Abstract
In the context of current concerns about replication in psychological science, we describe 10 findings from behavioral genetic research that have replicated robustly. These are “big” findings, both in terms of effect size and potential impact on psychological science, such as linearly increasing heritability of intelligence from infancy (20%) through adulthood (60%). Four of our top 10 findings involve the environment, discoveries that could have been found only with genetically sensitive research designs. We also consider reasons specific to behavioral genetics that might explain why these findings replicate.
References
Section:
| Avinun R., Knafo A. (2014). Parenting as a reaction evoked by children’s genotype: A meta-analysis of children-as-twins studies. Personality and Social Psychology Review, 18, 87–102. doi:10.1177/1088868313498308 Google Scholar Link | |
| Bakker M., van Dijk A., Wicherts J. M. (2012). The rules of the game called psychological science. Perspectives on Psychological Science, 7, 543–554. doi:10.1177/1745691612459060 Google Scholar Link | |
| Baltes P. B., Reese H. W., Lipsitt L. P. (1980). Life-span developmental psychology. Annual Review of Psychology, 31, 65–110. doi:10.1146/annurev.ps.31.020180.000433 Google Scholar CrossRef, Medline | |
| Bartels M. (2015). Genetics of wellbeing and its components satisfaction with life, happiness, and quality of life: A review and meta-analysis of heritability studies. Behavior Genetics, 45, 137–156. doi:10.1007/s10519-015-9713-y Google Scholar CrossRef, Medline | |
| Bartels M., van den Oord E. J., Hudziak J. J., Rietveld M. J., Van Beijsterveldt C. E., Boomsma D. I. (2004). Genetic and environmental mechanisms underlying stability and change in problem behaviors at ages 3, 7, 10, and 12. Developmental Psychology, 40, 852–867. doi:10.1037/0012-1649.40.5.852 Google Scholar CrossRef, Medline | |
| Bayley N. (1993). Bayley scales of infant development. San Antonio, TX: Psychological Corporation. Google Scholar | |
| Begley C. G., Ellis L. M. (2012). Drug development: Raise standards for preclinical cancer research. Nature, 483, 531–533. doi:10.1038/483531a Google Scholar CrossRef, Medline | |
| Benyamin B., Pourcain B., Davis O. S., Davies G., Hansell N. K., Brion M. J., . . . Visscher P. M. (2014). Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Molecular Psychiatry, 19, 253–258. doi:10.1038/mp.2012.184 Google Scholar CrossRef, Medline | |
| Bergen S. E., Gardner C. O., Kendler K. S. (2007). Age-related changes in heritability of behavioral phenotypes over adolescence and young adulthood: A meta-analysis. Twin Research and Human Genetics, 10, 423–433. doi:10.1375/twin.10.3.423 Google Scholar CrossRef, Medline | |
| Boekel W., Wagenmakers E. J., Belay L., Verhagen J., Brown S., Forstmann B. U. (2015). A purely confirmatory replication study of structural brain-behavior correlations. Cortex, 66, 115–133. doi:10.1016/j.cortex.2014.11.019 Google Scholar CrossRef, Medline | |
| Bornovalova M. A., Hicks B. M., Iacono W. G., McGue M. (2009). Stability, change, and heritability of borderline personality disorder traits from adolescence to adulthood: A longitudinal twin study. Development and Psychopathology, 21, 1335–1353. doi:10.1017/s0954579409990186 Google Scholar CrossRef, Medline | |
| Bouchard T. J.Jr., McGue M. (1981). Familial studies of intelligence: A review. Science, 212, 1055–1059. doi:10.1126/science.7195071 Google Scholar CrossRef, Medline | |
| Briley D. A., Tucker-Drob E. M. (2013). Explaining the increasing heritability of cognitive ability across development: A meta-analysis of longitudinal twin and adoption studies. Psychological Science, 24, 1704–1713. doi:10.1177/0956797613478618 Google Scholar Link | |
| Briley D. A., Tucker-Drob E. M. (2014). Genetic and environmental continuity in personality development: A meta-analysis. Psychological Bulletin, 140, 1303–1331. doi:10.1037/a0037091 Google Scholar CrossRef, Medline | |
| Buchanan J. P., McGue M., Keyes M., Iacono W. G. (2009). Are there shared environmental influences on adolescent behavior? Evidence from a study of adoptive siblings. Behavior Genetics, 39, 532–540. doi:10.1007/s10519-009-9283-y Google Scholar CrossRef, Medline | |
| Burks B. (1928). The relative influence of nature and nurture upon mental development: A comparative study on foster parent-foster child resemblance. Yearbook of the National Society for the Study of Education, Part 1, 27, 219–316. Google Scholar | |
| Burt S. A. (2009). Rethinking environmental contributions to child and adolescent psychopathology: A meta-analysis of shared environmental influences. Psychological Bulletin, 135, 608–637. doi:10.1037/a001570 Google Scholar CrossRef, Medline | |
| Burt S. A. (2014). Research review: The shared environment as a key source of variability in child and adolescent psychopathology. Journal of Child Psychology and Psychiatry, 55, 304–312. doi:10.1111/jcpp.12173 Google Scholar CrossRef, Medline | |
