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Biological Insights from Schizophrenia-associated Loci in Ancestral Populations.
Bigdeli, Tim B; Chatzinakos, Chris; Bendl, Jaroslav; Barr, Peter B; Venkatesh, Sanan; Gorman, Bryan R; Clarence, Tereza; Genovese, Giulio; Iyegbe, Conrad O; Peterson, Roseann E; Kolokotronis, Sergios-Orestis; Burstein, David; Meyers, Jacquelyn L; Li, Yuli; Rajeevan, Nallakkandi; Sayward, Frederick; Cheung, Kei-Hoi; DeLisi, Lynn E; Kosten, Thomas R; Zhao, Hongyu; Achtyes, Eric; Buckley, Peter; Malaspina, Dolores; Lehrer, Douglas; Rapaport, Mark H; Braff, David L; Pato, Michele T; Fanous, Ayman H; Pato, Carlos N; Huang, Grant D; Muralidhar, Sumitra; Michael Gaziano, J; Pyarajan, Saiju; Girdhar, Kiran; Lee, Donghoon; Hoffman, Gabriel E; Aslan, Mihaela; Fullard, John F; Voloudakis, Georgios; Harvey, Philip D; Roussos, Panos.
Afiliación
  • Bigdeli TB; VA New York Harbor Healthcare System, Brooklyn, NY.
  • Chatzinakos C; Department of Psychiatry and Behavioral Sciences and SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Bendl J; Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Barr PB; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Venkatesh S; Department of Psychiatry and Behavioral Sciences and SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Gorman BR; Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Clarence T; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, NY.
  • Genovese G; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY.
  • Iyegbe CO; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NY.
  • Peterson RE; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY.
  • Kolokotronis SO; VA New York Harbor Healthcare System, Brooklyn, NY.
  • Burstein D; Department of Psychiatry and Behavioral Sciences and SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Meyers JL; Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Li Y; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Rajeevan N; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, NY.
  • Sayward F; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY.
  • Cheung KH; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NY.
  • DeLisi LE; Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, NY.
  • Kosten TR; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY.
  • Zhao H; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NY.
  • Achtyes E; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY.
  • Buckley P; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Malaspina D; Harvard Medical School, Boston, MA.
  • Lehrer D; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NY.
  • Rapaport MH; VA New York Harbor Healthcare System, Brooklyn, NY.
  • Braff DL; Department of Psychiatry and Behavioral Sciences and SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Pato MT; Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Fanous AH; Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Pato CN; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Huang GD; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY.
  • Muralidhar S; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, NY.
  • Michael Gaziano J; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY.
  • Pyarajan S; Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY, USA.
  • Girdhar K; Mental Illness Research, Education and Clinical Center VISN2, James J. Peters VA Medical Center, Bronx, NY, USA.
  • Lee D; Department of Psychiatry and Behavioral Sciences and SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Hoffman GE; Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Aslan M; Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY.
  • Fullard JF; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT.
  • Voloudakis G; Yale University School of Medicine, New Haven, CT.
  • Harvey PD; Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT.
  • Roussos P; Yale University School of Medicine, New Haven, CT.
medRxiv ; 2024 Aug 28.
Article en En | MEDLINE | ID: mdl-39252912
ABSTRACT
Large-scale genome-wide association studies of schizophrenia have uncovered hundreds of associated loci but with extremely limited representation of African diaspora populations. We surveyed electronic health records of 200,000 individuals of African ancestry in the Million Veteran and All of Us Research Programs, and, coupled with genotype-level data from four case-control studies, realized a combined sample size of 13,012 affected and 54,266 unaffected persons. Three genome-wide significant signals - near PLXNA4, PMAIP1, and TRPA1 - are the first to be independently identified in populations of predominantly African ancestry. Joint analyses of African, European, and East Asian ancestries across 86,981 cases and 303,771 controls, yielded 376 distinct autosomal loci, which were refined to 708 putatively causal variants via multi-ancestry fine-mapping. Utilizing single-cell functional genomic data from human brain tissue and two complementary approaches, transcriptome-wide association studies and enhancer-promoter contact mapping, we identified a consensus set of 94 genes across ancestries and pinpointed the specific cell types in which they act. We identified reproducible associations of schizophrenia polygenic risk scores with schizophrenia diagnoses and a range of other mental and physical health problems. Our study addresses a longstanding gap in the generalizability of research findings for schizophrenia across ancestral populations, underlining shared biological underpinnings of schizophrenia across global populations in the presence of broadly divergent risk allele frequencies.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos