Lexical decision as an endophenotype for reading comprehension: An exploration of an association

Development and Psychopathology

Volumn 24, Issue 4, 2012, Pages 1345-1360

  Naples, Adam ^a   Katz, Len ^b   Grigorenko, Elena L ^a,c,d  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

^c MOSCOW STATE UNIVERSITY   (Russian Federation)

^d Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; BIOLOGICAL MODEL; CHILD; COGNITION; COMPREHENSION; DECISION MAKING; ENDOPHENOTYPE; FAMILY; FEMALE; HUMAN; LANGUAGE TEST; MALE; MIDDLE AGED; PSYCHOLOGICAL MODEL; READING;

ADOLESCENT; ADULT; AGED; CHILD; COGNITION; COMPREHENSION; DECISION MAKING; ENDOPHENOTYPES; FAMILY; FEMALE; HUMANS; LANGUAGE TESTS; MALE; MIDDLE AGED; MODELS, GENETIC; MODELS, PSYCHOLOGICAL; READING;

EID: 84867519453     PISSN: 09545794     EISSN: 14692198     Source Type: Journal    
DOI: 10.1017/S0954579412000752     Document Type: Article

References (89)

1. Almasy, L., & Blangero, J. (1998). Multipoint quantitative-trait linkage analysis in general pedigrees. American Journal of Human Genetics, 62, 1198-1211.
2. Almasy, L., & Blangero, J. (2001). Endophenotypes as quantitative risk factors for psychiatric disease: Rationale and study design. American Journal of Medical Genetics, 105, 42-44.
3. Anderson, G. M. (2008). The potential role for emergence in autism. Autism Research, 1, 1-18.
4. Anderson, G. M. (2009). Conceptualizing autism: The role for emergence. Journal of the American Academy of Child & Adolescent Psychiatry, 48, 688-691.
5. Aulchenko, Y., & Struchalin, M. (2009). GenABEL: Genome-wide SNP association analysis. R package version 1.4-4 [Software]. Retrieved from http://CRAN.R-project.org/package GenABEL
6. Betjemann, R. S.,Willcutt, E. G., Olson, R. K., Keenan, J. M., DeFries, J. C., & Wadsworth, S. J. (2008). Word reading and reading comprehension: Stability, overlap and independence. Reading and Writing, 21, 539-558.
7. Blangero, J. (1995). Multivariate oligogenic linkage analysis of quantitative traits in general pedigrees. American Journal of Human Genetics, 57, 50.
8. Bond, T., & Fox, C. (2001). Applying the Rasch model. Hillsdale, NJ: Erlbaum.
9. Byrne, B., Coventry, W. L., Olson, R. K., Samuelsson, S., Corley, R., Willcutt, E. G., et al. (2009). Genetic and environmental influences on aspects of literacy and language in early childhood: Continuity and change from preschool to Grade 2. Journal of Neurolinguistics, 22, 219-236.
10. Byrne, B., Samuelsson, S., Wadsworth, S., Hulslander, J., Corley, R., De-Fries, J. C., et al. (2007). Longitudinal twin study of early literacy development: Preschool through Grade 1. Reading and Writing, 20, 77-102.
11. Cain, K., & Oakhill, J. (2006a). Profiles of children with specific reading comprehension difficulties. British Journal of Educational Psychology, 76, 683-696.
12. Cain, K., & Oakhill, J. (2006b). Assessment matters: Issues in the measurement of reading comprehension. British Journal of Educational Psychology, 76, 697-708.
13. Cannon, T., & Keller, M. (2005). Endophenotypes in genetic analyses of mental disorders. Annual Review of Clinical Psychology, 2, 267-290.
14. Cirrin, F. (1984). Lexical search speed in children and adults. Journal of Experimental Child Psychology, 37, 158-175.
15. Coltheart, M., Rastle, K., Perry, C., Langdon, R., & Ziegler, J. (2001). DRC: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review, 108, 204-256.
16. Crosbie, J., Perusse, D., Barr, C. L., & Schachar, R. J. (2008). Validating psychiatric endophenotypes: Inhibitory control and attention deficit hyperactivity disorder. Neuroscience & Biobehavioral Reviews, 32, 40-55.
17. Cutting, L.,&Scarborough, H. (2006). Prediction of reading comprehension: Relative contributions of word recognition, language proficiency, and other cognitive skills can depend on how comprehension is measured. Scientific Studies of Reading, 10, 277-299.
18. Daw, E. W., Heath, S. C., & Wijsman, E. M. (1999). Multipoint oligogenic analysis of age-at-onset data with applications to Alzheimer's disease pedigrees. American Journal of Human Genetics, 64, 839-851.
19. de Geus, E. J. C., Wright, M. J., Martin, N., & Boomsma, D. I. (2001). Genetics of brain function and cognition. Behavior Genetics, 31, 489-495.