| Burt S. A., McGue M., Carter L. A., Iacono W. G. (2007). The different origins of stability and change in antisocial personality disorder symptoms. Psychological Medicine, 37, 27–38. doi:10.1017/S0033291706009020 Google Scholar CrossRef, Medline | |
| Burt S. A., McGue M., Krueger R. F., Iacono W. G. (2005). How are parent-child conflict and childhood externalizing symptoms related over time? Results from a genetically informative cross-lagged study. Development and Psychopathology, 17, 145–165. doi:10.1017/S095457940505008X Google Scholar CrossRef, Medline | |
| Button K. S., Ioannidis J. P. A., Mokrysz C., Nosek B. A., Flint J., Robinson E. S. J., Munafo M. R. (2013). Power failure: Why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14, 365–376. doi:10.1038/nrn3475 Google Scholar CrossRef, Medline | |
| Caldwell B. M., Bradley R. H. (1984). Home observation for measurement of the environment. Little Rock, AR: University of Arkansas at Little Rock. Google Scholar | |
| Cardno A. G., Rijsdijk F. V., West R. M., Gottesman I. I., Craddock N., Murray R. M., McGuffin P. (2012). A twin study of schizoaffective-mania, schizoaffective-depression, and other psychotic syndromes. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159, 172–182. doi:10.1002/ajmg.b.32011 Google Scholar CrossRef | |
| Cerda M., Sagdeo A., Johnson J., Galea S. (2010). Genetic and environmental influences on psychiatric comorbidity: A systematic review. Journal of Affective Disorders, 126, 14–38. doi:10.1016/j.jad.2009.11.006 Google Scholar CrossRef, Medline | |
| Chabris C. F., Hebert B. M., Benjamin D. J., Beauchamp J., Cesarini D., van der Loos M., . . . Laibson D. (2012). Most reported genetic associations with general intelligence are probably false positives. Psychological Science, 23, 1314–1323. doi:10.1177/0956797611435528 Google Scholar Link | |
| Chabris C. F, Lee J., Cesarini D., Benjamin D., Laibson D. (2015). The fourth law of behavior genetics. Current Directions in Psychological Science, 24, 304–312. doi:10.1177/0963721415580430 Google Scholar Link | |
| Chipuer H. M., Rovine M. J., Plomin R. (1990). LISREL modeling: Genetic and environmental influences on IQ revisited. Intelligence, 14, 11–29. doi:10.1016/0160-2896(90)90011-H Google Scholar CrossRef | |
| Cross-Disorder Group of the Psychiatric Genomics Consortium. (2013a). Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nature Genetics, 45, 984–994. doi:10.1038/ng.2711 Google Scholar CrossRef, Medline | |
| Cross-Disorder Group of the Psychiatric Genomics Consortium. (2013b). Identification of risk loci with shared effects on five major psychiatric disorders: A genome-wide analysis. The Lancet, 381, 1371–1379. doi:10.1016/s0140-6736(12)62129-1 Google Scholar CrossRef, Medline | |
| Cumming G. (2014). The new statistics: Why and how. Psychological Science, 25, 7–29. doi:10.1177/0956797613504966 Google Scholar Link | |
| Davies G., Armstrong N., Bis J. C., Bressler J., Chouraki V., Giddaluru S., Deary I. J. (2015). Genetic contributions to variation in general cognitive function: A meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949). Molecular Psychiatry, 20, 183–192. doi:10.1038/mp.2014.188 Google Scholar CrossRef, Medline | |
| Davis L. K., Yu D., Keenan C. L., Gamazon E. R., Konkashbaev A. I., Derks E. M., . . . Scharf J. M. (2013). Partitioning the heritability of Tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture. PLoS Genetics, 9(10), e1003864. doi:10.1371/journal.pgen.1003864 Google Scholar CrossRef, Medline | |
| Davis O. S. P., Haworth C. M. A., Plomin R. (2009). Learning abilities and disabilities: Generalist genes in early adolescence. Cognitive Neuropsychiatry, 14, 312–331. doi:10.1080/13546800902797106 Google Scholar CrossRef, Medline | |
| DeFries J. C., Fulker D. W. (1985). Multiple regression analysis of twin data. Behavior Genetics, 15, 467–473. doi:10.1007/BF01066239 Google Scholar CrossRef, Medline | |
| DeFries J. C., Fulker D. W. (1988). Multiple regression analysis of twin data: Etiology of deviant scores versus individual differences. Acta Geneticae Medicae et Gemellologiae, 37, 205–216. doi:10.1017/S0001566000003810 Google Scholar CrossRef, Medline | |
| DeFries J. C., Fulker D. W., LaBuda M. C. (1987, October 8). Evidence for a genetic aetiology in reading disability of twins. Nature, 329, 537–539. doi:10.1038/329537a0 Google Scholar CrossRef, Medline | |
| DeFries J. C., Gervais M. C., Thomas E. A. (1978). Response to 30 generations of selection for open-field activity in laboratory mice. Behavior Genetics, 8, 3–13. doi:10.1007/BF01067700 Google Scholar CrossRef, Medline | |
| Devlin B., Daniels M., Roeder K. (1997). The heritability of IQ. Nature, 388, 468–471. doi:10.1038/41319 Google Scholar CrossRef, Medline | |
| Doherty J. L., Owen M. J. (2014). Genomic insights into the overlap between psychiatric disorders: Implications for research and clinical practice. Genome Medicine, 6(4), Article 29. doi:10.1186/gm546. Google Scholar CrossRef, Medline | |
