about
New genetic findings lead the way to a better understanding of fundamental mechanisms of drug hypersensitivityThe challenges, advantages and future of phenome-wide association studiesPhenome-wide association studies on a quantitative trait: application to TPMT enzyme activity and thiopurine therapy in pharmacogenomicsSurveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal GenomicsTYK2 protein-coding variants protect against rheumatoid arthritis and autoimmunity, with no evidence of major pleiotropic effects on non-autoimmune complex traitsThe phenotypic legacy of admixture between modern humans and NeandertalsExtracting research-quality phenotypes from electronic health records to support precision medicineIntegrating EMR-linked and in vivo functional genetic data to identify new genotype-phenotype associationsINTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES.Phenome-Wide Association Studies: Leveraging Comprehensive Phenotypic and Genotypic Data for Discovery.Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studiesGenetic-based prediction of disease traits: prediction is very difficult, especially about the futurePhenome-Wide Association Studies as a Tool to Advance Precision Medicine.Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass indexBiobanking across the phenome - at the center of chronic disease researchRegulatory polymorphisms in human DBH affect peripheral gene expression and sympathetic activitySystematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study dataUse of an electronic medical record to create the marshfield clinic twin/multiple birth cohortApplication of clinical text data for phenome-wide association studies (PheWASs).The genetics of human autoimmune disease: A perspective on progress in the field and future directions.Phenome-wide association studies (PheWASs) for functional variantsIntegrating electronic health record genotype and phenotype datasets to transform patient careContrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.Identifying genetically driven clinical phenotypes using linear mixed modelsDifferential Lipid Response to Statins Is Associated With Variants in the BUD13-APOA5 Gene Region.A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects.Disorders and borders: psychiatric genetics and nosology.The detection and characterization of pleiotropy: discovery, progress, and promise.A Fast and Accurate Algorithm to Test for Binary Phenotypes and Its Application to PheWAS.Unravelling the human genome-phenome relationship using phenome-wide association studies.Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants.Relationship of SULT1A1 Copy Number Variation with Estrogen Metabolism and Human Health.Phenome-wide association study maps new diseases to the human major histocompatibility complex region.Mining the ultimate phenome repository.The Impact of Diagnostic Code Misclassification on Optimizing the Experimental Design of Genetic Association Studies.An integrative functional genomics framework for effective identification of novel regulatory variants in genome-phenome studies.Genome-wide and Phenome-wide Approaches to Understand Variable Drug Actions in Electronic Health Records.Rare variants in drug target genes contributing to complex diseases, phenome-wide.PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger.
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
A PheWAS approach in studying HLA-DRB1*1501.
@en
type
label
A PheWAS approach in studying HLA-DRB1*1501.
@en
prefLabel
A PheWAS approach in studying HLA-DRB1*1501.
@en
P2093
P2860
P356
P1433
P1476
A PheWAS approach in studying HLA-DRB1*1501.
@en
P2093
P2860
P2888
P304
P356
10.1038/GENE.2013.2
P577
2013-02-07T00:00:00Z
P6179
1044051797