The foundation of precision medicine: integration of electronic health records with genomics through basic, clinical, and translational research
出版年份 2015 全文链接
标题
The foundation of precision medicine: integration of electronic health records with genomics through basic, clinical, and translational research
作者
关键词
-
出版物
Frontiers in Genetics
Volume 6, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2015-03-18
DOI
10.3389/fgene.2015.00104
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Controlling for population structure and genotyping platform bias in the eMERGE multi-institutional biobank linked to electronic health records
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- Assessing the functional consequence of loss of function variants using electronic medical record and large-scale genomics consortium efforts
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- Imputation of TPMT defective alleles for the identification of patients with high-risk phenotypes
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- Return of results in the genomic medicine projects of the eMERGE network
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- Copy number variation analysis in the context of electronic medical records and large-scale genomics consortium efforts
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- Analysis pipeline for the epistasis search – statistical versus biological filtering
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- eMERGEing progress in genomics—the first seven years
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- Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis
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- Using previously genotyped controls in genome-wide association studies (GWAS): application to the Stroke Genetics Network (SiGN)
- (2014) Braxton D. Mitchell et al. Frontiers in Genetics
- Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index
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- Genetic-based prediction of disease traits: prediction is very difficult, especially about the futureâ€
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- Simple, standardized incorporation of genetic risk into non-genetic risk prediction tools for complex traits: coronary heart disease as an example
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- The struggle to find reliable results in exome sequencing data: filtering out Mendelian errors
- (2014) Zubin H. Patel et al. Frontiers in Genetics
- The ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study
- (2014) Iftikhar J. Kullo et al. Frontiers in Genetics
- Extension of GWAS results for lipid-related phenotypes to extreme obesity using electronic health record (EHR) data and the Metabochip
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- The Electronic Medical Records and Genomics (eMERGE) Network: past, present and future
- (2013) Omri Gottesman et al. GENETICS IN MEDICINE
- EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children
- (2013) Bahram Namjou et al. Frontiers in Genetics
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