| Farrell M. S., Werge T., Sklar P., Owen M. J., Ophoff R. A., O’Donovan M. C., . . . Sullivan P. F. (2015). Evaluating historical candidate genes for schizophrenia. Molecular Psychiatry, 20, 555–562. doi:10.1038/mp.2015.16 Google Scholar CrossRef, Medline | |
| Fisher R. A. (1918). The correlation between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh, 52, 399–433. doi:10.1017/S0080456800012163 Google Scholar CrossRef | |
| Galton F. (1869). Hereditary genius: An enquiry into its laws and consequences. Cleveland, OH: World. Google Scholar CrossRef | |
| Gaugler T., Klei L., Sanders S. J., Bodea C. A., Goldberg A. P., Lee A. B., . . . Buxbaum J. D. (2014). Most genetic risk for autism resides with common variation. Nature Genetics, 46, 881–885. doi:10.1038/ng.3039 Google Scholar CrossRef, Medline | |
| Gelernter J. (2015). Genetics of complex traits in psychiatry. Biological Psychiatry, 77, 36–42. doi:10.1016/j.biopsych.2014.08.005 Google Scholar CrossRef, Medline | |
| Gratten J., Wray N. R., Keller M. C., Visscher P. M. (2014). Large-scale genomics unveils the genetic architecture of psychiatric disorders. Nature Neuroscience, 17, 782–790. doi:10.1038/nn.3708 Google Scholar CrossRef, Medline | |
| Groen-Blokhuis M. M., Middeldorp C. M., Kan K.-J., Abdellaoui A., van Beijsterveldt C. E. M., Ehli E. A., . . . Boomsma D. I. (2014). Attention-deficit/hyperactivity disorder polygenic risk scores predict attention problems in a population-based sample of children. Journal of the American Academy of Child & Adolescent Psychiatry, 53, 1123–1129. doi:10.1016/j.jaac.2014.06.014 Google Scholar CrossRef, Medline | |
| Haworth C. M. A., Plomin R. (2012). Genetics and education: Toward a genetically sensitive classroom. In Harris K. R., Graham S., Urdan T. (Eds.), APA educational psychology handbook: Vol.1. Theories, constructs, and critical issues. (pp. 529–559). Washington, DC: American Psychological Association. Google Scholar CrossRef | |
| Haworth C. M. A., Wright M. J., Luciano M., Martin N. G., de Geus E. J. C., van Beijsterveldt C. E. M., . . . Plomin R. (2010). The heritability of general cognitive ability increases linearly from childhood to young adulthood. Molecular Psychiatry, 15, 1112–1120. doi:10.1038/mp.2009.55 Google Scholar CrossRef, Medline | |
| Hayden E. C. (2013, October 2). Ethics: Taboo genetics. Nature, 502, 26–28. doi:10.1038/502026a Google Scholar CrossRef, Medline | |
| Hoekstra R. A., Bartels M., Hudziak J. J., Van Beijsterveldt T. C., Boomsma D. I. (2008). Genetic and environmental influences on the stability of withdrawn behavior in children: A longitudinal, multi-informant twin study. Behavior Genetics, 38, 447–461. doi:10.1007/s10519-008-9213-4 Google Scholar CrossRef, Medline | |
| Huppertz C., Bartels M., Jansen I. E., Boomsma D. I., Willemsen G., de Moor M. H. M., de Geus E. J. C. (2014). A twin-sibling study on the relationship between exercise attitudes and exercise behavior. Behavior Genetics, 44, 45–55. doi:10.1007/s10519-013-9617-7 Google Scholar CrossRef, Medline | |
| Hur Y. M., Craig J. M. (2013). Twin registries worldwide: An important resource for scientific research. Twin Research and Human Genetics, 16, 1–12. doi:10.1017/thg.2012.147 Google Scholar CrossRef, Medline | |
| Hyde J. S. (2014). Gender similarities and differences. Annual Review of Psychology, 65, 373–398. doi:10.1146/annurev-psych-010213-115057 Google Scholar CrossRef, Medline | |
| Insel T., Cuthbert B., Garvey M., Heinssen R., Pine D. S., Quinn K., . . . Wang P. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry, 167, 748–751. doi:10.1176/appi.ajp.2010.09091379 Google Scholar CrossRef, Medline | |
| Ioannidis J. P. A. (2005a). Contradicted and initially stronger effects in highly cited clinical research. Journal of the American Medical Association, 294, 218–228. doi:10.1001/jama.294.2.218 Google Scholar CrossRef, Medline | |
| Ioannidis J. P. A. (2005b). Why most published research findings are false. PLoS Medicine, 2(8), e124. doi:10.1371/journal.pmed.0020124 Google Scholar CrossRef, Medline | |
| Ioannidis J. P. A. (2014). How to make more published research true. PLoS Medicine, 11(10), e1001747. doi:10.1371/journal.pmed.1001747 Google Scholar CrossRef, Medline | |
| Ioannidis J. P. A., Munafo M. R., Fusar-Poli P., Nosek B. A., David S. P. (2014). Publication and other reporting biases in cognitive sciences: Detection, prevalence, and prevention. Trends in Cognitive Sciences, 18, 235–241. doi:10.1016/j.tics.2014.02.010 Google Scholar CrossRef, Medline | |
| Jasny B. R., Chin G., Chong L., Vignieri S. (2011, December 2). Data replication & reproducibility. Again, and again, and again. Introduction. Science, 334, 1225. doi:10.1126/science.334.6060.1225 Google Scholar CrossRef, Medline | |
