{"id":23,"date":"2015-02-26T17:19:32","date_gmt":"2015-02-26T17:19:32","guid":{"rendered":"http:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/?page_id=23"},"modified":"2024-10-15T17:10:12","modified_gmt":"2024-10-15T17:10:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n

Publications<\/h1>\n\n\n\n

Comparison of the multivariate genetic architecture of eight major psychiatric disorders across sex.<\/strong><\/p>\n\n\n\n

Schwaba, T., Mallard, T. T., Maihofer, A. X., Rhemtulla, M., Lee, P. H., Smoller, J. W., Davis, L., Nivard, M. G., Grotzinger, A. D., & Tucker-Drob, E. M. (accepted). Comparison of the multivariate genetic architecture of eight major psychiatric disorders across sex. Nature Genetics <\/em>Link<\/a> (to preprint)<\/p>\n\n\n\n

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Genetic associations between noncognitive skills and academic achievement over development.<\/strong><\/p>\n\n\n\n

Malanchini, M. Allegrini, A. G., Nivard, M. G., Biroli, P., Rimfeld, K., Cheesman, R., von Stumm, S., Demange, P. A., van Bergen, E., Grotzinger, A. D., Raffington, L. de la Fuente, J., Pingault, J. B., Tucker-Drob, E. M., Harden, K. P., & Plomin, R. (accepted). Genetic associations between noncognitive skills and academic achievement over development. Nature Human Behaviour.<\/em><\/p>\n\n\n\n

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Beyond the factor indeterminacy problem using genome-wide association data<\/strong><\/span><\/p>\n\n\n\n

Clapp Sullivan, M. L., Schwaba, T., Harden, K. P., Grotzinger, A. D., Nivard, M. G., & Tucker-Drob, E. M. (2024). Beyond the factor indeterminacy problem using genome-wide association data. Nature Human Behaviour, 8,<\/em> 205\u2013218 . Link<\/a><\/p>\n\n\n\n

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The stability of cognitive abilities: A meta-analytic review of longitudinal studies<\/strong><\/p>\n\n\n\n

Breit, M., Scherrer, V., Tucker-Drob, E. M., & Preckel, F. (2024). The stability of cognitive abilities: A meta-analytic review of longitudinal studies. Psychological Bulletin, 150, <\/em>399\u2013439. PDF<\/a> Supplement<\/a><\/p>\n\n\n\n

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The genetic architecture and evolution of the human skeletal form<\/p>\n\n\n\n

Kun, E., Javan, E. M., Smith, O., Gulamali, F., de la Fuente, J., Flynn, B. I., Vajrala, K., Trutner, Z.,\u00a0 Jayakumar, P., Tucker-Drob, E. M., Sohail, M., Singh, T., & Narasimhan, V. M. (2023). The genetic architecture and evolution of the human skeletal form. Science, 381, <\/em>1-11. Link<\/a><\/p>\n\n\n\n

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Identification of circulating proteins associated with general cognitive function among middle-aged and older adults<\/strong><\/span><\/p>\n\n\n\n

Tin, A., et al. (2023). Identification of circulating proteins associated with general cognitive function among middle-aged and older adults. Communications Biology, 6, <\/em>1117. Link<\/a><\/p>\n\n\n\n

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Associations of DNA-Methylation measures of biological aging with social disparities in child and adolescent mental health<\/strong><\/span><\/p>\n\n\n\n

Raffington, L., Tanksley, P., Vinnik, L., Sabhlok, A., Mallard, T. T., Malanchini, M., Ayorech, Z., Tucker-Drob, E. M. & Harden, K. P. (2023). Associations of DNA-Methylation measures of biological aging with social disparities in child and adolescent mental health.  Clinical Psychological Science, <\/em>1-12. <\/em>Link<\/a><\/p>\n\n\n\n

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Salivary epigenetic measures of BMI and social determinants of health across childhood and adolescence<\/strong><\/span><\/p>\n\n\n\n

Raffington, L., Schneper, L., Mallard, T., Fisher, J., Vinnik, L., Hollis-Hansen, K., Notterman, D. A., Tucker-Drob, E. M., Mitchell, C., & Harden, K. P. (2023). Salivary epigenetic measures of BMI and social determinants of health across childhood and adolescence. JAMA Pediatrics, 177, <\/em>1047\u20131054. [The last four authors contributed equally to this work]<\/em><\/p>\n\n\n\n

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Socially stratified epigenetic profiles are associated with cognitive functioning in children and adolescents<\/strong><\/span><\/p>\n\n\n\n

Raffington, L., Tanksley, P., Sabhlok, A., Vinnik, L., Mallard, T. T., King, L., Goosby, B., Harden, K. P. & Tucker-Drob, E. M. (2023). Socially stratified epigenetic profiles are associated with cognitive functioning in children and adolescents. Psychological Science, 34, 170-185.<\/em> [Harden & Tucker-Drob contributed equally to this work] Link<\/a> (to preprint)<\/p>\n\n\n\n

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Pervasive downward bias in estimates of liability scale heritability in GWAS meta-analysis: A simple solution<\/span><\/strong><\/p>\n\n\n\n

Grotzinger, A. D., de la Fuente, J., Priv\u00e9, F., Nivard, M. G., & Tucker-Drob, E. M. (2023). Pervasive downward bias in estimates of liability scale heritability in GWAS meta-analysis: A simple solution. Biological Psychiatry, 93<\/em>.<\/em> PDF<\/a><\/p>\n\n\n\n

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Strong intercorrelations among global graph-theoretic indices of structural connectivity in the human brain<\/strong><\/span><\/p>\n\n\n\n

Madole, J. W, Buchanan, C. R., Rhemtullah, M., Ritchie, S. J., Bastin, M. E., Deary, I. J., Cox, S. R., & Tucker-Drob, E. M. (2023). Strong intercorrelations among global graph-theoretic indices of structural connectivity in the human brain. NeuroImage, 275, <\/em>120160. <\/em>Link<\/a><\/p>\n\n\n\n

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Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders<\/strong><\/span><\/p>\n\n\n\n

Hatoum, A.S., Colbert, S.M.C, Johnson, E.C., Huggett, S.B., Deak, J.D., Pathak, G.A, Mariela  Jennings, J., Paul, S.E., Karcher, N.R., Hansen, I., Baranger, D.A.A., Edwards, A., Grotzinger, A., Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, Tucker-Drob, E.M.,, Kranzler, H.R., Davis, L.K., Sanchez-Roige, S., Polimanti, R., Gelernter, J., Edenberg, H.J., Bogdan, R., & Agrawal, A. (2023). Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. Nature Mental Health. <\/em>Link<\/a> Recipient of the Gershon Paper of the Year Award<\/a>, International Society of Psychiatric Genetics.<\/em><\/p>\n\n\n\n

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Associations of socioeconomic disparities with buccal DNA-methylation measures of biological aging<\/strong><\/span><\/p>\n\n\n\n

Raffington, L., Schwaba, T., Aikins, M., Richter, D., Wagner, G. G., Harden, K. P., Belsky, D. W., & Tucker-Drob, E. M. (2023). Associations of socioeconomic disparities with buccal DNA-methylation measures of biological aging. Clinical Epigenetics, 15, 1-9. <\/em>Link<\/a><\/p>\n\n\n\n

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Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic, and molecular genetic levels of analysis<\/strong><\/span><\/p>\n\n\n\n

Grotzinger, A. D., …Tucker-Drob, E. M., & Nivard, M. G. (2022). Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic, and molecular genetic levels of analysis.<\/em> Nature Genetics <\/em>[Tucker-Drob & Nivard jointly directed this work] Link<\/a><\/p>\n\n\n\n

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A strong dependency between changes in fluid and crystallized abilities in human cognitive aging<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., de la Fuente, J., K\u00f6hncke, Y., Brandmaier, A., Nyberg, L., & Lindenberger, U. (2022). A strong dependency between changes in fluid and crystallized abilities in human cognitive aging. Science Advances, 8, <\/em>1-10. Link<\/a><\/p>\n\n\n\n

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Genetic variance in conscientiousness relates to youth psychopathology beyond executive functions<\/strong><\/span><\/p>\n\n\n\n

Shields, A.N., Malanchini, M., Vinnik, L., Tucker-Drob, E.M., Harden, K.P., & Tackett, J.L. (2022). Genetic variance in conscientiousness relates to youth psychopathology beyond executive functions. Journal of Psychopathology and Clinical Science [formerly Journal of Abnormal Psychology], 131<\/em>, <\/i>830\u2013846.<\/p>\n\n\n\n

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General dimensions of human brain morphometry inferred from genome-wide association data<\/strong><\/span><\/p>\n\n\n\n

F\u00fcrtjes, A. E., Arathimos, R., Coleman, J. R. I., Cole, J. H., Cox, S. R., Deary, I. J., de la Fuente, J., Madole, J. W., Tucker-Drob, E. M., & Ritchie, S. J. (2023). General dimensions of human brain morphometry inferred from genome-wide association data. Human Brain Mapping. <\/em>Link<\/a><\/p>\n\n\n\n

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Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes<\/strong><\/span><\/p>\n\n\n\n

Yeung, H. W, Stolicyn, A., Buchanan, C. R., Tucker-Drob, E. M., Bastin, M. E., Luz, S., Whalley, H. C., Cox, S. R., & Smith, K. M. Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes. (2023). Human Brain Mapping, 44, <\/i>913\u20131933.  Link<\/a><\/p>\n\n\n\n

