1
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The potential roles of genetic factors in predicting ageing-related cognitive change and Alzheimer's disease. Ageing Res Rev 2021; 70:101402. [PMID: 34242808 DOI: 10.1016/j.arr.2021.101402] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/22/2021] [Accepted: 07/02/2021] [Indexed: 12/21/2022]
Abstract
Alzheimer's disease (AD) is a complex neurological disorder of uncertain aetiology, although substantial research has been conducted to explore important factors related to risk of onset and progression. Both lifestyle (e.g., complex mental stimulation, vascular health) and genetic factors (e.g., APOE, BDNF, PICALM, CLU, APP, PSEN1, PSEN2, and other genes) have been associated with AD risk. Despite more than thirty years of genetic research, much of the heritability of AD is not explained by measured loci. This suggests that the missing heritability of AD might be potentially related to rare variants, gene-environment and gene-gene interactions, and potentially epigenetic modulators. Moreover, while ageing is the most substantial factor risk for AD, there are limited longitudinal studies examining the association of genetic factors with decline in cognitive function due to ageing and the preclinical stages of this condition. This review summarises findings from currently available research on the genetic factors of ageing-related cognitive change and AD and suggests some future research directions.
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2
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Hasan A, Afzal M. Gene and environment interplay in cognition: Evidence from twin and molecular studies, future directions and suggestions for effective candidate gene x environment (cGxE) research. Mult Scler Relat Disord 2019; 33:121-130. [PMID: 31185373 DOI: 10.1016/j.msard.2019.05.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 04/20/2019] [Accepted: 05/13/2019] [Indexed: 12/17/2022]
Abstract
Last decade of molecular research in the field of cognitive science has shown that no single approach can give satisfactory results as far as gene hunt is concerned. Cohesive theory of gene-environment interaction seems to be a rational idea for bridging the gap in our knowledge of disorders involving cognitive deficit. It may even be helpful to some extent in resolving issues of missing heritability. We review the current state of play in the area of cognition at genetic and environmental fronts. Evidence of apparent gene-environment (GxE) interactions from various studies has been mentioned with the aim of redirecting the focus of research community towards studying such interactions with the help of sensitive designs and molecular techniques. We re-evaluate candidate gene-environment research in order to emphasize its potential if carried out strategically.
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Affiliation(s)
- Anam Hasan
- Human Genetics and Toxicology Laboratory, Section of Genetics, Department of Zoology, Faculty of Life Sciences, Aligarh Muslim University, Aligarh 202002, Uttar Pradesh, India
| | - Mohammad Afzal
- Human Genetics and Toxicology Laboratory, Section of Genetics, Department of Zoology, Faculty of Life Sciences, Aligarh Muslim University, Aligarh 202002, Uttar Pradesh, India.
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3
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Reynolds CA, Smolen A, Corley RP, Munoz E, Friedman NP, Rhee SH, Stallings MC, DeFries JC, Wadsworth SJ. APOE effects on cognition from childhood to adolescence. Neurobiol Aging 2019; 84:239.e1-239.e8. [PMID: 31126628 DOI: 10.1016/j.neurobiolaging.2019.04.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 04/13/2019] [Accepted: 04/14/2019] [Indexed: 01/10/2023]
Abstract
The ε4 allele of APOE is a well-established genetic risk factor for cognitive aging and dementia, but its influence on early life cognition is unknown. Consequently, we assessed associations of APOE genotypes with cognitive performance during 7, 12, and 16 year-assessments in our ongoing Colorado Adoption/Twin Study of Lifespan behavioral development (CATSLife). In general, APOE ε4 was associated with lower Verbal, Performance, and Full Scale IQ scores during childhood and adolescence (e.g., Full Scale IQ was lower by 1.91 points per ε4 allele, d = -0.13), with larger effects in females (e.g., average Full Scale IQ scores were 3.41 points lower in females per each ε4 allele vs. 0.33 points lower in males). Thus, these results suggest that deleterious effects of the APOE ε4 allele are manifested before adulthood, especially in females, and support both early origin theories and differential life-course vulnerabilities for later cognitive impairment.