| Kavanagh D. H., Tansey K. E., O’Donovan M. C., Owen M. J. (2015). Schizophrenia genetics: Emerging themes for a complex disorder. Molecular Psychiatry, 20, 72–76. doi:10.1038/mp.2014.148 Google Scholar CrossRef, Medline | |
| Kendler K. S., Aggen S. H., Knudsen G. P., Røysamb E., Neale M. C., Reichborn-Kjennerud T. (2011). The structure of genetic and environmental risk factors for syndromal and subsyndromal common DSM-IV Axis I and all Axis II disorders. American Journal of Psychiatry, 168, 29–39. doi:10.1176/appi.ajp.2010.10030340 Google Scholar CrossRef, Medline | |
| Kendler K. S., Baker J. H. (2007). Genetic influences on measures of the environment: A systematic review. Psychological Medicine, 37, 615–626. doi:10.1017/S0033291706009524 Google Scholar CrossRef, Medline | |
| Kendler K. S., Gardner C. O., Lichtenstein P. (2008). A developmental twin study of symptoms of anxiety and depression: Evidence for genetic innovation and attenuation. Psychological Medicine, 38, 1567–1575. doi:10.1017/s003329170800384x Google Scholar CrossRef, Medline | |
| Kendler K. S., Gatz M., Gardner C. O., Pedersen N. L. (2006). Personality and major depression: A Swedish longitudinal, population-based twin study. Archives of General Psychiatry, 63, 1113–1120. Google Scholar CrossRef, Medline | |
| Kendler K. S., Prescott C. A., Myers J., Neale M. C. (2003). The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry, 60, 929–937. doi:10.1001/archpsyc.60.9.929 Google Scholar CrossRef, Medline | |
| Klahr A. M., Burt S. A. (2014). Elucidating the etiology of individual differences in parenting: A meta-analysis of behavioral genetic research. Psychological Bulletin, 140, 544–586. doi:10.1037/a0034205 Google Scholar CrossRef, Medline | |
| Klei L., Sanders S. J., Murtha M. T., Hus V., Lowe J. K., Willsey A. J., . . . Devlin B. (2012). Common genetic variants, acting additively, are a major source of risk for autism. Molecular Autism, 3(1), Article 9. doi:10.1186/2040-2392-3-9 Google Scholar CrossRef, Medline | |
| Knopik V. S., Heath A. C., Jacob T., Slutske W. S., Bucholz K. K., Madden P. A. F., . . . Martin N. G. (2006). Maternal alcohol use disorder and offspring ADHD: Disentangling genetic and environmental effects using a children-of-twins design. Psychological Medicine, 36, 1461–1471. doi:10.1017/s0033291706007884 Google Scholar CrossRef, Medline | |
| Kovas Y., Haworth C. M. A., Dale P. S., Plomin R. (2007). The genetic and environmental origins of learning abilities and disabilities in the early school years. Monographs of the Society for Research in Child Development, 72, 1–144. doi:10.1111/j.1540-5834.2007.00453.x Google Scholar CrossRef, Medline | |
| Krapohl E., Euesden J., Zababneh D., Pingault J.-B., Rimfeld K., von Stumm S., . . . Plomin R. (2015). Phenome-wide analysis of genome-wide polygenic scores. Molecular Psychiatry. Advance online publication. doi:10.1038/mp2015.126 Google Scholar CrossRef | |
| Krapohl E., Plomin R. (2015). Genetic link between family socioeconomic status and children’s educational achievement estimated from genome-wide SNPs. Molecular Psychiatry. Advance online publication. doi:10.1038/mp.2015.2 Google Scholar CrossRef | |
| Leahy A. M. (1935). Nature-nurture and intelligence. Genetic Psychology Monographs, 17, 236–308. Google Scholar | |
| Ledgerwood A. (2014a). Introduction to the special section on advancing our methods and practices. Perspectives on Psychological Science, 9, 275–277. doi:10.1177/1745691614529448 Google Scholar Link | |
| Ledgerwood A. (2014b). Introduction to the special section on moving toward a cumulative science: Maximizing what our research can tell us. Perspectives on Psychological Science, 9, 610–611. doi:10.1177/1745691614553989 Google Scholar Link | |
| Lee T., Henry J. D., Trollor J. N., Sachdev P. S. (2010). Genetic influences on cognitive functions in the elderly: A selective review of twin studies. Brain Research Reviews, 64, 1–13. doi:10.1016/j.brainresrev.2010.02.001 Google Scholar CrossRef, Medline | |
| Lichtenstein P., Yip B. H., Bjork C., Pawitan Y., Cannon T. D., Sullivan P. F., Hultman C. M. (2009). Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: A population-based study. The Lancet, 373, 234–239. doi:10.1016/s0140-6736(09)60072-6 Google Scholar CrossRef, Medline | |
| Loehlin J. C. (1989). Partitioning environmental and genetic contributions to behavioral development. American Psychologist, 44, 1285–1292. doi:10.1037/0003-066X.44.10.1285 Google Scholar CrossRef, Medline | |
| Loehlin J. C. (1992). Genes and environment in personality development. Newbury Park, CA: SAGE. Google Scholar | |
| Loehlin J. C., Nichols J. (1976). Heredity, environment and personality: A study of 850 sets of twins. Austin: University of Texas. Google Scholar | |
| Lubke G. H., Hottenga J. J., Walters R., Laurin C., de Geus E. J., Willemsen G., . . . Boomsma D. I. (2012). Estimating the genetic variance of major depressive disorder due to all single nucleotide polymorphisms. Biological Psychiatry, 72, 707–709. doi:10.1016/j.biopsych.2012.03.011 Google Scholar CrossRef, Medline | |