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Integrated analysis of direct and proxy genome wide association studies highlights polygenicity of Alzheimer\u2019s disease outside of the APOE region<\/strong><\/span><\/p>\n\n\n\n

de la Fuente, J., Grotzinger, A. D., Marioni, R. E., G., Nivard, M. G., & Tucker-Drob, E. M. (2022). Integrated analysis of direct and proxy genome wide association studies highlights polygenicity of Alzheimer\u2019s disease outside of the APOE region. PLoS Genetics, 18,<\/em> e1010208. Link<\/a><\/p>\n\n\n\n

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Transcriptome-wide and stratified genomic structural equation modeling identify neurobiological pathways underlying general and specific cognitive functions<\/strong><\/span><\/p>\n\n\n\n

Grotzinger, A. D., de la Fuente, J., Davies, G., Nivard, M. G., & Tucker-Drob, E. M. (2022). Transcriptome-wide and stratified genomic structural equation modeling identify neurobiological pathways underlying general and specific cognitive functions. Nature Communications, 13,<\/i> 1-15. Link<\/a><\/p>\n\n\n\n

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Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects<\/strong><\/span><\/p>\n\n\n\n

Howe, L. J., \u2026 <\/strong>& Davies, N. M. (2022). Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects. Nature Genetics,<\/em> 54,<\/em> 581\u2013592. PDF<\/a><\/p>\n\n\n\n

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Epigenetic scores for the circulating proteome as tools for disease prediction<\/strong><\/span><\/p>\n\n\n\n

Gadd, D. A., Hillary, R. F., McCartney, D. L., … & Marioni, R. E. (2022). Epigenetic scores for the circulating proteome as tools for disease prediction. eLife, 11,<\/em> 1-24. <\/em>Link<\/a><\/p>\n\n\n\n

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Blood-based epigenome-wide analyses of cognitive abilities<\/strong><\/span><\/p>\n\n\n\n

McCartney, D. L., Hillary, R. F., Trejo-Banos, D., Gadd, D. A., … & Marioni, R. E. (2022). Blood-based epigenome-wide analyses of cognitive abilities. Genome Biology, 23,<\/em> 1-16. <\/em>Link<\/a> (to preprint)<\/p>\n\n\n\n

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Examining relations between performance on non-verbal executive function and verbal self-regulation tasks in demographically-diverse populations<\/strong><\/span><\/p>\n\n\n\n

Dutra, N. B., Chen, L.,  .<\/strong>.. Tucker-Drob, E. M. & Legare, C. H. (2022). Examining relations between performance on non-verbal executive function and verbal self-regulation tasks in demographically-diverse populations. Developmental Science, 25, <\/em>e13228<\/p>\n\n\n\n

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Modeling interaction and dispersion effects in the analysis of gene-by-environment interaction<\/strong><\/span><\/p>\n\n\n\n

Domingue, B. W., Kanopka, K., Mallard, T. T., Trejo, S., & Tucker-Drob, E. M. (2022). Modeling interaction and dispersion effects in the analysis of gene-by-environment interaction. Behavior Genetics, 52,<\/em> 56-64. PDF<\/a><\/p>\n\n\n\n

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Ubiquitous bias & false discovery due to model misspecification in analysis of statistical interactions: The role of the outcome’s distribution and metric properties<\/strong><\/span><\/p>\n\n\n\n

Domingue, B. W., Kanopka, K., Trejo, S., Rhemtulla, M., & Tucker-Drob, E. M. (2022). Ubiquitous bias & false discovery due to model misspecification in analysis of statistical interactions: The role of the outcome’s distribution and metric properties. Psychological Methods. <\/em>PDF<\/a><\/p>\n\n\n\n

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Socioeconomic disadvantage and the pace of biological aging in children<\/strong><\/span><\/p>\n\n\n\n

Raffington, L., Belsky, D. W., Kothari, M., Malanchini, M., Tucker-Drob, E. M., & Harden, K. P. (2021). Socioeconomic disadvantage and the pace of biological aging in children. Pediatrics, 147.<\/em> Link<\/a><\/p>\n\n\n\n

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Multivariate genomic analysis of 1.5 million people identifies genes related to self regulation and addiction<\/span><\/strong><\/p>\n\n\n\n

Karlsson Linn\u00e9r, R., Mallard, T.T., Barr, P.B., Sanchez-Roige, S., Madole, J.W., Driver, M.N., Poore, H.E., de Vlaming, R., Grotzinger, A.D., Tielbeek, J.T., Johnson, E.C., Liu, M., Rosenthal, S.B., Ideker, T., Zhou, H., Kember, R.L., Pasman, J.A., Verweij, K.J.H., Liu, D.J., Vrieze, S., COGA Collaborators, Kranzler, H.R., Gelernter, J., Harris, K.M., Tucker-Drob, E.M., Waldman, I., Palmer, A.A., Harden, K.P., Koellinger, P.D., & Dick, D.M. (2021). Multivariate genomic analysis of 1.5 million people identifies genes related to self regulation and addiction. Nature Neuroscience, 24,<\/em> 1367\u20131376. Link<\/a><\/p>\n\n\n\n

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Niche diversity predicts personality structure across 115 nations<\/strong><\/span><\/p>\n\n\n\n

Durkee, P., Lukaszewski, A., von Rueden, C., Gurven, M., Buss, D. M., & Tucker-Drob, E. M. (2022). Niche diversity predicts personality structure across 115 nations. Psychological Science, 33, <\/em>285-298. Link<\/a> (to preprint)<\/p>\n\n\n\n

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The relationship between executive function, processing speed, and attention-deficit hyperactivity disorder in middle childhood<\/strong><\/span><\/p>\n\n\n\n

Sabhlok, A., Malanchini, M., Engelhardt, L. E., Madole, J., Tucker-Drob, E. M., & Harden, K. P. (2021). The relationship between executive function, processing speed, and attention-deficit hyperactivity disorder in middle childhood. Developmental Science, 00<\/em>, 1\u2013 11. Link<\/a><\/p>\n\n\n\n

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Three major dimensions of human brain cortical ageing in relation to cognitive decline across the 8th<\/sup> decade of life<\/strong><\/span><\/p>\n\n\n\n

Cox, S. R., Harris, M. A., Ritchie, S. R., Buchanan, C. R, Hern\u00e1ndez, M. V., Corley, J., Taylor, A. M., Madole, J. W., Harris, S. E., Whalley, A. M., McIntosh, A. M., Russ, T. C., Bastin, M. E., Wardlaw, J. M., Deary, I. J., & Tucker-Drob, E. M. (2021). Three major dimensions of human brain cortical ageing in relation to cognitive decline across the 8th<\/sup> decade of life. Molecular Psychiatry.<\/em> Link<\/a><\/p>\n\n\n\n

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Investigating the genetic architecture of non-cognitive skills using GWAS-by-subtraction<\/strong><\/span><\/p>\n\n\n\n

Demange, P. , Malanchini, M., Biroli P., Cox, S., Grotzinger, A. D., Mallard, T., Tucker-Drob E. M., Abdellaoui A., Arseneault, L., Caspi, A., Corcoran, D., Domingue B., Mitchell C., van Bergen E., Boomsma D. I., Harris K. M. Ip H. F., Moffitt, T. E., Poulton, R., Prinz, J., Karen Sugden, K., Wertz J., Williams, B., de Zeeuw E. L., Belsky D. W., Harden K. P., & Nivard M. G. (2021). Investigating the genetic architecture of non-cognitive skills using GWAS-by-subtraction. Nature Genetics, 53,<\/em> 35-44. Link<\/a><\/p>\n\n\n\n

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Resource profile and user guide of the polygenic index repository<\/strong><\/span><\/p>\n\n\n\n

Becker, J., \u2026 & Okbay, A. (2021). Resource profile and user guide of the polygenic index repository. Nature Human Behaviour. <\/em>Link<\/a> (to preprint)<\/p>\n\n\n\n

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Adolescent Big Five personality and pubertal development: Pubertal hormone concentrations and self-reported pubertal status<\/strong><\/span><\/p>\n\n\n\n

Van den Akker, A. L., Briley, D. A., Grotzinger, A. D., Tackett, J. L., Tucker-Drob, E. M., & Harden, K. P. (2021). Adolescent Big Five personality and pubertal development: Pubertal hormone concentrations and self-reported pubertal status. Developmental Psychology, 57<\/em>, 60-72. PDF<\/a><\/p>\n\n\n\n

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Comparison of structural MRI brain measures between 1.5T and 3T: Data from the Lothian Birth Cohort 1936<\/strong><\/span><\/p>\n\n\n\n

Buchanan, C. R., Maniega, S. M., Hern\u00e1ndez, M. C. V., Ballerini, L. Barclay, G., Taylor, A. M.. Russ, T. C., Tucker-Drob, E. M., Wardlaw, J. M., Deary, I. J., Bastin, M. E., Cox, S. R. (2021). Comparison of structural MRI brain measures between 1.5T and 3T: Data from the Lothian Birth Cohort 1936. Human Brain Mapping. <\/em>Link<\/a><\/p>\n\n\n\n

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Education and cognitive functioning across the lifespan<\/strong><\/span><\/p>\n\n\n\n

L\u00f6vd\u00e9n, M., Fratiglioni, L., Glymour, M. M., Lindenberger, U., & Tucker-Drob, E. M. (2020). Education and cognitive functioning across the lifespan. Psychological Science in the Public Interest, 21<\/em>, 6-41. Link<\/a> Recipient of the Article of the Year Award<\/a> from the Nordic Mensa Fund.<\/p>\n\n\n\n

