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Related Concept Videos

X-linked Traits01:19

X-linked Traits

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In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.
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X-linked Traits01:19

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Sex-linked Disorders01:43

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Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
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Selection and mutation in X-linked recessive diseases epidemiological model.

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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
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    Summary

    This study models X-linked recessive diseases, incorporating new mutations and varying fitness rates. The mathematical model analyzes disease spread and survival dynamics in populations.

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    Area of Science:

    • Genetics and Population Dynamics
    • Mathematical Biology

    Background:

    • X-linked recessive diseases affect males predominantly.
    • Understanding disease epidemiology is crucial for public health.
    • Previous models may not fully capture complex genetic and fitness factors.

    Purpose of the Study:

    • To develop a novel mathematical model for X-linked recessive disease epidemiology.
    • To incorporate de novo mutations and selection pressures into the model.
    • To analyze disease dynamics and population survival.

    Main Methods:

    • Developed a discrete time, structured, non-linear mathematical model.
    • Incorporated parameters for de novo mutation rates.
    • Included distinct fitness rates to represent selection pressures.
    • Applied Lyapunov direct method for stability analysis.

    Main Results:

    • Determined the domain of attraction for the model's equilibrium point.
    • Analyzed convergence properties towards equilibria.
    • Investigated the degenerate equilibrium where only affected individuals persist.

    Conclusions:

    • The developed model provides a framework for understanding X-linked recessive disease epidemiology.
    • The model highlights the interplay between mutation, selection, and disease prevalence.
    • Further research can refine the model for specific genetic disorders.