Phenotype harmonization and analysis for The Populations Underrepresented in Mental illness Association Studies (the PUMAS Project).
Journal: medRxiv : the preprint server for health sciences
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Affiliated Institutions:
Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Brain and Mind Institute, Aga Khan University, Nairobi, Kenya.
Analytic and Translational Genetics Unit, Massachusetts General Hospital Research Institute, Richard B. Simches Research Building, Boston, USA.
Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
Robert Wood Johnson Medical School, Rutgers University, New Brunswick, USA.
Center for Psychiatric Health and Genomics, Rutgers University, New Brunswick, USA.
Universidade do Estado do Para, Belém, Brazil.
Federal University of São Paulo - UNIFESP, Department of Psychiatry, São Paulo, Brazil.
Department of Psychiatry, University of Oxford, Oxford, UK.
Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
Department of Psychiatry, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Research Group in Psychiatry (GIPSI), Department of Psychiatry, School of Medicine, Universidad de Antioquia, Medellin, Colombia.
Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.
Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, USA.
Universidade Federal da Bahia (UFBA), Salvador, Brazil.
Department of Mental Health and Behavioural Sciences, School of Medicine, Moi University College of Health Sciences, Eldoret, Kenya.
Disciplina de Biologia Molecular, Departamento de Psiquiatria, Universidade Federal de São Paulo, São Paulo, Brazil.
Pax Instituto de Psiquiatria, Goiânia, Brazil.
Department of Mental Health and Human Behavior, Universidad de Caldas, Manizales, Colombia.
Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Hospital de Saúde Mental Professor Frota Pinto (HSMM), Fortaleza, Brazil.
CEMIC Mental Health Clinic, Cartagena, Colombia.
Laboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo, São Paulo, Brazil.
Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya.
Neurosciences Unit, Clinical Department, KEMRI-Wellcome Trust Research Programme-Coast, Kilifi, Kenya.
Executive Dean's Office, Faculty of Health Sciences, Nelson Mandela University, Gqebera, South Africa.
Department of Psychiatry and Behavioral Sciences, UCSF School of Medicine, UCSF Weill Institute for Neurosciences, San Francisco, USA.
Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, USA.
Abstract summary
The Populations Underrepresented in Mental illness Association Studies (PUMAS) project is attempting to remediate the historical underrepresentation of African and Latin American populations in psychiatric genetics through large-scale genetic association studies of individuals diagnosed with a serious mental illness [SMI, including schizophrenia (SCZ), schizoaffective disorder (SZA) bipolar disorder (BP), and severe major depressive disorder (MDD)] and matched controls. Given growing evidence indicating substantial symptomatic and genetic overlap between these diagnoses, we sought to enable transdiagnostic genetic analyses of PUMAS data by conducting phenotype alignment and harmonization for 89,320 participants (48,165 cases and 41,155 controls) from four cohorts, each of which used different ascertainment and assessment methods: PAISA n=9,105; PUMAS-LATAM n=14,638; NGAP n=42,953 and GPC n=22,624. As we describe here, these efforts have yielded harmonized datasets enabling us to analyze PUMAS genetic variation data at three levels: SMI overall, diagnoses, and individual symptoms.In aligning item-level phenotypes obtained from 14 different clinical instruments, we incorporated content, branching nature, and time frame for each phenotype; standardized diagnoses; and selected 19 core SMI item-level phenotypes for analyses. The harmonization was evaluated in PUMAS cases using multiple correspondence analysis (MCA), co-occurrence analyses, and item-level endorsement.We mapped >6,895 item-level phenotypes in the aggregated PUMAS data, in which SCZ (44.97%) and severe BP (BP-I, 31.53%) were the most common diagnoses. Twelve of the 19 core item-level phenotypes occurred at frequencies of > 10% across all diagnoses, indicating their potential utility for transdiagnostic genetic analyses. MCA of the 14 phenotypes that were present for all cohorts revealed consistency across cohorts, and placed MDD and SCZ into separate clusters, while other diagnoses showed no significant phenotypic clustering.Our alignment strategy effectively aggregated extensive phenotypic data obtained using diverse assessment tools. The MCA yielded dimensional scores which we will use for genetic analyses along with the item level phenotypes. After successful harmonization, residual phenotypic heterogeneity between cohorts reflects differences in branching structure of diagnostic instruments, recruitment strategies, and symptom interpretation (due to cultural variation).
Authors & Co-authors:
Ramirez-Diaz Ana M AM
Diaz-Zuluaga Ana M AM
Stroud Rocky E RE
Vreeker Annabel A
Bitta Mary M
Ivankovic Franjo F
Wootton Olivia O
Whiteman Cole A CA
Mountcastle Hayden H
Jha Shaili C SC
Georgakopoulos Penelope P
Kaur Ishpreet I
Mena Laura L
Asaaf Sandi S
de Souza Rodrigues André Luiz AL
Ziebold Carolina C
Newton Charles R J C CRJC
Stein Dan J DJ
Akena Dickens D
Valencia-Echeverry Johanna J
Kyebuzibwa Joseph J
Palacio-Ortiz Juan D JD
McMahon Justin J
Ongeri Linnet L
Chibnik Lori B LB
Quarantini Lucas C LC
Atwoli Lukoye L
Santoro Marcos L ML
Baker Mark M
Diniz Mateus J A MJA
Castaño-Ramirez Mauricio M
Alemayehu Melkam M
Holanda Nayana N
Ayola-Serrano Nohora C NC
Lorencetti Pedro G PG
Mwema Rehema M RM
James Roxanne R
Albuquerque Saulo S
Sharma Shivangi S
Chapman Sinéad B SB
Belangero Sintia I SI
Teferra Solomon S
Gichuru Stella S
Service Susan K SK
Kariuki Symon M SM
Freitas Thiago H TH
Zingela Zukiswa Z
Gadelha Ary A
Bearden Carrie E CE
Ophoff Roel A RA
Neale Benjamin M BM
Martin Alicia R AR
Koenen Karestan C KC
Pato Carlos N CN
Lopez-Jaramillo Carlos C
Reus Victor V
Freimer Nelson N
Pato Michele T MT
Gelaye Bizu B
Loohuis Loes Olde LO
Study Outcome
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