| Lubke G. H., Laurin C., Amin N., Hottenga J. J., Willemsen G., van Grootheest G., . . . Boomsma D. I. (2014). Genome-wide analyses of borderline personality features. Molecular Psychiatry, 19, 923–929. doi:10.1038/mp.2013.109 Google Scholar CrossRef, Medline | |
| Macleod M. R., Michie S., Roberts I., Dirnagl U., Chalmers I., Ioannidis J. P. A., . . . Glasziou P. (2014). Biomedical research: Increasing value, reducing waste. The Lancet, 383, 101–104. doi:10.1016/S0140-6736(13)62329-6 Google Scholar CrossRef, Medline | |
| Manolio T. A., Collins F. S., Cox N. J., Goldstein D. B., Hindorff L. A., Hunter D. J., . . . Visscher P. M. (2009). Finding the missing heritability of complex diseases. Nature, 461, 747–753. doi:10.1038/nature08494 Google Scholar CrossRef, Medline | |
| Marceau K., Narusyte J., Lichtenstein P., Ganiban J. M., Spotts E. L., Reiss D., Neiderhiser J. M. (2015). Parental knowledge is an environmental influence on adolescent externalizing. Journal of Child Psychology and Psychiatry, 56, 130–137. doi:10.1111/jcpp.12288 Google Scholar CrossRef, Medline | |
| Marioni R. E., Davies G., Hayward C., Liewald D., Kerr S. M., Campbell A., . . . Deary I. J. (2014). Molecular genetic contributions to socioeconomic status and intelligence. Behavior Genetics, 44, 26–32. doi:10.1016/j.intell.2014.02.006 Google Scholar CrossRef | |
| Marszalek J. M., Barber C., Kohlhart J., Holmes C. B. (2011). Sample size in psychological research over the past 30 years. Perceptual & Motor Skills, 112, 331–348. doi:10.2466/03.11.pms.112.2.331-348 Google Scholar Link | |
| Martin J., Hamshere M. L., Stergiakouli E., O’Donovan M. C., Thapar A. (2014). Genetic risk for attention-deficit/hyperactivity disorder contributes to neurodevelopmental traits in the general population. Biological Psychiatry, 76, 664–671. doi:10.1016/j.biopsych.2014.02.013 Google Scholar CrossRef, Medline | |
| Matteson L. K., McGue M., Iacono W. G. (2013). Shared environmental influences on personality: A combined twin and adoption approach. Behavior Genetics, 43, 491–504. doi:10.1007/s10519-013-9616-8 Google Scholar CrossRef, Medline | |
| McAdams T. A., Gregory A. M., Eley T. C. (2013). Genes of experience: Explaining the heritability of putative environmental variables through their association with behavioural and emotional traits. Behavior Genetics, 43, 314–328. doi:10.1007/s10519-013-9591-0 Google Scholar CrossRef, Medline | |
| McAdams T. A., Neiderhiser J. M., Rijsdijk F. V., Narusyte J., Lichtenstein P., Eley T. C. (2014). Accounting for genetic and environmental confounds in associations between parent and child characteristics: A systematic review of children-of-twins studies. Psychological Bulletin, 140, 1138–1173. doi:10.1037/a0036416 Google Scholar CrossRef, Medline | |
| McGue M., Bacon S., Lykken D. T. (1993). Personality stability and change in early adulthood: A behavioral genetic analysis. Developmental Psychology, 29, 96–109. doi:10.1037/0012-1649.29.1.96 Google Scholar CrossRef | |
| McGue M., Bouchard T. J.Jr., Iacono W. G., Lykken D. T. (1993). Behavioral genetics of cognitive ability: A life-span perspective. In Plomin R., McClearn G. E. (Eds.), Nature, nurture, and psychology (pp. 59–76). Washington, DC: American Psychological Association. Google Scholar CrossRef | |
| McGue M., Christensen K. (2013). Growing old but not growing apart: Twin similarity in the latter half of the lifespan. Behavior Genetics, 43, 1–12. doi:10.1007/s10519-012-9559-5 Google Scholar CrossRef, Medline | |
| McGue M., Zhang Y., Miller M. B., Basu S., Vrieze S., Hicks B., . . . Iacono W. G. (2013). A genome-wide association study of behavioral disinhibition. Behavior Genetics, 43, 363–373. doi:10.1007/s10519-013-9606-x Google Scholar CrossRef, Medline | |
| Mendel G. J. (1866). Versuche ueber Pflanzenhybriden [Experiments in plant hybrids]. Verhandlungen des Naturforschunden Vereines in Bruenn, 4, 3–47. Google Scholar | |
| Middeldorp C. M., Cath D. C., Van Dyck R., Boomsma D. I. (2005). The co-morbidity of anxiety and depression in the perspective of genetic epidemiology. A review of twin and family studies. Psychological Medicine, 35, 611–624. doi:10.1017/S003329170400412 Google Scholar CrossRef, Medline | |
| Narusyte J., Neiderhiser J. M., D’Onofrio B. M., Reiss D., Spotts E. L., Ganiban J., Lichtenstein P. (2008). Testing different types of genotype-environment correlation: An extended children-of-twins model. Developmental Psychology, 44, 1591–1603. doi:10.1037/a0013911 Google Scholar CrossRef, Medline | |
| Neiderhiser J. M., Reiss D., Hetherington E. M., Plomin R. (1999). Relationships between parenting and adolescent adjustment over time: Genetic and environmental contributions. Developmental Psychology, 35, 680–692. doi:10.1037/0012-1649.35.3.680 Google Scholar CrossRef, Medline | |
