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Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data
BACKGROUND: Genetically determined differences in N-acetylation capacity have proved to be important determinants of both the effectiveness of therapeutic response and the development of adverse drug reactions and toxicity during drug treatment. NAT2PRED is a web-server that allows a fast determinat...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2806877/ https://www.ncbi.nlm.nih.gov/pubmed/20043821 http://dx.doi.org/10.1186/1471-2350-10-148 |
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author | Sabbagh, Audrey Darlu, Pierre Vidaud, Michel |
author_facet | Sabbagh, Audrey Darlu, Pierre Vidaud, Michel |
author_sort | Sabbagh, Audrey |
collection | PubMed |
description | BACKGROUND: Genetically determined differences in N-acetylation capacity have proved to be important determinants of both the effectiveness of therapeutic response and the development of adverse drug reactions and toxicity during drug treatment. NAT2PRED is a web-server that allows a fast determination of NAT2 acetylation phenotype from genotype data without taking the extra step of reconstructing haplotypes for each individual (publicly available at http://nat2pred.rit.albany.edu). However, the classification accuracy of NAT2PRED needs to be assessed before its application can be advocated at a large scale. METHODS: The ability of NAT2PRED to classify individuals according to their acetylation status (slow, intermediate and rapid acetylators) was evaluated in a worldwide dataset composed of 56 population samples (8,489 individuals) from four continental regions. RESULTS: NAT2PRED correctly identified slow acetylators with a sensitivity above 99% for all populations outside sub-Saharan Africa. Nevertheless, NAT2PRED showed a poor ability to distinguish between intermediate and rapid acetylators, with a classification error rate reaching up to 10% in the non-African samples. CONCLUSION: NAT2PRED is an excellent tool to infer the individual acetylation status from NAT2 genotype data when the main interest is to distinguish slow acetylators from the others. This should facilitate the determination of the individual acetylation status in routine clinical practice and lead to better monitoring of risks associated with cancer and adverse drug reactions. |
format | Text |
id | pubmed-2806877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28068772010-01-15 Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data Sabbagh, Audrey Darlu, Pierre Vidaud, Michel BMC Med Genet Research article BACKGROUND: Genetically determined differences in N-acetylation capacity have proved to be important determinants of both the effectiveness of therapeutic response and the development of adverse drug reactions and toxicity during drug treatment. NAT2PRED is a web-server that allows a fast determination of NAT2 acetylation phenotype from genotype data without taking the extra step of reconstructing haplotypes for each individual (publicly available at http://nat2pred.rit.albany.edu). However, the classification accuracy of NAT2PRED needs to be assessed before its application can be advocated at a large scale. METHODS: The ability of NAT2PRED to classify individuals according to their acetylation status (slow, intermediate and rapid acetylators) was evaluated in a worldwide dataset composed of 56 population samples (8,489 individuals) from four continental regions. RESULTS: NAT2PRED correctly identified slow acetylators with a sensitivity above 99% for all populations outside sub-Saharan Africa. Nevertheless, NAT2PRED showed a poor ability to distinguish between intermediate and rapid acetylators, with a classification error rate reaching up to 10% in the non-African samples. CONCLUSION: NAT2PRED is an excellent tool to infer the individual acetylation status from NAT2 genotype data when the main interest is to distinguish slow acetylators from the others. This should facilitate the determination of the individual acetylation status in routine clinical practice and lead to better monitoring of risks associated with cancer and adverse drug reactions. BioMed Central 2009-12-31 /pmc/articles/PMC2806877/ /pubmed/20043821 http://dx.doi.org/10.1186/1471-2350-10-148 Text en Copyright ©2009 Sabbagh et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research article Sabbagh, Audrey Darlu, Pierre Vidaud, Michel Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data |
title | Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data |
title_full | Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data |
title_fullStr | Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data |
title_full_unstemmed | Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data |
title_short | Evaluating NAT2PRED for inferring the individual acetylation status from unphased genotype data |
title_sort | evaluating nat2pred for inferring the individual acetylation status from unphased genotype data |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2806877/ https://www.ncbi.nlm.nih.gov/pubmed/20043821 http://dx.doi.org/10.1186/1471-2350-10-148 |
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