Deleterious coding variation associated with autism is shared across ancestries
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Details
- Title
- Deleterious coding variation associated with autism is shared across ancestries
- Creators
- Marina Natividad Avila - Icahn School of Medicine at Mount SinaiSeulgi Jung - Allen Institute for Brain ScienceF Kyle Satterstrom - Massachusetts General HospitalJack M Fu - Broad InstituteTess Levy - Icahn School of Medicine at Mount SinaiLaura G Sloofman - Icahn School of Medicine at Mount SinaiLambertus Klei - University of PittsburghThariana Pichardo - Icahn School of Medicine at Mount SinaiDalia Marquez - Icahn School of Medicine at Mount SinaiChristine R Stevens - Massachusetts General HospitalCaroline M Cusick - Broad InstituteJennifer L Ames - Kaiser PermanenteGabriele S Campos - Universidade de São PauloHilda Cerros - Kaiser PermanenteRoberto Chaskel - Universidad de Los AndesClaudia I S Costa - Universidade de BrasíliaMichael L Cuccaro - University of MiamiAndrea Del Pilar Lopez - Facultad de Medicina, Universidad de los Andes, Bogotá, ColombiaMagdalena Fernandez - Instituto Neurológico de ColombiaEugenio Ferro - Instituto Neurológico de ColombiaLiliana Galeano - Universidad de Los AndesAna Cristina D E S Girardi - Universidade de BrasíliaAnthony J Griswold - University of MiamiLuis C Hernandez - Universidad de Los AndesNaila Lourenço - Universidade de São PauloYunin Ludena - University of California, DavisDiana Núñez-Ríos - VA Connecticut Healthcare SystemRosa Oyama - Centro Ann Sullivan del Peru, Lima, PeruKatherine P Peña - Universidad de Los AndesIsaac Pessah - University of California, DavisRebecca Schmidt - University of California, DavisHolly M Sweeney - Covance (United States)Lizbeth Tolentino - Centro Ann Sullivan del Peru, Lima, PeruJaqueline Y T Wang - Universidade de BrasíliaLilia Albores-Gallo - Universidad Nacional Autónoma de MéxicoLisa A Croen - Kaiser PermanenteCarlos S Cruz-Fuentes - Instituto Nacional de Psiquiatría Ramón de la Fuente MuñizIrva Hertz-Picciotto - University of California, DavisAlexander Kolevzon - Icahn School of Medicine at Mount SinaiMaria Claudia Lattig - Universidad de Los AndesLiliana Mayo - Centro Ann Sullivan del Peru, Lima, PeruMaria Rita Passos-Bueno - Universidade de BrasíliaMargaret A Pericak-Vance - University of MiamiPaige M Siper - Icahn School of Medicine at Mount SinaiFlora Tassone - University of California, DavisM Pilar Trelles - Boston Children's HospitalMichael E Talkowski - Broad InstituteMark J Daly - Broad InstituteBehrang Mahjani - Icahn School of Medicine at Mount SinaiSilvia De Rubeis - Icahn School of Medicine at Mount SinaiEdwin H Cook - University of Illinois ChicagoKathryn Roeder - Carnegie Mellon UniversityCatalina Betancur - Centre National de la Recherche ScientifiqueBernie Devlin - University of PittsburghJoseph D Buxbaum - Allen Institute for Brain ScienceGALA Consortium
- Publication Details
- Nature medicine
- Publisher
- NATURE PORTFOLIO; BERLIN
- Number of pages
- 29
- Grant note
- National Institutes of Health: MH128813 SWT and Seaver Foundations: MH128813, MH129724, MH129722, MH129725, MH129751, MH100233, MH111661 Clinical and Translational Science Awards: UL1TR004419 National Center for Advancing Translational Sciences Office of Research Infrastructure of the National Institutes of Health: S10OD026880, S10OD030463 EMBL-EBI Wellcome Trust: WT223718/Z/21/Z
GALA is currently supported by the National Institutes of Health (grant MH128813, J.D.B.), the Seaver Autism Center for Research and Treatment and the SWT and Seaver Foundations. GALA originated with sites from, and with support of, the ASC (MH129724, J.D.B.; MH129722, M.D.; MH129725, K.R; MH129751, S.S.; and prior ASC funding-for example, MH100233 and MH111661). ASC sites continue to support analyses of GALA studies, with additional analyses supported by MH128813. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. This work was supported in part through the computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by Clinical and Translational Science Awards grant UL1TR004419 from the National Center for Advancing Translational Sciences. Research reported in this paper was also supported by the Office of Research Infrastructure of the National Institutes of Health under award numbers S10OD026880 and S10OD030463. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This study makes use of data generated by the DECIPHER community. A full list of centers that contributed to the generation of the data is available from https://deciphergenomics.org/about/stats and via email from contact@deciphergenomics.org. DECIPHER is hosted by the EMBL-EBI, and funding for the DECIPHER project was provided by the Wellcome Trust (grant no. WT223718/Z/21/Z).
- Academic Unit
- Miller School of Medicine; UMMG Dept of Human Genetics (Dr. John T. Macdonald Foundation); UMMG Department of Pathology
- Language
- English
- Resource Type
- Journal article
- PMID
- 41912808
- Record Identifier
- 991033050794202976