Publications

Forthcoming

2023

• A Giannelis, EA Willoughby, R Corley, C Hopfer, JK Hewitt, WG Iacono, J Anderson, A Rustichini, S Vrieze, M McGue, JJ Lee. The association between saving disposition and financial distress: A genetically informed approach. Journal of Economic Psychology, 96, 102610. Main text, supplementary information. DOI:10.1016/joep.2023.102610
• EA Willoughby, Y Kim, JJ Lee, CG DeYoung. The construct validity of Intellect and Openness as distinct aspects of personality through differential associations with reaction time. Journal of Intelligence, 11, 30. Main text. DOI:10.3390/jintelligence11020030

2022

• GRB Saunders, X Wang, F Chan, S-K Jang, M Liu, C Wang, et al. Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature, 612, 720-724. Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/s41586-022-05477-4
• M McGue, EL Anderson, EA Willoughby, A Giannelis, WG Iacono, JJ Lee. Not by g alone: The benefits of a college education among individuals with low levels of general cognitive ability. Intelligence, 92, 101642. Main text, online supplement. DOI:10.1016/j.intell.2022.101642
• LJ Howe, MG Nivard, TT Morris, AF Hansen, H Rasheed, Y Cho, G Chittoor, R Ahlskog, PA Lind, T Palviainen, MD van der Zee, R Cheesman, M Mangino, Y Wang, S Li, L Klaric, SM Ratliff, LF Bielak, M Nygaard, A Giannelis, EA Willoughby, et al. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects. Nature Genetics, 54, 581-592.  Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/s41588-022-01062-7
• A Okbay et al. Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature Genetics, 54, 437-449. Main text, supplementary information, supplementary tables, podcast. DOI:10.1038/s41588-022-01016-z

2021

• EA Willoughby, A Giannelis, S Ludeke, R Klemmensen, AS Nørgaard, WG Iacono, JJ Lee, M McGue. Parent contributions to the development of political attitudes in adoptive and biological families. Psychological Science, 32, 2023-2034. Main text, supplementary information. DOI:10.1177/09567976211021844
• EA Willoughby, JJ Lee. Parsing information flow in speeded cognitive tasks: The associations of g with perception and decision time. Journal of Experimental Psychology: Learning, Memory, and Cognition, 47, 1792-1809. Main text, supplementary information, data. DOI:10.1037/xlm0001026
• EA Willoughby, M McGue, WG Iacono, JJ Lee. Genetic and environmental contributions to IQ in adoptive and biological families with 30-year-old offspring. Intelligence, 88, 101579. Main text, supplementary information. DOI:10.1016/j.intell.2021.101579
• EA Willoughby, M McGue, WG Iacono, A Rustichini, JJ Lee. The role of parental genotype in predicting offspring years of education: Evidence for genetic nurture. Molecular Psychiatry, 26, 3896-3904. Main text, corrected supplementary material. DOI:10.1038/s41380-019-0494-1
• SFW Meddens, R de Vlaming, P Bowers, et al. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle. Molecular Psychiatry, 26, 2056-2069. Main text, supplementary information, supplementary tables, supplementary figures, summary statistics. DOI:10.1038/s41380-020-0697-5
• EA Willoughby, JJ Lee. Genetic and neural predictors of intelligence. In AK Barbey, S Karama, RJ Haier (Eds.), The Cambridge Handbook of Intelligence and Cognitive Neuroscience (pp. 349-364). Cambridge University Press. Preliminary draft. DOI:10.1017/9781108635462.022
• D McGuire, Y Jiang, M Liu, et al. Model-based assessment of replicability for genome-wide association meta-analysis. Nature Communications, 12, 1964. Main text, supplementary information, supplementary data. DOI:10.1038/s41467-021-21226-z

2020

• M McGue, EA Willoughby, A Rustichini, W Johnson, WG Iacono, JJ Lee. The contribution of cognitive and noncognitive skills to intergenerational social mobility. Psychological Science, 31, 835-847. Main text, supplemental material, data. DOI:10.1177/0956797620924677

