Genetic architecture of resilience of executive functioning

Brain Imaging and Behavior

Volumn 6, Issue 4, 2012, Pages 621-633

  Mukherjee, Shubhabrata ^a   Kim, Sungeun ^b   Gibbons, Laura E ^a   Nho, Kwangsik ^b   Risacher, Shannon L ^b   Glymour, M Maria ^c   Habeck, Christian ^d   Lee, Grace J ^e   Mormino, Elizabeth ^f   Ertekin Taner, Nilüfer ^g   Montine, Thomas J ^a   DeCarli, Charles ^h   Saykin, Andrew J ^b   Crane, Paul K ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

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

^e UNIVERSITY OF CALIFORNIA   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g MAYO CLINIC   (United States)

^h UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Alzheimer's disease; Executive functioning; GWAS; Memory; Psychometrics; Resilience

Indexed keywords

AGE; AGED; ARTICLE; BRAIN CORTEX; BRAIN SIZE; CEREBELLUM; COPING BEHAVIOR; CORTICAL THICKNESS (BRAIN); EDUCATION; EXECUTIVE FUNCTION; FEMALE; GENDER; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOTYPE; HACHINSKI SCORE; HERITABILITY; HIPPOCAMPUS; HUMAN; MALE; NEUROIMAGING; NEUROPSYCHOLOGICAL TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PHENOTYPE; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM; WHITE MATTER;

EID: 84871714036     PISSN: 19317557     EISSN: 19317565     Source Type: Journal    
DOI: 10.1007/s11682-012-9184-1     Document Type: Article

References (44)