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A general dimension of genetic sharing across diverse cognitive traits inferred from molecular data<\/strong><\/p>\n\n\n\n

de la Fuente, J., Davies, J., Grotzinger, A. D., Tucker-Drob, E. M., & Deary. (2020). A general dimension of genetic sharing across diverse cognitive traits inferred from molecular data. Nature Human Behaviour.<\/em> [de la Fuente & Davies contributed equally to this work; Tucker-Drob & Deary jointly directed this work]\u00a0Link<\/a> Supplements<\/a> summary statistics<\/a><\/p>\n\n\n\n

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Aging-sensitive networks within the human structural connectome are implicated in late-life cognitive declines<\/strong><\/span><\/p>\n\n\n\n

Madole, J. W., Ritchie, S. J., Cox, S. R., Buchanan, C. R., Hern\u00e1ndez, M. V., Maniega, S. M., Wardlaw, J. M., Harris, M. A., Bastin, M. E., Deary, I. J., & Tucker-Drob, E. M. (2020). Aging-sensitive networks within the human structural connectome are implicated in late-life cognitive declines. Biological Psychiatry. <\/em>Link<\/a><\/p>\n\n\n\n

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Interactions between polygenic scores and environments: Methodological and conceptual challenges<\/strong><\/span><\/p>\n\n\n\n

Domingue, B. W., Trejo, S., Armstrong-Carter, E., & Tucker-Drob, E. M. (2020). Interactions between polygenic scores and environments: Methodological and conceptual challenges. Sociological Science, 10.15195\/v7.a19. <\/em>Link<\/a><\/p>\n\n\n\n

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Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults<\/strong><\/span><\/p>\n\n\n\n

Hillary, R. F., Banos, D. T., Kousathanas, A., McCartney, D. L., Harris, S. E., Stevenson, A. J., Patxot, M., Ojavee, S. E., Zhang, Q., Liewald, D. C., Ritchie, C. W., Evans, K. L., Tucker-Drob, E. M., Wray, N. R., McRae, A. F., Visscher, P. M., Deary, I. J., Robinson, M. R., & Marioni, R. E. (2020). Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults. Genome Medicine, 12,<\/em> 60. Link<\/a><\/p>\n\n\n\n

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Evidence for a unitary structure of spatial cognition beyond general intelligence<\/strong><\/span><\/p>\n\n\n\n

Malanchini, M., Rimfeld, K., Shakeshaft, N. G., McMillan, A., Schofield, K. L, Rodic, M., Rossi, V., Kovas, Y., Dale, P. S., Tucker-Drob, E. M., & Plomin, R. (2020). Evidence for a unitary structure of spatial cognition beyond general intelligence. npj Science of Learning, 5. <\/em>Link<\/a><\/p>\n\n\n\n

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The effect of network thresholding and weighting on structural brain networks in the UK Biobank<\/strong><\/span><\/p>\n\n\n\n

Buchanan, C. R., Bastin, M. E., Ritchie, S. J., Liewalkd, D., Madole, J., Tucker-Drob, E. M., Deary, I. J., & Cox, S. R. (2020). The effect of network thresholding and weighting on structural brain networks in the UK Biobank. NeuroImage, 211,<\/em> 116443. Link<\/a><\/p>\n\n\n\n

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Neurology-related protein biomarkers are associated with general fluid cognitive ability and brain volume in older age<\/strong><\/span><\/p>\n\n\n\n

Harris, S. E., Cox, S. R., Bell, S., Marioni, R. E., Prins, B. P. Pattie, A., Corley, J., Maniega, S. M., Hern\u00e1ndez, M. V., Morris, Z., John, S., Bronson, P. G., Tucker-Drob, E. M. Starr, J. M., Bastin, M. E., Wardlaw, J. M., Butterworth, A. S., & Deary, I. J. (2020). Neurology-related protein biomarkers are associated with general fluid cognitive ability and brain volume in older age. Nature Communications, 800. <\/em>Link<\/a><\/p>\n\n\n\n

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Genetic associations with mathematics tracking and persistence in secondary school<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Domingue, B. W., Belsky, D. W., Boardman, J. D., Crosnoe, R., Malanchini, M., Nivard, M., Tucker-Drob, E. M., & Harris, K. M. (2020) Genetic associations with mathematics tracking and persistence in secondary school. npj Science of Learning. <\/em>Link<\/a><\/p>\n\n\n\n

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Psychotic-like experiences, polygenic risk scores for schizophrenia, and structural properties of the salience, default mode, and central-executive networks in healthy participants from UK Biobank<\/strong><\/span><\/p>\n\n\n\n

Alloza, C., Blesa-Cabez, M., Bastin, M. E., Madole, J. W., Buchanan C. R., Janssen, J., Gibson, J. Deary, I. J., Tucker-Drob, E. M., Whalley, H. C., Arango, C., McIntosh, A. M., Cox, S. R., & Lawrie, S. M. (2020). Psychotic-like experiences, polygenic risk scores for schizophrenia, and structural properties of the salience, default mode, and central-executive networks in healthy participants from UK Biobank. Translational Psychiatry, 10, <\/em>122. Link<\/a><\/p>\n\n\n\n

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Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses<\/strong><\/span><\/p>\n\n\n\n

Brumpton, B. et al. [The Mendelian randomization within-family consortium]. (2020). Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses. Nature Communications, 20, <\/em>3519. Link<\/a><\/p>\n\n\n\n

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Weak and uneven associations of home, neighborhood and school environments with stress hormone output across multiple time scales<\/strong><\/span><\/p>\n\n\n\n

Malanchini, M., Engelhardt, L. E., Raffington, L., Sabhlok, A., Grtozinger, A. D., Briley, D. A., Madole, J. W., Freis, S. M., Patterson, M. W., Harden, K. P., & Tucker-Drob, E. M. (2020). Weak and uneven associations of home, neighborhood and school environments with stress hormone output across multiple time scales. Molecular Psychiatry. <\/em>Link<\/a> (to preprint)<\/p>\n\n\n\n

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Genetic and environmental influences on human height from infancy through adulthood at different levels of parental education<\/strong><\/span><\/p>\n\n\n\n

Jelenkovic, A., et al. [CODA Consortium] (2020). Genetic and environmental influences on human height from infancy through adulthood at different levels of parental education. Scientific Reports, 7974. <\/em>Link<\/a><\/p>\n\n\n\n

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Genetic factors underlie the association between anxiety, attitudes and performance in mathematics<\/strong><\/span><\/p>\n\n\n\n

Malanchini, M., Rimfeld, K., Wang, Z., Petrill, S. A., Tucker-Drob, E. M., Plomin, R., & Kovas, Y. (2020). Genetic factors underlie the association between anxiety, attitudes and performance in mathematics. Translational Psychiatry, 10,<\/i> 12. Link<\/a><\/p>\n\n\n\n

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Functional connectivity fingerprints at rest are similar across youths and adults and vary with genetic similarity<\/strong><\/span><\/p>\n\n\n\n

Demeter, D. V., Engelhardt, L. E., Mallett, R., Gordon, E. M., Nugiel, T., Harden, K. P., Tucker-Drob, E. M., Lewish-Peacock, J. A, & Church, J. A. (2020). Functional connectivity fingerprints at rest are similar across youths and adults and vary with genetic similarity. iScience, 23,<\/em> 100801. Link<\/a><\/p>\n\n\n\n

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Genetic associations between executive functions and a general factor of psychopathology<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Engelhardt, L. E., Mann, F. D., Patterson, M. D., Grotzinger, A. D., Savicki, S. L., Thibodeaux, M. L., Freis, S. M., Tackett, J. L., Church, J. A., & Tucker-Drob, E. M. (2020). Genetic associations between executive functions and a general factor of psychopathology. Journal of the American Academy of Child & Adolescent Psychiatry, 59,<\/em> 749-758. PDF<\/a><\/p>\n\n\n\n

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Developmental transformations in the structure of executive functions<\/strong><\/span><\/p>\n\n\n\n

Hartung, J., Engelhardt, L., Thibodeaux, M., Harden, K. P., & Tucker-Drob, E. M. (2020). Developmental transformations in the structure of executive functions. Journal of Experimental Child Psychology, 189, <\/em>104681. PDF<\/a><\/p>\n\n\n\n

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Multivariate GWAS of psychiatric disorders and their cardinal symptoms reveal two dimensions of cross-cutting genetic liabilities<\/strong><\/span><\/p>\n\n\n\n

Mallard, T. T., Linn\u00e9r, R. K., Grotzinger, A. D., Sanchez-Roige, S., Seidlitz, J., Okbay, A., de Vlaming, R., Meddens, S. F. W, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Palmer, A. A., Davis, L., K., Tucker-Drob, E. M., Kendler, K., Keller, M. C., Koellinger, P. D., & Harden, K. P. (2019). Multivariate GWAS of psychiatric disorders and their cardinal symptoms reveal two dimensions of cross-cutting genetic liabilities. Cell Genomics. <\/em>Link<\/a><\/p>\n\n\n\n

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In an-laboratory stressor reveals unique genetic variation in children\u2019s cortisol output<\/strong><\/span><\/p>\n\n\n\n

Raffington, L., Malanchini, M., Grotzinger, A. D., Madole, J. W., Engelhardt, L. E., Sabhlok, A., Youn, C., Patterson, M. W., Harden, K. P., & Tucker-Drob, E. M. (2022). In an-laboratory stressor reveals unique genetic variation in children\u2019s cortisol output. Developmental Psychology, 58, <\/em>1832-1848. Link<\/a> (to preprint)<\/p>\n\n\n\n

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Cognitive aging and dementia: A lifespan perspective<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2019). Cognitive aging and dementia: A lifespan perspective. Annual Review of Developmental Psychology, 1 <\/em>(inaugural issue),<\/em> 177-196. PDF<\/a><\/p>\n\n\n\n

