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  • 1.
    Beam, Christopher R.
    et al.
    Department of Psychology, University of Southern California, Los Angeles, CA, United States.
    Turkheimer, Eric
    Department of Psychology, University of Virginia, Charlottesville, VA, United States.
    Finkel, Deborah
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping). Department of Psychology, Indiana University Southeast, New Albany, IN, United States.
    Levine, Morgan E.
    Department of Pathology, School of Medicine, Yale University, New Haven, CT, United States.
    Zandi, Ebrahim
    Norris Comprehensive Cancer Center & Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
    Guterbock, Thomas M.
    Center for Survey Research and Department of Sociology, University of Virginia, Charlottesville, VA, United States.
    Giangrande, Evan J.
    Department of Psychology, University of Virginia, Charlottesville, VA, United States.
    Ryan, Lesa
    Department of Pediatrics, University of Louisville, Louisville, KY, United States.
    Pasquenza, Natalie
    Department of Pediatrics, University of Louisville, Louisville, KY, United States.
    Davis, Deborah W.
    Department of Pediatrics, University of Louisville, Louisville, KY, United States.
    Midlife study of the Louisville Twins: Connecting cognitive development to biological and cognitive aging2019In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297Article in journal (Refereed)
    Abstract [en]

    The Louisville Twin Study (LTS) began in 1958 and became a premier longitudinal twin study of cognitive development. The LTS continuously collected data from twins through 2000 after which the study closed indefinitely due to lack of funding. Now that the majority of the sample is age 40 or older (61.36%, N = 1770), the LTS childhood data can be linked to midlife cognitive functioning, among other physical, biological, social, and psychiatric outcomes. We report results from two pilot studies in anticipation of beginning the midlife phase of the LTS. The first pilot study was a participant tracking study, in which we showed that approximately 90% of the Louisville families randomly sampled (N = 203) for the study could be found. The second pilot study consisted of 40 in-person interviews in which twins completed cognitive, memory, biometric, and functional ability measures. The main purpose of the second study was to correlate midlife measures of cognitive functioning to a measure of biological age, which is an alternative index to chronological age that quantifies age as a function of the breakdown of structural and functional physiological systems, and then to relate both of these measures to twins’ cognitive developmental trajectories. Midlife IQ was uncorrelated with biological age (−.01) while better scores on episodic memory more strongly correlated with lower biological age (−.19 to −.31). As expected, midlife IQ positively correlated with IQ measures collected throughout childhood and adolescence. Additionally, positive linear rates of change in FSIQ scores in childhood significantly correlated with biological age (−.68), physical functioning (.71), and functional ability (−.55), suggesting that cognitive development predicts lower biological age, better physical functioning, and better functional ability. In sum, the Louisville twins can be relocated to investigate whether and how early and midlife cognitive and physical health factors contribute to cognitive aging. 

  • 2.
    Finkel, Deborah
    et al.
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping). Indiana Univ Southeast, New Albany, IN, USA.
    Ernsth-Bravell, Marie
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping).
    Genetic influences on lung function contribute to subsequent age changes in motor and cognitive function2019In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 49, no 6, p. 492-492Article in journal (Refereed)
  • 3. Finkel, Deborah
    et al.
    Pedersen, Nancy L
    Reynolds, Chandra A
    Berg, Stig
    Jönköping University, School of Health Science, HHJ, Institute of Gerontology. Jönköping University, School of Health Science, HHJ. Ageing - living conditions and health.
    DeFaire, U
    Svartengren, M
    Genetic and environmental influences on decline in biobehavioral markers of aging2003In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 33, no 2, p. 107-123Article in journal (Refereed)
  • 4.
    Finkel, Deborah
    et al.
    Department of Psychology, Indiana University Southeast, New Albany, United States.
    Sternäng, Ola
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping). Department of Psychology, Stockholm University, Stockholm, Sweden.
    Wahlin, Åke
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology.
    Genetic and environmental influences on longitudinal trajectories of functional biological age: Comparisons across gender2017In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 47, no 4, p. 375-382Article in journal (Refereed)
    Abstract [en]

