1
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Hoffmann MS, Moore TM, Axelrud LK, Tottenham N, Pan PM, Miguel EC, Rohde LA, Milham MP, Satterthwaite TD, Salum GA. An Evaluation of Item Harmonization Strategies Between Assessment Tools of Psychopathology in Children and Adolescents. Assessment 2024; 31:502-517. [PMID: 37042304 DOI: 10.1177/10731911231163136] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
Data aggregation in mental health is complicated by using different questionnaires, and little is known about the impact of item harmonization strategies on measurement precision. Therefore, we aimed to assess the impact of various item harmonization strategies for a target and proxy questionnaire using correlated and bifactor models. Data were obtained from the Brazilian High-Risk Study for Mental Conditions (BHRCS) and the Healthy Brain Network (HBN; N = 6,140, ages 5-22 years, 39.6% females). We tested six item-wise harmonization strategies and compared them based on several indices. The one-by-one (1:1) expert-based semantic item harmonization presented the best strategy as it was the only that resulted in scalar-invariant models for both samples and factor models. The between-questionnaires factor correlation, reliability, and factor score difference in using a proxy instead of a target measure improved little when all other harmonization strategies were compared with a completely at-random strategy. However, for bifactor models, between-questionnaire specific factor correlation increased from 0.05-0.19 (random item harmonization) to 0.43-0.60 (expert-based 1:1 semantic harmonization) in BHRCS and HBN samples, respectively. Therefore, item harmonization strategies are relevant for specific factors from bifactor models and had little impact on p-factors and first-order correlated factors when the child behavior checklist (CBCL) and strengths and difficulties questionnaire (SDQ) were harmonized.
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Affiliation(s)
- Maurício Scopel Hoffmann
- Universidade Federal de Santa Maria, Brazil
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- London School of Economics and Political Science, UK
| | | | | | | | - Pedro Mario Pan
- Universidade Federal de São Paulo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
| | - Eurípedes Constantino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
- Universidade de São Paulo, Brazil
| | - Luis Augusto Rohde
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
| | - Michael Peter Milham
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Child Mind Institute, New York, NY, USA
| | | | - Giovanni Abrahão Salum
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
- Child Mind Institute, New York, NY, USA
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Cheng C, Messerschmidt L, Bravo I, Waldbauer M, Bhavikatti R, Schenk C, Grujic V, Model T, Kubinec R, Barceló J. A General Primer for Data Harmonization. Sci Data 2024; 11:152. [PMID: 38297013 PMCID: PMC10831085 DOI: 10.1038/s41597-024-02956-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 01/11/2024] [Indexed: 02/02/2024] Open
Affiliation(s)
- Cindy Cheng
- Hochschule für Politik, Technical University of Munich, Richard-Wagner Str. 1, Munich, 80333, Bavaria, Germany.
| | - Luca Messerschmidt
- Hochschule für Politik, Technical University of Munich, Richard-Wagner Str. 1, Munich, 80333, Bavaria, Germany
| | - Isaac Bravo
- Hochschule für Politik, Technical University of Munich, Richard-Wagner Str. 1, Munich, 80333, Bavaria, Germany
| | - Marco Waldbauer
- Hochschule für Politik, Technical University of Munich, Richard-Wagner Str. 1, Munich, 80333, Bavaria, Germany
| | | | - Caress Schenk
- School of Humanities and Social Sciences, Nazarbayev University, Kabanbay Batry Ave., 53, Astana, 010000, Kazakhstan
| | - Vanja Grujic
- Faculty of Law, University of Brasilia, Campus Universitário Darcy Ribeiro Asa Norte, Brasília, 10587, Brazil
| | - Tim Model
- Delve, 2225 3rd St, San Francisco, 94107, California, USA
| | - Robert Kubinec
- Division of Social Science, New York University Abu Dhabi, Social Science Building (A5), Abu Dhabi, 129188, United Arab Emirates
| | - Joan Barceló
- Division of Social Science, New York University Abu Dhabi, Social Science Building (A5), Abu Dhabi, 129188, United Arab Emirates
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3
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Divaris K, Haworth S, Shaffer J, Anttonen V, Beck J, Furuichi Y, Holtfreter B, Jönsson D, Kocher T, Levy S, Magnusson P, McNeil D, Michaëlsson K, North K, Palotie U, Papapanou P, Pussinen P, Porteous D, Reis K, Salminen A, Schaefer A, Sudo T, Sun Y, Suominen A, Tamahara T, Weinberg S, Lundberg P, Marazita M, Johansson I. Phenotype Harmonization in the GLIDE2 Oral Health Genomics Consortium. J Dent Res 2022; 101:1408-1416. [PMID: 36000800 PMCID: PMC9516613 DOI: 10.1177/00220345221109775] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Genetic risk factors play important roles in the etiology of oral, dental, and craniofacial diseases. Identifying the relevant risk loci and understanding their molecular biology could highlight new prevention and management avenues. Our current understanding of oral health genomics suggests that dental caries and periodontitis are polygenic diseases, and very large sample sizes and informative phenotypic measures are required to discover signals and adequately map associations across the human genome. In this article, we introduce the second wave of the Gene-Lifestyle Interactions and Dental Endpoints consortium (GLIDE2) and discuss relevant data analytics challenges, opportunities, and applications. In this phase, the consortium comprises a diverse, multiethnic sample of over 700,000 participants from 21 studies contributing clinical data on dental caries experience and periodontitis. We outline the methodological challenges of combining data from heterogeneous populations, as well as the data reduction problem in resolving detailed clinical examination records into tractable phenotypes, and describe a strategy that addresses this. Specifically, we propose a 3-tiered phenotyping approach aimed at leveraging both the large sample size in the consortium and the detailed clinical information available in some studies, wherein binary, severity-encompassing, and "precision," data-driven clinical traits are employed. As an illustration of the use of data-driven traits across multiple cohorts, we present an application of dental caries experience data harmonization in 8 participating studies (N = 55,143) using previously developed permanent dentition tooth surface-level dental caries pattern traits. We demonstrate that these clinical patterns are transferable across multiple cohorts, have similar relative contributions within each study, and thus are prime targets for genetic interrogation in the expanded and diverse multiethnic sample of GLIDE2. We anticipate that results from GLIDE2 will decisively advance the knowledge base of mechanisms at play in oral, dental, and craniofacial health and disease and further catalyze international collaboration and data and resource sharing in genomics research.
