Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes

  1. Andrew D Skol
  2. Segun C Jung
  3. Ana Marija Sokovic
  4. Siquan Chen
  5. Sarah Fazal
  6. Olukayode Sosina
  7. Poulami P Borkar
  8. Amy Lin
  9. Maria Sverdlov
  10. Dingcai Cao
  11. Anand Swaroop
  12. Ionut Bebu
  13. DCCT/ EDIC Study group
  14. Barbara E Stranger  Is a corresponding author
  15. Michael A Grassi  Is a corresponding author
  1. Ann and Robert H Lurie Children's Hospital of Chicago,, United States
  2. NeoGenomics Laboratories, United States
  3. University Of Illinois at Chicago, United States
  4. The University of Chicago, United States
  5. Johns Hopkins University, United States
  6. National Institutes of Health, United States
  7. The George Washington University, United States
  8. Northwestern University Feinberg School of Medicine, United States

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  1. Version of Record published
  2. Accepted Manuscript published
  3. Accepted
  4. Received

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  1. Andrew D Skol
  2. Segun C Jung
  3. Ana Marija Sokovic
  4. Siquan Chen
  5. Sarah Fazal
  6. Olukayode Sosina
  7. Poulami P Borkar
  8. Amy Lin
  9. Maria Sverdlov
  10. Dingcai Cao
  11. Anand Swaroop
  12. Ionut Bebu
  13. DCCT/ EDIC Study group
  14. Barbara E Stranger
  15. Michael A Grassi
(2020)
Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes
eLife 9:e59980.
https://doi.org/10.7554/eLife.59980

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https://doi.org/10.7554/eLife.59980