    We used an alternate age variable, functional biological age (fBioAge), which was based on performance on functional body measures. The aim was to examine development of fBioAge across the adult life span, and to also examine potential gender differences and genetic and environmental influences on change with age. We used longitudinal data (n = 740; chronological age (ChronAge) range 45-85 at baseline) from the Swedish Adoption/Twin Study of Aging. The rate of increase in fBioAge was twice as fast after ChronAge 75 than before. fBioAge was higher in women than in men. fBioAge was fairly equally influenced by genetic and environmental factors. Whereas the rate of ChronAge cannot vary across time, gender, or individual, our analyses demonstrate that fBioAge does capture these within and between individual differences in aging, providing advantages for fBioAge in the study of aging effects.

  • 5.
    Karlsson, Ida K.
    et al.
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping).
    Ericsson, Malin
    Karolinska Institute, Department of Medical Epidemiology & Biostatistics, Stockholm, Sweden.
    Wang, Yunzhang
    Karolinska Institute, Department of Medical Epidemiology & Biostatistics, Stockholm, Sweden.
    Jylhava, Juulia
    Karolinska Institute, Department of Medical Epidemiology & Biostatistics, Stockholm, Sweden.
    Hagg, Sara
    Karolinska Institute, Department of Medical Epidemiology & Biostatistics, Stockholm, Sweden.
    Dahl Aslan, Anna K.
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping).
    Reynolds, Chandra
    Univ Calif Riverside, Dept Psychol, Riverside, CA 92521 USA..
    Pedersen, Nancy L.
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden..
    DNA methylation and change in late-life cognitive abilities2019In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 49, no 6, p. 503-503Article in journal (Refereed)
  • 6.
    Karlsson, Ida K.
    et al.
    Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden.
    Haegg, Sara
    Karolinska Institutet, Stockholm, Sweden.
    Ploner, Alexander
    Karolinska Institutet, Stockholm, Sweden.
    Song, Ci
    Karolinska Institutet, Stockholm, Sweden.
    Gatz, Margaret
    University of Southern California, Los Angeles, CA, USA.
    Pedersen, Nancy L.
    Karolinska Institutet, Stockholm, Sweden.
    Genetic susceptibility to cardiovascular disease and risk of dementia2015In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 45, no 6, p. 664-664Article in journal (Refereed)
  • 7.
    Karlsson, Ida K.
    et al.
    Karolinska Institutet, Stockholm, Sweden.
    Ploner, Alexander
    Karolinska Institutet, Stockholm, Sweden.
    Wang, Yunzhang
    Karolinska Institutet, Stockholm, Sweden.
    Pedersen, Nancy L.
    Karolinska Institutet, Stockholm, Sweden.
    Hagg, Sara
    Karolinska Institutet, Stockholm, Sweden.
    DNA methylation in Alzheimer's disease associated genes2017In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 47, no 6, p. 709-709Article in journal (Refereed)
  • 8.
    Lehto, Kelli
    et al.
    Karolinska Inst, Stockholm, Sweden.
    Karlsson, Ida K.
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. ARN-J (Aging Research Network - Jönköping).
    Gatz, Margaret
    University of Southern California, Los Angeles, CA, USA.
    Pedersen, Nancy L.
    Karolinska Institute, Stockholm, Sweden.
    Does depression in old age reflect prodromal dementia? A polygenic risk score approach2019In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 49, no 6, p. 512-512Article in journal (Other academic)
  • 9.
    Lehto, Kelli
    et al.
    Karolinska Institutet, Stockholm, Sweden.
    Karlsson, Ida K.
    Karolinska Institutet, Stockholm, Sweden.
    Lundholm, Cecilia
    Karolinska Institutet, Stockholm, Sweden.
    Pedersen, Nancy L.
    Karolinska Institutet, Stockholm, Sweden.
    Early life stress and genetic risk for neuroticism predicting health outcomes in older Swedish twins2017In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 47, no 6, p. 669-669Article in journal (Refereed)
  • 10. Pedersen, Nancy
    et al.
    Ripatti, S
    Berg, Stig
    Jönköping University, School of Health Science, HHJ, Institute of Gerontology. Jönköping University, School of Health Science, HHJ. Ageing - living conditions and health.
    Reynolds, Chandra A
    Hofer, Scott M
    Finkel, Deborah
    Gatz, Margret
    Palmgren, J
    The influence of mortality of twin models of change: Addressing missingness through multiple imputation2003In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 33, no 2, p. 161-169Article in journal (Refereed)
  • 11.
    Reynolds, Chandra A.
    et al.
    Department of Psychology, University of California Riverside, Riverside, CA, USA .
    Gatz, Margaret
    Department of Psychology, University of Southern California, Los Angeles, CA, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
    Christensen, Kaare
    Epidemiology, Biostatistics and Bio-demography, Institute of Public Health, University of Southern Denmark, Odense C, Denmark; Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.
    Christiansen, Lene
    Epidemiology, Biostatistics and Bio-demography, Institute of Public Health, University of Southern Denmark, Odense C, Denmark.
    Dahl Aslan, Anna K.
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology. Jönköping University, School of Health and Welfare, HHJ. Ageing - living conditions and health. Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
    Kaprio, Jaakko
    Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland.
    Korhonen, Tellervo
    Department of Public Health, University of Helsinki, Helsinki, Finland; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
    Kremen, William S.
    Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
    Krueger, Robert
    Department of Psychology, University of Minnesota, Minneapolis, MN, USA .
    McGue, Matt
    Department of Psychology, University of Minnesota, Minneapolis, MN, USA; Epidemiology, Biostatistics and Bio-demography, Institute of Public Health, University of Southern Denmark, Odense C, Denmark .
    Neiderhiser, Jenae M.
    Department of Psychology, The Pennsylvania State University, University Park, PA, USA.
    Pedersen, Nancy L.
    Department of Psychology, University of Southern California, Los Angeles, CA, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden .
    Gene-Environment Interplay in Physical, Psychological, and Cognitive Domains in Mid to Late Adulthood: Is APOE a Variability Gene?2016In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 46, no 1, p. 4-19Article in journal (Refereed)
    Abstract [en]