1. Allen, M., Zou, F., Chai, H. S., Younkin, C. S., Crook, J., Pankratz, V. S., et al. Novel late-onset Alzheimer's disease loci variants associate with brain region expression. Neurology.
2. Barrett, J. C., Fry, B., Maller, J., & Daly, M. J. (2005). Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics, 21(2), 263-265. doi: 10. 1093/bioinformatics/bth457.
3. Carmichael, O., Schwarz, C., Drucker, D., Fletcher, E., Harvey, D., Beckett, L., et al. (2010). Longitudinal changes in white matter disease and cognition in the first year of the Alzheimer disease neuroimaging initiative. Archives of Neurology, 67(11), 1370-1378. doi: 10. 1001/archneurol. 2010. 284.
4. Carrasquillo, M. M., Zou, F., Pankratz, V. S., Wilcox, S. L., Ma, L., Walker, L. P., et al.Genetic variation in PCDH11X is associated with susceptibility to late-onset Alzheimer's disease. Nature Genetics, 41(2), 192-198. doi: 10. 1038/ng. 305.
5. Centers for Disease Control and Prevention, & Alzheimer's Association. (2007). The healthy brain initiative: a national public health road map to maintaining cognitive health. Chicago: Alzheimer's Association.
6. Crane, P. K., Carle, A., Gibbons, L. E., Insel, P., Mackin, R. S., Gross, A., et al. (2012). Development and assessment of a composite score for memory in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Brain Imaging and Behavior. doi: 10. 1007/s11682-012-9186-z.
7. Desikan, R., Lee, I., & Thundat, T. (2006). Effect of nanometer surface morphology on surface stress and adsorption kinetics of alkanethiol self-assembled monolayers. Ultramicroscopy, 106(8-9), 795-799. doi: 10. 1016/j. ultramic. 2005. 11. 012.
8. Ertekin-Taner, N. (2011). Gene expression endophenotypes: a novel approach for gene discovery in Alzheimer's disease. Molecular Neurodegeneration, 6, 31. doi: 10. 1186/1750-1326-6-31.
9. Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189-198.
10. Gibbons, L. E., Carle, A. C., Mackin, R. S., Harvey, D., Mukherjee, S., Insel, P., et al. (2012). A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment. Brain Imaging and Behavior. doi: 10. 1007/s11682-012-9176-1.
11. Goodglass, H., & Kaplan, D. (1983). The assessment of aphasia and related disorders (2nd ed.). Philadelphia: Lea & Febiger.
12. Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2009). Enrichment effects on adult cognitive development: can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest, 9(1), 1-65.
13. Ikram, M. A., Vrooman, H. A., Vernooij, M. W., van der Lijn, F., Hofman, A., van der Lugt, A., et al. (2007). Brain tissue volumes in the general elderly population The Rotterdam Scan Study. Neurobiology of Aging. 29(6): 882-890.
14. Jack, C. R., Jr., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., et al. (2008). The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. Journal of Magnetic Resonance Imaging, 27(4), 685-691.
15. Lewin Group, & Alzheimer's Association. (2003). Saving lives, saving money: dividends for Americans investing in Alzheimer's research. Washington, D. C.: Alzheimer's Association.
16. Longstreth, W. T., Jr., Manolio, T. A., Arnold, A., Burke, G. L., Bryan, N., Jungreis, C. A., et al. (1996). Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study. Stroke; A Journal of Cerebral Circulation, 27(8), 1274-1282.
17. Longstreth, W. T., Jr., Bernick, C., Manolio, T. A., Bryan, N., Jungreis, C. A., & Price, T. R. (1998). Lacunar infarcts defined by magnetic resonance imaging of 3660 elderly people: the Cardiovascular Health Study. Archives of Neurology, 55(9), 1217-1225.
18. Longstreth, W. T., Jr., Dulberg, C., Manolio, T. A., Lewis, M. R., Beauchamp, N. J., Jr., O'Leary, D., et al. (2002). Incidence, manifestations, and predictors of brain infarcts defined by serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke, 33(10), 2376-2382.
19. McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology, 34(7), 939-944.
20. Mohs, R. C., Knopman, D., Petersen, R. C., Ferris, S. H., Ernesto, C., Grundman, M., et al. (1997). Development of cognitive instruments for use in clinical trials of antidementia drugs: additions to the Alzheimer's Disease Assessment Scale that broaden its scope. The Alzheimer's Disease Cooperative Study. Alzheimer Dis Assoc Disord, 11(Suppl 2), S13-21.
21. Morris, J. C., Heyman, A., Mohs, R. C., Hughes, J. P., van Belle, G., Fillenbaum, G., et al. (1989). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer's disease. Neurology, 39(9), 1159-1165.
22. Mungas, D., Harvey, D., Reed, B. R., Jagust, W. J., DeCarli, C., Beckett, L., et al. (2005). Longitudinal volumetric MRI change and rate of cognitive decline. Neurology, 65(4), 565-571. doi: 10. 1212/01. wnl. 0000172913. 88973. 0d.
23. Muthén, L., & Muthén, B. (2006). Mplus users guide. Version 4. 1 ed. Los Angeles: Muthen and Muthen.
24. Potkin, S. G., Guffanti, G., Lakatos, A., Turner, J. A., Kruggel, F., Fallon, J. H., et al. (2009). Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease. PLoS One, 4(8), e6501. doi: 10. 1371/journal. pone. 0006501.
25. Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006). Principal components analysis corrects for stratification in genome-wide association studies. Nature Genetics, 38(8), 904-909.
26. Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., et al. (2010). LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics, 26(18), 2336-2337. doi: 10. 1093/bioinformatics/btq419.
27. Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A., Bender, D., et al. (2007). PLINK: a tool set for whole-genome association and population-based linkage analyses. American Journal of Human Genetics, 81(3), 559-575.
28. R Development Core Team. (2005). R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
29. Reed, B. R., Mungas, D., Farias, S. T., Harvey, D., Beckett, L., Widaman, K., et al. (2010). Measuring cognitive reserve based on the decomposition of episodic memory variance. Brain: A Journal of Neurology, 133(Pt 8), 2196-2209. doi: 10. 1093/brain/awq154.
30. Reitan, R. M. (1958). Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and Motor Skills, 8, 271-276.
31. Rey, A. (1964). L'examen clinique en psychologie. Paris: Presses Universitaires de France.
32. Satz, P. (1993). Brain reserve capacity on symptom onset after brain injury: a formulation and review of evidence for threshold theory. Neuropsychology, 7(3), 273-295.
33. Saykin, A. J., Shen, L., Foroud, T. M., Potkin, S. G., Swaminathan, S., Kim, S., et al. (2010). Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans. Alzheimer's & Dementia, 6(3), 265-273. doi: S1552-5260(10)00082-8 [pii]10. 1016/j. jalz. 2010. 03. 013.
34. Scarmeas, N., & Stern, Y. (2003). Cognitive reserve and lifestyle. Journal of Clinical and Experimental Neuropsychology, 25(5), 625-633.
35. Schwarz, C., Fletcher, E., DeCarli, C., & Carmichael, O. (2009). Fully-automated white matter hyperintensity detection with anatomical prior knowledge and without FLAIR. Information Processing in Medical Imaging, 21, 239-251.
36. Shen, L., Kim, S., Risacher, S. L., Nho, K., Swaminathan, S., West, J. D., et al. (2010). Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. NeuroImage, 53(3), 1051-1063. doi: S1053-8119(10)00064-9.
37. Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society, 8(3), 448-460.
38. The International HapMap Project. (2003). Nature, 426(6968), 789-796. doi: 10. 1038/nature02168.
39. Visscher, P. M., Hill, W. G., & Wray, N. R. (2008). Heritability in the genomics era-concepts and misconceptions. Nature Reviews. Genetics, 9(4), 255-266. doi: 10. 1038/nrg2322.
40. Visscher, P. M., Yang, J., & Goddard, M. E. (2010). A commentary on 'common SNPs explain a large proportion of the heritability for human height' by Yang et al. (2010). Twin Research and Human Genetics: The Official Journal of the International Society for Twin Studies, 13(6), 517-524. doi: 10. 1375/twin. 13. 6. 517.
41. Weiner, M. W., Aisen, P. S., Jack, C. R., Jr., Jagust, W. J., Trojanowski, J. Q., Shaw, L., et al. (2010). The Alzheimer's Disease Neuroimaging Initiative: progress report and future plans. Alzheimer's & Dementia, 6(3), 202-211. e207.
42. Weschler, D. (1981). Weschler Adult Intelligence Scale-Revised. NY: Psychological Corporation.
43. Weschler, D. (1987). WMS-R: Weschler Memory Scale - Revised manual. NY: Psychological Corporation / HBJ.
44. 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(1), 76-82. doi: 10. 1016/j. ajhg. 2010. 11. 011.