Jonathan Han1, Leonardo Lando2, Dorota Skowronska-Krawczyk2, Daniel L Chao3,4. 1. School of Medicine, University of California San Diego, La Jolla, San Diego, CA, USA. 2. Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, 9415 Campus Point Dr, La Jolla, San Diego, CA, 92093, USA. 3. Shiley Eye Institute, Andrew Viterbi Department of Ophthalmology, University of California San Diego, 9415 Campus Point Dr, La Jolla, San Diego, CA, 92093, USA. dlchao@ucsd.edu. 4. Shiley Eye Institute; Andrew Viterbi Department of Ophthalmology, University of California San Diego, 9500 Gilman Dr MC 0946, La Jolla, San Diego, CA, 93094, USA. dlchao@ucsd.edu.
Abstract
PURPOSE OF REVIEW: The goal of this paper is to review the latest findings in understanding the genetics of diabetic retinopathy. We highlight recent literature using a variety of molecular genetic techniques to identify variants which contribute to genetic susceptibility for diabetic retinopathy. RECENT FINDINGS: New genome-wide association study (GWAS) and whole-exome sequencing approaches have been utilized to identify both common and rare variants associated with diabetic retinopathy. While variants have been identified in isolated studies, no variants have been replicated across multiple studies. The identification of genetic factors associated with diabetic retinopathy remains elusive. This is due to the multifactorial nature of the disease, small sample sizes for GWAS, and difficulty in controlling covariates of the disease. Larger populations as well as utilization of new sequencing and data analysis techniques may lead to new insights into genetic factors associated with diabetic retinopathy in the future.
PURPOSE OF REVIEW: The goal of this paper is to review the latest findings in understanding the genetics of diabetic retinopathy. We highlight recent literature using a variety of molecular genetic techniques to identify variants which contribute to genetic susceptibility for diabetic retinopathy. RECENT FINDINGS: New genome-wide association study (GWAS) and whole-exome sequencing approaches have been utilized to identify both common and rare variants associated with diabetic retinopathy. While variants have been identified in isolated studies, no variants have been replicated across multiple studies. The identification of genetic factors associated with diabetic retinopathy remains elusive. This is due to the multifactorial nature of the disease, small sample sizes for GWAS, and difficulty in controlling covariates of the disease. Larger populations as well as utilization of new sequencing and data analysis techniques may lead to new insights into genetic factors associated with diabetic retinopathy in the future.
Authors: D Michael Hallman; Eric Boerwinkle; Victor H Gonzalez; Barbara E K Klein; Ronald Klein; Craig L Hanis Journal: Diabetes Date: 2007-01-24 Impact factor: 9.461
Authors: Nedal H Arar; Barry I Freedman; Sharon G Adler; Sudha K Iyengar; Emily Y Chew; Mathew D Davis; Scott G Satko; Donald W Bowden; Ravi Duggirala; Robert C Elston; Xiuxing Guo; Robert L Hanson; Robert P Igo; Eli Ipp; Paul L Kimmel; William C Knowler; Julio Molineros; Robert G Nelson; Madeleine V Pahl; Shannon R E Quade; Rebekah S Rasooly; Jerome I Rotter; Mohammed F Saad; Marina Scavini; Jeffrey R Schelling; John R Sedor; Vallabh O Shah; Philip G Zager; Hanna E Abboud Journal: Invest Ophthalmol Vis Sci Date: 2008-09 Impact factor: 4.799
Authors: Helen C Looker; Robert G Nelson; Emily Chew; Ronald Klein; Barbara E K Klein; William C Knowler; Robert L Hanson Journal: Diabetes Date: 2007-04 Impact factor: 9.461