Personalized diagnosis by cached solutions with hypertension as a study model.

Carvalho, P C; Freitas, S S; Lima, A B; Barros, M; Bittencourt, I; Degrave, W; Cordovil, I; Fonseca, R; Carvalho, M G C; Moura Neto, R S; Cabello, P H

Carvalho, P C; Freitas, S S; Lima, A B; Barros, M; Bittencourt, I; Degrave, W; Cordovil, I; Fonseca, R; Carvalho, M G C; Moura Neto, R S; Cabello, P H.

Afiliación

Carvalho PC; Programa de Engenharia de Sistemas e Computação, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil. carvalhopc@cos.ufrj.br

Genet Mol Res ; 5(4): 856-67, 2006 Dec 18.

Article en En | MEDLINE | ID: mdl-17183494

RESUMEN

Statistical modeling of links between genetic profiles with environmental and clinical data to aid in medical diagnosis is a challenge. Here, we present a computational approach for rapidly selecting important clinical data to assist in medical decisions based on personalized genetic profiles. What could take hours or days of computing is available on-the-fly, making this strategy feasible to implement as a routine without demanding great computing power. The key to rapidly obtaining an optimal/nearly optimal mathematical function that can evaluate the "disease stage" by combining information of genetic profiles with personal clinical data is done by querying a precomputed solution database. The database is previously generated by a new hybrid feature selection method that makes use of support vector machines, recursive feature elimination and random sub-space search. Here, to evaluate the method, data from polymorphisms in the renin-angiotensin-aldosterone system genes together with clinical data were obtained from patients with hypertension and control subjects. The disease "risk" was determined by classifying the patients' data with a support vector machine model based on the optimized feature; then measuring the Euclidean distance to the hyperplane decision function. Our results showed the association of renin-angiotensin-aldosterone system gene haplotypes with hypertension. The association of polymorphism patterns with different ethnic groups was also tracked by the feature selection process. A demonstration of this method is also available online on the project's web site.

Asunto(s)

Diagnóstico por Computador/métodos; Predisposición Genética a la Enfermedad; Hipertensión/diagnóstico; Reconocimiento de Normas Patrones Automatizadas; Polimorfismo Genético/genética; Sistema Renina-Angiotensina/genética; Algoritmos; Estudios de Casos y Controles; Femenino; Genotipo; Humanos; Hipertensión/genética; Masculino; Modelos Genéticos; Reproducibilidad de los Resultados

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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polimorfismo Genético / Sistema Renina-Angiotensina / Reconocimiento de Normas Patrones Automatizadas / Diagnóstico por Computador / Predisposición Genética a la Enfermedad / Hipertensión Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: Genet Mol Res Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2006 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Brasil

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