Hostname: page-component-76fb5796d-dfsvx Total loading time: 0 Render date: 2024-04-27T18:32:48.403Z Has data issue: false hasContentIssue false

338 The Alabama Genomic Health Initiative: Integrating Genomic Medicine into Primary Care

Published online by Cambridge University Press:  24 April 2023

Nita A Limdi
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Devin Absher
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Irf Asif
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Lori Bateman
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Greg Barsh
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Kevin M. Bowling
Affiliation:
Tuskegee University, Tuskegee, AL, 3Washington University, St. Louis, MO.
Gregory M. Cooper
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Brittney H. Davis
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Kelly M. East
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Candice R. Finnila
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Blake Goff
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Susan Hiatt
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Melissa Kelly
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Whitley V. Kelley
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Bruce R. Korf
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Donald R. Latner
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
James Lawlor
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Thomas May
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Matt Might
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Irene P. Moss
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Mariko Nakano-Okuno
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Tiffany Osborne
Affiliation:
University of Alabama at Birmingham, Birmingham, AL
Stephen Sodeke
Affiliation:
Tuskegee University, Tuskegee, AL, 3Washington University, St. Louis, MO.
Adriana Stout
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Michelle L. Thompson
Affiliation:
HudsonAlpha Institute for Biotechnology, Huntsville, AL
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

OBJECTIVES/GOALS: Supported by the State of Alabama, the Alabama Genomic Health Initiative (AGHI) is aimed at preventing and treating common conditions with a genetic basis. This joint UAB Medicine-HudsonAlpha Institute for Biotechnology effort provides genomic testing, interpretation, and counseling free of charge to residents in each of Alabama’s 67 counties. METHODS/STUDY POPULATION: Launched in 2017, as a state-wide population cohort, AGHI (1.0) enrolled 6,331 Alabamians and returned individual risk of disease(s) related to the ACMG SF v2.0 medically actionable genes. In 2021, the cohort was expanded to include a primary care cohort. AGHI (2.0) has enrolled 750 primary care patients, returning individual risk of disease(s) related to the ACMG SF v3.1 gene list and pre-emptive pharmacogenetics (PGx) to guide medication therapy. Genotyping is done on the Illumina Global Diversity Array with Sanger sequencing to confirm likely pathogenic / pathogenic variants in medically actionable genes and CYP2D6 copy number variants using Taqman assays, resulting in a CLIA-grade report. Disease risk results are returned by genetic counselors and Pharmacogenetics results are returned by Pharmacists. RESULTS/ANTICIPATED RESULTS: We have engaged a statewide community (>7000 participants), returning 94 disease risk genetic reports and 500 PGx reports. Disease risk reports include increased predisposition to cancers (n=38), cardiac diseases (n=33), metabolic (n=12), other (n=11). 100% of participants harbor an actionable PGx variant, 70% are on medication with PGx guidance, 48% harbor PGx variants and are taking medications affected. In 10% of participants, pharmacists sent an active alert to the provider to consider/ recommend alternative medication. Most commonly impacted medications included antidepressants, NSAIDS, proton-pump inhibitors and tramadol. To enable the EMR integration of genomic information, we have developed an automated transfer of reports into the EMR with Genetics Reports and PGx reports viewable in Cerner. DISCUSSION/SIGNIFICANCE: We share our experience on pre-emptive implementation of genetic risk and pharmacogenetic actionability at a population and clinic level. Both patients and providers are actively engaged, providing feedback to refine the return of results. Real time alerts with guidance at the time of prescription are needed to ensure future actionability and value.

Type
Precision Medicine/Health
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2023. The Association for Clinical and Translational Science