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Titolo:
Covariates in linkage analysis using sibling and cousin pairs
Autore:
Saccone, NL; Rochberg, N; Neuman, RJ; Rice, JP;
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: S540 - S545
SICI:
0741-0395(2001)21:<S540:CILAUS>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Keywords:
allele-sharing methods; identity by descent; logistic regression; relative pairs;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
5
Recensione:
Indirizzi per estratti:
Indirizzo: Saccone, NL Washington Univ, Sch Med, Dept Psychiat, 660 S Euclid Ave,Box 8134, St Louis, MO 63110 USA Washington Univ 660 S Euclid Ave,Box 8134 St Louis MO USA 63110
Citazione:
N.L. Saccone et al., "Covariates in linkage analysis using sibling and cousin pairs", GENET EPID, 21, 2001, pp. S540-S545

Abstract

Using simulated data from GAW 12, problem 2, we further develop a novel technique to detect and use significant covariates in linkage analysis. The method, first introduced by Rice et al. [Genet Epidemiol 17(Suppl. 1):S691-5, 1999], uses logistic regression to model perturbation in sharing as a function of covariate levels. The original method allows use of all sib pairs (concordant affected, concordant unaffected, and discordant). Here we extend this method to include cousin pairs in analysis. (C) 2001 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/04/20 alle ore 01:50:30