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Affiliation(s)
- Chandra A Reynolds
- Department of Psychology, University of California, Riverside, Riverside, CA, USA.
| | - Andrew Smolen
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Robin P Corley
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Elizabeth Munoz
- Department of Psychology, University of California, Riverside, Riverside, CA, USA
| | - Naomi P Friedman
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Soo Hyun Rhee
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Michael C Stallings
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - John C DeFries
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Sally J Wadsworth
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
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4
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Liu Z, Dai X, Tao W, Liu H, Li H, Yang C, Zhang J, Li X, Chen Y, Ma C, Pei J, Mao H, Chen K, Zhang Z. APOE influences working memory in non-demented elderly through an interaction with SPON1 rs2618516. Hum Brain Mapp 2018; 39:2859-2867. [PMID: 29573041 DOI: 10.1002/hbm.24045] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/01/2018] [Accepted: 03/03/2018] [Indexed: 12/18/2022] Open
Abstract
Exploring how risk genes cumulatively impair brain function in preclinical phase (i.e., in cognitively normal elderly) could provide critical insights into the pathophysiology of Alzheimer's disease (AD). Working memory impairment has always been a considerable cognitive deficit in AD, which is likely under complex genetic control. Though, the APOE ɛ4 allele could damage the working memory performance in normal elderly, dissociable results have been reported. This allele may exert specific effects in contexts with other genetic variants. The rs2618516 in the spondin 1 gene (SPON1) has been associated with AD risk and brain structure in the elderly. SPON1 may interact with APOE through processing the amyloid precursor protein and suppressing amyloid-β levels. Using neuropsychological tasks from 710 individuals, we found significant SPON1 × APOE genotype interactions in working memory and executive function performances. Moreover, such interaction was also found in regional brain activations based on functional magnetic resonance imaging data with the n-back working memory task performed in a sub-cohort of 64 subjects. The effects of ɛ4 allele on activation of right inferior frontal gyrus, triangular part (IFGtriang.R) were modulated by rs2618516 in a working memory task. Furthermore, lower IFGtriang.R activation was associated with better cognitive functions. Moreover, the IFGtriang.R activation could mediate the impacts of SPON1 × APOE interactions on working memory performance. These findings suggested the importance of weighing APOE effects on brain activation under the working memory task within the context of the SPON1 genotype.
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Affiliation(s)
- Zhen Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Xiangwei Dai
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Wuhai Tao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Huilan Liu
- The Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, 100029, People's Republic of China
| | - He Li
- BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China.,Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, People's Republic of China
| | - Caishui Yang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Junying Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Chao Ma
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Jing Pei
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Haohao Mao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Kewei Chen
- BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China.,Banner Alzheimer's Institute, Phoenix, Arizona
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, People's Republic of China.,BABRI Centre, Beijing Normal University, Beijing, 100875, People's Republic of China
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5
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Oleson S, Murphy C. Olfactory Dysfunction in ApoE ɛ4/4 Homozygotes with Alzheimer's Disease. J Alzheimers Dis 2016; 46:791-803. [PMID: 25869786 DOI: 10.3233/jad-150089] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory impairment and the presence of amyloid plaques and neurofibrillary tangles. The associated neuropathology originates in brain areas responsible for olfaction, which makes olfactory tasks potentially useful for assessing AD. The strongest genetic risk factor for AD is the apolipoprotein E (ApoE) ɛ4 allele that has been associated with increased cognitive and olfactory deficits. While individuals carrying one ɛ4 allele of the ApoE gene are at increased risk for AD relative to non-carriers, those with two copies of the ɛ4 allele demonstrate an even higher risk for developing AD. Furthermore, homozygous ApoE ɛ4/4 individuals diagnosed with AD are known to have heightened amyloid burden and a more rapid rate of cognitive decline relative to heterozygous ɛ3/4 ApoE carriers. All of these factors suggest there are differences in severity and progression of AD as a function of possessing one versus two ɛ4 alleles. The current study investigated olfactory functioning in homozygous ɛ4/4 older adults diagnosed with probable AD. Compared to demographically matched ɛ3/3 and ɛ3/4 individuals, ɛ4/4 individuals showed deficits in odor identification and remote odor memory as measured by odor familiarity ratings. The current findings suggest that these particular domains of olfactory functioning may be more impaired in AD ɛ4/4 homozygotes compared to ɛ3/4 heterozygotes and ɛ3/3 homozygotes. These deficits give insight into how the presence of two ɛ4 alleles may differentially affect the progression of AD and suggest the usefulness of odor tasks in detecting those at risk for AD.
