Genetics of COVID-19 Risks & Resilience in Bipolar Disorder (BIPCOVID)

September 8, 2021 updated by: Medical University of Graz

Genetics of COVID-19 Risks & Resilience in Bipolar Disorder as Subproject of BIPGEN (Genetic Changes in Bipolar Disorder)

BIPGEN is a cross-sectional study on the genetics of bipolar disorder. As a subproject of BIPGEN, BIP-COVID is a cross-sectional genetics study about risks & resilience in the COVID-19 (Coronavirus disease) pandemic in bipolar disorder (BD) and healthy controls at the Medical University of Graz. Study participants with BD and controls from the well-established BIPLONG and BIPGEN studies will undergo a special BIP-COVID visit, which will include a COVID-19 specific online Lime survey about the psychological burden in the COVID-19 crisis, a COVID-19 antibody test (IgM and IgG), inflammation markers and isolation of DNA from fasting blood. Genotyping of DNA will be done with the GSA V.3 array. Genetic analyses (Polygenic Risk Scores of I. Stress or Major Depression and II. COVID-19 infection established with the programs PLINK, PRSice and R) will be used to analyze the genetic mechanisms of COVID-19 pandemic associated psychological symptoms and COVID-19 infection risk. Systems biology methods will be used to depict protective pathways against COVID-19 infection (e.g. Lithium pathways) and against COVID-19 associated psychiatric symptoms.

Study Overview

Status

Recruiting

Detailed Description

Methods: BIPGEN is a cross-sectional study on the genetics of bipolar disorder (BD). BIPGEN includes a personality questionnaire (TEMPS-A). DNA is isolated in the BIPGEN study from fasting blood with the QUIASYMPHONY robot from study participants with Bipolar Disorder (diagnosis according to DSM-IV) and healthy controls. The DNA is then genotyped with classic genotyping arrays (GWAS array). The aim of BIPGEN is to associate genetic variants (single-nucleotide-polymorphisms/ SNPs or copy-number-variations/CNVs) with bipolar affective disorder.

A subproject of BIPGEN is the BIP-COVID project, which is a cross-sectional genetics study about risks & resilience in the COVID-19 pandemic in BD and healthy controls at the Medical University of Graz. Study participants with BD and controls from the well-established BIPLONG and BIPGEN studies will undergo a special BIP-COVID visit, which will include a COVID-19 specific online Lime survey about the psychological burden in the COVID-19 crisis, a COVID-19 antibody test (IgM and IgG), inflammation markers and isolation of DNA from fasting blood. Genotyping of DNA will be done with the GSA V.3 array. Genetic analyses (Polygenic Risk Scores of I. Stress or Major Depression and II. COVID-19 infection established with the programs PLINK, PRSice and R) will be used to analyze the genetic mechanisms of COVID-19 pandemic associated psychological symptoms and COVID-19 infection risk. Systems biology methods will be used to depict protective pathways against COVID-19 infection (e.g. Lithium pathways) and against COVID-19 associated psychiatric symptoms

Aim:

  1. We aim at analyzing the neuropsychological and genetic underpinning of COVID-19 associatedreactive psychiatric symptoms in BD and in healthy controls.
  2. We aim at analyzing genetic predictors of COVID-19 infection in BD and in controls.
  3. We aim at analyzing the protective effects of the GSK-3β inhibitor lithium against COVID-19 infection.

Intervention: Cross-sectional genetics study

Key inclusion and exclusion criteria: Inclusion criteria are written consent after previous written and verbal information, diagnosis of BD according to DSM-IV and age between 18 and 75 years. Exclusion criteria include acute suicidality, lack of consent, severe active drug dependence (i.e., alcohol, benzodiazepines, morphine), other currently active severe mental / cerebral organic disease (e.g. epilepsy, brain tumor), severe skull-brain trauma / brain surgery in the past, known florid tumor disease, congenital / infantile mental retardation, dementia (from Mini-Mental State Examination (MMSE) 20), severe florid autoimmune diseases or current immunosuppression (e.g., lupus erythematosus, HIV (human immunodeficiency virus), multiple sclerosis), cardiac, renal and pulmonary disorders or PTSD (post-traumatic stress disorder) or anxiety.

