Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity

Induced pluripotent stem cell (iPSC) technology is more and more used for the study of genetically complex human disease but is challenged by variability, sample size and polygenicity. We discuss studies involving iPSC-derived neurons from patients with Schizophrenia (SCZ), to exemplify that heterog...

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Autores principales: Hoekstra, Stephanie D., Stringer, Sven, Heine, Vivi M., Posthuma, Danielle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468546/
https://www.ncbi.nlm.nih.gov/pubmed/28659762
http://dx.doi.org/10.3389/fncel.2017.00164
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author Hoekstra, Stephanie D.
Stringer, Sven
Heine, Vivi M.
Posthuma, Danielle
author_facet Hoekstra, Stephanie D.
Stringer, Sven
Heine, Vivi M.
Posthuma, Danielle
author_sort Hoekstra, Stephanie D.
collection PubMed
description Induced pluripotent stem cell (iPSC) technology is more and more used for the study of genetically complex human disease but is challenged by variability, sample size and polygenicity. We discuss studies involving iPSC-derived neurons from patients with Schizophrenia (SCZ), to exemplify that heterogeneity in sampling strategy complicate the detection of disease mechanisms. We offer a solution to controlling variability within and between iPSC studies by using specific patient selection strategies.
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spelling pubmed-54685462017-06-28 Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity Hoekstra, Stephanie D. Stringer, Sven Heine, Vivi M. Posthuma, Danielle Front Cell Neurosci Neuroscience Induced pluripotent stem cell (iPSC) technology is more and more used for the study of genetically complex human disease but is challenged by variability, sample size and polygenicity. We discuss studies involving iPSC-derived neurons from patients with Schizophrenia (SCZ), to exemplify that heterogeneity in sampling strategy complicate the detection of disease mechanisms. We offer a solution to controlling variability within and between iPSC studies by using specific patient selection strategies. Frontiers Media S.A. 2017-06-13 /pmc/articles/PMC5468546/ /pubmed/28659762 http://dx.doi.org/10.3389/fncel.2017.00164 Text en Copyright © 2017 Hoekstra, Stringer, Heine and Posthuma. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Hoekstra, Stephanie D.
Stringer, Sven
Heine, Vivi M.
Posthuma, Danielle
Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity
title Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity
title_full Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity
title_fullStr Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity
title_full_unstemmed Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity
title_short Genetically-Informed Patient Selection for iPSC Studies of Complex Diseases May Aid in Reducing Cellular Heterogeneity
title_sort genetically-informed patient selection for ipsc studies of complex diseases may aid in reducing cellular heterogeneity
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468546/
https://www.ncbi.nlm.nih.gov/pubmed/28659762
http://dx.doi.org/10.3389/fncel.2017.00164
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