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Titolo:
Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure
Autore:
Allison, DB; Neale, MC; Zannolli, R; Schork, NJ; Amos, CI; Blangero, J;
Indirizzi:
Columbia Univ Coll Phys & Surg, St Lukes Roosevelt Hosp, Obes Res Ctr, NewYork, NY 10032 USA Columbia Univ Coll Phys & Surg New York NY USA 10032 ewYork, NY 10032 USA Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Dept Psychiat, Richmond, VA USA Virginia Commonwealth Univ Richmond VA USA pt Psychiat, Richmond, VA USA Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Dept Psychol, Richmond, VA USA Virginia Commonwealth Univ Richmond VA USA ept Psychol, Richmond, VA USA Univ Siena, Policlin LeScotte, Dept Pediat, I-53100 Siena, Italy Univ Siena Siena Italy I-53100 Scotte, Dept Pediat, I-53100 Siena, Italy Case Western Reserve Univ, Dept Biostat & Epidemiol, Cleveland, OH 44106 USA Case Western Reserve Univ Cleveland OH USA 44106 Cleveland, OH 44106 USA Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA Harvard Univ Boston MA USA 02115 Hlth, Dept Biostat, Boston, MA 02115 USA Harvard Univ, Sch Publ Hlth, Program Populat Genet, Boston, MA 02115 USA Harvard Univ Boston MA USA 02115 gram Populat Genet, Boston, MA 02115 USA Jackson Lab, Bar Harbor, ME 04609 USA Jackson Lab Bar Harbor ME USA 04609Jackson Lab, Bar Harbor, ME 04609 USA Univ Texas, MD Anderson Canc Ctr, Dept Epidemiol, Houston, TX 77030 USA Univ Texas Houston TX USA 77030 tr, Dept Epidemiol, Houston, TX 77030 USA SW Fdn Biomed Res, Dept Genet, San Antonio, TX USA SW Fdn Biomed Res San Antonio TX USA es, Dept Genet, San Antonio, TX USA
Titolo Testata:
AMERICAN JOURNAL OF HUMAN GENETICS
fascicolo: 2, volume: 65, anno: 1999,
pagine: 531 - 544
SICI:
0002-9297(199908)65:2<531:TTROTL>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
ASSESSING GENETIC-LINKAGE; DISCORDANT SIB PAIRS; MATRIX MIXED MODELS; FAMILIES; MULTIVARIATE; SELECTION; PEDIGREES; POWER; DISTRIBUTIONS; EFFICIENCY;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
69
Recensione:
Indirizzi per estratti:
Indirizzo: Allison, DB Columbia Univ Coll Phys & Surg, St Lukes Roosevelt Hosp, Obes Res Ctr, 1090 Amsterdam Ave,14th Floor, New York, NY 10032 USA Columbia Univ Coll Phys & Surg 1090 Amsterdam Ave,14th Floor New York NY USA 10032
Citazione:
D.B. Allison et al., "Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure", AM J HU GEN, 65(2), 1999, pp. 531-544

Abstract

Detection of linkage to genes for quantitative traits remains a challenging task. Recently, variance components (VC) techniques have emerged as amongthe more powerful of available methods. As often implemented, such techniques require assumptions about the phenotypic distribution. Usually, multivariate normality is assumed. However, several factors may lead to markedly nonnormal phenotypic data, including (a) the presence of a major gene (not necessarily linked to the markers under study), (b) some types of gene x environment interaction, (c) use of a dichotomous phenotype (i.e., affected vs, unaffected), (d) nonnormality of the population within-genotype (residual) distribution, and (e) selective (extreme) sampling. Using simulation, we have investigated, for sib-pair studies, the robustness of the likelihood-ratio test for a VC quantitative-trait locus-detection procedure to violations of normality that are due to these factors. Results showed (d) that sometypes of nonnormality, such as leptokurtosis, produced type I error rates in excess of the nominal, or alpha, levels whereas others did not; and (b) that the degree of type I error-rate inflation appears to be directly related to the residual sibling correlation. Potential solutions to this problemare discussed. Investigators contemplating use of this VC procedure are encouraged to provide evidence that their trait data are normally distributed, to employ a procedure that allows for nonnormal data, or to consider implementation of permutation tests.

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Documento generato il 03/04/20 alle ore 19:57:46