20. de Jong, C. G., Van De Voorde, S., Roeyers, H., Raymaekers, R., Oosterlaan, J., & Sergeant, J. A. (2009). How distinctive are ADHD and RD? Results of a double dissociation study. Journal of Abnormal Child Psychology, 37, 1007-1017.
21. Dorans, N. J., Pommerich, M., & Holland, P. W. (2007). Linking and aligning scores and scales. New York: Springer Science.
22. Eaves, L., Heath, A., Neale, M., Hewitt, J., & Martin, N. (1998). Sex differences and non-additivity in the effects of genes on personality. Twin Research & Human Genetics, 1, 131-137.
23. Engle, R., Cantor, J., & Carullo, J. (1992). Individual differences in working memory and comprehension:A test of four hypotheses. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 975-992.
24. Flint, J., & Munafo, M. R. (2007). The endophenotype concept in psychiatric genetics. Psychological Medicine, 37, 163-180.
25. Freedman, R., Coon, H., Myles-Worsley, M., Orr-Urtreger, A., Olincy, A., Davis, A., et al. (1997). Linkage of a neurophysiological deficit in schizophrenia to a chromosome 15 locus. Proceeding of the National Academy of Sciences, 94, 587-592.
26. Gaya'n, J., & Olson, R. K. (2003). Genetic and environmental influences on individual differences in printed word recognition. Journal of Experimental Child Psychology, 84, 97-123.
27. Gernsbacher, M. A. (1984). Resolving 20 years of inconsistent interactions between lexical familiarity and orthography, concreteness, and polysemy. Journal of Experimental Psychology: General, 113, 256-281.
28. Gernsbacher, M. A., & Faust, M. E. (1991). The mechanism of suppression: A component of general comprehension skill. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 245-262.
29. Gijsel, M. A. R., Van Bon,W. H. J., & Bosman, A. M. T. (2004). Assessing reading skills by means of paper-and-pencil lexical decision: Issues of reliability, repetition, and word-pseudoword ratio. Reading and Writing, 17, 517-536.
30. Gilden, D. L., & Hancock, H. (2007). Response variability in attention-deficit disorders. Psychological Science, 18, 796-802.
31. Gilden, D. L., Thornton, T.,&Mallon, M.W. (1995). 1/f noise in human cognition. Science, 267, 1837-1839.
32. Glahn, D. C., Curran, J. E., Winkler, A. M., Carless, M. A., Kent, J. W., Jr., Charlesworth, J. C., et al. (2012). High dimensional endophenotype ranking in the search for major depression risk genes. Biological Psychiatry, 71, 6-14.
33. Goos, L. M., Crosbie, J., Payne, S., & Schachar, R. (2009). Validation and extension of the endophenotype model in ADHD patterns of inheritance in a family study of inhibitory control. American Journal of Psychiatry, 166, 711-717.
34. Gottesman, I. I., & Gould, T. D. (2003). The endophenotype concept in psychiatry: Etymology and strategic intentions. American Journal of Psychiatry, 160, 636-645.
35. Grigorenko, E. L. (2004). Genetic bases of developmental dyslexia: A capsule review of heritability estimates. Enfance, 3, 273-287.
36. Grigorenko, E. L., DeYoung, C. G., Getchell, M., Haeffel, G. J., af Klinteberg, B., Koposov, R. A., et al. (2007). Exploring interactive effects of genes and environments in etiology of individual differences in reading comprehension. Development and Psychopathology, 19, 1089-1103.
37. Grigorenko, E. L., Kiln, A., Pauls, D. L., Sent, R., Hooper, C., & Volkmar, F. (2002).A descriptive study of hyperlexia in a clinically referred sample of children with developmental delays. Journal of Autism and Developmental Disorders, 32, 3-11.
38. Grigorenko, E. L., Klin, A.,&Volkmar, F. (2003).Hyperlexia: Disability or superability? Journal of Child Psychology and Psychiatry, 44, 1079-1091.
39. Grossman, R. B., Bemis, R. H., Skwerer, D. P., & Tager-Flusberg, H. (2010). Lexical and affective prosody in children with high-functioning autism. Journal of Speech, Language, and Hearing Research, 53, 778-793.
40. Harlaar, N., Spinath, F. M., Dale, P. S., & Plomin, R. (2005). Genetic influences on early word recognition abilities and disabilities: A study of 7-year-old twins. Journal of Child Psychology & Psychiatry, 46, 373-384.
41. Heath, S. C. (1997). Markov Chain Monte Carlo segregation and linkage analysis for oligogenic models. American Journal of Human Genetics, 61, 748-760.
