Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783621276067168256 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7728435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT skolandrewd integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT jungsegunc integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT sokovicanamarija integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT chensiquan integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT fazalsarah integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT sosinaolukayode integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT borkarpoulamip integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT linamy integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT sverdlovmaria integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT caodingcai integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT swaroopanand integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT bebuionut integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT strangerbarbarae integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes AT grassimichaela integrationofgenomicsandtranscriptomicspredictsdiabeticretinopathysusceptibilitygenes |