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Authors: María M. Abad-Grau ; Nuria Medina-Medina ; Andrés Masegosa and Serafín Moral

Affiliation: Universidad de Granada, Spain

Keyword(s): Genetic predictive model, Genome-wide search, Haplotype risk.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Biostatistics and Stochastic Models ; Data Mining and Machine Learning ; Genomics and Proteomics ; Pattern Recognition, Clustering and Classification

Abstract: The enormous amount of genetic data that is currently being produced with the explosion of genome-wide association studies is yielding an important effort in the construction of genetic-based predictive models for individual susceptibility to complex diseases. However, a constant pattern of low accuracy is observed in most of them. We hypothesize that a main cause of their low accuracy is the strong reduction of genetic information considered by the classifiers, and propose a three-fold solution that considers haplotype instead of genotype individual data, whole-genome markers instead of a more stringent selection and several-marker risk variants instead of only one or two. We have compared the performance of our approach with current approaches to predict individual genetic risk to multiple sclerosis, and have found that our method yielded significantly more accurate classifiers.

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Paper citation in several formats:
M. Abad-Grau, M.; Medina-Medina, N.; Masegosa, A. and Moral, S. (2012). HAPLOTYPE-BASED CLASSIFIERS TO PREDICT INDIVIDUAL SUSCEPTIBILITY TO COMPLEX DISEASES - An Example for Multiple Sclerosis. In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2012) - BIOINFORMATICS; ISBN 978-989-8425-90-4; ISSN 2184-4305, SciTePress, pages 360-366. DOI: 10.5220/0003874003600366

@conference{bioinformatics12,
author={María {M. Abad{-}Grau}. and Nuria Medina{-}Medina. and Andrés Masegosa. and Serafín Moral.},
title={HAPLOTYPE-BASED CLASSIFIERS TO PREDICT INDIVIDUAL SUSCEPTIBILITY TO COMPLEX DISEASES - An Example for Multiple Sclerosis},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2012) - BIOINFORMATICS},
year={2012},
pages={360-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003874003600366},
isbn={978-989-8425-90-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (BIOSTEC 2012) - BIOINFORMATICS
TI - HAPLOTYPE-BASED CLASSIFIERS TO PREDICT INDIVIDUAL SUSCEPTIBILITY TO COMPLEX DISEASES - An Example for Multiple Sclerosis
SN - 978-989-8425-90-4
IS - 2184-4305
AU - M. Abad-Grau, M.
AU - Medina-Medina, N.
AU - Masegosa, A.
AU - Moral, S.
PY - 2012
SP - 360
EP - 366
DO - 10.5220/0003874003600366
PB - SciTePress

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