19 research outputs found

    Identification of physicochemical selective pressure on protein encoding nucleotide sequences

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    BACKGROUND: Statistical methods for identifying positively selected sites in protein coding regions are one of the most commonly used tools in evolutionary bioinformatics. However, they have been limited by not taking the physiochemical properties of amino acids into account. RESULTS: We develop a new codon-based likelihood model for detecting site-specific selection pressures acting on specific physicochemical properties. Nonsynonymous substitutions are divided into substitutions that differ with respect to the physicochemical properties of interest, and those that do not. The substitution rates of these two types of changes, relative to the synonymous substitution rate, are then described by two parameters, γ and ω respectively. The new model allows us to perform likelihood ratio tests for positive selection acting on specific physicochemical properties of interest. The new method is first used to analyze simulated data and is shown to have good power and accuracy in detecting physicochemical selective pressure. We then re-analyze data from the class-I alleles of the human Major Histocompatibility Complex (MHC) and from the abalone sperm lysine. CONCLUSION: Our new method allows a more flexible framework to identify selection pressure on particular physicochemical properties

    Identification of physicochemical selective pressure on protein encoding nucleotide sequences-3

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    <p><b>Copyright information:</b></p><p>Taken from "Identification of physicochemical selective pressure on protein encoding nucleotide sequences"</p><p>BMC Bioinformatics 2006;7():148-148.</p><p>Published online 16 Mar 2006</p><p>PMCID:PMC1431568.</p><p>Copyright © 2006 Wong et al; licensee BioMed Central Ltd.</p>ge and hydrophobicity partitions. Sites that are green (69, 129) are from the hydrophobicity partition only. Sites that are red (30,33,63,64,71,75,79,80,81,99,113,116,121,124,127) are from the charge partition only. Finally, the site that is hot pink (43) is from the polarity partition only

    Identification of physicochemical selective pressure on protein encoding nucleotide sequences-1

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    <p><b>Copyright information:</b></p><p>Taken from "Identification of physicochemical selective pressure on protein encoding nucleotide sequences"</p><p>BMC Bioinformatics 2006;7():148-148.</p><p>Published online 16 Mar 2006</p><p>PMCID:PMC1431568.</p><p>Copyright © 2006 Wong et al; licensee BioMed Central Ltd.</p>n

    A Child’s HLA-DRB1 genotype increases maternal risk of systemic lupus erythematosus

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    Systemic lupus erythematosus (SLE) disproportionately affects women of reproductive age. During pregnancy, women are exposed to various sources of fetal material possibly constituting a significant immunologic exposure relevant to the development of SLE. The objective of this study was to investigate whether having any children who carry DRB1 alleles associated with SLE increase the risk of maternal SLE. This case-control study is based on the University of California, San Francisco Mother-Child Immunogenetic Study and from studies at the Inova Translational Medicine Institute. Analyses were conducted using data for 1304 mothers (219 cases/1085 controls) and their respective 1664 children. We selected alleles based on their known association with risk of SLE (DRB1*03:01, *15:01, or *08:01) or Epstein-Barr virus (EBV) glycoproteins (*04:01) due to the established EBV association with SLE risk. We used logistic regression models to estimate odds ratios (OR) and 95% confidence intervals (CI) for each allele of interest, taking into account maternal genotype and number of live births. We found an increase in risk of maternal SLE associated with exposure to children who inherited DRB1*04:01 from their father (OR 1.9; 95% CI, 1.1-3.2), among *04:01 allele-negative mothers. Increased risk was only present among mothers who were positive for one or more SLE risk-associated alleles (*03:01, *15:01 and/or *08:01). We did not find increased risk of maternal SLE associated with any other tested allele. These findings support the hypothesis that a child's alleles inherited from the father influence a mother's subsequent risk of SLE
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