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Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders<\/strong><\/span><\/p>\n\n\n\n

Lee, P. H., Anttila, V., Won, H., Feng, Y. C. A., Rosenthal, J., Zhu, Z., Tucker-Drob, E. M., Nivard, M. G., Grotzinger, A. D. … Kendler, K. S., & Smoller, J. W. [Cross-Disorder Group of the Psychiatric Genomics Consortium] (2019). Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders. Cell, 179, <\/em>1469-1482.e11. Link<\/a><\/p>\n\n\n\n

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Coupled cognitive changes in adulthood: A meta-analysis<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Brandmaier, A. M., & Lindenberger, U. (2019). Coupled cognitive changes in adulthood: A meta-analysis. Psychological Bulletin, 145,<\/em> 273-301. PDF<\/a><\/p>\n\n\n\n

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Structural brain imaging correlates of general intelligence in UK Biobank<\/strong><\/span><\/p>\n\n\n\n

Cox, S. R., Ritchie, S. J., Fawns-Ritchie, C., Tucker-Drob, E. M., & Deary, I. J. (2019). Structural brain imaging correlates of general intelligence in UK Biobank. Intelligence, 76,<\/em> 101376. <\/em>Link<\/a><\/p>\n\n\n\n

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Genome and epigenome wide studies of neurological protein biomarkers in the Lothian Birth Cohort 1936<\/strong><\/span><\/p>\n\n\n\n

Hillary, R. F., McCartney, D. L., Harris, S. E., Stevenson, A. J., Seeboth, A. Zhang, Q., Liewald, D. C., Evans, K. L., Ritchie, C. W., Tucker-Drob, E. M., Wray, N. R., McRae, A. F., Visscher, P. M., Deary, I. J., & Marioni, R. E. (2019). Genome and epigenome wide studies of neurological protein biomarkers in the Lothian Birth Cohort 1936. Nature Communications, 10<\/em>, 3160. Link<\/a><\/p>\n\n\n\n

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Associations between vascular risk factors and brain MRI indices in UK Biobank<\/strong><\/span><\/p>\n\n\n\n

Cox, S. R., Lyall D. M., Ritchie S. J., Bastin M. E., Harris M. A., Buchanan C. R., Fawns-Ritchie C., Barbu M. C., de Nooij L., Reus L. M., Alloza C., Shen X., Neilson E., Alderson H. L., Hunter S., Liewald D. C., Pell J. P., Whalley H. C., McIntosh A. M., Lawrie S. J., Tucker-Drob E. M., Wardlaw J. M., Gale C. R., & Deary I. J. (2019). Associations between vascular risk factors and brain MRI indices in UK Biobank. European Heart Journal, 40,<\/em> 2290-2300. <\/em>Link<\/a><\/p>\n\n\n\n

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Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits<\/strong><\/span><\/p>\n\n\n\n

Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T.,  Hill, W. D, Ip, H. F., Marioni, R. E., McIntosh, A. M., Deary, I. J., Koellinger, P. D., Harden, K. P., Nivard, M. G., & Tucker-Drob, E. M. (2019). Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits. Nature Human Behaviour,<\/em> 3, <\/em>513-525. [Nivard & Tucker-Drob jointly directed this work] Paper<\/a> Supplement(Text\/Figures)<\/a> Supplement(Tables)<\/a> GenomicSEM software<\/a><\/p>\n\n\n\n

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Genetic overlap between body mass index and executive functions in childhood<\/strong><\/span><\/p>\n\n\n\n

Wood, A.C., Vainik, U., Engelhardt, L. E., Briley, D. A., Grotzinger, A., Church, J. A., Harden, K. P., & Tucker-Drob, E. M. (2019) Genetic overlap between body mass index and executive functions in childhood. The American Journal of Clinical Nutrition, 110, 814\u2013822. <\/em>[Wood & Vainik contributed equally to this  work]<\/p>\n\n\n\n

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The neural architecture of executive functions is established by middle childhood<\/strong><\/span><\/p>\n\n\n\n

Engelhardt, L. E., Harden, K. P., Tucker-Drob, E. M., & Church, J. A. (2019). The neural architecture of executive functions is established by middle childhood. NeuroImage, 185,<\/em> 479-489.<\/em> PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental influences on achievement goal orientation shift with age<\/strong><\/span><\/p>\n\n\n\n

Zheng, A., Briley, D. A., Malanchini, M., Tackett, J. L., Harden, K. P., & Tucker-Drob, E. M. (2019). Genetic and environmental influences on achievement goal orientation shift with age. European Journal of Personality, 33,<\/em> 317-336. PDF<\/a><\/p>\n\n\n\n

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National Gross Domestic Product, science interest, and science achievement: A direct replication and extension of the Tucker-Drob, Cheung, and Briley (2014) study<\/strong><\/span><\/p>\n\n\n\n

Zheng, A., Tucker-Drob, E. M., & Briley, D. A. (2019). National Gross Domestic Product, science interest, and science achievement: A direct replication and extension of the Tucker-Drob, Cheung, and Briley (2014) study. Psychological Science, 30<\/em>, 776-788. <\/em>PDF<\/a><\/p>\n\n\n\n

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Testing cold and hot cognitive control as moderators of a network of comorbid psychopathology symptoms in adolescence<\/strong><\/span><\/p>\n\n\n\n

Madole, J. W., Rhemtulla, M., Grotzinger, A. D., Tucker-Drob, E. M., & Harden, K. P. (2019). Testing cold and hot cognitive control as moderators of a network of comorbid psychopathology symptoms in adolescence. Clinical Psychological Science, 7,<\/em> 701-718. PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental links between general factors of psychopathology and cognitive ability in early childhood<\/strong><\/span><\/p>\n\n\n\n

Grotzinger, A. D., Cheung, A. K., Patterson, M. W, Harden, K. P., & Tucker-Drob, E. M. (2019). Genetic and environmental links between general factors of psychopathology and cognitive ability in early childhood. Clinical Psychological Science, 7<\/i>,<\/em> 430-444. <\/em>[Grotzinger & Cheung contributed equally to this article] PDF<\/a><\/p>\n\n\n\n

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\u2018Same but different\u2019: Associations between multiple aspects of self-regulation, cognition and academic abilities<\/strong><\/span><\/p>\n\n\n\n

Malanchini, M., Engelhardt, L. E., Grotzinger, A. D., Harden, K. P., & Tucker-Drob, E. M. (2019). \u2018Same but different\u2019: Associations between multiple aspects of self-regulation, cognition and academic abilities. Journal of Personality and Social Psychology, 117<\/i><\/em>, 1164. PDF<\/a><\/p>\n\n\n\n

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Kids becoming less alike: A behavioral genetic decomposition of developmental increases in personality variance from childhood to adolescence<\/strong><\/span><\/p>\n\n\n\n

M\u00f5ttus, R., Briley, D. A., Mann, F. D., Tackett, J. L., Harden, K. P., & Tucker-Drob, E. M. (2019). Kids becoming less alike: A behavioral genetic decomposition of developmental increases in personality variance from childhood to adolescence. Journal of Personality and Social Psychology, 117,<\/em> 635-638. PDF<\/a><\/p>\n\n\n\n

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Interpreting behavior genetic models: Seven developmental processes to understand<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., Livengood, J., Derringer, J., Tucker-Drob, E. M., Fraley, R. C., & Roberts, B. W. (2019). Interpreting behavior genetic models: Seven developmental processes to understand. Behavior Genetics, 49, <\/em>196-210. PDF<\/a><\/p>\n\n\n\n

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Theoretical concepts in the genetics of personality development<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Briley, D. A. (2019). Theoretical concepts in the genetics of personality development. In Dan P. McAdams, Rebecca L. Shiner, and Jennifer L. Tackett (Eds.) Handbook of Personality Development. <\/em>Guildford. PDF<\/a><\/p>\n\n\n\n

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Twin models of environmental and genetic influences on pubertal development, salivary testosterone, and estradiol in adolescence<\/strong><\/span><\/p>\n\n\n\n

Grotzinger, A. D., Mann, F. D., Patterson, M. W., Herzhoff, K., Tackett, J. L., Tucker-Drob, E. M., & Harden, K. P. (2018). Twin models of environmental and genetic influences on pubertal development, salivary testosterone, and estradiol in adolescence. Clinical Endocrinology, 88, <\/em>243-250.<\/em><\/p>\n\n\n\n

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Genetic and environmental influences on internalizing psychopathology across age and pubertal development<\/strong><\/span><\/p>\n\n\n\n

Patterson, M. W., Mann, F. D., Grotzinger, A. D., Tackett, J. L., Tucker-Drob, E. M. & Harden, K. P. (2018). Genetic and environmental influences on internalizing psychopathology across age and pubertal development. Developmental Psychology, 54, 1928-1939.<\/em><\/p>\n\n\n\n

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Polygenic risk score for schizophrenia and structural brain connectivity in older age: a longitudinal connectome and tractography study<\/strong><\/span><\/p>\n\n\n\n

Alloza, C, Cox, S. R., C\u00e1bez, M. B., Redmond, P., Whalley, H. C., Ritchie, S. J., Maniega, S. M., Hern\u00e1ndez, M. D. C. V., Tucker-Drob, E. M., Lawrie, S. M., Wardlaw, J. M., Deary, I. J., & Bastin, M. E. (2018). Polygenic risk score for schizophrenia and structural brain connectivity in older age: a longitudinal connectome and tractography study. NeuroImage, 183,<\/em> 884-896. Link<\/a><\/p>\n\n\n\n

