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    Online Resource
    Online Resource
    Wiley ; 2012
    In:  Annals of Neurology Vol. 72, No. 4 ( 2012-10), p. 502-509
    In: Annals of Neurology, Wiley, Vol. 72, No. 4 ( 2012-10), p. 502-509
    Abstract: Although genome‐wide association studies (GWAS) have proven remarkably effective at identifying reliably associated genetic variants, the biology underlying these discoveries is rarely immediately apparent and in most cases seems bound to require extensive fine mapping and functional analysis before it is revealed. In this context, it is logical and appropriate to try to interrogate available genetic data for biological insights. However, because such efforts invariably depend upon mathematical modeling, misperceptions can easily arise if the relevant mathematical properties are overlooked or forgotten. In this report, we will examine these mathematical issues, highlight some of the more common misconceptions, and hopefully help to clarify the somewhat blurry distinction between biology and mathematics that can so easily undermine and obscure the value of GWAS discoveries. ANN NEUROL 2012;72:502–509
    Type of Medium: Online Resource
    ISSN: 0364-5134 , 1531-8249
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 80362-5
    detail.hit.zdb_id: 2037912-2
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