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Titolo:
Power comparisons between the TDT and two likelihood-based methods
Autore:
Slager, SL; Huang, J; Vieland, VJ;
Indirizzi:
Univ Iowa, Dept Biostat, Iowa City, IA 52242 USA Univ Iowa Iowa City IA USA 52242 a, Dept Biostat, Iowa City, IA 52242 USA Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USA Univ Iowa Iowa City IA USA 52242 & Actuarial Sci, Iowa City, IA 52242 USA Univ Iowa, Coll Med, Dept Psychiat, Iowa City, IA 52242 USA Univ Iowa Iowa City IA USA 52242 , Dept Psychiat, Iowa City, IA 52242 USA Univ Iowa, Coll Med, Dept Biostat, Iowa City, IA 52242 USA Univ Iowa IowaCity IA USA 52242 d, Dept Biostat, Iowa City, IA 52242 USA
Titolo Testata:
GENETIC EPIDEMIOLOGY
fascicolo: 2, volume: 20, anno: 2001,
pagine: 192 - 209
SICI:
0741-0395(200102)20:2<192:PCBTTA>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Soggetto:
LOD-SCORE; LINKAGE ANALYSIS; DISEASE LOCI; DISEQUILIBRIUM; MODELS; GENE;
Keywords:
association tests; linkage tests; LOD score; genotypic relative risks;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
16
Recensione:
Indirizzi per estratti:
Indirizzo: Slager, SL Mayo Clin & Mayo Fdn, 200 1st St SW,Harwick 6, Rochester, MN 55905 USA Mayo Clin & Mayo Fdn 200 1st St SW,Harwick 6 Rochester MN USA 55905
Citazione:
S.L. Slager et al., "Power comparisons between the TDT and two likelihood-based methods", GENET EPID, 20(2), 2001, pp. 192-209

Abstract

We compare the statistical power of the transmission disequilibrium test (TDT) with that of two Likelihood-based linkage tests, the classical LOD score and a modified LOD score in which a linkage disequilibrium (LD) parameter is incorporated into the likelihood (LD-LOD). We hypothesize that, when LD is present, the LD-LOD will have the greatest power of the three tests because the TDT breaks a multiplex pedigree into triads, and the LOD score has previously been shown to have lower power when LD is present but not accounted for. We test this hypothesis using a simulation study in which we generate affected sib-pair (ASP) pedigrees under a range of genetic models, varying the genotypic relative risk (GRR) from 6 to 16. Because the Likelihood-based tests require that a genetic model be specified, we compare the tests under two scenarios. First, we assume the true genetic model in the analysis, and second, we compare the tests when the LD-LOD (LOD) is maximized over two wrong genetic models. For the generating models we considered, we find that the LD-LOD has greater power than the TDT even when the genetic models is mis-specified and the results corrected for multiple tests. Extremedifferences occur under the multiplicative and dominant models, for which the difference in power is as high as 40% at complete LD. The LOD score provides the lowest power in the presence of LD for the range of GRR considered here. (C) 2001 Wiley-Liss, Inc.

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Documento generato il 09/07/20 alle ore 14:25:18