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Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci
PURPOSE: Cataract is the leading cause of blindness in the world, and in the United States accounts for approximately 60% of Medicare costs related to vision. The purpose of this study was to identify genetic markers for age-related cataract through a genome-wide association study (GWAS). METHODS: I...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Vision
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168835/ https://www.ncbi.nlm.nih.gov/pubmed/25352737 |
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author | Ritchie, Marylyn D. Verma, Shefali S. Hall, Molly A. Goodloe, Robert J. Berg, Richard L. Carrell, Dave S. Carlson, Christopher S. Chen, Lin Crosslin, David R. Denny, Joshua C. Jarvik, Gail Li, Rongling Linneman, James G. Pathak, Jyoti Peissig, Peggy Rasmussen, Luke V. Ramirez, Andrea H. Wang, Xiaoming Wilke, Russell A. Wolf, Wendy A. Torstenson, Eric S. Turner, Stephen D. McCarty, Catherine A. |
author_facet | Ritchie, Marylyn D. Verma, Shefali S. Hall, Molly A. Goodloe, Robert J. Berg, Richard L. Carrell, Dave S. Carlson, Christopher S. Chen, Lin Crosslin, David R. Denny, Joshua C. Jarvik, Gail Li, Rongling Linneman, James G. Pathak, Jyoti Peissig, Peggy Rasmussen, Luke V. Ramirez, Andrea H. Wang, Xiaoming Wilke, Russell A. Wolf, Wendy A. Torstenson, Eric S. Turner, Stephen D. McCarty, Catherine A. |
author_sort | Ritchie, Marylyn D. |
collection | PubMed |
description | PURPOSE: Cataract is the leading cause of blindness in the world, and in the United States accounts for approximately 60% of Medicare costs related to vision. The purpose of this study was to identify genetic markers for age-related cataract through a genome-wide association study (GWAS). METHODS: In the electronic medical records and genomics (eMERGE) network, we ran an electronic phenotyping algorithm on individuals in each of five sites with electronic medical records linked to DNA biobanks. We performed a GWAS using 530,101 SNPs from the Illumina 660W-Quad in a total of 7,397 individuals (5,503 cases and 1,894 controls). We also performed an age-at-diagnosis case-only analysis. RESULTS: We identified several statistically significant associations with age-related cataract (45 SNPs) as well as age at diagnosis (44 SNPs). The 45 SNPs associated with cataract at p<1×10(−5) are in several interesting genes, including ALDOB, MAP3K1, and MEF2C. All have potential biologic relationships with cataracts. CONCLUSIONS: This is the first genome-wide association study of age-related cataract, and several regions of interest have been identified. The eMERGE network has pioneered the exploration of genomic associations in biobanks linked to electronic health records, and this study is another example of the utility of such resources. Explorations of age-related cataract including validation and replication of the association results identified herein are needed in future studies. |
format | Online Article Text |
id | pubmed-4168835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Molecular Vision |
record_format | MEDLINE/PubMed |
spelling | pubmed-41688352014-10-28 Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci Ritchie, Marylyn D. Verma, Shefali S. Hall, Molly A. Goodloe, Robert J. Berg, Richard L. Carrell, Dave S. Carlson, Christopher S. Chen, Lin Crosslin, David R. Denny, Joshua C. Jarvik, Gail Li, Rongling Linneman, James G. Pathak, Jyoti Peissig, Peggy Rasmussen, Luke V. Ramirez, Andrea H. Wang, Xiaoming Wilke, Russell A. Wolf, Wendy A. Torstenson, Eric S. Turner, Stephen D. McCarty, Catherine A. Mol Vis Research Article PURPOSE: Cataract is the leading cause of blindness in the world, and in the United States accounts for approximately 60% of Medicare costs related to vision. The purpose of this study was to identify genetic markers for age-related cataract through a genome-wide association study (GWAS). METHODS: In the electronic medical records and genomics (eMERGE) network, we ran an electronic phenotyping algorithm on individuals in each of five sites with electronic medical records linked to DNA biobanks. We performed a GWAS using 530,101 SNPs from the Illumina 660W-Quad in a total of 7,397 individuals (5,503 cases and 1,894 controls). We also performed an age-at-diagnosis case-only analysis. RESULTS: We identified several statistically significant associations with age-related cataract (45 SNPs) as well as age at diagnosis (44 SNPs). The 45 SNPs associated with cataract at p<1×10(−5) are in several interesting genes, including ALDOB, MAP3K1, and MEF2C. All have potential biologic relationships with cataracts. CONCLUSIONS: This is the first genome-wide association study of age-related cataract, and several regions of interest have been identified. The eMERGE network has pioneered the exploration of genomic associations in biobanks linked to electronic health records, and this study is another example of the utility of such resources. Explorations of age-related cataract including validation and replication of the association results identified herein are needed in future studies. Molecular Vision 2014-09-19 /pmc/articles/PMC4168835/ /pubmed/25352737 Text en Copyright © 2014 Molecular Vision. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, used for non-commercial purposes, and is not altered or transformed. |
spellingShingle | Research Article Ritchie, Marylyn D. Verma, Shefali S. Hall, Molly A. Goodloe, Robert J. Berg, Richard L. Carrell, Dave S. Carlson, Christopher S. Chen, Lin Crosslin, David R. Denny, Joshua C. Jarvik, Gail Li, Rongling Linneman, James G. Pathak, Jyoti Peissig, Peggy Rasmussen, Luke V. Ramirez, Andrea H. Wang, Xiaoming Wilke, Russell A. Wolf, Wendy A. Torstenson, Eric S. Turner, Stephen D. McCarty, Catherine A. Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci |
title | Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci |
title_full | Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci |
title_fullStr | Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci |
title_full_unstemmed | Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci |
title_short | Electronic medical records and genomics (eMERGE) network exploration in cataract: Several new potential susceptibility loci |
title_sort | electronic medical records and genomics (emerge) network exploration in cataract: several new potential susceptibility loci |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168835/ https://www.ncbi.nlm.nih.gov/pubmed/25352737 |
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