Author | Carvalho, P. C. | |
Author | Freitas, S. S. | |
Author | Lima, A; B. | |
Author | Barros, M. | |
Author | Bittencourt, I. | |
Author | Degrave, Win | |
Author | Cordovil, I. | |
Author | Fonseca, R. | |
Author | Carvalho, M. G. C. | |
Author | Moura Neto, R. S. | |
Author | Cabello, P. H. | |
Access date | 2020-01-02T18:38:16Z | |
Available date | 2020-01-02T18:38:16Z | |
Document date | 2006 | |
Citation | CARVALHO, P. C. et al. Personalized diagnosis by cached solutions with hypertension as a study model. Genetics and Molecular Research, v. 5, n. 4, p. 856-867, 2006. | pt_BR |
ISSN | 1676-5680 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/38947 | |
Language | eng | pt_BR |
Publisher | FUNPEC-RP | pt_BR |
Rights | open access | pt_BR |
Subject in Portuguese | Polimorfismos genéticos | pt_BR |
Subject in Portuguese | Hipertensão essencial | pt_BR |
Subject in Portuguese | Riscos ambientais | pt_BR |
Subject in Portuguese | Máquinas de vetores de suporte | pt_BR |
Subject in Portuguese | Seleção de recursos | pt_BR |
Title | Personalized diagnosis by cached solutions with hypertension as a study model | pt_BR |
Type | Article | pt_BR |
Abstract | 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 reninangiotensin-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. | pt_BR |
Affilliation | Universidade Federal do Rio de Janeiro. COPPE. Programa de Engenharia de Sistemas e Computação. Rio de Janeiro, RJ, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Genômica Funcional e Bioinformática. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Departamento de Genética Humana. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Cardiologia. Laranjeiras, RJ, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Cardiologia. Laranjeiras, RJ, Brasil. | pt_BR |
Affilliation | Instituto Nacional de Cardiologia. Laranjeiras, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Genômica Funcional e Bioinformática. Rio de Janeiro, RJ, Brasil | pt_BR |
Affilliation | Instituto Nacional de Cardiologia. Laranjeiras, RJ, Brasil. | pt_BR |
Affilliation | Universidade Federal de Juiz de Fora. Departamento de Ciência da Computação. Juiz de Fora, MG, Brasil. | pt_BR |
Affilliation | Universidade Federal do Rio de Janeiro. Instituto de Biofísica Carlos Chagas Filho. Laboratório do Controle da Expressão Gênica. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade Federal do Rio de Janeiro. Departamento de Genética Humana. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Departamento de Genética Humana. Rio de Janeiro, RJ, Brasil. | pt_BR |
Subject | Genetic polymorphisms | pt_BR |
Subject | Essential hypertension | pt_BR |
Subject | Environmental risks | pt_BR |
Subject | Support vector machines | pt_BR |
Subject | Feature selection | pt_BR |