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Accounting for the shared environment in cognitive abilities and academic achievement with measured socioecological contexts<\/strong><\/span><\/p>\n\n\n\n

Engelhardt, L. E., Church, J. A., Harden, K. P., & Tucker-Drob, E. M. (2018). Accounting for the shared environment in cognitive abilities and academic achievement with measured socioecological contexts. Developmental Science, e12699. <\/em>PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental associations between child personality and parenting<\/strong><\/span><\/p>\n\n\n\n

Ayoub, M., Briley, D. A., Grotzinger, M. W., Patterson, M. W., Engelhardt, L. E., Tackett, J. L, Harden, K. P., & Tucker-Drob, E. M. (2018). Genetic and environmental associations between child personality and parenting. Social Psychological and Personality Science. <\/em>PDF<\/a><\/p>\n\n\n\n

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Developmental differences in reward sensitivity and sensation seeking in adolescence: Testing sex-specific associations with gonadal hormones and pubertal development<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Mann, F. D., Grotzinger, A. Patterson, M. W., Steinberg, L, Tackett, J. L., & Tucker-Drob, E. M. (2018). Developmental differences in reward sensitivity and sensation seeking in adolescence: Testing sex-specific associations with gonadal hormones and pubertal development. Journal of Personality and Social Psychology, 115, 161-178.<\/em><\/p>\n\n\n\n

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Personality risk for antisocial behavior: Testing the intersections between callous-unemotional traits, sensation seeking, and impulse control in adolescence<\/strong><\/span><\/p>\n\n\n\n

Mann, F. D., Paul, S. Tackett, J. L., Tucker-Drob, E. M., & Harden, K. P. (2018). Personality risk for antisocial behavior: Testing the intersections between callous-unemotional traits, sensation seeking, and impulse control in adolescence. Development and Psychopathology, 30, <\/em>267-282.<\/em> <\/em>PDF<\/a><\/p>\n\n\n\n

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Hair and salivary testosterone, hair cortisol, and externalizing behaviors in adolescence<\/strong><\/span><\/p>\n\n\n\n

Grotzinger, A., Mann, F. D., Patterson, M. W., Tackett, J. L., Tucker-Drob, E. M., & Harden, K. P. (2018). Hair and salivary testosterone, hair cortisol, and externalizing behaviors in adolescence. Psychological Science, 29, 688-699. <\/em>PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental influences on pubertal hormones in human hair across development<\/strong><\/span><\/p>\n\n\n\n

Grotzinger, A. D., Briley, D. A., Engelhardt, L. E., Mann, F. D., Patterson, M. W., Tackett, J. L., Tucker-Drob, E. M., & Harden, K. P. (2018). Genetic and environmental influences on pubertal hormones in human hair across development, 90, <\/em>76-84. Psychoneuroendocrinology. <\/em>Link<\/a> (to preprint)<\/p>\n\n\n\n

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How much does education improve intelligence? A meta-analysis<\/strong><\/span><\/p>\n\n\n\n

Ritchie, S. J., & Tucker-Drob, E. M. (2018). How much does education improve intelligence? A meta-analysis. Psychological Science, 29, 1358-1369. <\/em>PDF<\/a><\/p>\n\n\n\n

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Early shared reading, socioeconomic status, and children\u2019s later academic achievement: Six years of longitudinal evidence<\/strong><\/span><\/p>\n\n\n\n

Shahaeian, A, Wang, C., Tucker-Drob, E. M., Geiger, V., Bus, A., & Harrison, L. (2018). Early shared reading, socioeconomic status, and children\u2019s later academic achievement: Six years of longitudinal evidence. Scientific Studies of Reading, 6,<\/em> 485-502. Link<\/a><\/p>\n\n\n\n

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Does the heritability of cognitive abilities vary as a function of parental education? Evidence from a German twin sample<\/strong><\/p>\n\n\n\n

Spengler, M., Gottschling, J., Hahn, E., Tucker-Drob, E. M., Harzer, C., & Spinath, F. M. (2018). Does the heritability of cognitive abilities vary as a function of parental education? Evidence from a German twin sample. PLOS ONE, 13(5):<\/em> e0196597.<\/p>\n\n\n\n

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Motivational factors as mechanisms of gene-environment transactions in\u00a0cognitive development and academic achievement<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2018). Motivational factors as mechanisms of gene-environment transactions in cognitive development and academic achievement. In A. Elliot, C. Dweck, & D. Yeager (Editors),<\/em> Handbook of Competence and Motivation, 2nd<\/sup> Edition: Theory and Application.<\/a> <\/em>Guildford Press. PDF<\/a><\/p>\n\n\n\n

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How do individual experiences aggregate to shape personality development?<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2017). How do individual experiences aggregate to shape personality development? [Comment] European Journal of Personality, 31, 529-595.<\/em> PDF<\/a><\/p>\n\n\n\n

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Gendered expectations distort male-female differences in instrumental activities of daily living in later adulthood<\/strong><\/span><\/p>\n\n\n\n

Sheehan, C. M., & Tucker-Drob, E. M. (2017). Gendered expectations distort male-female differences in instrumental activities of daily living in later adulthood. Journals of Gerontology: Social Sciences, <\/em>gbw209. <\/em>PDF<\/a><\/p>\n\n\n\n

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Education in twins and their parents across birth cohorts over 100 years: An individual-level pooled analysis of 42-twin cohorts<\/strong><\/span><\/p>\n\n\n\n

Silventoinen, K. et al. [CODA Consortium]. (2017) Education in twins and their parents across birth cohorts over 100 years: An individual-level pooled analysis of 42-twin cohorts. Twin Research and Human Genetics, 20, <\/em>395-405. PDF<\/a><\/p>\n\n\n\n

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Measurement error correction of genome-wide polygenic scores in prediction samples<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2017). Measurement error correction of genome-wide polygenic scores in prediction samples. bioR\u03c7iv.\u00a0<\/em>Link<\/a>\u00a0(to preprint)<\/p>\n\n\n\n

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Theoretical concepts in the genetics of expertise<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2017). Theoretical concepts in the genetics of expertise. In D. Z. Hambrick, G. Campitelli, & B. Macnamara (Editors), The Science of Expertise: Behavioral, Neural, and Genetic Approaches to Complex Skill<\/em>. <\/em>Routledge. PDF<\/a><\/p>\n\n\n\n

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A behavioral genetic perspective on noncognitive factors and academic achievement<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Harden, K. P. (2017). A behavioral genetic perspective on noncognitive factors and academic achievement. In S. Bouregy, E. Grigorenko, S. Latham, & M. Tan (Editors),<\/em> Current Perspectives in Psychology: Genetics, Ethics and Education. <\/em>Cambridge University Press. PDF<\/a><\/p>\n\n\n\n

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Exploring the co-development of reading fluency and reading comprehension: A twin study<\/strong><\/span><\/p>\n\n\n\n

Little, C. W., Hart, S. A., Quinn, J. M., Tucker-Drob, E. M., Taylor, J., & Schatschneider, C. (2017). Exploring the co-development of reading fluency and reading comprehension: A twin study. Child Development,<\/em> 88, <\/em>934-945. <\/em>PDF<\/a><\/p>\n\n\n\n

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Beyond dual systems: A genetically-informed, latent factor model of behavioral and self-report measures related to adolescent risk-taking<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Kretsch, N., Mann, F. D., Herzhoff, K., Tackett, J. L., Steinberg, L., & Tucker-Drob, E. M. (2017). Beyond dual systems: A genetically-informed, latent factor model of behavioral and self-report measures related to adolescent risk-taking. Developmental Cognitive Neuroscience, 25,<\/em> 221-234. <\/em>Link<\/a> (Open Access)<\/p>\n\n\n\n

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Multivariate analysis of genetic and environmental influences on parenting in adolescence<\/strong><\/span><\/p>\n\n\n\n

Patterson, M. W., Cheung, A. K., Mann, F. D., Tucker-Drob, E. M., & Harden, K. P. (2017). Multivariate analysis of genetic and environmental influences on parenting in adolescence. Journal of Family Psychology, 31, 532-541.<\/em> PDF<\/a><\/p>\n\n\n\n

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Mothers\u2019 early depressive symptoms and preschoolers\u2019 behavioral problems: The moderating role of genetic influences<\/strong><\/span><\/p>\n\n\n\n

Yan, N., Benner, A., Tucker-Drob, E. M., & Harden, K. P. (2017). Mothers\u2019 early depressive symptoms and preschoolers\u2019 behavioral problems: The moderating role of genetic influences. Child Psychiatry & Human Development, 48<\/em>, 434-443.<\/p>\n\n\n\n

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Longitudinal changes in reading network connectivity related to skill improvement<\/strong><\/span><\/p>\n\n\n\n

Younger, J. W., Tucker-Drob, E. M., & Booth, J. R. (2017). Longitudinal changes in reading network connectivity related to skill improvement. NeuroImage, 158, <\/em>90-98. PDF<\/a><\/p>\n\n\n\n

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Children\u2019s head motion during fMRI tasks is heritable and stable over time<\/strong><\/span><\/p>\n\n\n\n

Engelhardt, L. E, Roe, M. A., Juranek, J., DeMaster, D., Harden, K. P., Tucker-Drob, E. M., & Church, J. A. (2017). Children\u2019s head motion during fMRI tasks is heritable and stable over time. Developmental Cognitive Neuroscience, 25,<\/em> 58-68. <\/em>Link<\/a> (Open Access)<\/p>\n\n\n\n

