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Cost effective assay choice for rare disease study designs
High throughput assays tend to be expensive per subject. Often studies are limited not so much by the number of subjects available as by assay costs, making assay choice a critical issue. We have developed a framework for assay choice that maximises the number of true disease causing mechanisms ‘see...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334400/ https://www.ncbi.nlm.nih.gov/pubmed/25648394 http://dx.doi.org/10.1186/s13023-015-0226-9 |
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author | Campbell, Desmond D Porsch, Robert M Cherny, Stacey S Capra, Valeria Merello, Elisa De Marco, Patrizia Sham, Pak C Garcia-Barceló, Maria-Mercè |
author_facet | Campbell, Desmond D Porsch, Robert M Cherny, Stacey S Capra, Valeria Merello, Elisa De Marco, Patrizia Sham, Pak C Garcia-Barceló, Maria-Mercè |
author_sort | Campbell, Desmond D |
collection | PubMed |
description | High throughput assays tend to be expensive per subject. Often studies are limited not so much by the number of subjects available as by assay costs, making assay choice a critical issue. We have developed a framework for assay choice that maximises the number of true disease causing mechanisms ‘seen’, given limited resources. Although straightforward, some of the ramifications of our methodology run counter to received wisdom on study design. We illustrate our methodology with examples, and have built a website allowing calculation of quantities of interest to those designing rare disease studies. |
format | Online Article Text |
id | pubmed-4334400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43344002015-02-20 Cost effective assay choice for rare disease study designs Campbell, Desmond D Porsch, Robert M Cherny, Stacey S Capra, Valeria Merello, Elisa De Marco, Patrizia Sham, Pak C Garcia-Barceló, Maria-Mercè Orphanet J Rare Dis Letter to the Editor High throughput assays tend to be expensive per subject. Often studies are limited not so much by the number of subjects available as by assay costs, making assay choice a critical issue. We have developed a framework for assay choice that maximises the number of true disease causing mechanisms ‘seen’, given limited resources. Although straightforward, some of the ramifications of our methodology run counter to received wisdom on study design. We illustrate our methodology with examples, and have built a website allowing calculation of quantities of interest to those designing rare disease studies. BioMed Central 2015-02-04 /pmc/articles/PMC4334400/ /pubmed/25648394 http://dx.doi.org/10.1186/s13023-015-0226-9 Text en © Campbell et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Letter to the Editor Campbell, Desmond D Porsch, Robert M Cherny, Stacey S Capra, Valeria Merello, Elisa De Marco, Patrizia Sham, Pak C Garcia-Barceló, Maria-Mercè Cost effective assay choice for rare disease study designs |
title | Cost effective assay choice for rare disease study designs |
title_full | Cost effective assay choice for rare disease study designs |
title_fullStr | Cost effective assay choice for rare disease study designs |
title_full_unstemmed | Cost effective assay choice for rare disease study designs |
title_short | Cost effective assay choice for rare disease study designs |
title_sort | cost effective assay choice for rare disease study designs |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334400/ https://www.ncbi.nlm.nih.gov/pubmed/25648394 http://dx.doi.org/10.1186/s13023-015-0226-9 |
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