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Titolo:
A clustering approach for localizing disease susceptibility loci
Autore:
Neuman, RJ; Bierut, LJ; Rasmussen, E; Saccone, NL; Rice, JP; Corbett, J; Sun, LW; Liu, KY;
Indirizzi:
Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA WashingtonUniv St Louis MO USA 63110 pt Psychiat, St Louis, MO 63110 USA
Titolo Testata:
GENETIC EPIDEMIOLOGY
, volume: 21, anno: 2001, supplemento:, 1
pagine: S534 - S539
SICI:
0741-0395(2001)21:<S534:ACAFLD>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Keywords:
allele sharing; cluster analysis; IBD; latent class analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
7
Recensione:
Indirizzi per estratti:
Indirizzo: Neuman, RJ Washington Univ, Sch Med, Dept Psychiat, 660 S Euclid,Box 8134,St Louis, MO 63110 USA Washington Univ 660 S Euclid,Box 8134 St Louis MO USA 63110 USA
Citazione:
R.J. Neuman et al., "A clustering approach for localizing disease susceptibility loci", GENET EPID, 21, 2001, pp. S534-S539

Abstract

Latent class (LCA) and cluster analysis (CLA) were utilized to identify trait loci for the Genetic Analysis Workshop 12 simulated disease. These techniques create non-overlapping subsets of concordant and discordant affectedrelative pairs based upon identity-by-des cent (IBD) allele sharing at sequences of markers. Subgroups with a large proportion of affected pairs are used to identify markers in proximity to disease susceptibility loci. Both methods are model-free and make use of information from affected and unaffected subjects. In analyses performed without knowledge of the true disease model, LCA and CLA identified regions containing five of the seven trait loci. (C) 2001 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/02/20 alle ore 07:50:06