Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory.
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- van den Berg, Stéphanie M; de Moor, Marleen H M; McGue, Matt; Pettersson, Erik; Terracciano, Antonio; Verweij, Karin J H; Amin, Najaf; Derringer, Jaime; Esko, Tõnu; van Grootheest, Gerard; Hansell, Narelle K; Huffman, Jennifer; Konte, Bettina; Lahti, Jari; Luciano, Michelle; Matteson, Lindsay K; Viktorin, Alexander; Wouda, Jasper; Agrawal, Arpana; Allik, Jüri; Bierut, Laura; Broms, Ulla; Campbell, Harry; Smith, George Davey; Eriksson, Johan G; Ferrucci, Luigi; Franke, Barbera; Fox, Jean-Paul; de Geus, Eco J C; Giegling, Ina; Gow, Alan J; Grucza, Richard; Hartmann, Annette M; Heath, Andrew C; Heikkilä, Kauko; Iacono, William G; Janzing, Joost; Jokela, Markus; Kiemeney, Lambertus; Lehtimäki, Terho; Madden, Pamela A F; Magnusson, Patrik K E; Northstone, Kate; Nutile, Teresa; Ouwens, Klaasjan G; Palotie, Aarno; Pattie, Alison; Pesonen, Anu-Katriina; Polasek, Ozren; Pulkkinen, Lea; Pulkki-Råback, Laura; Raitakari, Olli T; Realo, Anu; Rose, Richard J; Ruggiero, Daniela; Seppälä, Ilkka; Slutske, Wendy S; Smyth, David C; Sorice, Rossella; Starr, John M; Sutin, Angelina R; Tanaka, Toshiko; Verhagen, Josine; Vermeulen, Sita; Vuoksimaa, Eero; Widen, Elisabeth; Willemsen, Gonneke; Wright, Margaret J; Zgaga, Lina; Rujescu, Dan; Metspalu, Andres; Wilson, James F; Ciullo, Marina; Hayward, Caroline; Rudan, Igor; Deary, Ian J; Räikkönen, Katri; Arias Vasquez, Alejandro; Costa, Paul T; Keltikangas-Järvinen, Liisa; van Duijn, Cornelia M; Penninx, Brenda W J H; Krueger, Robert F; Evans, David M; Kaprio, Jaakko; Pedersen, Nancy L; Martin, Nicholas G; Boomsma, Dorret I
- Year
- 2014
- Journal
- Behavior genetics
- PMID
- 24828478
- DOI
- 10.1007/s10519-014-9654-x
- PMCID
- PMC4057636
Mega- or meta-analytic studies (e.g. genome-wide association studies) are increasingly used in behavior genetics. An issue in such studies is that phenotypes are often measured by different instruments across study cohorts, requiring harmonization of measures so that more powerful fixed effect meta-analyses can be employed. Within the Genetics of Personality Consortium, we demonstrate for two clinically relevant personality traits, Neuroticism and Extraversion, how Item-Response Theory (IRT) can be applied to map item data from different inventories to the same underlying constructs. Personality item data were analyzed in >160,000 individuals from 23 cohorts across Europe, USA and Australia in which Neuroticism and Extraversion were assessed by nine different personality inventories. Results showed that harmonization was very successful for most personality inventories and moderately successful for some. Neuroticism and Extraversion inventories were largely measurement invariant across cohorts, in particular when comparing cohorts from countries where the same language is spoken. The IRT-based scores for Neuroticism and Extraversion were heritable (48 and 49 %, respectively, based on a meta-analysis of six twin cohorts, total N = 29,496 and 29,501 twin pairs, respectively) with a significant part of the heritability due to non-additive genetic factors. For Extraversion, these genetic factors qualitatively differ across sexes. We showed that our IRT method can lead to a large increase in sample size and therefore statistical power. The IRT approach may be applied to any mega- or meta-analytic study in which item-based behavioral measures need to be harmonized.