42. Heath, S. C., Snow, G., Thompson, E., Tseng, C., &Wijsman, E. M. (1997). MCMC segregation and linkage analysis. Genetic Epidemiology, 14, 1011-1016.
43. Himpel, S., Banaschewski, T., Gruttner, A., Becker, A., Heise, A., Uebel, H., et al. (2009). Duration discrimination in the range of milliseconds and seconds in children withADHD and their unaffected siblings. Psychological Medicine, 39, 1745-1751.
44. Holmes, V. M. (2009). Bottom-up processing and reading comprehension in experienced adult readers. Journal of Research in Reading, 32, 309-326.
45. Hsu, L., Wijsman, E., Berninger, V., & Thomson, J. (2002). Familial aggregation of dyslexia phenotypes. II: Paired correlated measures. American Journal of Medical Genetics: Neuropsychiatric Genetics, 114, 471-478.
46. Iacono,W. G.,& Malone, S. M. (2011). Developmental endophenotypes: Indexing genetic risk for substance abuse with the P300 brain event-related potential. Child Development Perspectives, 5, 239-247.
47. Igo, R. P., Chapman, N. H., & Wijsman, E. M. (2006). Segregation analysis of a complex quantitative trait: Approaches for identifying influential data points. Human Heredity, 61, 80-86.
48. Johnson,W., Turkheimer, E., Gottesman, I., & Bouchard, T. (2009). Beyond heritability: Twin studies in behavioral research. Current Directions in Psychological Science, 18, 217-220.
49. Katz, L., Brancazio, L., Irwin, J., Katz, S., Magnuson, J., & Whalen, D. (2012). What lexical decision and naming tell us about reading. Reading and Writing, 25, 1259-1282.
50. Keenan, J. M., Betjemann, R., Wadsworth, S., DeFries, J., & Olson, R. (2006). Genetic and environmental influences on reading and listening comprehension. Journal of Research in Reading, 29, 75-91.
51. Keenan, J. M., Betjemann, R. S., & Olson, R. K. (2008). Reading comprehension tests vary in the skills they assess: Differential dependence on decoding and oral comprehension. Scientific Studies of Reading, 12, 281-300.
52. Kendler, K. S., & Neale, M. C. (2010). Endophenotype: A conceptual analysis. Molecular Psychiatry, 15, 789-797.
53. Loyd, B. H., & Hoover, H. D. (1980). Vertical equating using the Rasch model. Journal of Educational Measurement, 17, 179-193.
54. Martens, V. E., & De Jong, P. F. (2006). The effect of word length on lexical decision in dyslexic and normal reading children. Brain and Language, 98, 140-149.
55. Mascie-Taylor, C. (1989). Spouse similarity for IQ and personality and convergence. Behavior Genetics, 19, 223-227.
56. Meyer-Lindenberg, A. (2010). Intermediate or brainless phenotypes for psychiatric research? Psychological Medicine, 40, 1057-1062.
57. Michael, M. (2009). Responses on a lateralized lexical decision task relate to both reading times and comprehension. Brain and Cognition, 71, 416-426.
58. Morein-Zamir, S., Fineberg, N. A., Robbins, T.W., & Sahakian, B. J. (2010). Inhibition of thoughts and actions in obsessive-compulsive disorder: Extending the endophenotype? Psychological Medicine, 40, 263-272.
59. Morrison, C., & Ellis, A. (1995). Roles of word frequency and age of acquisition in word naming and lexical decision. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 116-133.
60. Neubauer, A., Spinath, F., Riemann, R., Angleitner, A., & Borkenau, P. (2000). Genetic and environmental influences on two measures of speed of information processing and their relation to psychometric intelligence: Evidence from the German observational study of adult twins. Intelligence, 28, 267-289.
61. Pasisz, D. J., & Schatschneider, C. (2010). Genetic and environmental influences on reading comprehension ability: A research synthesis. Unpublished manuscript
62. Perfetti, C. A. (2007). Reading ability: Lexical quality to comprehension. Scientific Studies of Reading, 11, 357-383.
63. Perfetti, C. A., & Hogaboam, T. (1975). Relationship between single word decoding and reading comprehension skill. Journal of Educational Psychology, 67, 461-469.
64. Peterson, B. S., & Weissman, M. M. (2011). A brain-based endophenotype for major depressive disorder. Annual Review of Medicine, 62, 461-474.
65. Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago Press.
66. Ratcliff, R. (1993). Methods for dealing with reaction time outliers. Psychological Bulletin, 114, 510-532.