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Affiliation(s)
- K. Divaris
- Division of Pediatric and Public
Health, Adams School of Dentistry, University of North Carolina at Chapel Hill,
Chapel Hill, NC, USA
- Department of Epidemiology, Gillings
School of Global Public Health, University of North Carolina at Chapel Hill, Chapel
Hill, NC, USA
| | - S. Haworth
- Medical Research Council Integrative
Epidemiology United, Department of Population Health Sciences, Bristol Medical
School, University of Bristol, Bristol, UK
- Bristol Dental School, University of
Bristol, Bristol, UK
| | - J.R. Shaffer
- Department of Human Genetics, Graduate
School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Craniofacial and Dental
Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine,
University of Pittsburgh, Pittsburgh, PA, USA
| | - V. Anttonen
- Research Unit of Oral Health Sciences,
Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu
University Hospital and University of Oulu, Oulu, Finland
| | - J.D. Beck
- Division of Comprehensive Oral
Health–Periodontology, Adams School of Dentistry, University of North Carolina at
Chapel Hill, Chapel Hill, NC, USA
| | - Y. Furuichi
- Division of Endodontology and
Periodontology, Department of Oral Rehabilitation, Graduate School of Dentistry,
Health Sciences University of Hokkaido, Hokkaido, Japan
| | - B. Holtfreter
- Department of Restorative Dentistry,
Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University
Medicine Greifswald, Greifswald, Germany
| | - D. Jönsson
- Public Dental Service of Skåne, Lund,
Sweden
- Hypertension and Cardiovascular
Disease, Department of Clinical Sciences in Malmö, Lund University, Malmö,
Sweden
- Faculty of Odontology, Malmö
University, Malmö, Sweden
| | - T. Kocher
- Department of Restorative Dentistry,
Periodontology, Endodontology, and Preventive and Pediatric Dentistry, University
Medicine Greifswald, Greifswald, Germany
| | - S.M. Levy
- Department of Preventive and
Community Dentistry, College of Dentistry, University of Iowa, Iowa City, IA,
USA
| | - P.K.E. Magnusson
- Department of Medical Epidemiology
and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D.W. McNeil
- Center for Oral Health Research in
Appalachia, Appalachia, NY, USA
- Department of Psychology, West
Virginia University, Morgantown, WV, USA
- Department of Dental Public Health
& Professional Practice, West Virginia University, Morgantown, WV, USA
| | - K. Michaëlsson
- Department of Surgical Sciences, Unit
of Medical Epidemiology, Uppsala University, Uppsala, Sweden
| | - K.E. North
- Department of Epidemiology, Gillings
School of Global Public Health, University of North Carolina at Chapel Hill, Chapel
Hill, NC, USA
- Carolina Population Center,
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - U. Palotie
- Oral and Maxillofacial Diseases,
University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - P.N. Papapanou
- Division of Periodontics, Section of
Oral, Diagnostic and Rehabilitation Sciences, Columbia University, College of Dental
Medicine, New York, NY, USA
| | - P.J. Pussinen
- Oral and Maxillofacial Diseases,
University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Institute of Dentistry, School on
Medicine, University of Eastern Finland, Kuopio, Finland
| | - D. Porteous
- Centre for Genomic and Experimental
Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh,
UK
| | - K. Reis
- Institute of Genomics, University of
Tartu, Tartu, Estonia
| | - A. Salminen
- Oral and Maxillofacial Diseases,
University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - A.S. Schaefer
- Department of Periodontology, Oral
Medicine and Oral Surgery, Institute for Dental and Craniofacial Sciences,
Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - T. Sudo
- Institute of Education, Tokyo Medical
and Dental University, Tokyo, Japan
| | - Y.Q. Sun
- Center for Oral Health Services and
Research Mid-Norway (TkMidt), Trondheim, Norway
- Department of Clinical and Molecular
Medicine, NTNU, Norwegian University of Science and Technology, Trondheim,
Norway
| | - A.L. Suominen
- Institute of Dentistry, School on
Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Dentistry, School on
Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Oral and Maxillofacial
Diseases, Kuopio University Hospital, Kuopio, Finland
- Public Health Evaluation and
Projection Unit, Finnish Institute for Health and Welfare (THL), Helsinki,
Finland
| | - T. Tamahara
- Department of Community Medical
Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai,
Japan
| | - S.M. Weinberg
- Department of Human Genetics, Graduate
School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Craniofacial and Dental
Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine,
University of Pittsburgh, Pittsburgh, PA, USA
| | - P. Lundberg
- Department of Odontology, Section of
Molecular Periodontology, Umeå University, Umeå, Sweden
| | - M.L. Marazita
- Department of Human Genetics, Graduate
School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Craniofacial and Dental
Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine,
University of Pittsburgh, Pittsburgh, PA, USA
| | - I. Johansson
- Department of Odontology, Section of
Cariology, Umeå University, Umeå, Sweden
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5
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Luningham JM, Hendriks AM, Krapohl E, Ip HF, van Beijsterveldt CE, Lundström S, Vuoksimaa E, Korhonen T, Lichtenstein P, Plomin R, Pulkkinen L, Rose RJ, Kaprio J, Bartels M, Boomsma DI, Lubke GH. Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium. J Child Psychol Psychiatry 2020; 61:807-817. [PMID: 31950512 PMCID: PMC7363537 DOI: 10.1111/jcpp.13188] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Aggression in children has genetic and environmental causes. Studies of aggression can pool existing datasets to include more complex models of social effects. Such analyses require large datasets with harmonized outcome measures. Here, we made use of a reference panel for phenotype data to harmonize multiple aggression measures in school-aged children to jointly analyze data from five large twin cohorts. METHODS Individual level aggression data on 86,559 children (42,468 twin pairs) were available in five European twin cohorts measured by different instruments. A phenotypic reference panel was collected which enabled a model-based phenotype harmonization approach. A bi-factor integration model in the integrative data analysis framework was developed to model aggression across studies while adjusting for rater, age, and sex. Finally, harmonized aggression scores were analyzed to estimate contributions of genes, environment, and social interaction to aggression. The large sample size allowed adequate power to test for sibling interaction effects, with unique dynamics permitted for opposite-sex twins. RESULTS The best-fitting model found a high level of overall heritability of aggression (~60%). Different heritability rates of aggression across sex were marginally significant, with heritability estimates in boys of ~64% and ~58% in girls. Sibling interaction effects were only significant in the opposite-sex twin pairs: the interaction effect of males on their female co-twin differed from the effect of females on their male co-twin. An aggressive female had a positive effect on male co-twin aggression, whereas more aggression in males had a negative influence on a female co-twin. CONCLUSIONS Opposite-sex twins displayed unique social dynamics of aggressive behaviors in a joint analysis of a large, multinational dataset. The integrative data analysis framework, applied in combination with a reference panel, has the potential to elucidate broad, generalizable results in the investigation of common psychological traits in children.
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Affiliation(s)
- Justin M. Luningham
- Department of Psychology, University of Notre Dame, Notre
Dame, IN;,Department of Population Health Sciences, School of Public
Health, Georgia State University, Atlanta, GA, USA
| | - Anne M. Hendriks
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands
| | - Eva Krapohl
- Medical Research Council Social, Genetic, and Developmental
Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, UK
| | - Hill Fung Ip
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands
| | - Catharina E.M. van Beijsterveldt
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands
| | - Sebastian Lundström
- Gillberg Neuropsychiatry Centre, University of Gothenburg,
Gothenburg;,Centre for Ethics, Law and Mental Health (CELAM),
University of Gothenburg, Gothenburg, Sweden
| | - Eero Vuoksimaa
- Institute for Molecular Medicine Finland, University of
Helsinki, Helsinki, Finland
| | - Tellervo Korhonen
- Institute for Molecular Medicine Finland, University of
Helsinki, Helsinki, Finland
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics,
Karolinska Institutet, Stockholm, Sweden
| | - Robert Plomin
- Medical Research Council Social, Genetic, and Developmental
Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience,
King’s College London, London, UK
| | - Lea Pulkkinen
- Department of Psychology, University of Jyvaskyla,
Jyvaskyla, Finland
| | - Richard J. Rose
- Department of Psychological and Brain Sciences, Indiana
University, Bloomington, IN, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of
Helsinki, Helsinki, Finland;,Department of Public Health, University of Helsinki,
Helsinki, Finland
| | - Meike Bartels
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands;,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Dorret I. Boomsma
- Netherlands Twin Register, Department of Biological
Psychology, Vrije Universiteit Amsterdam, Amsterdam;,Amsterdam Public Health research institute, Faculty of
Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The
Netherlands;,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Gitta H. Lubke
- Department of Psychology, University of Notre Dame, Notre
Dame, IN
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