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1.
BMC Genomics ; 25(1): 116, 2024 Jan 26.
Artigo em Inglês | MEDLINE | ID: mdl-38279110

RESUMO

Here we describe a new public pharmacogenetic (PGx) annotation database of a large (n = 3,202) and diverse biospecimen collection of 1000 Genomes Project cell lines and DNAs. The database is searchable with a user friendly, web-based tool ( www.coriell.org/StarAllele/Search ). This resource leverages existing whole genome sequencing data and PharmVar annotations to characterize *alleles for each biospecimen in the collection. This new tool is designed to facilitate in vitro functional characterization of *allele haplotypes and diplotypes as well as support clinical PGx assay development, validation, and implementation.


Assuntos
Bases de Dados Genéticas , Farmacogenética , Alelos , Haplótipos
2.
Clin Genet ; 91(4): 545-556, 2017 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-27322592

RESUMO

Genomic risk information for potentially actionable complex diseases and pharmacogenomics communicated through genomic counseling (GC) may motivate physicians and patients to take preventive actions. The Ohio State University-Coriell Personalized Medicine Collaborative is a randomized trial to measure the effects of in-person GC on chronic disease patients provided with multiplex results. Nine personalized genomic risk reports were provided to patients through a web portal, and to physicians via electronic medical record (EMR). Active arm participants (98, 39% female) received GC within 1 month of report viewing; control arm subjects (101, 54% female) could access counseling 3-months post-report viewing. We examined whether GC affected documentation of physician-patient communication by reviewing the first clinical note following the patient's GC visit or report upload to the EMR. Multivariable logistic regression modeling estimated the independent effect of GC on physician-patient communication, as intention to treat (ITT) and per protocol (PP), adjusted for physician educational intervention. Counselees in the active arm had more physician-patient communications than control subjects [ITT, odds ratio (OR): 3.76 (95% confidence interval (CI): 1.38-10.22, p < 0.0094); PP, OR: 5.53 (95% CI: 2.20-13.90, p = 0.0017). In conclusion, GC appreciably affected physician-patient communication following receipt of potentially actionable genomic risk information.


Assuntos
Doenças Cardiovasculares/epidemiologia , Registros Eletrônicos de Saúde , Farmacogenética , Relações Médico-Paciente , Adulto , Idoso , Idoso de 80 Anos ou mais , Doenças Cardiovasculares/tratamento farmacológico , Doenças Cardiovasculares/genética , Doenças Cardiovasculares/patologia , Comunicação , Feminino , Aconselhamento Genético , Genoma Humano , Humanos , Masculino , Pessoa de Meia-Idade , Ohio , Médicos , Medicina de Precisão , Medição de Risco
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