Megjegyzés: Abstracts of the World Congress of Psychiatric Genetics (WCPG), October 19-23, 2025

Megjegyzés: Funding Agency and Grant Number: Hungarian National Research, Development, and Innovation Office [K 139330, PD 146014, PD 134449]; Hungarian Brain Research Program 3.0 [NAP2022-I-4/2022]; Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund [TKP2021-EGA-25, TKP2021-EGA-02]; European Union [RRF-2.3.1-21-2022-00004]; Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences; Academy of Finland [ERAPERMED2019-108]; Catalan Department of Health [ERAPERMED2019-108, SLD002/19/000002];  [2019-2.1.7-ERA-NET-2020-00005];  [OTKA K 143391];  [EKOP-2024-68]
            Funding text: This study was supported by the Hungarian National Research, Development, and Innovation Office 2019-2.1.7-ERA-NET-2020-00005 under the frame of ERA PerMed (ERAPERMED2019-108) ; by the Hungarian National Research, Development, and Innovation Office OTKA K 143391, K 139330, PD 146014, and PD 134449 grants; by the Hungarian Brain Research Program 3.0 (NAP2022-I-4/2022) ; and by TKP2021-EGA-25 and TKP2021-EGA-02, supported by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, under the TKP2021-EGA funding scheme; and the European Union project [RRF-2.3.1-21-2022-00004] within the framework of the Artificial Intelligence National Laboratory. Dora Torok is supported by EKOP-2024-68. Nora Eszlari is supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. The study was funded by the Academy of Finland under the frame of ERA PerMed (TRAJECTOME project, ERAPERMED2019-108) . The Catalan cohort was extracted from the Catalan Health Surveillance System database, owned and managed by the Catalan Health Service, with the earnest collaboration of the Digitalization for the Sustainability of the Healthcare (DS3) -IDIBELL group. The study was supported by the Catalan Department of Health (SLD002/19/000002) under the frame of ERA PerMed (ERAPERMED2019-108) .

Megjegyzés: Project no. 2024-2.1.1-EKOP financed under the EKÖP-24-3-BME-60 funding scheme, also supported by the Doctoral Excellence Fellowship Programme (DCEP), is funded by the
National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics, under a grant agreement with the National Research, Development and Innovation Office. This research was also funded by the J. Heim Student Scholarship, the OTKA K139330, the European Union (EU) Joint Program on Neurodegenerative Disease (JPND) Grant: (SOLID JPND2021-650-233), the National Research, Development, and Innovation Fund of Hungary under Grant
TKP2021-EGA-02, the European Union project RRF-2.3.1-21-2022-00004 within the framework of the Artificial Intelligence National Laboratory.

Megjegyzés: PROJECT NO. 2024-2.1.2-EKOP-KDP-2024-00005 HAS BEEN IMPLEMENTED WITH THE SUPPORT PROVIDED BY THE MINISTRY OF CULTURE AND INNOVATION OF HUNGARY FROM THE NATIONAL RESEARCH, DEVELOPMENT AND INNOVATION FUND, FINANCED UNDER THE EKÖP_KDP-24-1-BME-15 FUNDING SCHEME.

Megjegyzés: Funding Agency and Grant Number: Budapest University of Technology and Economics [2024-2.1.2-EKOEP-KDP-2024-00005]; Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund [EKOEP\_KDP-24-1-BME-15]; National Research, Development, and Innovation Fund of Hungary [OTKA-K139330, TKP2021-EGA-02]; European Union [RRF-2.3.1-21-2022-00004, CELSA/23/014 - AGI4AGING]
            Funding text: Open access funding provided by Budapest University of Technology and Economics. Project no. 2024-2.1.2-EKOEP-KDP-2024-00005 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the EKOEP\_KDP-24-1-BME-15 funding scheme. This research was also funded by the National Research, Development, and Innovation Fund of Hungary under Grant OTKA-K139330, TKP2021-EGA-02, and the European Union project RRF-2.3.1-21-2022-00004 within the framework of the Artificial Intelligence National Laboratory and CELSA RESEARCH FUND: CELSA/23/014 - AGI4AGING.

Megjegyzés: Funding Agency and Grant Number: European Union (EU) Joint Program on Neurodegenerative Disease (JPND) [SOLID JPND2021-650-233, ENG 179033, ANR-21-JPW2-0004-05]; SJS (National Health and Medical Research Council (NHMRC) [2014629]; Australian Government Research Training Program Scholarships; Chaire d'excellence Region Nouvelle Aquitaine [13059720-13062120]; ANR [ANR-23-CE14-0056]; Bundesministerium fr Bildung und For-schung (BMBF) [01ED2207]; RMIT University; NHMRC [NHMRC-2019196]; Australian Research Council [DP230101331]
            Funding text: This project was supported by funding from the European Union (EU) Joint Program on Neurodegenerative Disease (JPND) Grant: (SOLID JPND2021-650-233) to PA, FC (Canadian Institutes of Health Research (CIHR) , ENG 179033) , AK, SL (ANR-21-JPW2-0004-05) , CR, LS (National Health and Medical Research Council (NHMRC) -2014629) , SJS (National Health and Medical Research Council (NHMRC) -2014629) . The team is also supported by an Australian Government Research Training Program Scholarships to PHS; the Chaire d'excellence Region Nouvelle Aquitaine ExoMarquAge (13059720-13062120) and GPR Brain_2030 NeuroDegen to JCD and NeuroFood to SL; an ANR to JCD (ANR-23-CE14-0056) ; a Bundesministerium fuer Bildung und For-schung (BMBF) , grant to CR (01ED2207) ; an RMIT University Vice Chancellor's Ph.D Scholarship to MS; an NHMRC Ideas Grant (NHMRC-2019196) and an Australian Research Council Discovery Project (ARC; DP230101331) to SJS.