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eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk

The impact of genetic regulatory variation active in early pancreatic development on adult pancreatic disease and traits is not well understood. Here, we generate a panel of 107 fetal-like iPSC-derived pancreatic progenitor cells (iPSC-PPCs) from whole genome-sequenced individuals and identify 4065...

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Autores principales: Nguyen, Jennifer P., Arthur, Timothy D., Fujita, Kyohei, Salgado, Bianca M., Donovan, Margaret K. R., Matsui, Hiroko, Kim, Ji Hyun, D’Antonio-Chronowska, Agnieszka, D’Antonio, Matteo, Frazer, Kelly A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616100/
https://www.ncbi.nlm.nih.gov/pubmed/37903777
http://dx.doi.org/10.1038/s41467-023-42560-4
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author Nguyen, Jennifer P.
Arthur, Timothy D.
Fujita, Kyohei
Salgado, Bianca M.
Donovan, Margaret K. R.
Matsui, Hiroko
Kim, Ji Hyun
D’Antonio-Chronowska, Agnieszka
D’Antonio, Matteo
Frazer, Kelly A.
author_facet Nguyen, Jennifer P.
Arthur, Timothy D.
Fujita, Kyohei
Salgado, Bianca M.
Donovan, Margaret K. R.
Matsui, Hiroko
Kim, Ji Hyun
D’Antonio-Chronowska, Agnieszka
D’Antonio, Matteo
Frazer, Kelly A.
author_sort Nguyen, Jennifer P.
collection PubMed
description The impact of genetic regulatory variation active in early pancreatic development on adult pancreatic disease and traits is not well understood. Here, we generate a panel of 107 fetal-like iPSC-derived pancreatic progenitor cells (iPSC-PPCs) from whole genome-sequenced individuals and identify 4065 genes and 4016 isoforms whose expression and/or alternative splicing are affected by regulatory variation. We integrate eQTLs identified in adult islets and whole pancreas samples, which reveal 1805 eQTL associations that are unique to the fetal-like iPSC-PPCs and 1043 eQTLs that exhibit regulatory plasticity across the fetal-like and adult pancreas tissues. Colocalization with GWAS risk loci for pancreatic diseases and traits show that some putative causal regulatory variants are active only in the fetal-like iPSC-PPCs and likely influence disease by modulating expression of disease-associated genes in early development, while others with regulatory plasticity likely exert their effects in both the fetal and adult pancreas by modulating expression of different disease genes in the two developmental stages.
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spelling pubmed-106161002023-11-01 eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk Nguyen, Jennifer P. Arthur, Timothy D. Fujita, Kyohei Salgado, Bianca M. Donovan, Margaret K. R. Matsui, Hiroko Kim, Ji Hyun D’Antonio-Chronowska, Agnieszka D’Antonio, Matteo Frazer, Kelly A. Nat Commun Article The impact of genetic regulatory variation active in early pancreatic development on adult pancreatic disease and traits is not well understood. Here, we generate a panel of 107 fetal-like iPSC-derived pancreatic progenitor cells (iPSC-PPCs) from whole genome-sequenced individuals and identify 4065 genes and 4016 isoforms whose expression and/or alternative splicing are affected by regulatory variation. We integrate eQTLs identified in adult islets and whole pancreas samples, which reveal 1805 eQTL associations that are unique to the fetal-like iPSC-PPCs and 1043 eQTLs that exhibit regulatory plasticity across the fetal-like and adult pancreas tissues. Colocalization with GWAS risk loci for pancreatic diseases and traits show that some putative causal regulatory variants are active only in the fetal-like iPSC-PPCs and likely influence disease by modulating expression of disease-associated genes in early development, while others with regulatory plasticity likely exert their effects in both the fetal and adult pancreas by modulating expression of different disease genes in the two developmental stages. Nature Publishing Group UK 2023-10-30 /pmc/articles/PMC10616100/ /pubmed/37903777 http://dx.doi.org/10.1038/s41467-023-42560-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nguyen, Jennifer P.
Arthur, Timothy D.
Fujita, Kyohei
Salgado, Bianca M.
Donovan, Margaret K. R.
Matsui, Hiroko
Kim, Ji Hyun
D’Antonio-Chronowska, Agnieszka
D’Antonio, Matteo
Frazer, Kelly A.
eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk
title eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk
title_full eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk
title_fullStr eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk
title_full_unstemmed eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk
title_short eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk
title_sort eqtl mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616100/
https://www.ncbi.nlm.nih.gov/pubmed/37903777
http://dx.doi.org/10.1038/s41467-023-42560-4
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