Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes

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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Bibliographic Details
Main Authors: Andrew D Skol, Segun C Jung, Ana Marija Sokovic, Siquan Chen, Sarah Fazal, Olukayode Sosina, Poulami P Borkar, Amy Lin, Maria Sverdlov, Dingcai Cao, Anand Swaroop, Ionut Bebu, DCCT/EDIC Study group, Barbara E Stranger, Michael A Grassi
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-11-01
Series:eLife
Subjects:
LCLs
folliculin
diabetic retinopathy
eQTL
mendelian randomization
gene expression
Online Access:https://elifesciences.org/articles/59980

Internet

https://elifesciences.org/articles/59980

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