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Titolo:
Gibbs sampling-based segregation analysis of asthma-associated quantitative traits in a population-based sample of nuclear families
Autore:
Palmer, LJ; Cookson, WOCM; James, AL; Musk, AW; Burton, PR;
Indirizzi:
Brigham & Womens Hosp, Channing Lab, Dept Med, Boston, MA 02115 USA Brigham & Womens Hosp Boston MA USA 02115 Dept Med, Boston, MA 02115 USA Harvard Univ, Sch Med, Boston, MA 02115 USA Harvard Univ Boston MA USA 02115 vard Univ, Sch Med, Boston, MA 02115 USA TVW Telethon Inst Child Hlth Res, Div Populat Sci, Genet Epidemiol Unit, Perth, WA, Australia TVW Telethon Inst Child Hlth Res Perth WA Australia Perth, WA, Australia Case Western Reserve Univ, Dept Epidemiol & Biostat, Cleveland, OH 44106 USA Case Western Reserve Univ Cleveland OH USA 44106 Cleveland, OH 44106 USA John Radcliffe Hosp, Nuffield Dept Chem Med, Oxford OX3 9DU, England John Radcliffe Hosp Oxford England OX3 9DU Med, Oxford OX3 9DU, England Sir Charles Gairdner Hosp, Dept Pulm Physiol, Perth, WA, Australia Sir Charles Gairdner Hosp Perth WA Australia ysiol, Perth, WA, Australia Sir Charles Gairdner Hosp, Univ Dept Med, Perth, WA, Australia Sir CharlesGairdner Hosp Perth WA Australia t Med, Perth, WA, Australia Sir Charles Gairdner Hosp, Dept Resp Med, Perth, WA, Australia Sir CharlesGairdner Hosp Perth WA Australia p Med, Perth, WA, Australia Univ Leicester, Dept Epidemiol & Publ Hlth, Unit Genet Epidemiol, Leicester, Leics, England Univ Leicester Leicester Leics England demiol, Leicester, Leics, England
Titolo Testata:
GENETIC EPIDEMIOLOGY
fascicolo: 3, volume: 20, anno: 2001,
pagine: 356 - 372
SICI:
0741-0395(200104)20:3<356:GSSAOA>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
SERUM IGE LEVELS; LINEAR MIXED MODELS; GENOME-WIDE SEARCH; IMMUNOGLOBULIN-E CONCENTRATIONS; VARIANCE-COMPONENTS ANALYSIS; SKIN-TEST REACTIVITY; FC-EPSILON-RI; BRONCHIAL RESPONSIVENESS; LINKAGE ANALYSIS; GENETIC-CONTROL;
Keywords:
asthma; IgE; airway responsiveness; eosinophils; genetics; Gibbs sampling; segregation; Busselton Health Study;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
65
Recensione:
Indirizzi per estratti:
Indirizzo: Palmer, LJ Brigham & Womens Hosp, Channing Lab, Dept Med, 181 Longwood Ave, Boston, MA 02115 USA Brigham & Womens Hosp 181 Longwood Ave Boston MA USA02115 USA
Citazione:
L.J. Palmer et al., "Gibbs sampling-based segregation analysis of asthma-associated quantitative traits in a population-based sample of nuclear families", GENET EPID, 20(3), 2001, pp. 356-372

Abstract

Asthma is a common, complex human disease. Elevated serum immunoglobulin E(IgE) levels, elevated blood eosinophil counts, and increased airway responsiveness are physiological traits that are characteristic of asthma. Few studies have investigated major gene effects for these traits in a population-based sample. Further. it is not known if any putative major genes may becommon to two or more of these traits. We investigated the existence and nature of major genes modulating asthma-associated quantitative traits in anAustralian population-based sample of 210 Caucasian nuclear families. The sharing of these major genes was also investigated. Segregation analysis was based upon a Markov Chain Monte Carlo (Gibbs sampling) approach as implemented in the program BUGS v0.6. All models included adjustment for age, height, tobacco smoke exposure, and gender. The segregation of total IgE levels, blood eosinophil counts, and dose-response slope (DRS) of methacholine challenge were all consistent with major loci at which a recessive allele acted to increase or decrease the phenotype. The respective estimated frequencies of the recessive alleles were 68% (total IgE), 10% (blood eosinophil count), and 27% (DRS). Extensive modelling suggested that the major loci controlling total serum IgE levels, blood eosinophil counts, and airway responsiveness represent different genes. These data provide evidence, for the first time, of the existence of at least 3 distinct genetic pathways involving major gene effects on physiological traits closely associated with asthma. These results have implications for gene discovery programs. (C) 2001 Wiley-Liss, Inc.

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Documento generato il 29/02/20 alle ore 03:05:09