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Risk in complex genetics: "all models are wrong but some are useful"

Lookup NU author(s): Professor James WasonORCiD

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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 Copyright © 2012 American Neurological Association.

Publication metadata

Author(s): Sawcer S, Wason J

Publication type: Article

Publication status: Published

Journal: Annals of Neurology

Year: 2012

Volume: 72

Issue: 4

Pages: 502-509

Print publication date: 01/10/2012

Online publication date: 14/04/2012

ISSN (print): 0364-5134

ISSN (electronic): 1531-8249

Publisher: John Wiley & Sons, Inc.

URL: https://doi.org/10.1002/ana.23613

DOI: 10.1002/ana.23613

PubMed id: 22605580

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