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Forward-time simulations of human populations with complex diseases.

Forward-time simulations of human populations with complex diseases. Research Abstract Details 

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  • Forward-time simulations of human populations with complex diseases. Abstract Text:

    bo pengBo Peng,christopher i amosChristopher I Amos,marek kimmelMarek Kimmel,

    Due to the increasing power of personal computers, as well as the availability of flexible forward-time simulation programs like simuPOP, it is now possible to simulate the evolution of complex human diseases using a forward-time approach. This approach is potentially more powerful than the coalescent approach since it allows simulations of more than one disease susceptibility locus using almost arbitrary genetic and demographic models. However, the application of such simulations has been deterred by the lack of a suitable simulation framework. For example, it is not clear when and how to introduce disease mutants-especially those under purifying selection-to an evolving population, and how to control the disease allele frequencies at the last generation. In this paper, we introduce a forward-time simulation framework that allows us to generate large multi-generation populations with complex diseases caused by unlinked disease susceptibility loci, according to specified demographic and evolutionary properties. Unrelated individuals, small or large pedigrees can be drawn from the resulting population and provide samples for a wide range of study designs and ascertainment methods. We demonstrate our simulation framework using three examples that map genes associated with affection status, a quantitative trait, and the age of onset of a hypothetical cancer, respectively. Nonadditive fitness models, population structure, and gene-gene interactions are simulated. Case-control, sibpair, and large pedigree samples are drawn from the simulated populations and are examined by a variety of gene-mapping methods.

    Forward-time simulations of human populations with complex diseases. Publishing Authors By Initials

    b pengB Peng,ci amosCI Amos,m kimmelM Kimmel,

    For similar natural sciences: time research abstracts see: natural sciences: time research

    PUBMED ID PMID:

    MEDLINE DATE:

    Forward-time simulations of human populations with complex diseases. Journal Published:

    PUBLICATION TYPE: Research Support, U.S. Gov't,

    Journal: PLoS genetics

    VOLUME: 3

    Page Numbers: e47

    Journal Abbreviation: PLoS Genet.

    ISSN: 1553-7404

    DAY: 15

    MONTH: 02

    YEAR: 2007

    Forward-time simulations of human populations with complex diseases. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101239074

    Forward-time simulations of human populations with complex diseases. Keywords Mesh Terms:

    KEYWORDS: Time

    MESH TERMS: pathology

    Chemical & Substance for Abstract: Forward-time simulations of human populations with complex diseases. Information

    Substance Name: Genetic Markers

    Registry Number: 0

    Grant and Affiliation Information for Forward-time simulations of human populations with complex diseases.

    AFFILIATION: Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, United States of America. bpeng@mdanderson.org

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIEHS

    GRANT: ES09912

    ACRONYM: ES

    MEDLINETA: PLoS Genet

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

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