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Risk and protective factors for structural brain aging in the eighth decade of life<\/strong><\/span><\/p>\n\n\n\n

Ritchie, S. J., Tucker-Drob, E. M., Cox, S. R., Dickie, D. A., Hern\u00e1ndez, M. C. V. Corley, J., Royle, N. A., Redmond, P., Maniega, S. M., Pattie, A., Aribisala, B. S., Taylor, A. M., Clarke, T. K., Gow, A. J., Starr, J. M., Bastin, M. E., Wardlaw, J. M. & Deary, I. J. (2017). Risk and protective factors for structural brain aging in the eighth decade of life. Brain Structure and Function, 222, 3477-3490. <\/em>Link<\/a> (Open Access)<\/p>\n\n\n\n

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Genetic influences on hormonal markers of chronic hypothalamic\u2013pituitary\u2013adrenal function in human hair<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Grotzinger, A. D., Briley, D. A., Engelhardt, L. E., Mann, F. D., Patterson, M., Kirschbaum, C., Adam, E. Church, J. A., Tackett, J. L., & Harden, K. P. (2017). Genetic influences on hormonal markers of chronic hypothalamic\u2013pituitary\u2013adrenal function in human hair. Psychological Medicine, 47<\/em>, <\/em>1398-1401. PDF<\/a><\/p>\n\n\n\n

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Comparing the developmental genetics of cognition and personality over the life span. (Special Issue: The new look of behavior genetics in social inequality: Gene-environment interplay in life chances)<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A. & Tucker-Drob, E. M. (2017). Comparing the developmental genetics of cognition and personality over the life span. (Special Issue: The new look of behavior genetics in social inequality: Gene-environment interplay in life chances). Journal of Personality<\/em>, 85,<\/em> 51-64. PDF<\/a><\/p>\n\n\n\n

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Callous-unemotional traits moderate genetic and environmental influences on rule-breaking and aggression: Evidence for gene \u00d7 trait interaction<\/strong><\/p>\n\n\n\n

Mann, F. D., Tackett, J. L., Tucker-Drob, E. M., & Harden, K. P. (2018). Callous-unemotional traits moderate genetic and environmental influences on rule-breaking and aggression: Evidence for gene \u00d7 trait interaction. Clinical Psychological Science, 6, 123-133.\u00a0<\/em>PDF<\/a><\/p>\n\n\n\n

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Sensation seeking and impulsive traits as personality endophenotypes for antisocial behavior: Evidence from two independent samples<\/strong><\/span><\/p>\n\n\n\n

Mann, F. D., Engelhardt, L. E., Briley, D. A., Grotzinger, A. D., Patterson, M. W., Tackett, J. L., Statham, D. J., Heath, A., Lynskey, M. T., Slutske, W., Martin, N. G., Tucker-Drob, E. M., & Harden, K. P. (2017). Sensation seeking and impulsive traits as personality endophenotypes for antisocial behavior: Evidence from two independent samples. Personality and Individual Differences, 105, <\/em>30-39. PDF<\/a><\/p>\n\n\n\n

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Ageing and brain white matter structure in 3,513 UK Biobank participants<\/strong><\/span><\/p>\n\n\n\n

Cox, S. R., Ritchie, S. J., Tucker-Drob, E. M., Liewald, D. C., Hagenaars, S. P., Davies, G., Wardlaw, J. M., Gale, C. G., Bastin, M. E., & Deary, I. J. (2016). Ageing and brain white matter structure in 3,513 UK Biobank participants. Nature Communications, 7,<\/em> 1-13.<\/em> Link<\/a> (Open Access)<\/p>\n\n\n\n

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Genetically-mediated associations between measures of childhood character and academic achievement<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Briley, D. A., Engelhardt, L. E., Mann, F. D. & Harden, K. P. (2016). Genetically-mediated associations between measures of childhood character and academic achievement. Journal of Personality and Social Psychology, 111,<\/em> 790-815. <\/em>PDF<\/a><\/p>\n\n\n\n

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Strong genetic overlap between executive functions and intelligence<\/strong><\/span><\/p>\n\n\n\n

Engelhardt, L. E., Mann, F. D., Briley, D. A, Church, J. A., Harden, K. P., & Tucker-Drob, E. M. (2016). Strong genetic overlap between executive functions and intelligence. Journal of Experimental Psychology: General, 145,<\/em> 1141-1159. <\/em>PDF<\/a><\/p>\n\n\n\n

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Predictors of ageing-related decline across multiple cognitive functions<\/strong><\/span><\/p>\n\n\n\n

Ritchie, S. J., Tucker-Drob, E. M., Cox, S. R., Corley, J., Dykiert, D., Redmond, P., Pattie, A., Taylor, A., Sibbett, R., Starr, J. M., & Deary, I. J. (2016). Predictors of ageing-related decline across multiple cognitive functions. Intelligence, 59,<\/em> 115-126. <\/em>Link<\/a> (Open Access)<\/p>\n\n\n\n

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Do cognitive and physical functions age in concert from age 70 to 76? Evidence from the Lothian Birth Cohort 1936<\/strong><\/span><\/p>\n\n\n\n

Ritchie, S. J., Tucker-Drob, E. M., Starr, J. M., & Deary, I. J. (2016). Do cognitive and physical functions age in concert from age 70 to 76? Evidence from the Lothian Birth Cohort 1936. Spanish Journal of Psychology, 19, <\/em>1-12. Link<\/a> (Open Access)<\/p>\n\n\n\n

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Genetic and environmental effects on body mass index from infancy to the onset of adulthood: An individual-based pooled analysis of 45 twin cohorts participating in the CODATwins study<\/strong><\/span><\/p>\n\n\n\n

Silventoinen, K. et al. [Consortium]. (2016). Genetic and environmental effects on body mass index from infancy to the onset of adulthood: An individual-based pooled analysis of 45 twin cohorts participating in the CODATwins study. American Journal of Clinical Nutrition, 104<\/i>, <\/em>371-379. <\/em>PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts<\/strong><\/span><\/p>\n\n\n\n

Jelenkovic, A. et al. [CODA Consortium]. (2016). Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts. Scientific Reports, 6. <\/em>PDF<\/a><\/p>\n\n\n\n

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Sensation seeking, peer deviance, and genetic influences on adolescent delinquency: Evidence for person-environment correlation and interaction<\/strong><\/span><\/p>\n\n\n\n

Mann, F. D., Patterson, M. W., Grotzinger, A. D., Kretsch, N., Tackett, J. L., Tucker-Drob, E. M., & Harden, K. P. (2016). Sensation seeking, peer deviance, and genetic influences on adolescent delinquency: Evidence for person-environment correlation and interaction. Journal of Abnormal Psychology, 125<\/em>, 679-691.<\/p>\n\n\n\n

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Multivariate behavioral genetic analysis of parenting in early childhood<\/strong><\/span><\/p>\n\n\n\n

Cheung, A. K, Harden, K. P., & Tucker-Drob, E. M. (2016). Multivariate behavioral genetic analysis of parenting in early childhood. Parenting: Science and<\/em> Practice, 16, 257-283. <\/em>PDF<\/a><\/p>\n\n\n\n

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Large cross-national differences in gene \u00d7 socioeconomic status interaction on intelligence<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Bates, T. C. (2016). Large cross-national differences in gene \u00d7 socioeconomic status interaction on intelligence. Psychological Science, 27,<\/em> 138-149. [Both authors contributed equally to this article] PDF<\/a><\/p>\n\n\n\n

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Developmental changes in genetic and environmental influences on rule-breaking and aggression: Age and pubertal development<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Patterson, M. W., Briley, D. A., Engelhardt, L. E., Kretsch, N., Mann, F. D., Tackett, J.,& Tucker-Drob, E. M. (2015). Developmental changes in genetic and environmental influences on rule-breaking and aggression: Age and pubertal development. Journal of Child Psychology and Psychiatry, 56,<\/em> 1370-1379. <\/em>PDF<\/a><\/p>\n\n\n\n

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A behavior\u00a0genetic analysis of callous-unemotional traits and Big Five personality in adolescence<\/strong><\/span><\/p>\n\n\n\n

Mann, F. D., Briley, D. A., Tackett, J., Tucker-Drob, E. M., & Harden, K. P. (2015). A behavior genetic analysis of callous-unemotional traits and Big Five personality in adolescence. Journal of Abnormal Psychology, 124,<\/em> 982-993. PDF<\/a><\/p>\n\n\n\n

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Nonparametric estimates of gene \u00d7 environment interaction using local structural equation modeling<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., Bates, T. C., Harden, K. P., & Tucker-Drob, E. M.  (2015). Nonparametric estimates of gene \u00d7 environment interaction using local structural equation modeling. Behavior Genetics 45,<\/em> 581-596. PDF<\/a> Supplement<\/a> Recipient of Fulker Award<\/a> for best paper published in Behavior Genetics <\/em>in 2015.<\/p>\n\n\n\n

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From specialist to generalist: Developmental transformations in the genetic structure of early child abilities<\/strong><\/span><\/p>\n\n\n\n

Cheung, A. K., Harden, K. P., & Tucker-Drob, E. M. (2015). From specialist to generalist: Developmental transformations in the genetic structure of early child abilities. Developmental Psychobiology, 57, <\/em>566-533. <\/em>PDF<\/a><\/p>\n\n\n\n

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Zygosity differences in height and relative weight\u00a0of twins from infancy to old age: A study of the CODAtwins project<\/strong><\/span><\/p>\n\n\n\n

Jelenkovic, A. et al. [Consortium]. (2015). Zygosity differences in height and relative weight of twins from infancy to old age: A study of the CODAtwins project. Twin Research and Human Genetics, 18, <\/em>557-570.<\/p>\n\n\n\n