Healthy controls do not have a history of mental disorder and do not have first- or second-degree relatives with psychiatric disorders.

Primary and secondary endpoint(s) of the BIPCOVID project:

The primary endpoint is PRS of stress, the secondary endpoint is PRS of COVID-19 risk.

Sample size, statistical analyses, power calculation: The program G*Power (Version 3.1) was used for the calculation of the number of cases. Linear bivariate regression analyses for two groups (BD and control cohort) will be calculated with the results from psychological/psychiatric inventories as predictors (e.g. Pittsburgh Sleep Quality Index, Mediterranean Diet Score, Resilience Scale) and the three PRS as criterion. G*Power calculates for a linear bivariate regression, with a Δ slope of 0.03, α = .05 and a power of 95 % a total sample size of 364 persons.

Trial duration of BIPCOVID: 3 years.

Participating centers: The BIP-COVID sample will be recruited as monocentric study at the special outpatient department for Bipolar Disorders (managed by Univ.Prof. Eva Reininghaus) at the Department of Psychiatry and Psychotherapeutic Medicine at the Medical University of Graz, Austria. Psychiatric genetics and bioinformatics experts from the University of Basel, the University of Marburg, the University of Bonn, the Karolinska Institutet & Medical University of Vienna & CAMH Toronto will supervise the KLIF-funded doctoral student and will support the state-of-the-art bioinformatics analyses.

Study Type

Observational

Enrollment (Anticipated)

400

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Styria
      • Graz, Styria, Austria, 8036
        • Recruiting
        • Medical University Graz
        • Contact:
        • Contact:
        • Sub-Investigator:
          • Nina Dalkner, PhD
        • Sub-Investigator:
          • Susanne Bengesser, MD, PhD, BSc
        • Principal Investigator:
          • Eva Reininghaus, MD, PhD, MBA

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Study participants with bipolar disorder and healty controls

Description

Inclusion Criteria:

  • Inclusion criteria are written consent after previous written and verbal information, diagnosis of BD according to DSM-IV and age between 18 and 75 years.

Exclusion Criteria:

Exclusion criteria include

  • acute suicidality
  • lack of consent
  • severe active drug dependence (i.e., alcohol, benzodiazepines, morphine)
  • other currently active severe mental / cerebral organic disease (e.g. epilepsy, brain tumor),
  • severe skull-brain trauma / brain surgery in the past,
  • known florid tumor disease,
  • congenital / infantile mental retardation,
  • dementia (from MMSE 20),
  • severe florid autoimmune diseases or current immunosuppression (e.g., lupus erythematosus, HIV, multiple sclerosis),
  • cardiac, renal and pulmonary disorders or PTSD or anxiety
  • Healthy controls do not have a history of mental disorder and do not have first- or second-degree relatives with psychiatric disorders.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Bipolar Disorder
100 patients after COVID-19 infection 100 patients without COVID-19 infection
Cross-sectional genetics study
Healthy controls
100 controls after COVID-19 infection 100 controls without COVID-19 infection
Cross-sectional genetics study

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
PRS of stress or depression
Time Frame: 3 Years
genetic sum score for depression (polygenic risk score)- the higher the score, the higher the risk
3 Years
PRS of COVID-19 infection
Time Frame: 3 Years
genetic sum score for COVID-19 infection (polygenic risk score)- the higher the score, the higher the risk
3 Years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2021

Primary Completion (Anticipated)

September 1, 2024

Study Completion (Anticipated)

September 30, 2024

Study Registration Dates

First Submitted

July 21, 2021

First Submitted That Met QC Criteria

July 21, 2021

First Posted (Actual)

July 22, 2021

Study Record Updates

Last Update Posted (Actual)

September 10, 2021

Last Update Submitted That Met QC Criteria

September 8, 2021

Last Verified

September 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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