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Titolo:
Covariates in linkage analysis
Autore:
Rice, JP; Rochberg, N; Neuman, RJ; Saccone, NL; Liu, KY; Zhang, X; Culverhouse, R;
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: 17, anno: 1999, supplemento:, 1
pagine: S691 - S695
SICI:
0741-0395(1999)17:<S691:CILA>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Keywords:
affected family based controls; harm avoidance;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
4
Recensione:
Indirizzi per estratti:
Indirizzo: Rice, JP Washington Univ, Sch Med, Dept Psychiat, 4940 Childrens Pl, St Louis, MO 63110 USA Washington Univ 4940 Childrens Pl St Louis MO USA 63110 63110 USA
Citazione:
J.P. Rice et al., "Covariates in linkage analysis", GENET EPID, 17, 1999, pp. S691-S695

Abstract

We apply a novel technique to detect significant covariates in linkage analysis using a logistic regression approach. An overall test of linkage is first performed to determine whether there is significant perturbation from the expected 50% sharing under the hypothesis of no linkage; if the overalltest is significant, the importance of the individual covariate is assessed. In addition, association analyses were performed. These methods were applied to simulated data from multiple populations, and detected correct marker linkages and associations. No population heterogeneity was detected. These methods have the advantages of using all sib pairs and of providing a formal test for heterogeneity across populations. (C) 1999 Wiley-Liss, Inc.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 08:25:01