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The CODAtwins project: The cohort description of Collaborative project of Development of Anthropometrical measures in Twins to study macro-environmental variation in genetic and environmental effects on anthropometric traits<\/strong><\/span><\/p>\n\n\n\n

Silventoinen, K. et al. [Consortium]. (2015) The CODAtwins project: The cohort description of Collaborative project of Development of Anthropometrical measures in Twins to study macro-environmental variation in genetic and environmental effects on anthropometric traits. Twin Research and Human Genetics, 18, <\/em>348-360. <\/em>PDF<\/a><\/p>\n\n\n\n

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Coupled changes in brain white matter microstructure\u00a0and fluid intelligence in later life<\/strong><\/span><\/p>\n\n\n\n

Ritchie, S. J., Bastin, M., Tucker-Drob, E. M., Maniega, S. M., Engelhardt, L. E., Cox, S., Royle, N. A., Gow, A. J., Corley, J, Pattie, A., Taylor, A., Hernandez, M. V., Starr, J. M., Wardlaw, J. M., & Deary, I. J. (2015). Coupled changes in brain white matter microstructure and fluid intelligence in later life. Journal of Neuroscience, 35, <\/em>8672-8682. [The first three authors contributed equally to this work] PDF<\/a><\/p>\n\n\n\n

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Genes unite executive functions in childhood<\/strong><\/span><\/p>\n\n\n\n

Engelhardt, L., Briley, D. A., Mann, F. D., Harden, K. P., & Tucker-Drob, E. M. (2015). Genes unite executive functions in childhood. Psychological Science, 26,<\/em> 1151-1163. PDF<\/a><\/p>\n\n\n\n

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Person \u00d7 environment interactions in adolescent delinquency: Sensation seeking, peer deviance, and parental monitoring<\/strong><\/span><\/p>\n\n\n\n

Mann, F. D., Kretsch, N., Tackett, J., Harden, K. P., & Tucker-Drob, E. M. (2015). Person \u00d7 environment interactions in adolescent delinquency: Sensation seeking, peer deviance, and parental monitoring. Personality and Individual Differences, 76, <\/em>129-134. PDF<\/a><\/p>\n\n\n\n

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The genetics of music accomplishment: Evidence for gene-environment interaction and correlation<\/strong><\/span><\/p>\n\n\n\n

Hambrick. D. Z., & Tucker-Drob, E. M. (2015). The genetics of music accomplishment: Evidence for gene-environment interaction and correlation. Psychonomic Bulletin and Review, 22, <\/em>112-120. PDF<\/a> Coverage by Scientific American<\/a><\/p>\n\n\n\n

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Genotype \u00d7 cohort interaction on completed fertility and age at first birth<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., Harden, K. P., & Tucker-Drob, E. M. (2015). Genotype \u00d7 cohort interaction on completed fertility and age at first birth. Behavior Genetics, 45, <\/em>71-83. <\/em>PDF<\/a><\/p>\n\n\n\n

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Gross domestic product, science Interest, and science achievement: A person \u00d7 nation interaction<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Cheung, A. K., & Briley, D. A. (2014). Gross domestic product, science Interest, and science achievement: A person \u00d7 nation interaction. Psychological Science, 25, <\/em>2047-2057.<\/em> PDF<\/a><\/p>\n\n\n\n

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Child characteristics and parental educational expectations: Evidence for transmission with transaction<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., Harden, K. P., & Tucker-Drob, E. M. (2014). Child characteristics and parental educational expectations: Evidence for transmission with transaction. Developmental Psychology, 50, <\/em>2614-2632. PDF<\/a><\/p>\n\n\n\n

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Continuity of genetic and environmental influences on cognition across the life span: A meta-analysis of longitudinal twin and adoption studies<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Briley, D. A. (2014). Continuity of genetic and environmental influences on cognition across the life span: A meta-analysis of longitudinal twin and adoption studies. Psychological Bulletin, 140, <\/em>949-979. <\/em>PDF<\/a><\/p>\n\n\n\n

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A strong link between speed of visual discrimination and cognitive ageing<\/strong><\/span><\/p>\n\n\n\n

Ritchie, S. J., Tucker-Drob, E. M., & Deary, I. J. (2014). A strong link between speed of visual discrimination and cognitive ageing. Current Biology, 24<\/em>, R681-R683. PDF<\/a> Supplement<\/a> Coverage by BBC<\/a><\/p>\n\n\n\n

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Gene \u00d7 environment interactions in early externalizing behaviors: Parental emotional support and socioeconomic context as moderators of genetic influences?<\/strong><\/span><\/p>\n\n\n\n

Cheung, A. K., Harden, K. P., & Tucker-Drob, E. M. (2014). Gene \u00d7 environment interactions in early externalizing behaviors: Parental emotional support and socioeconomic context as moderators of genetic influences? Behavior Genetics, 44, <\/em>468-486. PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental continuity in personality development: A meta-analysis<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., & Tucker-Drob, E. M.  (2014). Genetic and environmental continuity in personality development: A meta-analysis. Psychological Bulletin, 140, <\/em>1303-1331. <\/em>PDF<\/a><\/p>\n\n\n\n

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Structure and correlates of cognitive aging in a narrow age cohort<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Briley, D. A., Starr, J. M., & Deary, I. J. (2014). Structure and correlates of cognitive aging in a narrow age cohort. Psychology and Aging, 29,<\/em>236-249.<\/em> PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental influences on testosterone levels in adolescents: Evidence for sex differences<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Kretsch, N., Tackett, J. L., & Tucker-Drob, E. M. (2014). Genetic and environmental influences on testosterone levels in adolescents: Evidence for sex differences. Developmental Psychobiology, 56, <\/em>1278-1289.<\/em> PDF<\/a><\/p>\n\n\n\n

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Shared and unique genetic and environmental influences on aging-related changes in multiple cognitive abilities<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Reynolds, C., Finkel, D., & Pedersen, N. L. (2014). Shared and unique genetic and environmental influences on aging-related changes in multiple cognitive abilities. Developmental Psychology,<\/em> 152-166.<\/em> PDF<\/a><\/p>\n\n\n\n

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Cortisol reactivity and recovery in the context of adolescent personality disorder<\/strong><\/span><\/p>\n\n\n\n

Tackett, J., Kushner, S. C., Josephs, R. A., Harden, K. P., Page-Gould, E., & Tucker-Drob, E. M. (2014). Cortisol reactivity and recovery in the context of adolescent personality disorder. Journal of Personality Disorders, 28, <\/em>25-39. PDF<\/a><\/p>\n\n\n\n

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Achievement-relevant personality: Relations with the Big Five and validation of an efficient instrument<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., Domiteaux, M., & Tucker-Drob, E. M. (2014). Achievement-relevant personality: Relations with the Big Five and validation of an efficient instrument. Learning and Individual Differences, 32,<\/em> 26-39. PDF<\/a><\/p>\n\n\n\n

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How many pathways underlie socioeconomic differences in the development of cognition and achievement?<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2013). How many pathways underlie socioeconomic differences in the development of cognition and achievement? Learning and Individual Differences, 25, <\/em>12-20.<\/em> PDF<\/a><\/p>\n\n\n\n

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Gene-by-preschool interaction on the development of early externalizing problems<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Harden, K. P. (2013). Gene-by-preschool interaction on the development of early externalizing problems. Journal of Child Psychology and Psychiatry, 54, <\/em>77-85.<\/em> PDF<\/a><\/p>\n\n\n\n

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Genetic and environmental influences on cognition across development and context<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Briley, D. A., & Harden, K. P. (2013). Genetic and environmental influences on cognition across development and context. Current Directions in Psychological Science, 22<\/em>, 349-355. PDF<\/a><\/p>\n\n\n\n

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The Texas Twin Project<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Tucker-Drob, E. M., & Tackett, J. L. (2013). The Texas Twin Project. Twin Research and Human Genetics [Special Issue: Twin registers as a global resource for genetic research: An update]<\/em>, 16,<\/em> 385-390. PDF<\/a><\/p>\n\n\n\n

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Explaining the increasing heritability of cognition over development: A meta-analysis of longitudinal twin and adoption studies<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., & Tucker-Drob, E. M. (2013). Explaining the increasing heritability of cognition over development: A meta-analysis of longitudinal twin and adoption studies. Psychological Science, 24, <\/em>1704-1713. PDF<\/a><\/p>\n\n\n\n

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Preschools reduce early academic achievement gaps: A longitudinal twin approach<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2012). Preschools reduce early academic achievement gaps: A longitudinal twin approach. Psychological Science, 23, <\/em>310-319.<\/em> PDF<\/a> Coverage by Wired.com<\/a><\/p>\n\n\n\n

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Intellectual interest mediates gene-by-socioeconomic status interaction on adolescent academic achievement<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Harden, K. P. (2012). Intellectual interest mediates gene-by-socioeconomic status interaction on adolescent academic achievement. Child Development, 83, <\/em>743-757. <\/em>PDF<\/a><\/p>\n\n\n\n

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Early childhood cognitive development and parental cognitive stimulation: Evidence for reciprocal gene-environment transactions<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Harden, K. P. (2012). Early childhood cognitive development and parental cognitive stimulation: Evidence for reciprocal gene-environment transactions. Developmental Science, 15, <\/em>250-259. <\/em>PDF<\/a><\/p>\n\n\n\n

