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Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes

We determined differential gene expression in response to high glucose in lymphoblastoid cell lines derived from matched individuals with type 1 diabetes with and without retinopathy. Those genes exhibiting the largest difference in glucose response were assessed for association with diabetic retino...

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Autores principales: Skol, Andrew D, Jung, Segun C, Sokovic, Ana Marija, Chen, Siquan, Fazal, Sarah, Sosina, Olukayode, Borkar, Poulami P, Lin, Amy, Sverdlov, Maria, Cao, Dingcai, Swaroop, Anand, Bebu, Ionut, Stranger, Barbara E, Grassi, Michael A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728435/
https://www.ncbi.nlm.nih.gov/pubmed/33164750
http://dx.doi.org/10.7554/eLife.59980
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author Skol, Andrew D
Jung, Segun C
Sokovic, Ana Marija
Chen, Siquan
Fazal, Sarah
Sosina, Olukayode
Borkar, Poulami P
Lin, Amy
Sverdlov, Maria
Cao, Dingcai
Swaroop, Anand
Bebu, Ionut
Stranger, Barbara E
Grassi, Michael A
author_facet Skol, Andrew D
Jung, Segun C
Sokovic, Ana Marija
Chen, Siquan
Fazal, Sarah
Sosina, Olukayode
Borkar, Poulami P
Lin, Amy
Sverdlov, Maria
Cao, Dingcai
Swaroop, Anand
Bebu, Ionut
Stranger, Barbara E
Grassi, Michael A
author_sort Skol, Andrew D
collection PubMed
description We determined differential gene expression in response to high glucose in lymphoblastoid cell lines derived from matched individuals with type 1 diabetes with and without retinopathy. Those genes exhibiting the largest difference in glucose response were assessed for association with diabetic retinopathy in a genome-wide association study meta-analysis. Expression quantitative trait loci (eQTLs) of the glucose response genes were tested for association with diabetic retinopathy. We detected an enrichment of the eQTLs from the glucose response genes among small association p-values and identified folliculin (FLCN) as a susceptibility gene for diabetic retinopathy. Expression of FLCN in response to glucose was greater in individuals with diabetic retinopathy. Independent cohorts of individuals with diabetes revealed an association of FLCN eQTLs with diabetic retinopathy. Mendelian randomization confirmed a direct positive effect of increased FLCN expression on retinopathy. Integrating genetic association with gene expression implicated FLCN as a disease gene for diabetic retinopathy.
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spelling pubmed-77284352020-12-14 Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes Skol, Andrew D Jung, Segun C Sokovic, Ana Marija Chen, Siquan Fazal, Sarah Sosina, Olukayode Borkar, Poulami P Lin, Amy Sverdlov, Maria Cao, Dingcai Swaroop, Anand Bebu, Ionut Stranger, Barbara E Grassi, Michael A eLife Genetics and Genomics We determined differential gene expression in response to high glucose in lymphoblastoid cell lines derived from matched individuals with type 1 diabetes with and without retinopathy. Those genes exhibiting the largest difference in glucose response were assessed for association with diabetic retinopathy in a genome-wide association study meta-analysis. Expression quantitative trait loci (eQTLs) of the glucose response genes were tested for association with diabetic retinopathy. We detected an enrichment of the eQTLs from the glucose response genes among small association p-values and identified folliculin (FLCN) as a susceptibility gene for diabetic retinopathy. Expression of FLCN in response to glucose was greater in individuals with diabetic retinopathy. Independent cohorts of individuals with diabetes revealed an association of FLCN eQTLs with diabetic retinopathy. Mendelian randomization confirmed a direct positive effect of increased FLCN expression on retinopathy. Integrating genetic association with gene expression implicated FLCN as a disease gene for diabetic retinopathy. eLife Sciences Publications, Ltd 2020-11-09 /pmc/articles/PMC7728435/ /pubmed/33164750 http://dx.doi.org/10.7554/eLife.59980 Text en © 2020, Skol et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genetics and Genomics
Skol, Andrew D
Jung, Segun C
Sokovic, Ana Marija
Chen, Siquan
Fazal, Sarah
Sosina, Olukayode
Borkar, Poulami P
Lin, Amy
Sverdlov, Maria
Cao, Dingcai
Swaroop, Anand
Bebu, Ionut
Stranger, Barbara E
Grassi, Michael A
Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
title Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
title_full Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
title_fullStr Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
title_full_unstemmed Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
title_short Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
title_sort integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
topic Genetics and Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728435/
https://www.ncbi.nlm.nih.gov/pubmed/33164750
http://dx.doi.org/10.7554/eLife.59980
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