Extensions of Multiple-Group Item Response Theory Alignment: Application to Psychiatric Phenotypes in an International Genomics Consortium
Year: 2020
Type: article
Abstract: Large-scale studies spanning diverse project sites, populations, languages, and measurements are increasingly important to relate psychological to biological variables. National and international consortia already are collecting and executing mega-analyses on aggregated data from individuals, with different measures on each person. In this research, we show that Asparouhov and Muthén's alignment method can be adapted to align data from disparate item sets and response formats. We argue that with these adaptations, the alignment method is well suited for combining data across multiple sites even when they use different measurement instruments. The approach is illustrated using data from the Whole Genome Sequencing in Psychiatric Disorders consortium and a real-data-based simulation is used to verify accurate parameter recovery. Factor alignment appears to increase precision of measurement and validity of scores with respect to external criteria. The resulting parameter estimates may further inform development of more effective and efficient methods to assess the same constructs in prospectively designed studies.
Authors: Maxwell Mansolf, Annabel Vreeker, Steven P. Reise, Nelson B. Freimer, David C. Glahn, Raquel E. Gur, Tyler M. Moore, Carlos N. Pato, Michele T. Pato, Aarno Palotie, Minna Holm, Jaana Suvisaari, Timo Partonen, Tuula Kieseppä, Tiina Paunio, Marco Boks, René Kahn, Roel A. Ophoff, Carrie E. Bearden, Loes Olde Loohuis, Terri Teshiba, Daniella deGeorge, Robert M. Bilder, GROUP Investigators
Institutions: University of California, Los Angeles, University Medical Center Utrecht, Harvard University, University of Pennsylvania, SUNY Downstate Health Sciences University, University of Helsinki, Massachusetts Institute of Technology, Finnish Institute for Health and Welfare, Icahn School of Medicine at Mount Sinai
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funders: Simons Foundation, Eli Lilly and Company, AstraZeneca, Stanley Foundation, Simons Foundation Autism Research Initiative, Universiteit Maastricht, GGZ inGeest, Rivierduinen, GGZ Friesland, GGZ Drenthe, Universitair Medisch Centrum Groningen, Universiteit Antwerpen, H. Lundbeck A/S, National Institute of Mental Health, Cilag
Awards: 1/3:Pedigree-Based Whole Genome Sequencing of Affective and Psychotic Disorders, 2/3-Whole Genome Sequencing for Schizophrenia and Bipolar Disorder in the GPC, G1815246175, 2/2 Genomic strategies to identify high-impact psychiatric risk variants, G2323104865, Genome Sequencing in Extended Bipolar Pedigrees, 3/3-Identifying regulatory mutations that influence neuropsychiatric disease, 2/3: Pedigree-Based Whole Genome Sequencing of Affective and Psychotic Disorders, G3794531413, 3/3: Pedigree-Based Whole Genome Sequencing of Affective and Psychotic Disorders, G3952712268, G4025437651, Whole Genome Sequencing for Schizophrenia and Bipolar Disorder in the GPC, G4839400924, G5026700356, G538987161, G5420957508, 4/4 The Autism Sequencing Consortium: Autism gene discovery in >20,000 exomes, G6097670113, Genomic Psychiatry Cohort, 3/3 - Whole Genome Sequencing for Schizophrenia and Bipolar Disorder in the GPC, African Ancestry Genomic Psychiatry Cohort, G7033036027, G7120751136, G7250975420, Multi-Level Assays of Working Memory and Psychopathology, 2/3-Identifying regulatory mutations that influence neuropsychiatric disease, 1/3-Identifying regulatory mutations that influence neuropsychiatric disease, 1/2 Genomic Strategies to Identify High-impact Psychiatric Risk Variants, G893547353, National Neuropsychological Network (NNN), Latino Ancestry Genomic Psychiatry Cohort, G917238495, Genetic, Imaging, and Cognition study of Positive Valence Systems in Psychotic Syndromes
OpenAlex ID: W3004469646