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An optimized procedure for the design and evaluation of Ecotilling assays
BACKGROUND: Single nucleotide polymorphisms (SNPs) are the most common form of genetic variability in the human genome and play a prominent role in the heritability of phenotypes. Especially rare alleles with frequencies less than 5% may exhibit a particularly strong influence on the development of...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2586031/ https://www.ncbi.nlm.nih.gov/pubmed/18973671 http://dx.doi.org/10.1186/1471-2164-9-510 |
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author | Coassin, Stefan Brandstätter, Anita Kronenberg, Florian |
author_facet | Coassin, Stefan Brandstätter, Anita Kronenberg, Florian |
author_sort | Coassin, Stefan |
collection | PubMed |
description | BACKGROUND: Single nucleotide polymorphisms (SNPs) are the most common form of genetic variability in the human genome and play a prominent role in the heritability of phenotypes. Especially rare alleles with frequencies less than 5% may exhibit a particularly strong influence on the development of complex diseases. The detection of rare alleles by standard DNA sequencing is time-consuming and cost-intensive. Here we discuss an alternative approach for a high throughput detection of rare mutations in large population samples using Ecotilling embedded in a collection of bioinformatic analysis tools. Ecotilling originally was introduced as TILLING for the screening for rare chemically induced mutations in plants and later adopted for human samples, showing an outstanding suitability for the detection of rare alleles in humans. An actual problem in the use of Ecotilling for large mutation screening projects in humans without bioinformatic support is represented by the lack of solutions to quickly yet comprehensively evaluate each newly found variation and place it into the correct genomic context. RESULTS: We present an optimized strategy for the design, evaluation and interpretation of Ecotilling results by integrating several mostly freely available bioinformatic tools. A major focus of our investigations was the evaluation and meaningful economical combination of these software tools for the inference of different possible regulatory functions for each newly detected mutation. CONCLUSION: Our streamlined procedure significantly facilitates the experimental design and evaluation of Ecotilling assays and strongly improves the decision process on prioritizing the newly found SNPs for further downstream analysis. |
format | Text |
id | pubmed-2586031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25860312008-11-22 An optimized procedure for the design and evaluation of Ecotilling assays Coassin, Stefan Brandstätter, Anita Kronenberg, Florian BMC Genomics Methodology Article BACKGROUND: Single nucleotide polymorphisms (SNPs) are the most common form of genetic variability in the human genome and play a prominent role in the heritability of phenotypes. Especially rare alleles with frequencies less than 5% may exhibit a particularly strong influence on the development of complex diseases. The detection of rare alleles by standard DNA sequencing is time-consuming and cost-intensive. Here we discuss an alternative approach for a high throughput detection of rare mutations in large population samples using Ecotilling embedded in a collection of bioinformatic analysis tools. Ecotilling originally was introduced as TILLING for the screening for rare chemically induced mutations in plants and later adopted for human samples, showing an outstanding suitability for the detection of rare alleles in humans. An actual problem in the use of Ecotilling for large mutation screening projects in humans without bioinformatic support is represented by the lack of solutions to quickly yet comprehensively evaluate each newly found variation and place it into the correct genomic context. RESULTS: We present an optimized strategy for the design, evaluation and interpretation of Ecotilling results by integrating several mostly freely available bioinformatic tools. A major focus of our investigations was the evaluation and meaningful economical combination of these software tools for the inference of different possible regulatory functions for each newly detected mutation. CONCLUSION: Our streamlined procedure significantly facilitates the experimental design and evaluation of Ecotilling assays and strongly improves the decision process on prioritizing the newly found SNPs for further downstream analysis. BioMed Central 2008-10-30 /pmc/articles/PMC2586031/ /pubmed/18973671 http://dx.doi.org/10.1186/1471-2164-9-510 Text en Copyright © 2008 Coassin 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 | Methodology Article Coassin, Stefan Brandstätter, Anita Kronenberg, Florian An optimized procedure for the design and evaluation of Ecotilling assays |
title | An optimized procedure for the design and evaluation of Ecotilling assays |
title_full | An optimized procedure for the design and evaluation of Ecotilling assays |
title_fullStr | An optimized procedure for the design and evaluation of Ecotilling assays |
title_full_unstemmed | An optimized procedure for the design and evaluation of Ecotilling assays |
title_short | An optimized procedure for the design and evaluation of Ecotilling assays |
title_sort | optimized procedure for the design and evaluation of ecotilling assays |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2586031/ https://www.ncbi.nlm.nih.gov/pubmed/18973671 http://dx.doi.org/10.1186/1471-2164-9-510 |
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