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- W2000549923 abstract "<h3>Abstract</h3> Genetic interactions have been reported to underlie phenotypes in a variety of systems, but the extent to which they contribute to complex disease in humans remains unclear. In principle, genome-wide association studies (GWAS) provide a platform for detecting genetic interactions, but existing methods for identifying them from GWAS data tend to focus on testing individual locus pairs, which undermines statistical power. Importantly, the global genetic networks mapped for a model eukaryotic organism revealed that genetic interactions often connect genes between compensatory functional modules in a highly coherent manner. Taking advantage of this expected structure, we developed a computational approach called BridGE that identifies pathways connected by genetic interactions from GWAS data. Applying BridGE broadly, we discovered significant interactions in Parkinson’s disease, schizophrenia, hypertension, prostate cancer, breast cancer, and type 2 diabetes. Our novel approach provides a general framework for mapping complex genetic networks underlying human disease from genome-wide genotype data." @default.
- W2000549923 created "2016-06-24" @default.
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- W2000549923 date "1999-08-01" @default.
- W2000549923 modified "2023-09-27" @default.
- W2000549923 title "Ganglion cell death in glaucoma: what do we really know?" @default.
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- W2000549923 doi "https://doi.org/10.1136/bjo.83.8.980" @default.
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