2017
DOI: 10.1111/cts.12522
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Genome‐wide and Phenome‐wide Approaches to Understand Variable Drug Actions in Electronic Health Records

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Cited by 37 publications
(25 citation statements)
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References 105 publications
(225 reference statements)
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“…Through GWASs, thousands of genetic associations have been identified. Investigating whether traits share similar genetic variants may shed new light on biological processes and may have important therapeutic implications, such as drug repositioning (29,30). For our study, the top SNPs associated with macular thickness are also related to other ocular traits, including glaucoma, AMD, myopia, axial length and optic nerve head measurements.…”
Section: Discussionmentioning
confidence: 97%
“…Through GWASs, thousands of genetic associations have been identified. Investigating whether traits share similar genetic variants may shed new light on biological processes and may have important therapeutic implications, such as drug repositioning (29,30). For our study, the top SNPs associated with macular thickness are also related to other ocular traits, including glaucoma, AMD, myopia, axial length and optic nerve head measurements.…”
Section: Discussionmentioning
confidence: 97%
“…N aturally occurring variants in the human genome can serve as experiments of nature to study potential drug targets. [1][2][3][4] Individuals with genetic variants detected as single-nucleotide polymorphisms (SNPs) can have profiles similar to individuals receiving a treatment. An example of a gene-drug pair is the interleukin 6 receptor (IL6R) genetic variant Asp358Ala (rs2228145) and the IL6R antagonists tocilizumab and sarilumab.…”
mentioning
confidence: 99%
“…Very recently a new genotype-to-phenotype approach known as phenome-wide association study (PheWAS) has been developed to statistically estimate the association between single-nucleotide polymorphisms and many different phenotypes. 300 This approach is not a substitution of phenotype-to-genotype GWAS approach, but could work complement GWAS as a reliable tools to advance personalized Medicine [300][301][302] This PheWAS approach has re-validatedprior-known genetic variants and diabetes associations, 303 and appears to have application in understanding the complexities of many polygenic disorders. 300 Through this auxiliary PheWAS approach, further crucial steps in personalized diabetes could be achieved.…”
Section: Phenome-wide Association Studiesmentioning
confidence: 99%