2019

• L-H Chang et al. Associations between polygenic risk for tobacco and alcohol use and liability to tobacco and alcohol use, and psychiatric disorders in an independent sample of 13,999 Australian adults. Drug and Alcohol Dependence, 205, 107704. DOI:10.106/j.drugalcdep.2019.107704
• S Wilson, K Haroian, WG Iacono, RF Krueger, JJ Lee, M Luciana, SM Malone, M McGue, GI Roisman, S Vrieze. Minnesota Center for Twin and Family Research. Twin Research and Human Genetics, 22, 746-752. Main text. DOI:10.1017/thg.2019.107
• JJ Lee, M McGue, WG Iacono, AM Michael, CF Chabris. The causal influence of brain size on human intelligence: Evidence from within-family phenotypic associations and GWAS modeling. Intelligence, 75, 48-58. Main text, supplemental material. DOI:10.106/j.intell.2019.01.011
• Y Kim, JJ Lee. The genetics of human fertility. Current Opinion in Psychology, 27, 41-45. Main text. DOI:10.1016/j.copsyc.2018.07.011
• L-H Chang et al. Association between polygenic risk for tobacco and alcohol consumption and liability to licit and illicit substance use in young Australian adults. Drug and Alcohol Dependence, 197, 271-279. DOI:10.106/j.drugalcdep.2019.01.015
• EA Willoughby, AC Love, M McGue, WG Iacono, J Quigley, JJ Lee. Free will, determinism, and intuitive judgments about the heritability of behavior. Behavior Genetics, 49, 136-153. Main text, supplementary material. DOI:10.1007/s10519-018-9931-1
• BML Baselmans, R Jansen, HP Ip, et al. Multivariate genome-wide analyses of the well-being spectrum. Nature Genetics, 51, 445-451. Main text, supplementary information, supplementary tables, software. DOI:10.1038/s41588-018-0320-8
• RK Linnér, P Biroli, E Kong, SFW Meddens, R Wedow, et al. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nature Genetics, 51, 245-257. Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/s41588-018-0309-3
• M Liu, Y Jiang, R Wedow, Y Li, et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics, 51, 237-244. Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/s41588-018-0307-5

2018

• JJ Lee, M McGue, WG Iacono, CC Chow. The accuracy of LD Score regression as an estimator of confounding and genetic correlations in genome‐wide association studies. Genetic Epidemiology, 42, 783-795. Main text, supporting information. DOI:10.1002/gepi.22161
• JJ Tielbeek, JC Barnes, A Popma, TJC Polderman, JJ Lee, JRB Perry, D Posthuma, BB Boutwell. Exploring the genetic correlations of antisocial behaviour and life history traits. British Journal of Psychiatry Open, 4, 467-470. Main text. DOI:10.1192/bjo.2018.63
• JJ Lee, R Wedow, A Okbay, E Kong, O Maghzian, M Zacher, TA Nguyen-Viet, P Bowers, J Sidorenko, RK Linnér, MA Fontana, T Kundu, C Lee, H Li, R Li, R Royer, PN Timshel, RK Walters, EA Willoughby, et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50, 1112-1121. Main text, supplementary information, supplementary tables, summary statistics, podcast. DOI:10.1038/s41588-018-0147-3
• P Turley, RK Walters, O Maghzian, A Okbay, JJ Lee, MA Fontana, et al. Multi-trait analysis of genome-wide association study summary statistics using MTAG. Nature Genetics, 50, 229-237. Main text, supplementary information, supplementary tables, summary statistics, software. DOI:10.1038/s41588-017-0009-4

2017

• JJ Lee, CF Chabris. Genomic data can illuminate the architecture and evolution of cognitive abilities. Behavioral and Brain Sciences, 40, e209. Main text. DOI:10.1017/S0140525X16002004
• S Sniekers, S Stringer, K Watanabe, et al. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nature Genetics, 49, 1107-1112. Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/ng.3869
• S Selzam, E Krapohl, S von Stumm, PR O’Reilly, K Rimfeld, Y Kovas, PS Dale, JJ Lee, R Plomin. Predicting educational achievement from DNA. Molecular Psychiatry, 22, 267-272. Main text, supplementary material. DOI:10.1038/mp.2016.107

