Cited by 62Cognitive Abilities and TestingDementia and Cognitive Impairment ResearchMemory Processes and Influences

Differential Genetic Influence for Components of Memory in Aging Adult Twins

Open access
Swan, Gary E., Reed, Terry, Jack, Lisa M., Miller, Bruce L., Markee, Taryn, Wolf, Philip A., DeCarli, Charles, Carmelli, Dorit·1999·Archives of Neurology

Abstract

OBJECTIVE: To investigate the relative proportion of genetic and environmental contributions to verbal memory in community-dwelling World War II veteran twins. DESIGN: The California Verbal Learning Test (CVLT) was administered to 94 monozygotic (MZ) and 89 dizygotic (DZ) elderly male twin pair participants in the fourth examination of the National Heart, Lung, and Blood Institute Twin Study. SETTING: Subjects voluntarily participated on an outpatient basis at a research or medical center facility in 1 of 4 sites in the United States. PARTICIPANTS: Subjects had a mean age of 71.8 years (SD, 2.9 years), a mean educational level of 13.6 years (SD, 2.8 years), and no history of stroke and/or a Mini-Mental State Examination score of 23 or greater. MAIN OUTCOME MEASURES: Twin pair similarity in performance on 4 factor analytically derived components of the CVLT measuring verbal learning and memory, response discrimination, learning strategy, and recognition memory. RESULTS: The MZ intraclass correlation was significantly larger than the DZ correlation for verbal learning and memory (I<.001) but not for the other 3 components of memory. Using maximum likelihood methods, the best-fitting genetic model indicated that verbal learning and memory has a substantial genetic component (56% of total variance), whereas response discrimination has a much smaller, although still detectable, genetic component (24% of total variance). There is no evidence of genetic influence on learning strategy or recognition memory. CONCLUSION: Differential contribution of genetic and environmental influences to specific components of memory suggest that, in this group of elderly male twin pairs, some components may be more amenable to intervention than others.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/archneur.56.9.1127

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Twin studies have estimated that 50% of variance in learning performance, typically measured after short retention periods of 5-30 min, is due to genetic factors.

    “Twin studies have estimated that 50% of the variance in learning performance, typically measured after short retention periods of 5-30 min, is due to genetic factors (127,885,1164,1262).”

    From About Sleep's Role in Memory (2013) · cites this paper as [1164]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 27

