國家衛生研究院 NHRI:Item 3990099045/12684
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/12684


    Title: A pseudolikelihood approach for assessing genetic association in case-control studies with unmeasured population structure
    Authors: Chen, Y;Liang, KY;Tong, P;Beaty, TH;Barnes, KC;Linda Kao, WH
    Contributors: Institute of Population Health Sciences
    Abstract: The case-control study design is one of the main tools for detecting associations between genetic markers and diseases. It is well known that population substructure can lead to spurious association between disease status and a genetic marker if the prevalence of disease and the marker allele frequency vary across subpopulations. In this paper, we propose a novel statistical method to estimate the association in case-control studies with unmeasured population substructure. The proposed method takes two steps. First, the information on genomic markers and disease status is used to infer the population substructure; second, the association between the disease and the test marker adjusting for the population substructure is modeled and estimated parametrically through polytomous logistic regression. The performance of the proposed method, relative to the existing methods, on bias, coverage probability and computational time, is assessed through simulations. The method is applied to an end-stage renal disease study in African Americans population.
    Date: 2020-11
    Relation: Statistical Methods in Medical Research. 2020 Nov;29(11):3153-3165.
    Link to: http://dx.doi.org/10.1177/0962280220921212
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0962-2802&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000533940000001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85084834620
    Appears in Collections:[Kung-Yee Liang] Periodical Articles

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