Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes.
Andrew D SkolSegun C JungAna Marija SokovicSiquan ChenSarah FazalOlukayode SosinaPoulami P BorkarAmy LinMaria SverdlovDingcai CaoAnand SwaroopIonut Bebunull nullBarbara E StrangerMichael A GrassiPublished in: eLife (2020)
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.
Keyphrases
- diabetic retinopathy
- genome wide
- optical coherence tomography
- gene expression
- dna methylation
- poor prognosis
- systematic review
- genome wide identification
- genome wide association study
- single cell
- blood glucose
- copy number
- high glucose
- endothelial cells
- binding protein
- high resolution
- metabolic syndrome
- adipose tissue
- long non coding rna
- skeletal muscle
- insulin resistance
- bioinformatics analysis