A graph representation of the hierarchical model for measurement variance. Item parameters ξ (thresholds and discrimination parameter) are allowed to vary across cohorts, but person parameters are allowed to vary both across cohorts and within cohorts. Observed response Y ijk from person i in cohort j to item k is predicted by a latent score θ ij for that person and item parameters ξ kj for item k that is specific for cohort j
Parameter estimates (thresholds and discrimination parameters) for 12 items (x-axis) from the NEO-FFI personality inventory for different cohorts, separately for Neuroticism and Extraversion. In black, the item parameter values for Finnish language cohorts, in green for Dutch language cohorts, and in red for English language cohorts (Color figure online)
Parameter estimates (thresholds and discrimination parameters) for 12 items (x-axis) from the EPQ-R personality inventory for different cohorts, separately for Neuroticism and Extraversion. In black, the item parameter values for Croatian cohorts, in green for English language cohorts, and in red for a Dutch language cohort (Color figure online)
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In this knowledge base
External
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| Shared and Unique Genetic Links between Neuroticism and Gastrointestinal Tract Diseases. | Tian Y et al. | — | 2024 | → |
| The role of environmental sensitivity in the mental health of Syrian refugee children: a multi-level analysis. | May AK et al. | — | 2024 | → |
| A genome-wide association study (GWAS) of the personality constructs in CPAI-2 in Taiwanese Hakka populations. | Kao PY et al. | — | 2023 | → |
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| The genetics of neuroticism: Insights from the Maudsley rat model and human studies. | Blizard DA et al. | — | 2023 | → |
| Overview of CAPICE-Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe-an EU Marie Skłodowska-Curie International Training Network. | Rajula HSR et al. | — | 2022 | → |
| Sometimes I feel the fear of uncertainty: How intolerance of uncertainty and trait anxiety impact fear acquisition, extinction and the return of fear. | Wroblewski A et al. | — | 2022 | → |
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| Perfectionism and Neuroticism: Evidence for a common genetic and environmental etiology. | Burcaş S et al. | — | 2021 | → |
| The Big Five Personality Traits and Brain Arousal in the Resting State. | Jawinski P et al. | — | 2021 | → |
| Familial Influences on Neuroticism and Education in the UK Biobank. | Cheesman R et al. | — | 2020 | → |
| Family and neighborhood socioeconomic status and temperament development from childhood to adolescence. | Strickhouser JE et al. | — | 2020 | → |
| Genetic correlations between pain phenotypes and depression and neuroticism. | Meng W et al. | — | 2020 | → |
| Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium. | Luningham JM et al. | — | 2020 | → |
| Identifying potential causal effects of age at menarche: a Mendelian randomization phenome-wide association study. | Magnus MC et al. | — | 2020 | → |
| Irritability as a Transdiagnostic Vulnerability Trait:Current Issues and Future Directions. | Beauchaine TP et al. | — | 2020 | → |
| Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study. | Lim KX et al. | — | 2020 | → |
| Data Integration Methods for Phenotype Harmonization in Multi-Cohort Genome-Wide Association Studies With Behavioral Outcomes. | Luningham JM et al. | — | 2019 | → |
| Estimating person parameters via item response model and simple sum score in small samples with few polytomous items: A simulation study. | Schwall P et al. | — | 2019 | → |
| Genetic and Environmental Associations Between Child Personality and Parenting. | Ayoub M et al. | — | 2019 | → |
| Genome-wide association study identifies a novel locus associated with psychological distress in the Japanese population. | Koshimizu H et al. | — | 2019 | → |
| Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. | Howard DM et al. | — | 2019 | → |
| Identifying Potential Causal Risk Factors for Self-Harm: A Polygenic Risk Scoring and Mendelian Randomisation Approach | Lim KX et al. | — | 2019 | — |
| Psychometric Modelling of Longitudinal Genetically Informative Twin Data. | Schwabe I et al. | — | 2019 | → |
| The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. | Ligthart L et al. | — | 2019 | → |
| Trait neuroticism and emotion neurocircuitry: Functional magnetic resonance imaging evidence for a failure in emotion regulation. | Silverman MH et al. | — | 2019 | → |
| Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies. | Schwabe I et al. | — | 2019 | → |
| An Extended Twin-Pedigree Study of Neuroticism in the Netherlands Twin Register. | Boomsma DI et al. | — | 2018 | → |
| Genome-wide analysis of insomnia disorder. | Stein MB et al. | — | 2018 | → |
| Genome-wide interaction study of a proxy for stress-sensitivity and its prediction of major depressive disorder. | Arnau-Soler A et al. | — | 2018 | → |
| Maternal smoking during pregnancy and offspring personality in childhood and adulthood. | Sutin AR et al. | — | 2018 | → |
| The genetics of human personality. | Sanchez-Roige S et al. | — | 2018 | → |
| Associations between a polymorphism in the hydroxysteroid (11-beta) dehydrogenase 1 gene, neuroticism and postpartum depression. | Iliadis SI et al. | — | 2017 | → |
| Childhood behaviour problems show the greatest gap between DNA-based and twin heritability. | Cheesman R et al. | — | 2017 | → |
| Genome-wide analyses for personality traits identify six genomic loci and show correlations with psychiatric disorders. | Lo MT et al. | — | 2017 | → |
| LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. | Zheng J et al. | — | 2017 | → |
| Mathematical Ability and Socio-Economic Background: IRT Modeling to Estimate Genotype by Environment Interaction. | Schwabe I et al. | — | 2017 | → |
| Modeling prior information of common genetic variants improves gene discovery for neuroticism. | Lo MT et al. | — | 2017 | → |
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| A Genome-Wide Association Meta-Analysis of Attention-Deficit/Hyperactivity Disorder Symptoms in Population-Based Pediatric Cohorts. | Middeldorp CM et al. | — | 2016 | → |
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| Breastfeeding and Adult Personality. | Sutin AR et al. | — | 2016 | → |
| Dispositional negativity: An integrative psychological and neurobiological perspective. | Shackman AJ et al. | — | 2016 | → |
| Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci. | Smith DJ et al. | — | 2016 | → |
| Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. | van den Berg SM et al. | — | 2016 | → |
| Molecular genetic approaches to understanding the comorbidity of psychiatric disorders. | Gizer IR | — | 2016 | → |
| Personality Polygenes, Positive Affect, and Life Satisfaction. | Weiss A et al. | — | 2016 | → |
| Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits. | Pavlides JM et al. | — | 2016 | → |
| Genetic and Environmental Stability of Neuroticism From Adolescence to Adulthood. | Nivard MG et al. | — | 2015 | → |
| Is there a genetic correlation between general factors of intelligence and personality? | Loehlin JC et al. | — | 2015 | → |
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