2016

• N Barban, R Jansen, R de Vlaming, A Vaez, JJ Mandemakers, FC Tropf, et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nature Genetics, 48, 1462-1472. Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/ng.3698
• RE Marioni, SJ Ritchie, PK Joshi, et al. Genetic variants linked to education predict longevity. Proceedings of the National Academy of Sciences USA, 113, 13366-13371. Main text. DOI:10.1073/pnas.1605334113
• A Okbay, BML Baselmans, J-E De Neve, P Turley, MG Nivard, MA Fontana, SFW Meddens, RK Linnér, CA Rietveld, et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nature Genetics, 48, 624-630. Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/ng.3552
• A Okbay, JP Beauchamp, MA Fontana, JJ Lee, TH Pers, CA Rietveld, P Turley, et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature, 533, 539-542. Main text, supplementary information, supplementary tables, summary statistics. DOI:10.1038/nature17671
• JJ Lee, M McGue. Why behavioral genetics matters: Commentary on Plomin et al. (2016). Perspectives on Psychological Science, 11, 29-30. Main text. DOI:10.1177/1745691615611932
• JJ Lee, S Vattikuti, CC Chow. Uncovering the genetic architectures of quantitative traits. Computational and Structural Biotechnology Journal, 14, 28-34. Main text. DOI:10.1016/j.csbj.2015.10.002
• MK Lee, JJ Lee, CS Wells, SG Sireci. A unified factor-analytic approach to the detection of item and test bias: Illustration with the effect of providing calculators to students with dyscalculia. Tutorials in Quantitative Methods for Psychology, 12, 9-29. Main text. DOI:10.20982/tqmp.12.1.p009
• JJ Lee, MK Lee. An overview of the Normal Ogive Harmonic Analysis Robust Method (NOHARM) approach to item response theory. Tutorials in Quantitative Methods for Psychology, 12, 1-8. Main text. DOI:10.20982/tqmp.12.1.p001

2015

• JJ Lee, N Kuncel. The determinacy and predictive power of common factors. Industrial and Organizational Psychology, 8, 467-472. Main text. DOI:10.1017/iop.2015.64
• CF Chabris, JJ Lee, D Cesarini, DJ Benjamin, DI Laibson. The fourth law of behavior genetics. Current Directions in Psychological Science, 24, 304-312. Main text. DOI:10.1177/0963721415580430
• CC Chang, CC Chow, LCAM Tellier, S Vattikuti, SM Purcell, JJ Lee. Second-generation PLINK: Rising to the challenge of larger and richer datasets. GigaScience, 4, 7. Main text, additional file, software. DOI:10.1186/s13742-015-0047-8

2014

• CA Rietveld, T Esko, G Davies, TH Pers, P Turley, et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proceedings of the National Academy of Sciences USA, 111, 13790-13794. Main text, supporting information. DOI:10.1073/pnas.1404623111
• JJ Lee, CC Chow. Conditions for the validity of SNP-based heritability estimation. Human Genetics, 133, 1011-1022. Main text. DOI:10.1007/s00439-014-1441-5
• S Vattikuti, JJ Lee, CC Chang, SDH Hsu, CC Chow. Applying compressed sensing to genome-wide association studies. GigaScience, 3, 10. Main text. DOI:10.1186/2047-217X-3-10

2013

• CF Chabris, JJ Lee, DJ Benjamin, JP Beauchamp, EL Glaeser, G Borst, S Pinker, DI Laibson. Why it is hard to find genes associated with social science traits: Theoretical and empirical considerations. American Journal of Public Health, 103, S152-S166. Main text, supporting material. DOI:10.2105/AJPH.2013.301327
• JJ Lee, CF Chabris. General cognitive ability and the psychological refractory period: Individual differences in the mind’s bottleneck. Psychological Science, 24, 1226-1233. Main text, supplemental material. DOI:10.1177/0956797612471540
• JJ Lee, CC Chow. The causal meaning of Fisher’s average effect. Genetics Research, 95, 89-109. Main text. DOI:10.1017/S0016672313000074

2012

• JJ Lee. Common factors and causal networks. European Journal of Personality, 26, 441-442. Main text. DOI:10.1002/per.1873
• JJ Lee. Correlation and causation in the study of personality (with discussion). European Journal of Personality, 26, 372-412. Main text, response to commentaries. DOI:10.1002/per.1863