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Learning motivation mediates gene-by-socioeconomic status interaction on early mathematics achievement<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Harden, K. P. (2012). Learning motivation mediates gene-by-socioeconomic status interaction on early mathematics achievement. Learning and Individual Differences, 22, <\/em>37-45.<\/em> PDF<\/a><\/p>\n\n\n\n

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Socioeconomic status modifies interest-knowledge associations among adolescents<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Briley, D. A. (2012). Socioeconomic status modifies interest-knowledge associations among adolescents. Personality and Individual Differences, 53, <\/em>9-15.<\/em> PDF<\/a><\/p>\n\n\n\n

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Gene-by-socioeconomic status interaction on school readiness<\/strong><\/span><\/p>\n\n\n\n

Rhemtulla, M., & Tucker-Drob, E. M. (2012). Gene-by-socioeconomic status interaction on school readiness. Behavior Genetics, 42, <\/em>549-558.<\/em> PDF<\/a> Mplus Scripts for Power Analysis: A<\/a> B<\/a><\/p>\n\n\n\n

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Genetically influenced changes in sensation seeking drive the rise of delinquent behavior in adolescence<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., Quinn, P. D., & Tucker-Drob, E. M. (2012). Genetically influenced changes in sensation seeking drive the rise of delinquent behavior in adolescence. Developmental Science, 15, <\/em>150-163. PDF<\/a><\/em><\/p>\n\n\n\n

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Broad bandwidth or high fidelity? Evidence from the structure of genetic and environmental effects on the facets of the five factor model<\/strong><\/span><\/p>\n\n\n\n

Briley, D. A., & Tucker-Drob, E. M. (2012). Broad bandwidth or high fidelity? Evidence from the structure of genetic and environmental effects on the facets of the five factor model. Behavior Genetics, 42, <\/em>743-763.<\/em> PDF<\/a><\/p>\n\n\n\n

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Neurocognitive functions and everyday functions change together in old age<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2011). Neurocognitive functions and everyday functions change together in old age. Neuropsychology, 25, <\/em>368-377. PDF<\/a><\/p>\n\n\n\n

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Individual differences methods for randomized experiments<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M.  (2011). Individual differences methods for randomized experiments. Psychological Methods, 16, <\/em>298-318.<\/em> PDF<\/a> Supplement<\/a><\/p>\n\n\n\n

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Global and domain-specific changes in cognition throughout adulthood<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2011). Global and domain-specific changes in cognition throughout adulthood. Developmental Psychology, 47, <\/em>331-343.<\/em> PDF<\/a><\/p>\n\n\n\n

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Individual differences in cognitive aging<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Salthouse, T. A. (2011). Individual differences in cognitive aging. In Chamorro-Premuzic, T., von Stumm, S., & Furnham, A., (Eds.) The Wiley-Blackwell Handbook of Individual Differences, <\/em>First Edition<\/a> (pp. 242-267). <\/em>London: Wiley-Blackwell. PDF<\/a><\/p>\n\n\n\n

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Emergence of a gene-by-socioeconomic status interaction on infant mental ability between 10 months and 2 years<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Rhemtulla, M., Harden, K. P., Turkheimer, E., & Fask, D. (2011). Emergence of a gene-by-socioeconomic status interaction on infant mental ability between 10 months and 2 years. Psychological Science, 22, <\/em>125-133. PDF<\/a> Coverage by Wall Street Journal<\/em><\/a> Editors’ Choice at Science<\/em><\/a><\/p>\n\n\n\n

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Correlated longitudinal changes across linguistic, achievement, and psychomotor domains in early childhood: Evidence for a global dimension of development<\/strong><\/span><\/p>\n\n\n\n

Rhemtulla, M., & Tucker-Drob, E. M. (2011). Correlated longitudinal changes across linguistic, achievement, and psychomotor domains in early childhood: Evidence for a global dimension of development. Developmental Science, 14,<\/em>1245-1254.<\/em> PDF<\/a><\/p>\n\n\n\n

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Individual differences in the development of sensation seeking and impulsivity during adolescence: Further evidence for a dual systems model<\/strong><\/span><\/p>\n\n\n\n

Harden, K. P., & Tucker-Drob, E. M. (2011). Individual differences in the development of sensation seeking and impulsivity during adolescence: Further evidence for a dual systems model. Developmental Psychology, 47, <\/em>739-746. <\/em>PDF<\/a><\/p>\n\n\n\n

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Differentiation of cognitive abilities across the life span<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. (2009). Differentiation of cognitive abilities across the life span. Developmental Psychology, 45<\/em>, 1097-1118. PDF<\/a> Supplement<\/a><\/p>\n\n\n\n

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Confirmatory factor analysis and multidimensional scaling for construct validation of cognitive abilities<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M. & Salthouse, T. A. (2009). Confirmatory factor analysis and multidimensional scaling for construct validation of cognitive abilities. International Journal of Behavioral Development, 33<\/em>, 277-285. PDF<\/a><\/p>\n\n\n\n

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The cognitive reserve hypothesis: A longitudinal examination of age-associated declines in reasoning and processing speed<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Johnson, K. E., & Jones, R. N. (2009). The cognitive reserve hypothesis: A longitudinal examination of age-associated declines in reasoning and processing speed. Developmental Psychology, 45<\/em>, 431-446. PDF<\/a><\/p>\n\n\n\n

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Combining nonlinear biometric and psychometric models of cognitive abilities<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., Harden, K. P., & Turkheimer, E. (2009). Combining nonlinear biometric and psychometric models of cognitive abilities. Behavior Genetics, 39,<\/em>461-471. PDF<\/a> Mplus Scripts for Simulation Study: A<\/a> B<\/a><\/p>\n\n\n\n

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Within-person variability in state anxiety across adulthood: Magnitude and associations with between-person characteristics<\/strong><\/span><\/p>\n\n\n\n

Gerstorf, D., Siedlecki, K. L., Tucker-Drob, E. M., & Salthouse, T. A. (2009). Within-person variability in state anxiety across adulthood: Magnitude and associations with between-person characteristics. International Journal of Behavioral Development, 33, <\/em>55-64. PDF<\/a><\/p>\n\n\n\n

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Implications of short-term retest effects for the interpretation of longitudinal change<\/strong><\/span><\/p>\n\n\n\n

Salthouse, T. A., & Tucker-Drob, E. M. (2008). Implications of short-term retest effects for the interpretation of longitudinal change. Neuropsychology, 22<\/em>, 800-811. PDF<\/a><\/p>\n\n\n\n

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Contextual analysis of fluid intelligence<\/strong><\/span><\/p>\n\n\n\n

Salthouse, T. A., Pink, J. E., & Tucker-Drob, E. M. (2008). Contextual analysis of fluid intelligence. Intelligence, 36<\/em>, 464-486. PDF<\/a><\/p>\n\n\n\n

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Adult age trends in the relations among cognitive abilities<\/strong><\/span><\/p>\n\n\n\n

Tucker-Drob, E. M., & Salthouse, T. A. (2008). Adult age trends in the relations among cognitive abilities. Psychology and Aging, 23<\/em>, 453-460. PDF<\/a><\/p>\n\n\n\n

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Life satisfaction across adulthood: Different determinants at different ages?<\/strong><\/span><\/p>\n\n\n\n

Siedlecki, K. L., Tucker-Drob, E. M., Oishi, S., & Salthouse, T. A. (2008).  Life satisfaction across adulthood: Different determinants at different ages? Journal of Positive Psychology, 3, <\/em>153-164. PDF<\/a><\/p>\n\n\n\n

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Executive dysfunctions across adulthood: Measurement properties and correlates of the DEX self-report questionnaire<\/strong><\/span><\/p>\n\n\n\n

Gerstorf, D., Siedlecki, K. L., Tucker-Drob, E. M., & Salthouse, T. A. (2008). Executive dysfunctions across adulthood: Measurement properties and correlates of the DEX self-report questionnaire. Aging, Neuropsychology, and Cognition, 15, <\/em>1-22. PDF<\/a><\/p>\n\n\n\n

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Correlates of individual and age-related differences in short term learning<\/strong><\/span><\/p>\n\n\n\n

Zhang, Z., Davis, H. P., Salthouse, T. A., & Tucker-Drob, E. M. (2007). Correlates of individual and age-related differences in short term learning.Learning and Individual Differences, 17, <\/em>231-240. PDF<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Publications Comparison of the multivariate genetic architecture of eight major psychiatric disorders across sex. Schwaba, T., Mallard, T. T., Maihofer, A. X., Rhemtulla, M., Lee, P. H., Smoller, J. W., Davis, L., Nivard, M. G., Grotzinger, A. D., & Tucker-Drob, E. M. (accepted). Comparison of the multivariate genetic architecture of eight major psychiatric disorders across […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_uag_custom_page_level_css":"","footnotes":""},"class_list":["post-23","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"sgv287","author_link":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/author\/sgv287\/"},"uagb_comment_info":6,"uagb_excerpt":"Publications Comparison of the multivariate genetic architecture of eight major psychiatric disorders across sex. Schwaba, T., Mallard, T. T., Maihofer, A. X., Rhemtulla, M., Lee, P. H., Smoller, J. W., Davis, L., Nivard, M. G., Grotzinger, A. D., & Tucker-Drob, E. M. (accepted). Comparison of the multivariate genetic architecture of eight major psychiatric disorders across…","_links":{"self":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages\/23","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/comments?post=23"}],"version-history":[{"count":507,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages\/23\/revisions"}],"predecessor-version":[{"id":1695,"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/pages\/23\/revisions\/1695"}],"wp:attachment":[{"href":"https:\/\/labs.la.utexas.edu\/tucker-drob-rsb\/wp-json\/wp\/v2\/media?parent=23"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}