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The Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment (RIGHT)
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Sample details

RIGHT aimed to develop best practices for the implementation of genetic sequence data into clinical systems to improve patient outcomes. The researchers identified Mayo Clinic Biobank participants who were most likely to benefit from preemptive pharmacogenomics (PGx) testing among the Mayo Clinic Biobank participants, in the United States of America. Recruitment occurred between October 4, 2012 and March 20, 2013 and just over 1,000 participants consented and were enrolled. All participants provided a blood sample. Beginning in May 2016, the study began a targeted effort to further enroll an additional 10,000 participants, resulting in a total sample of just over 11,000 participants. The majority of the follow-up is conducted passively, via the patient’s electronic health record (EHR). Additionally, active follow-ups consisted of surveys in 2014, 2017, and 2020.

Study design
Cohort

Number of participants at first data collection

1,013 (participants)

Age at first data collection

≥ 18 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Patients and clinical populations
Dataset details

Country

United States of America

Year of first data collection

2012

Primary Institutions

Mayo Clinic

Links

mayo.edu/research/clinical-trials/cls-20316196

doi.org/10.1016/j.mayocp.2013.10.021

Profile paper DOI

doi.org/10.1093/ije/dyz123

Funders

Mayo Clinic

National Institutes of Health (NIH)

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
  • Self-report questionnaire – unspecified
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Clinical outcomes
    Drug testing
    Genetic analysis
    Genomics
    Patient care
    Pharmacogenetics
    Treatment strategies
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