67. Ratcliff, R., & McKoon, G. (2008). The diffusion decision model: Theory and data for two-choice decision tasks. Neural Computation, 20, 873-922.
68. Ricketts, J. (2011). Research review: Reading comprehension in developmental disorders of language and communication. Journal of Child Psychology and Psychiatry and Allied Disciplines, 52, 1111-1123.
69. Ritsner, M. (Ed.). (2009). The handbook of neuropsychiatric biomarkers, endophenotypes and genes. New York: Springer.
70. Roach, N., Edwards, V., & Hogben, J. (2004). The tale is in the tail: An alternative hypothesis for psychophysical performance variability in dyslexia. Perception, 33, 817-830.
71. Roopesh, B. N., Rangaswamy, M., Kamarajan, C., Chorlian, D. B., Pandey, A. K., & Porjesz, B. (2010). Reduced resource optimization in male alcoholics: N400 in a lexical decision paradigm. Alcoholism: Clinical and Experimental Research, 34, 1905-1914.
72. Rutherford, B. J. (2006). Reading disability and hemispheric interaction on a lexical decision task. Brain and Cognition, 60, 55-63.
73. Schmiedek, F., Oberauer, K.,Wilhelm, O., Suss, H. M., &Wittmann,W.W. (2007). Individual differences in components of reaction time distributions and their relations to working memory and intelligence. Journal of Experimental Psychology: General, 136, 414-429.
74. Seidenberg,M. S., Peersen, A., MacDonald, M., & Plaut, D. C. (1996). Pseudohomophone effects and models of word recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 48-62.
75. Seidenberg,M. S., Plaut, D. C., Petersen, A. S., McClelland, J. L., & McRae, K. (1994). Nonword pronunciation and models of word recognition. Journal of Experimental Psychology: Human Perception and Performance, 20, 1177-1196.
76. Shankweiler, D. (1999).Words to meanings. Scientific Studies of Reading, 3, 113-127.
77. Smit, D., Boersma, M., van Beijsterveldt, C., Posthuma, D., Boomsma, D., Stam, C., et al. (2010). Endophenotypes in a dynamically connected brain. Behavior Genetics, 40, 167-177.
78. Smith, E. V., & Smith, R. M. (Eds.). (2005). Introduction to Rasch measurement. Maple Grove, MN: JAM Press.
79. Spaniol, J., Madden, D. J., & Voss, A. (2006). A diffusion model analysis of adult age differences in episodic and semantic long-term memory retrieval. Journal of Experimental Psychology. Learning, Memory, and Cognition, 32, 101-117.
80. Stewart, M. E., & Ota, M. (2008). Lexical effects on speech perception in individuals with "autistic" traits. Cognition, 109, 157-162.
81. Stringer, R., & Stanovich, K. E. (2000). The connection between reaction time and variation in reading ability: Unravelling covariance relationships with cognitive ability. Scientific Studies of Reading, 4, 41-53.
82. van den Bos, K. P., Nakken, H., Nicolay, P. G., & van Houten, E. J. (2007). Adults with mild intellectual disabilities: Can their reading comprehension ability be improved? Journal of Intellectual Disability Research, 51, 835-849.
83. van Leeuwen, M., van den Berg, S. M., Hoekstra, R. A., & Boomsma, D. I. (2007). Endophenotypes for intelligence in children and adolescents. Intelligence, 35, 369-380.
84. Verhoeven, L., & Vermeer, A. (2006). Literacy achievement of children with intellectual disabilities and differing linguistic backgrounds. Journal of Intellectual Disability Research, 50, 725-738.
85. Voss, A., Rothermund, K., & Voss, J. (2004). Interpreting the parameters of the diffusion model: An empirical validation. Memory & Cognition, 32, 1206-1220.
86. Wijsman, E. M., Peterson, D., Leutenegger, A. L., Thomson, J. B., Goddard, K. A. B., Hsu, L., et al. (2000). Segregation analysis of phenotypic components of learning disabilities: I. Nonword memory and digit span. American Journal of Human Genetics, 67, 631-646.
87. Wijsman, E. M., & Yu, D. (2004). Joint oligogenic segregation and linkage analysis using Bayesian Markov Chain Monte Carlo Methods. Molecular Biotechnology, 28, 205-226.
88. Ziegler, J. C., & Goswami, U. (2006). Becoming literate in different languages: Similar problems, different solutions. Developmental Science, 9, 429-436.
89. Zoccolotti, P., de Luca, M., di Pace, E., Gasperini, F., Judica, A., & Spinelli, D. (2005).Word length effect in early reading and in developmental dyslexia. Brain and Language, 93, 369-373.