Distinct genetic liability profiles define clinically relevant patient strata across common diseases

Schizophrenia Working Group of the Psychiatric Genomics Consortium

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Stratified medicine holds great promise to tailor treatment to the needs of individual patients. While genetics holds great potential to aid patient stratification, it remains a major challenge to operationalize complex genetic risk factor profiles to deconstruct clinical heterogeneity. Contemporary approaches to this problem rely on polygenic risk scores (PRS), which provide only limited clinical utility and lack a clear biological foundation. To overcome these limitations, we develop the CASTom-iGEx approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue specific gene expression levels. The paradigmatic application of this approach to coronary artery disease or schizophrenia patient cohorts identified diverse strata or biotypes. These biotypes are characterized by distinct endophenotype profiles as well as clinical parameters and are fundamentally distinct from PRS based groupings. In stark contrast to the latter, the CASTom-iGEx strategy discovers biologically meaningful and clinically actionable patient subgroups, where complex genetic liabilities are not randomly distributed across individuals but rather converge onto distinct disease relevant biological processes. These results support the notion of different patient biotypes characterized by partially distinct pathomechanisms. Thus, the universally applicable approach presented here has the potential to constitute an important component of future personalized medicine paradigms.

Original languageEnglish
Article number5534
Pages (from-to)1-28
Number of pages28
JournalNature Communications
Volume15
Early online date1 Jul 2024
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Funding

FundersFunder number
Bernie Devlin
Bavarian State Ministry of Science and the Arts
Young Investigator Grant
Andrew Chess
Takeda Pharmaceuticals U.S.A.
Joseph Buxbaum
National Institute of Mental Health
National Human Genome Research Institute
University of Pennsylvania Alzheimer’s Disease Core Center
IRP NIMH
National Institute of Neurological Disorders and Stroke
National Cancer Institute
National Institute on Drug Abuse
F. Hoffmann-La Roche
British Heart Foundation
Vahram Haroutunian
Università degli Studi di Trento
National Heart, Lung, and Blood Institute
University of Pittsburgh
Icahn School of Medicine at Mount Sinai
German Centre of Cardiovascular Research
Bavarian State Ministry of Health, Care and Prevention
Dr. Lisa Oehler Foundation
National Alliance for Research on Schizophrenia and Depression
University of Pittsburgh NeuroBioBank
Era-Net Neuron
Schahram Akbarian
DigiMed BayernDMB-1805–0001
DHM-MSRM1530/891 02, SFB 1123
GWPI-BIOPSY01EW 2009, 01EW 2005
Bundesministerium für Bildung und Forschung01ZX1614K, 01EE1404H, 01ZX1504, DP3DK111898
Bundesministerium für Bildung und Forschung
Deutsches Zentrum für Herz-Kreislaufforschung81X2600522
Deutsches Zentrum für Herz-Kreislaufforschung
German Federal Ministry of Economics and Energy01ZX1904A, ZF4590201BA8
Deutsche ForschungsgemeinschaftSCHU 1603/4-1, FA241/16-1
Deutsche Forschungsgemeinschaft
European Union’s Horizon Europe research and innovation programme101057454, 01ZX1706
Foundation for Cardiovascular Research18CVD02
Foundation for Cardiovascular Research
Horizon 2020 Framework Programme945151
Horizon 2020 Framework Programme
National Institutes of HealthR01MH093725, R01MH085542, P50MH080405, AG02219, U01MH103392, RO1-MH-075916, R37MH057881, R01MH097276, AG05138, MH06692, HHSN271201300031C, P50MH066392, R01MH110921, P50MH084053S1, R01MH109677, R01MH109897, P50M096891
National Institutes of Health

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