Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Model-free linkage analysis with covariates confirms linkage of prostate cancer to chromosomes 1 and 4
Autore:
Goddard, KAB; Witte, JS; Suarez, BK; Catalona, WJ; Olson, JM;
Indirizzi:
Case Western Reserve Univ, Dept Epidemiol & Biostat, Rammelkamp Ctr Res & Educ, Cleveland, OH 44109 USA Case Western Reserve Univ Cleveland OH USA 44109 Cleveland, OH 44109 USA Washington Univ, Sch Med, Div Urol Surg, St Louis, MO 63110 USA WashingtonUniv St Louis MO USA 63110 v Urol Surg, St Louis, MO 63110 USA Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA WashingtonUniv St Louis MO USA 63110 pt Psychiat, St Louis, MO 63110 USA Washington Univ, Sch Med, Dept Genet, St Louis, MO 63110 USA Washington Univ St Louis MO USA 63110 Dept Genet, St Louis, MO 63110 USA
Titolo Testata:
AMERICAN JOURNAL OF HUMAN GENETICS
fascicolo: 5, volume: 68, anno: 2001,
pagine: 1197 - 1206
SICI:
0002-9297(200105)68:5<1197:MLAWCC>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
ANDROGEN RECEPTOR GENE; SUSCEPTIBILITY LOCUS; ASYMPTOTIC PROPERTIES; PAIR LINKAGE; HIGH-RISK; FAMILIES; 1Q42.2-43; 1Q24-25; REPEAT; GENOME;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
48
Recensione:
Indirizzi per estratti:
Indirizzo: Goddard, KAB Case Western Reserve Univ, Dept Epidemiol & Biostat, Rammelkamp Ctr Res & Educ, 2500 Metrohlth Dr,Metrohlth Campus, Cleveland, OH 44109 USA Case Western Reserve Univ 2500 Metrohlth Dr,Metrohlth Campus Cleveland OH USA 44109
Citazione:
K.A.B. Goddard et al., "Model-free linkage analysis with covariates confirms linkage of prostate cancer to chromosomes 1 and 4", AM J HU GEN, 68(5), 2001, pp. 1197-1206

Abstract

As with many complex genetic diseases, genome scans for prostate cancer have given conflicting results, often failing to provide replication of previous findings. One factor contributing to the lack of consistency across studies is locus heterogeneity, which can weaken or even eliminate evidence for linkage that is present only in a subset of families. Currently, most analyses either fail to account for locus heterogeneity or attempt to account for it only by partitioning data sets into smaller and smaller portions. Inthe present study, we model locus heterogeneity among affected sib pairs with prostate cancer by including covariates in the linkage analysis that serve as surrogate measures of between-family linkage differences. The model is a modification of the Olson conditional logistic model for affected relative pairs. By including Gleason score, age at onset, male-to-male transmission, and/or number of affected first-degree family members as covariates, we detected linkage near three locations that were previously identified bylinkage (1q24-25 [HPC1; LOD score 3.25, P = .00012], 1q42.2-43 [PCAP; LOD score 2.84, P = .0030], and 4q [LOD score 2.80, P = .00038]), near the androgen-receptor locus on Xq12-13 (AR; LOD score 3.06, P = .00053), and at five new locations (LOD score > 2.5). Without covariates, only a few weak-to-moderate linkage signals were found, none of which replicate findings of previous genome scans. We conclude that covariate-based linkage analysis greatly improves the likelihood that linked regions will be found by incorporation of information about heterogeneity within the sample.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/09/20 alle ore 23:37:13