximum likelihood estimate, the EM algorithm should be started from several initial conditions. The present approach appears to be useful for the analysis of nuclear DNA sequences or highly variable loci. Although the algorithm, in principle, can accommodate an arbitrary number of loci, there are practical limitations because the computing time grows exponentially with the number of polymorphic loci. Although the algorithm, in principle, can accommodate an arbitrary number of loci, there are practical limitations because the computing time grows exponentially with the number of polymorphic loci.
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              Statistical tests of selective neutrality in the age of genomics.

              R Nielsen (2001)
              Examining genomic data for traces of selection provides a powerful tool for identifying genomic regions of functional importance. Many methods for identifying such regions have focused on conserved sites. However, positive selection may also be an indication of functional importance. This article provides a brief review of some of the statistical methods used to detect selection using DNA sequence data or other molecular data. Statistical tests based on allelic distributions or levels of variability often depend on strong assumptions regarding population demographics. In contrast, tests based on comparisons of the level of variability in nonsynonymous and synonymous sites can be constructed without demographic assumptions. Such tests appear to be useful for identifying specific regions or specific sites targeted by selection.
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                Author and article information

                Journal
                Iran J Public Health
                Iran. J. Public Health
                IJPH
                Iranian Journal of Public Health
                Tehran University of Medical Sciences
                2251-6085
                2251-6093
                31 May 2012
                2012
                : 41
                : 5
                : 97-104
                Affiliations
                [1. ]Division of Genetics, Dept. of Biology, Faculty of Sciences, University of Isfahan, Isfahan, Iran
                [2. ]Dept. of Molecular Genetics, Faculty of Basic Sciences, Tarbiat Modares University, Tehran, Iran
                Author notes
                [* ]Corresponding Author: Tel: +983117932456, E-mail address: sadeqvallian@ 123456gmail.com
                Article
                ijph-41-97
                3468980
                23113183
                f7986975-af3a-4cad-8c08-4ead27f1ef73
                Copyright © Iranian Public Health Association & Tehran University of Medical Sciences

                This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial 3.0 License (CC BY-NC 3.0), which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.

                History
                : 19 September 2011
                : 12 February 2012
                Categories
                Original Article

                Public health
                iran,genetic diversity,phenylalanine hydroxylase (pah),phenylketonuria (pku)
                Public health
                iran, genetic diversity, phenylalanine hydroxylase (pah), phenylketonuria (pku)

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