Knecht, Carolin and Krawczak, Michael (2014) Molecular genetic epidemiology of human diseases: from patterns to predictions. Human Genetics, 133 (4). pp. 425-430.

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Abstract

Databases of disease-associated or disease-causing mutations allow the study, not only of the molecular mechanisms underlying the primary lesions at the DNA level, but also of the functional consequences of mutation at the phenotypic level. The Human Gene Mutation Database (HGMD) and the bioinformatics analyses of its content provide an illustrative example of this indirect approach to molecular genetic epidemiology. In fact, the Bayesian type of reasoning underlying previous scientific analyses of HGMD data is also reflected in current software tools used to predict the likely disease relevance of a newly detected genetic variant. After a brief resume of the past scientific utility of HGMD, we, therefore, shortly review three representative and commonly used examples of these tools, namely SIFT, PolyPhen-2 and NNSplice.

Document Type:	Article
Additional Information:	Times Cited: 1 Krawczak, Michael/A-8964-2010 0 1
Research affiliation:	OceanRep > The Future Ocean - Cluster of Excellence Kiel University
Projects:	Future Ocean
Date Deposited:	30 Mar 2015 12:22
Last Modified:	23 Sep 2019 17:46
URI:	https://oceanrep.geomar.de/id/eprint/27754

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