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Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool

There is on-going effort in the biomedical research community to leverage Next Generation Sequencing (NGS) technology to identify genetic variants that affect our health. The main challenge facing researchers is getting enough samples from individuals either sick or healthy – to be able to reliably...

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Detalles Bibliográficos
Autores principales: Wendelsdorf, Katherine, Shah, Sohela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803769/
https://www.ncbi.nlm.nih.gov/pubmed/27054071
http://dx.doi.org/10.1016/j.atg.2015.08.002
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author Wendelsdorf, Katherine
Shah, Sohela
author_facet Wendelsdorf, Katherine
Shah, Sohela
author_sort Wendelsdorf, Katherine
collection PubMed
description There is on-going effort in the biomedical research community to leverage Next Generation Sequencing (NGS) technology to identify genetic variants that affect our health. The main challenge facing researchers is getting enough samples from individuals either sick or healthy – to be able to reliably identify the few variants that are causal for a phenotype among all other variants typically seen among individuals. At the same time, more and more individuals are having their genome sequenced either out of curiosity or to identify the cause of an illness. These individuals may benefit from of a way to view and understand their data. QIAGEN's Ingenuity Variant Analysis is an online application that allows users with and without extensive bioinformatics training to incorporate information from published experiments, genetic databases, and a variety of statistical models to identify variants, from a long list of candidates, that are most likely causal for a phenotype as well as annotate variants with what is already known about them in the literature and databases. Ingenuity Variant Analysis is also an information sharing platform where users may exchange samples and analyses. The Empowered Genome Community (EGC) is a new program in which QIAGEN is making this on-line tool freely available to any individual who wishes to analyze their own genetic sequence. EGC members are then able to make their data available to other Ingenuity Variant Analysis users to be used in research. Here we present and describe the Empowered Genome Community in detail. We also present a preliminary, proof-of-concept study that utilizes the 200 genomes currently available through the EGC. The goal of this program is to allow individuals to access and understand their own data as well as facilitate citizen–scientist collaborations that can drive research forward and spur quality scientific dialogue in the general public.
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spelling pubmed-48037692016-04-06 Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool Wendelsdorf, Katherine Shah, Sohela Appl Transl Genom Article There is on-going effort in the biomedical research community to leverage Next Generation Sequencing (NGS) technology to identify genetic variants that affect our health. The main challenge facing researchers is getting enough samples from individuals either sick or healthy – to be able to reliably identify the few variants that are causal for a phenotype among all other variants typically seen among individuals. At the same time, more and more individuals are having their genome sequenced either out of curiosity or to identify the cause of an illness. These individuals may benefit from of a way to view and understand their data. QIAGEN's Ingenuity Variant Analysis is an online application that allows users with and without extensive bioinformatics training to incorporate information from published experiments, genetic databases, and a variety of statistical models to identify variants, from a long list of candidates, that are most likely causal for a phenotype as well as annotate variants with what is already known about them in the literature and databases. Ingenuity Variant Analysis is also an information sharing platform where users may exchange samples and analyses. The Empowered Genome Community (EGC) is a new program in which QIAGEN is making this on-line tool freely available to any individual who wishes to analyze their own genetic sequence. EGC members are then able to make their data available to other Ingenuity Variant Analysis users to be used in research. Here we present and describe the Empowered Genome Community in detail. We also present a preliminary, proof-of-concept study that utilizes the 200 genomes currently available through the EGC. The goal of this program is to allow individuals to access and understand their own data as well as facilitate citizen–scientist collaborations that can drive research forward and spur quality scientific dialogue in the general public. Elsevier 2015-09-05 /pmc/articles/PMC4803769/ /pubmed/27054071 http://dx.doi.org/10.1016/j.atg.2015.08.002 Text en © 2015 Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Wendelsdorf, Katherine
Shah, Sohela
Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool
title Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool
title_full Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool
title_fullStr Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool
title_full_unstemmed Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool
title_short Empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool
title_sort empowered genome community: leveraging a bioinformatics platform as a citizen–scientist collaboration tool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803769/
https://www.ncbi.nlm.nih.gov/pubmed/27054071
http://dx.doi.org/10.1016/j.atg.2015.08.002
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