Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium.
| Autor: | Shefali Setia Verma, Jessica N Cooke Bailey, Anastasia Lucas, Yuki Bradford, James G Linneman, Michael A Hauser, Louis R Pasquale, Peggy L Peissig, Murray H Brilliant, Catherine A McCarty, Jonathan L Haines, Janey L Wiggs, Tamara R Vrabec, Gerard Tromp, Marylyn D Ritchie, eMERGE Network, NEIGHBOR Consortium |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | PLoS Genetics, Vol 12, Iss 9, p e1006186 (2016) |
| Druh dokumentu: | article |
| ISSN: | 1553-7390 1553-7404 |
| DOI: | 10.1371/journal.pgen.1006186 |
| Popis: | Primary open angle glaucoma (POAG) is a complex disease and is one of the major leading causes of blindness worldwide. Genome-wide association studies have successfully identified several common variants associated with glaucoma; however, most of these variants only explain a small proportion of the genetic risk. Apart from the standard approach to identify main effects of variants across the genome, it is believed that gene-gene interactions can help elucidate part of the missing heritability by allowing for the test of interactions between genetic variants to mimic the complex nature of biology. To explain the etiology of glaucoma, we first performed a genome-wide association study (GWAS) on glaucoma case-control samples obtained from electronic medical records (EMR) to establish the utility of EMR data in detecting non-spurious and relevant associations; this analysis was aimed at confirming already known associations with glaucoma and validating the EMR derived glaucoma phenotype. Our findings from GWAS suggest consistent evidence of several known associations in POAG. We then performed an interaction analysis for variants found to be marginally associated with glaucoma (SNPs with main effect p-value |
| Databáze: | Directory of Open Access Journals |
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