  1. Mittelmark MB. The epidemiology of aging. In: Hazzard WR, Bierman EL, Blass JP, Ettinger WH Jr, Halter JB, eds. Principles of Geriatric Medicine and Geron- tology. 3rd ed. New York, NY: McGraw-Hill Book Co; 1994:135-152.
  2. McClearn GE, Johansson B, Berg S, et al. Substantial genetic influence on cognitive abilities in twins 80 or more years old. Science. 1997;276:1560- 1563.
  3. DeFries JC, Vandenberg SG, McClearn GE. Genetics of specific cognitive abili- ties. Ann Rev Genet. 1976;10:179-207.
  4. McGue M, Bouchard TJ Jr, Iacono WG, Lykken DT. In: Plomin R, McClearn GE, eds. Nature, Nurture, and Psychology. Washington, DC: American Psychologi- cal Association; 1993:59-76.
  5. Swan GE, LaRue A, Carmelli D, Reed TE, Fabsitz RR. Decline in cognitive per- formance in aging twins: heritability and biobehavioral predictors from the Na- tional Heart, Lung, and Blood Institute Twin Study. Arch Neurol. 1992;49:476- 481.
  6. Swan GE, Carmelli D, Reed T, Harshfield GA, Fabsitz RR, Eslinger PJ. Heritabil- ity of cognitive performance in aging twins: the National Heart, Lung, and Blood Institute Twin Study. Arch Neurol. 1990;47:259-262.
  7. Plomin R, Pedersen NL, Lichtenstein P, McClearn GE. Variability and stability in cognitive abilities are largely genetic later in life. Behav Genet. 1994;24:207- 215.
  8. Pedersen NL. Gerontological behavior genetics. In: Birren JE, Schaie KW, eds. Handbook of the Psychology of Aging. 4th ed. Orlando, Fla: Academic Press Inc; 1996:59-77.
  9. Finkel D, McGue M. The origins of individual differences in memory among the elderly: a behavioral genetic analysis. Psychol Aging. 1993;8:527-537.
  10. Zhang H, Zhao H, Merikangas K. Strategies to identify genes for complex dis- eases. Ann Med.1997;29:493-498.
  11. Elwood RW. The California Verbal Learning Test: psychometric characteristics and clinical application. Neuropsychol Rev. 1995;5:173-201.
  12. Christensen H, Hadzi-Pavlovic D, Jacob P. The psychometric differentiation of dementia from normal aging: a meta-analysis. Psychol Assess. 1991;3:147- 155.
  13. Feinleib M, Garrison RJ, Fabsitz RH, et al. The NHLBI twin study of cardiovas- cular risk factors: methodology and summary of results. Am J Epidemiol. 1977; 106:284-295.
  14. Reed T, Quiroga J, Selby JV, et al. Concordance of ischemic heart disease in the NHLBI Twin Study after 14-18 years of follow-up. J Clin Epidemiol. 1991;44: 795-805.
  15. Fabsitz RR, Kalousdian S, Carmelli D, Robinette D, Christian JC. Characteristics of participants and nonparticipants in the NHLBI Twin Study. Acta Genet Med Gemellol (Roma). 1988;37:217-228.
  16. Folstein MF, Folstein SE, McHugh PR. Mini-Mental State: a practical method for grading the cognitive state of patients for clinicians. J Psychiatr Res. 1975;12: 189-198.
  17. SAS Institute, Inc. SAS/STAT Guide, Version 6 Edition. Cary, NC: SAS Institute; 1987.
  18. Wiens AN, Tindall AG, Crossen JR. California Verbal Learning Test: a normative data study. Clin Neuropsychol. 1994;8:75-90.
  19. Delis DC, Kramer JH, Freeland F, Kaplan E. Integrating clinical assessment with cognitive neuroscience: construct validation of the California Verbal Learning Test. J Consult Clin Psychol. 1988;56:123-130.
  20. Libon DJ, Mattson RE, Glosser G, et al. A nine-word dementia version of the Cali- fornia Verbal Learning Test. Clin Neuropsychol. 1996;10:237-244.
  21. Neale MC, Cardon LR. Methodology for Genetic Studies of Twins and Families. Norwell, Mass: Kluwer Academic Publishers; 1992:269-273.
  22. Petrill SA, Thompson LA, Detterman DK. The genetic and environmental vari- ance underlying elementary cognitive tasks. Behav Genet. 1995;25:199-209.
  23. Schellenberg GD. Genetic dissection of Alzheimer disease: a heterogeneous dis- order. Proc Natl Acad Sci U S A. 1995;92:8552-8559.
  24. Bondi MW, Salmon DP, Monsch AU, et al. Episodic memory changes are asso- ciated with the ApoE-epsilon 4 allele in nondemented older adults. Neurology. 1995;45:2203-2206.
  25. Yue NC, Arnold AM, Longstreth WT, et al. Sulcal, ventricular, and white matter changes in MR imaging in the aging brain: data from the Cardiovascular Health Study. Radiology. 1997;202:33-39.
  26. Liao D, Cooper L, Cai J, et al. The prevalence and severity of white matter le- sions, their relationship with age, ethnicity, gender, and cardiovascular disease risk factors: The ARIC Study. Neuroepidemiology. 1997;16:149-162.
  27. Mayeux R, Ottman R, Maestre G, et al. Synergistic effects of traumatic head in- jury and apolipoprotein-⑀4 in patients with Alzheimer's disease. Neurology. 1995; 45:555-557.

Cited by

Sorted by citations

Authors
Swan, G. E., Reed, T., Jack, L. M., Miller, B. L., Markee, T., Wolf, P. A., DeCarli, C., & Carmelli, D.
Affiliations
Boston University (US)
Venue
Archives of Neurology
Published
1999-09-01
Volume
56
Issue
9
Pages
1127
ISSN
0003-9942 (ISSN-L)
OpenAlex
W2170907951
Cited by
62
References
0
Citations by year
2026: 1 · 2023: 2 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 2 · 2015: 2 · 2014: 3 · 2013: 4 · 2012: 2
FWCI
6.31
Type
journal article
Language
en
Open access
Locations
  • Archives of Neurology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Heart, Lung, and Blood Institute (HL 51429, R01HL051429)
  • National Institute of Neurological Disorders and Stroke (R01NS017950)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
Keywords
verbal memory, aging, genetic factors, heritability, monozygotic twins, dizygotic twins, verbal learning, learning strategies, recognition memory, environmental influences, World War II veterans, older men
MeSH terms
Aged, Discrimination Learning, Humans, Learning Disabilities, Male, Memory, Neuropsychological Tests, Mental Recall, Twins, Twins, Dizygotic, Twins, Monozygotic, Verbal Learning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review