| Nosek B. A., Spies J. R., Motyl M. (2012). Scientific utopia: II. Restructuring incentives and practices to promote truth over publishability. Perspectives on Psychological Science, 7, 615–631. doi:10.1177/1745691612459058 Google Scholar Link | |
| Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349, aac4716. doi:10.1126/science.aac4716 Google Scholar CrossRef | |
| Palmer R. H. C., Brick L., Nugent N. R., Bidwell L. C., McGeary J. E., Knopik V. S., Keller M. C. (2015). Examining the role of common genetic variants on alcohol, tobacco, cannabis and illicit drug dependence: Genetics of vulnerability to drug dependence. Addiction, 110, 530–537. doi:10.1111/add.12815 Google Scholar CrossRef, Medline | |
| Panizzon M. S., Vuoksimaa E., Spoon K. M., Jacobson K. C., Lyons M. J., Franz C. E., . . . Kremen W. S. (2014). Genetic and environmental influences on general cognitive ability: Is g a valid latent construct? Intelligence, 43, 65–76. doi:10.1016/j.intell.2014.01.008 Google Scholar CrossRef, Medline | |
| Pashler H., Wagenmakers E.-J. (2012). Editors’ introduction to the special section on replicability in psychological science: A crisis of confidence? Perspectives on Psychological Science, 7, 528–530. doi:10.1177/1745691612465253 Google Scholar Link | |
| Petrill S. A. (1997). Molarity versus modularity of cognitive functioning? A behavioral genetic perspective. Current Directions in Psychological Science, 6, 96–99. doi:10.1111/1467-8721.ep11512833 Google Scholar Link | |
| Pike A., McGuire S., Hetherington E. M., Reiss D., Plomin R. (1996). Family environment and adolescent depressive symptoms and antisocial behavior: A multivariate genetic analysis. Developmental Psychology, 32, 590–603. doi:10.1037/0012-1649.32.4.590 Google Scholar CrossRef | |
| Pinker S. (2002). The blank slate: The modern denial of human nature. New York, NY: Penguin. Google Scholar | |
| Plomin R. (1986). Development, genetics, and psychology. Hillsdale, NJ: Erlbaum. Google Scholar | |
| Plomin R. (1989). Environment and genes. Determinants of behavior. American Psychologist, 44, 105–111. doi:10.1037/0003-066X.44.2.105 Google Scholar CrossRef, Medline | |
| Plomin R. (1994). Genetics and experience: The interplay between nature and nurture. Thousand Oaks, CA: SAGE. Google Scholar | |
| Plomin R. (2011). Commentary: Why are children in the same family so different? Non-shared environment three decades later. International Journal of Epidemiology, 40, 582–592. doi:10.1093/ije/dyq144 Google Scholar CrossRef, Medline | |
| Plomin R., Bergeman C. S. (1991). The nature of nurture: Genetic influence on “environmental” measures [With open peer commentary]. Behavioral & Brain Sciences, 14, 373–414. doi:10.1017/S0140525X00070278 Google Scholar CrossRef | |
| Plomin R., Daniels D. (1987a). Children in the same family are very different, but why? Behavioral & Brain Sciences, 10, 44–55. doi:10.1017/S0140525X00056272 Google Scholar CrossRef | |
| Plomin R., Daniels D. (1987b). Why are children in the same family so different from each other? Behavioral & Brain Sciences, 10, 1–16. doi:10.1017/S0140525X00055941 Google Scholar CrossRef | |
| Plomin R., Deary I. J. (2015). Genetics and intelligence differences: Five special findings. Molecular Psychiatry, 20, 98–108. doi:10.1038/mp.2014.105 Google Scholar CrossRef, Medline | |
| Plomin R., DeFries J. C. (1985). Origins of individual differences in infancy: The Colorado Adoption Project. Orlando, FL: Academic Press. Google Scholar | |
| Plomin R., DeFries J. C., Knopik V. S., Neiderhiser J. M. (2013). Behavioral genetics (6th ed.). New York, NY: Worth. Google Scholar | |
| Plomin R., Haworth C. M. A., Davis O. S. P. (2009). Common disorders are quantitative traits. Nature Reviews Genetics, 10, 872–878. doi:10.1038/nrg2670 Google Scholar CrossRef, Medline | |
| Plomin R., Kovas Y. (2005). Generalist genes and learning disabilities. Psychological Bulletin, 131, 592–617. doi:10.1037/0033-2909.131.4.592 Google Scholar CrossRef, Medline | |
| Plomin R., Loehlin J. C., DeFries J. C. (1985). Genetic and environmental components of “environmental” influences. Developmental Psychology, 21, 391–402. doi:10.1037/0012-1649.21.3.391 Google Scholar CrossRef | |
| Plomin R., Simpson M. A. (2013). The future of genomics for developmentalists. Development and Psychopathology, 25, 1263–1278. doi:10.1017/S0954579413000606 Google Scholar CrossRef, Medline | |
| Polderman T. J. C., Benyamin B., de Leeuw C. A., Sullivan P. F., van Bochoven A., Visscher P. M., Posthuma D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics. Advance online publication. doi:10.1038/ng.3285 Google Scholar CrossRef, Medline | |
| Power R. A., Wingenbach T., Cohen-Woods S., Uher R., Ng M. Y., Butler A. W., . . . McGuffin P. (2013). Estimating the heritability of reporting stressful life events captured by common genetic variants. Psychological Medicine, 43, 1965–1971. doi:10.1017/S0033291712002589 Google Scholar CrossRef, Medline | |
