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Confluence of Genes Related to the Combined Etiology DOISm (Diabetes, Obesity, Inflammation and Metabolic Syndrome) in Dissecting Nutritional Phenotypes

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Bioinformatics and Biomedical Engineering (IWBBIO 2016)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9656))

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Abstract

The term DOISm (Diabetes, Obesity, Inflammation and metabolic Syndrome) describes a confluence of comorbidities specifying these disease phenotypes. Recent studies using genome-wide association analysis have identified genes and variations that correlate human phenotype within phenotype prediction programs. Benefiting from such post-genomics outcomes, we catalogued genes that have been associated with each of the four conditions before searching for confluence of any two or three conditions, and the confluence of genes concomitantly involved in all phenotypes. Bioinformatics analyses were performed using multi-relational data mining techniques to cover sequence, structure and functional/clinical features. We used high-confidence predictions for gene functional classification analyses for better phenotyping DOISm confluence. Our curated panel of 1439 DOISm genes and a subset of 217 confluent genes represents a platform to assist in dissecting complex nutritional phenotypes. Our repertoire of human genes likely to be involved in DOISm is an attempt to guide further subtyping of complex phenotypes.

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Acknowledgements

The authors are funded by grants and fellowships from the following Brazilian agencies: CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) and FUNCAP (Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico).

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  1. Mestrado Acadêmico em Nutrição e Saúde, Centro de Ciências da Saúde (CCS), Universidade Estadual Do Ceará (UECE), Campus do Itaperi, Fortaleza, CE, 60740-000, Brazil

    Ana Paula Moreira Bezerra, José Francisco Diogo Da Silva Jr., Emanuel Diego S. Penha, Monalisa M. Silveira, Myrna S. Ramos & Diana Magalhaes Oliveira

  2. Programa de Pós-Graduação em Biotecnologia (RENORBIO), Universidade Estadual Do Ceará (UECE), Campus do Itaperi, Fortaleza, CE, 60740-000, Brazil

    Samara Cardoso Silva-Santiago & Diana Magalhaes Oliveira

  3. Bacharelado Em Nutrição, Universidade Federal Do Piauí (UFPI), Campus Senador Helvídio Nunes de Barros, Picos, PI, Brazil

    Mônica  M.  Silva & Ana Carolina L. Pacheco

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  1. Ana Paula Moreira Bezerra
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  2. Samara Cardoso Silva-Santiago
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  3. José Francisco Diogo Da Silva Jr.
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  5. Monalisa M. Silveira
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  6. Myrna S. Ramos
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  7. Mônica  M.  Silva
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  8. Ana Carolina L. Pacheco
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  9. Diana Magalhaes Oliveira
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Correspondence to Diana Magalhaes Oliveira .

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  1. Universidad de Granada, Granada, Spain

    Francisco Ortuño

  2. Universidad de Granada, Granada, Spain

    Ignacio Rojas

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Bezerra, A.P.M. et al. (2016). Confluence of Genes Related to the Combined Etiology DOISm (Diabetes, Obesity, Inflammation and Metabolic Syndrome) in Dissecting Nutritional Phenotypes. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2016. Lecture Notes in Computer Science(), vol 9656. Springer, Cham. https://doi.org/10.1007/978-3-319-31744-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-31744-1_3

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