Prechter Bipolar Research Program
Faculty Meeting 2019
Prechter Bipolar Research Program Faculty Meeting 2019 Prechter - - PowerPoint PPT Presentation
Prechter Bipolar Research Program Faculty Meeting 2019 Prechter Faculty Meeting: Agenda Introductions Overview of Prechter Program Overview and vision of Precision Health Three base questions engagement /personal reviews /
Faculty Meeting 2019
reviews / priorities
Research Program is to discover the mechanisms that contribute to bipolar disorder, predict and improve outcomes, and develop effective, innovative treatments.
evidence‐based treatments for bipolar disorder will enable every individual with the illness to lead a healthy and productive life.
The Odds Ratios for each locus: modest (1.15)
programs
Heinz C Prechter 1942 – 2001
Clinic University Community
Eligibility Screening Ineligible Eligible Initial Visit
DIGS Interview
Neuropsychological Testing
Blood for Genetics & Biomarkers Questionnaires
Follow-up
Year 1: Neuropsychological Testing Year 3: Phone check in Year 2: LIFE Interview Questionnaires every 2 months Clinic University Community
Eligibility Screening Ineligible Eligible Initial Visit
DIGS Interview
Neuropsychological Testing
Blood for Genetics & Biomarkers Questionnaires
Follow-up
Year 1: Neuropsychological Testing Year 3: Phone check in Year 2: LIFE Interview Questionnaires every 2 months
– Predictive Modeling
– Active engagement
– 75% retention Entering Year 14
Identify mechanisms & predictive outcomes patterns in bipolar disorder January 2019 Total Enrolled:1304 Current Participants: 926 (71%) Central Biorepository: 613 Prechter Bipolar Genetics Repository: 2,088 Data Sharing Agreements: 18 Peer Reviewed publications: 92
200 400 600 800 1000 1200 1400
Longitudinal Enrollment Status October 2018
Ontology: Disciplines & Pluralistic Relationship to Phenotype Class
Phenotype Classes (7) Disciplines (10)
– Disease – Neurocognitive – Temperament / Personality – Motivated Behavior – Life Story – Sleep / Circadian – Outcomes
Human Volunteer Participants
substance use
pattern assessment
Dynamic Energy State Mania Depression Time
1 year Mania Depression anticipate change?
> 90 peer reviewed publications with scientists from 7 U‐M Schools
UM experts: local network
Bipolar DATA Management Systems University of Michigan ** ** ** ** ** Potential Data sources NDAR
and detail at the individual level.
Partnerships: Internal Pharmacology / Cardiology / Computer Science & Engineering Cell Developmental Biology / Life Sciences Institute / Mathematics External: Weizmann Inst., U Oslo, Lebanon, U Penn, UIC, U Wisconsin
families
UM