| Prinz F., Schlange T., Asadullah K. (2011). Believe it or not: How much can we rely on published data on potential drug targets? Nature Reviews Drug Discovery, 10(9), Article 712. Retrieved from http://www.nature.com/nrd/journal/v10/n9/full/nrd3439-c1.html Google Scholar | |
| Reichenberg A., Cederlöf M., McMillan A., Trzaskowski M., Davidson M., Weiser M., . . . Lichtenstein P. (in press). Discontinuity in the genetic and environmental causes of the intellectual disability spectrum. Proceedings of the National Academy of Sciences, USA. Google Scholar | |
| Rhee S. H., Lahey B. B., Waldman I. D. (2015). Comorbidity among dimensions of childhood psychopathology: Converging evidence from behavior genetics. Child Development Perspectives, 9, 26–31. doi:10.1111/cdep.12102 Google Scholar CrossRef, Medline | |
| Rhee S. H., Waldman I. D. (2002). Genetic and environmental influences on antisocial behavior: A meta-analysis of twin and adoption studies. Psychological Bulletin, 128, 490–529. doi:10.1037/0033-2909.128.3.490 Google Scholar CrossRef, Medline | |
| Rietveld C. A., Cesarini D., Benjamin D. J., Koellinger P. D., De Neve J. E., Tiemeier H., . . . Bartels M. (2013). Molecular genetics and subjective well-being. Proceedings of the National Academy of Sciences, USA, 110, 9692–9697. doi:10.1073/pnas.1222171110 Google Scholar CrossRef, Medline | |
| Rietveld C. A., Conley D., Eriksson N., Esko T., Medland S. E., Vinkhuyzen A. A. E., . . . The Social Science Genetics Association Consortium. (2014). Replicability and robustness of genome-wide-association studies for behavioral traits. Psychological Science, 25, 1975–1986. doi:10.1177/0956797614545132 Google Scholar Link | |
| Rietveld C. A., Medland S. E., Derringer J., Yang J., Esko T., Martin N. W., . . . Koellinger P. D. (2013, June 21). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 340, 1467–1471. doi:10.1126/science.1235488 Google Scholar CrossRef, Medline | |
| Rietveld M. J., Hudziak J. J., Bartels M., Van Beijsterveldt C. E., Boomsma D. I. (2004). Heritability of attention problems in children: Longitudinal results from a study of twins, age 3 to 12. Journal of Child Psychology and Psychiatry, 45, 577–588. doi:10.1111/j.1469-7610.2004.00247.x Google Scholar CrossRef, Medline | |
| Ripke S., O’Dushlaine C., Chambert K., Moran J. L., Kahler A. K., Akterin S., . . . Sullivan P. F. (2013). Genome-wide association analysis identifies 13 new risk loci for schizophrenia. Nature Genetics, 45, 1150–1159. doi:10.1038/ng.2742 Google Scholar CrossRef, Medline | |
| Robinson E. B., Neale B. M., Daly M. J. (2013). Epidemiology of neuropsychiatric and developmental disorders of childhood. In Charney D. S., Buxbaum J. D., Sklar P., Nestler Eric J. (Eds.), Neurobiology of mental illness (4th ed., pp. 933–943). New York, NY: Oxford University Press. Google Scholar | |
| Robinson M. R., Wray N. R., Visscher P. M. (2014). Explaining additional genetic variation in complex traits. Trends in Genetics, 30, 124–132. doi:10.1016/j.tig.2014.02.003 Google Scholar CrossRef, Medline | |
| Scarr S., McCartney K. (1983). How people make their own environments: A theory of genotype greater than environmental effects. Child Development, 54, 424–435. doi:10.2307/1129703 Google Scholar CrossRef, Medline | |
| Schizophrenia Working Group of the Psychiatric Genomics Consortium. (2014, July 24). Biological insights from 108 schizophrenia-associated genetic loci. Nature, 511, 421–427. doi:10.1038/nature13595 Google Scholar CrossRef, Medline | |
| Schmidt S. (2009). Shall we really do it again? The powerful concept of replication is neglected in the social sciences. Review of General Psychology, 13, 90–100. doi:10.1037/a0015108 Google Scholar CrossRef | |
| Shikishima C., Hiraishi K., Yamagata S., Neiderhiser J. M., Ando J. (2012). Culture moderates the genetic and environmental etiologies of parenting: A cultural behavior genetic approach. Social Psychological & Personality Science, 4, 434–444. doi:10.1177/1948550612460058 Google Scholar Link | |
| Simmons J. P., Nelson L. D., Simonsohn U. (2011). False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22, 1359–1366. doi:10.1177/0956797611417632 Google Scholar Link | |
| St. Pourcain B., Cents R. A., Whitehouse A. J., Haworth C. M., Davis O. S., O’Reilly P. F., . . . Davey Smith G. (2014). Common variation near ROBO2 is associated with expressive vocabulary in infancy. Nature Communications, 5, Article 4831. doi:10.1038/ncomms5831 Google Scholar CrossRef, Medline | |
| Stanley D. J., Spence J. R. (2014). Expectations for replications: Are yours realistic? Perspectives on Psychological Science, 9, 305–318. doi:10.1177/1745691614528518 Google Scholar Link | |
| Stergiakouli E., Martin J., Hamshere M. L., Langley K., Evans D. M., St. Pourcain B., . . . Davey Smith G. (2015). Shared genetic influences between attention-deficit/hyperactivity disorder (ADHD) traits in children and clinical ADHD. Journal of the American Academy of Child & Adolescent Psychiatry, 54, 322–327. doi:10.1016/j.jaac.2015.01.010 Google Scholar CrossRef, Medline | |
