TY - JOUR
T1 - Biological insights into schizophrenia from ancestrally diverse populations
AU - VA Million Veteran Program (MVP)
AU - Project Among African-Americans to Explore Risks for Schizophrenia (PAARTNERS)
AU - Consortium on the Genomics of Schizophrenia (COGS)
AU - Genomic Psychiatry Cohort (GPC) Investigators
AU - PsychAD Consortium
AU - VA Cooperative Studies Program (CSP) #572
AU - Bigdeli, Tim B.
AU - Chatzinakos, Chris
AU - Bendl, Jaroslav
AU - Barr, Peter B.
AU - Venkatesh, Sanan
AU - Gorman, Bryan R.
AU - Clarence, Tereza
AU - Genovese, Giulio
AU - Iyegbe, Conrad O.
AU - Peterson, Roseann E.
AU - Kolokotronis, Sergios Orestis
AU - Burstein, David
AU - Meyers, Jacquelyn L.
AU - Li, Yuli
AU - Natarajan, Sundar
AU - Francis, Michael O.
AU - Rajeevan, Nallakkandi
AU - Cheung, Kei Hoi
AU - DeLisi, Lynn E.
AU - Kosten, Thomas R.
AU - Zhao, Hongyu
AU - Achtyes, Eric
AU - Buckley, Peter F.
AU - Malaspina, Dolores
AU - Lehrer, Douglas
AU - Rapaport, Mark H.
AU - Braff, David L.
AU - Pato, Michele T.
AU - Fanous, Ayman H.
AU - Pato, Carlos N.
AU - Huang, Grant D.
AU - Muralidhar, Sumitra
AU - Gaziano, J. Michael
AU - Pyarajan, Saiju
AU - Girdhar, Kiran
AU - Lee, Donghoon
AU - Hoffman, Gabriel E.
AU - Aslan, Mihaela
AU - Fullard, John F.
AU - Voloudakis, Georgios
AU - Harvey, Philip D.
AU - Roussos, Panos
N1 - Publisher Copyright:
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2026.
PY - 2026
Y1 - 2026
N2 - Schizophrenia and related psychoses occur in all human populations, with the highest rates of diagnosis among Black individuals and those of mainly African ancestry1. Decades of research have established a highly heritable and polygenic basis for schizophrenia, which is mostly shared across populations2, 3–4. However, a recruitment bias towards European cohorts5 has led to discoveries that are poorly generalizable to African populations. This exclusion of the world’s most genetically diverse populations narrows our understanding of disease biology and risks exacerbating health disparities. Here we show that electronic health records linked with genomic data from the Million Veteran Program (MVP)6—a national research programme that looks at the effects of genes, lifestyle, military experiences and exposures on the health and wellness of veterans—enable a comprehensive assessment of schizophrenia genetics in populations of African ancestry in the USA. We identify ancestry-independent associations in African populations and expand the catalogue of implicated regions by more than 100 loci. Through statistical fine-mapping and integrative transcriptomic analyses, we refine disease-associated signals to consensus genes with convergent neurobiological functions. These findings provide a much-needed view of schizophrenia’s genetic architecture in populations of African ancestry, and offer biological insights that both extend previous work and broaden its global relevance.
AB - Schizophrenia and related psychoses occur in all human populations, with the highest rates of diagnosis among Black individuals and those of mainly African ancestry1. Decades of research have established a highly heritable and polygenic basis for schizophrenia, which is mostly shared across populations2, 3–4. However, a recruitment bias towards European cohorts5 has led to discoveries that are poorly generalizable to African populations. This exclusion of the world’s most genetically diverse populations narrows our understanding of disease biology and risks exacerbating health disparities. Here we show that electronic health records linked with genomic data from the Million Veteran Program (MVP)6—a national research programme that looks at the effects of genes, lifestyle, military experiences and exposures on the health and wellness of veterans—enable a comprehensive assessment of schizophrenia genetics in populations of African ancestry in the USA. We identify ancestry-independent associations in African populations and expand the catalogue of implicated regions by more than 100 loci. Through statistical fine-mapping and integrative transcriptomic analyses, we refine disease-associated signals to consensus genes with convergent neurobiological functions. These findings provide a much-needed view of schizophrenia’s genetic architecture in populations of African ancestry, and offer biological insights that both extend previous work and broaden its global relevance.
UR - https://www.scopus.com/pages/publications/105029473772
UR - https://www.scopus.com/pages/publications/105029473772#tab=citedBy
U2 - 10.1038/s41586-025-10000-6
DO - 10.1038/s41586-025-10000-6
M3 - Article
C2 - 41565822
AN - SCOPUS:105029473772
SN - 0028-0836
JO - Nature
JF - Nature
ER -