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Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics
Induced pluripotent stem cells (iPSCs) are an established cellular system to study the impact of genetic variants in derived cell types and developmental contexts. However, in their pluripotent state, the disease impact of genetic variants is less known. Here, we integrate data from 1,367 human iPSC...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944648/ https://www.ncbi.nlm.nih.gov/pubmed/33664507 http://dx.doi.org/10.1038/s41588-021-00800-7 |
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author | Bonder, Marc Jan Smail, Craig Gloudemans, Michael J. Frésard, Laure Jakubosky, David D’Antonio, Matteo Li, Xin Ferraro, Nicole M. Carcamo-Orive, Ivan Mirauta, Bogdan Seaton, Daniel D. Cai, Na Vakili, Dara Horta, Danilo Zhao, Chunli Zastrow, Diane B. Bonner, Devon E. Wheeler, Matthew T. Kilpinen, Helena Knowles, Joshua W. Smith, Erin N. Frazer, Kelly A. Montgomery, Stephen B. Stegle, Oliver |
author_facet | Bonder, Marc Jan Smail, Craig Gloudemans, Michael J. Frésard, Laure Jakubosky, David D’Antonio, Matteo Li, Xin Ferraro, Nicole M. Carcamo-Orive, Ivan Mirauta, Bogdan Seaton, Daniel D. Cai, Na Vakili, Dara Horta, Danilo Zhao, Chunli Zastrow, Diane B. Bonner, Devon E. Wheeler, Matthew T. Kilpinen, Helena Knowles, Joshua W. Smith, Erin N. Frazer, Kelly A. Montgomery, Stephen B. Stegle, Oliver |
author_sort | Bonder, Marc Jan |
collection | PubMed |
description | Induced pluripotent stem cells (iPSCs) are an established cellular system to study the impact of genetic variants in derived cell types and developmental contexts. However, in their pluripotent state, the disease impact of genetic variants is less known. Here, we integrate data from 1,367 human iPSC lines to comprehensively map common and rare regulatory variants in human pluripotent cells. Using this population-scale resource, we report hundreds of novel colocalization events for human traits specific to iPSCs, and find increased power to identify rare regulatory variants compared with somatic tissues. Finally, we demonstrate how iPSCs enable the identification of causal genes for rare diseases. |
format | Online Article Text |
id | pubmed-7944648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-79446482021-09-04 Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics Bonder, Marc Jan Smail, Craig Gloudemans, Michael J. Frésard, Laure Jakubosky, David D’Antonio, Matteo Li, Xin Ferraro, Nicole M. Carcamo-Orive, Ivan Mirauta, Bogdan Seaton, Daniel D. Cai, Na Vakili, Dara Horta, Danilo Zhao, Chunli Zastrow, Diane B. Bonner, Devon E. Wheeler, Matthew T. Kilpinen, Helena Knowles, Joshua W. Smith, Erin N. Frazer, Kelly A. Montgomery, Stephen B. Stegle, Oliver Nat Genet Article Induced pluripotent stem cells (iPSCs) are an established cellular system to study the impact of genetic variants in derived cell types and developmental contexts. However, in their pluripotent state, the disease impact of genetic variants is less known. Here, we integrate data from 1,367 human iPSC lines to comprehensively map common and rare regulatory variants in human pluripotent cells. Using this population-scale resource, we report hundreds of novel colocalization events for human traits specific to iPSCs, and find increased power to identify rare regulatory variants compared with somatic tissues. Finally, we demonstrate how iPSCs enable the identification of causal genes for rare diseases. 2021-03-04 2021-03 /pmc/articles/PMC7944648/ /pubmed/33664507 http://dx.doi.org/10.1038/s41588-021-00800-7 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Bonder, Marc Jan Smail, Craig Gloudemans, Michael J. Frésard, Laure Jakubosky, David D’Antonio, Matteo Li, Xin Ferraro, Nicole M. Carcamo-Orive, Ivan Mirauta, Bogdan Seaton, Daniel D. Cai, Na Vakili, Dara Horta, Danilo Zhao, Chunli Zastrow, Diane B. Bonner, Devon E. Wheeler, Matthew T. Kilpinen, Helena Knowles, Joshua W. Smith, Erin N. Frazer, Kelly A. Montgomery, Stephen B. Stegle, Oliver Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics |
title | Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics |
title_full | Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics |
title_fullStr | Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics |
title_full_unstemmed | Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics |
title_short | Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics |
title_sort | identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944648/ https://www.ncbi.nlm.nih.gov/pubmed/33664507 http://dx.doi.org/10.1038/s41588-021-00800-7 |
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