    Despite emerging interest in gene-environment interaction (GxE) effects, there is a dearth of studies evaluating its potential relevance apart from specific hypothesized environments and biometrical variance trends. Using a monozygotic within-pair approach, we evaluated evidence of G×E for body mass index (BMI), depressive symptoms, and cognition (verbal, spatial, attention, working memory, perceptual speed) in twin studies from four countries. We also evaluated whether APOE is a 'variability gene' across these measures and whether it partly represents the 'G' in G×E effects. In all three domains, G×E effects were pervasive across country and gender, with small-to-moderate effects. Age-cohort trends were generally stable for BMI and depressive symptoms; however, they were variable-with both increasing and decreasing age-cohort trends-for different cognitive measures. Results also suggested that APOE may represent a 'variability gene' for depressive symptoms and spatial reasoning, but not for BMI or other cognitive measures. Hence, additional genes are salient beyond APOE.

  • 12.
    Sternäng, Ola
    et al.
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology.
    Finkel, Deborah
    Indiana University Sotheast, USA.
    Wahlin, Åke
    Jönköping University, School of Health and Welfare, HHJ, Institute of Gerontology.
    Genetic and environmental influences on longitudinal changes in functional biological age2015In: Behavior Genetics, ISSN 0001-8244, E-ISSN 1573-3297, Vol. 45, no 6, p. 688-688Article in journal (Other academic)
1 - 12 of 12
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