| Sullivan P. F., Kendler K. S., Neale M. C. (2003). Schizophrenia as a complex trait: Evidence from a meta-analysis of twin studies. Archives of General Psychiatry, 60, 1187–1192. doi:10.1001/archpsyc.60.12.1187 Google Scholar CrossRef, Medline | |
| Trzaskowski M., Davis O. S., Defries J. C., Yang J., Visscher P. M., Plomin R. (2013). DNA evidence for strong genome-wide pleiotropy of cognitive and learning abilities. Behavior Genetics, 43, 267–273. doi:10.1007/s10519-013-9594-x Google Scholar CrossRef, Medline | |
| Trzaskowski M., Harlaar N., Arden R., Krapohl E., Rimfeld K., McMillan A., . . . Plomin R. (2014). Genetic influence on family socioeconomic status and children’s intelligence. Intelligence, 42, 83–88. doi:10.1016/j.intell.2013.11.002 Google Scholar CrossRef, Medline | |
| 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, 949–979. doi:10.1037/a0035893 Google Scholar CrossRef, Medline | |
| Turkheimer E. (2000). Three laws of behavior genetics and what they mean. Current Directions in Psychological Science, 9, 160–164. doi:10.1111/1467-8721.00084 Google Scholar Link | |
| Turkheimer E., Pettersson E., Horn E. E. (2014). A phenotypic null hypothesis for the genetics of personality. Annual Review of Psychology, 65, 515–540. doi:10.1146/annurev-psych-113011-143752 Google Scholar CrossRef, Medline | |
| Turkheimer E., Waldron M. (2000). Nonshared environment: A theoretical, methodological, and quantitative review. Psychological Bulletin, 126, 78–108. doi:10.1037/0033-2909.126.1.78 Google Scholar CrossRef, Medline | |
| van Beijsterveldt C. E., Bartels M., Hudziak J. J., Boomsma D. I. (2003). Causes of stability of aggression from early childhood to adolescence: A longitudinal genetic analysis in Dutch twins. Behavior Genetics, 33, 591–605. doi:10.1023/A:1025735002864 Google Scholar CrossRef, Medline | |
| Verweij K. J. H., Yang J., Lahti J., Veijola J., Hintsanen M., Pulkki-Råback L., . . . Zietsch B. P. (2012). Maintenance of genetic variation in human personality: Testing evolutionary models by estimating heritability due to common causal variants and investigating the effect of distant inbreeding. Evolution, 66, 3238–3251. doi:10.1111/j.1558-5646.2012.01679.x Google Scholar CrossRef, Medline | |
| Vinkhuyzen A. A. E., Pedersen N. L., Yang J., Lee S. H., Magnusson P. K. E., Iacono W. G., . . . Wray N. R. (2012). Common SNPs explain some of the variation in the personality dimensions of neuroticism and extraversion. Translational Psychiatry, 2, e102. doi:10.1038/tp.2012.27 Google Scholar CrossRef, Medline | |
| Vinkhuyzen A. A. E., Wray N. R., Yang J., Goddard M. E., Visscher P. M. (2013). Estimation and partition of heritability in human populations using whole-genome analysis methods. Annual Review of Genetics, 47, 75–95. doi:10.1146/annurev-genet-111212-133258 Google Scholar CrossRef, Medline | |
| Visscher P. M. (2004). Power of the classical twin design revisited. Twin Research, 7, 505–512. doi:10.1375/1369052042335250 Google Scholar CrossRef, Medline | |
| Visscher P. M., Brown M. A., McCarthy M. I., Yang J. (2012). Five years of GWAS discovery. American Journal of Human Genetics, 90, 7–24. doi:10.1016/j.ajhg.2011.11.029 Google Scholar CrossRef, Medline | |
| Vrieze S. I., McGue M., Miller M. B., Hicks B. M., Iacono W. G. (2013). Three mutually informative ways to understand the genetic relationships among behavioral disinhibition, alcohol use, drug use, nicotine use/dependence, and their co-occurrence: Twin biometry, GCTA, and genome-wide scoring. Behavior Genetics, 43, 97–107. doi:10.1007/s10519-013-9584-z Google Scholar CrossRef, Medline | |
| Wray N. R., Lee S. H., Mehta D., Vinkhuyzen A. A., Dudbridge F., Middeldorp C. M. (2014). Research review: Polygenic methods and their application to psychiatric traits. Journal of Child Psychology and Psychiatry, 55, 1068–1087. doi:10.1111/jcpp.12295 Google Scholar CrossRef, Medline | |
| Yang J., Lee S. H., Goddard M. E., Visscher P. M. (2011). GCTA: A tool for genome-wide complex trait analysis. American Journal of Human Genetics, 88, 76–82. doi:10.1016/j.ajhg.2010.11.011 Google Scholar CrossRef, Medline | |
| Yang J., Lee T., Kim J., Cho M.-C., Han B.-G., Lee J.-Y., . . . Kim H. (2013). Ubiquitous polygenicity of human complex traits: Genome-wide analysis of 49 traits in Koreans. PLoS Genetics, 9(3), e1003355. doi:10.1371/journal.pgen.1003355 Google Scholar CrossRef | |
| Zavos H. M., Freeman D., Haworth C. M., McGuire P., Plomin R., Cardno A. G., Ronald A. (2014). Consistent etiology of severe, frequent psychotic experiences and milder, less frequent manifestations: A twin study of specific psychotic experiences in adolescence. JAMA Psychiatry, 71, 1049–1057. doi:10.1001/jamapsychiatry.2014.994 Google Scholar CrossRef, Medline |