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Affiliation(s)
- Stephanie Oleson
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Claire Murphy
- Department of Psychology, San Diego State University, San Diego, CA, USA.,San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.,Department of Surgery, Division of Head and Neck Surgery, University of California, San Diego, CA, USA
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6
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Reynolds CA, Gatz M, Christensen K, Christiansen L, Dahl Aslan AK, Kaprio J, Korhonen T, Kremen WS, Krueger R, McGue M, Neiderhiser JM, Pedersen NL. Gene-Environment Interplay in Physical, Psychological, and Cognitive Domains in Mid to Late Adulthood: Is APOE a Variability Gene? Behav Genet 2016; 46:4-19. [PMID: 26538244 PMCID: PMC4858319 DOI: 10.1007/s10519-015-9761-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 10/14/2015] [Indexed: 10/22/2022]
Abstract
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.
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Affiliation(s)
- Chandra A Reynolds
- Department of Psychology, University of California Riverside, 900 University Ave., Riverside, CA, 92521, USA.
| | - Margaret Gatz
- Department of Psychology, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, 17177, Stockholm, Sweden
| | - Kaare Christensen
- Epidemiology, Biostatistics and Bio-demography, Institute of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Department of Clinical Genetics and Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Lene Christiansen
- Epidemiology, Biostatistics and Bio-demography, Institute of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Anna K Dahl Aslan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, 17177, Stockholm, Sweden
- Institute of Gerontology, School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Jaakko Kaprio
- Department of Public Health & Institute for Molecular Medicine FIMM, University of Helsinki, 00014, Helsinki, Finland
| | - Tellervo Korhonen
- Department of Public Health, University of Helsinki, 00014, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211, Kuopio, Finland
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Robert Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Matt McGue
- Epidemiology, Biostatistics and Bio-demography, Institute of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Department of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Jenae M Neiderhiser
- Department of Psychology, The Pennsylvania State University, University Park, PA, USA
| | - Nancy L Pedersen
- Department of Psychology, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, 17177, Stockholm, Sweden
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7
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Reynolds CA, Finkel D. A meta-analysis of heritability of cognitive aging: minding the "missing heritability" gap. Neuropsychol Rev 2015; 25:97-112. [PMID: 25732892 DOI: 10.1007/s11065-015-9280-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2014] [Accepted: 01/26/2015] [Indexed: 12/19/2022]
Abstract
The etiologies underlying variation in adult cognitive performance and cognitive aging have enjoyed much attention in the literature, but much of that attention has focused on broad factors, principally general cognitive ability. The current review provides meta-analyses of age trends in heritability of specific cognitive abilities and considers the profile of genetic and environmental factors contributing to cognitive aging to address the 'missing heritability' issue. Our findings, based upon evaluating 27 reports in the literature, indicate that verbal ability demonstrated declining heritability, after about age 60, as did spatial ability and perceptual speed more modestly. Trends for general memory, working memory, and spatial ability generally indicated stability, or small increases in heritability in mid-life. Equivocal results were found for executive function. A second meta-analysis then considered the gap between twin-based versus SNP-based heritability derived from population-based GWAS studies. Specifically, we considered twin correlation ratios to agnostically re-evaluate biometrical models across age and by cognitive domain. Results modestly suggest that nonadditive genetic variance may become increasingly important with age, especially for verbal ability. If so, this would support arguments that lower SNP-based heritability estimates result in part from uncaptured non-additive influences (e.g., dominance, gene-gene interactions), and possibly gene-environment (GE) correlations. Moreover, consistent with longitudinal twin studies of aging, as rearing environment becomes a distal factor, increasing genetic variance may result in part from nonadditive genetic influences or possible GE correlations. Sensitivity to life course dynamics is crucial to understanding etiological contributions to adult cognitive performance and cognitive aging.
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Affiliation(s)
- Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, 92521, USA,
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8
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Davies G, Harris SE, Reynolds CA, Payton A, Knight HM, Liewald DC, Lopez LM, Luciano M, Gow AJ, Corley J, Henderson R, Murray C, Pattie A, Fox HC, Redmond P, Lutz MW, Chiba-Falek O, Linnertz C, Saith S, Haggarty P, McNeill G, Ke X, Ollier W, Horan M, Roses AD, Ponting CP, Porteous DJ, Tenesa A, Pickles A, Starr JM, Whalley LJ, Pedersen NL, Pendleton N, Visscher PM, Deary IJ. A genome-wide association study implicates the APOE locus in nonpathological cognitive ageing. Mol Psychiatry 2014; 19. [PMID: 23207651 PMCID: PMC7321835 DOI: 10.1038/mp.2012.159] [Citation(s) in RCA: 122] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Cognitive decline is a feared aspect of growing old. It is a major contributor to lower quality of life and loss of independence in old age. We investigated the genetic contribution to individual differences in nonpathological cognitive ageing in five cohorts of older adults. We undertook a genome-wide association analysis using 549 692 single-nucleotide polymorphisms (SNPs) in 3511 unrelated adults in the Cognitive Ageing Genetics in England and Scotland (CAGES) project. These individuals have detailed longitudinal cognitive data from which phenotypes measuring each individual's cognitive changes were constructed. One SNP--rs2075650, located in TOMM40 (translocase of the outer mitochondrial membrane 40 homolog)--had a genome-wide significant association with cognitive ageing (P=2.5 × 10(-8)). This result was replicated in a meta-analysis of three independent Swedish cohorts (P=2.41 × 10(-6)). An Apolipoprotein E (APOE) haplotype (adjacent to TOMM40), previously associated with cognitive ageing, had a significant effect on cognitive ageing in the CAGES sample (P=2.18 × 10(-8); females, P=1.66 × 10(-11); males, P=0.01). Fine SNP mapping of the TOMM40/APOE region identified both APOE (rs429358; P=3.66 × 10(-11)) and TOMM40 (rs11556505; P=2.45 × 10(-8)) as loci that were associated with cognitive ageing. Imputation and conditional analyses in the discovery and replication cohorts strongly suggest that this effect is due to APOE (rs429358). Functional genomic analysis indicated that SNPs in the TOMM40/APOE region have a functional, regulatory non-protein-coding effect. The APOE region is significantly associated with nonpathological cognitive ageing. The identity and mechanism of one or multiple causal variants remain unclear.
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Affiliation(s)
- Gail Davies
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Sarah E Harris
- Medical Genetics Section, The University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Chandra A Reynolds
- Department of Psychology, University of California - Riverside, Riverside, CA 92521
| | - Antony Payton
- Centre for Integrated Genomic Medical Research, University of Manchester, Stopford Building, Oxford Road, Manchester M13 9PT
| | - Helen M Knight
- CGAT, MRC Functional Genomics Unit, Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road Oxford OX1 3PT, UK
| | - David C Liewald
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Lorna M Lopez
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Michelle Luciano
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Alan J Gow
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Janie Corley
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Ross Henderson
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Catherine Murray
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Alison Pattie
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Helen C. Fox
- Institute of Applied Health Sciences, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD
| | - Paul Redmond
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Michael W Lutz
- Division of Neurology, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA,Joseph and Kathleen Bryan Alzheimer’s Disease Research Center, Duke University, Durham, NC 27705, USA
| | - Ornit Chiba-Falek
- Division of Neurology, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA,Joseph and Kathleen Bryan Alzheimer’s Disease Research Center, Duke University, Durham, NC 27705, USA
| | - Colton Linnertz
- Division of Neurology, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Sunita Saith
- Division of Neurology, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Paul Haggarty
- Nutrition and Epigenetics Group, Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, Aberdeen, UK
| | - Geraldine McNeill
- Institute of Applied Health Sciences, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD
| | - Xiayi Ke
- Institute of Child Health, University College London, London, UK
| | - William Ollier
- Centre for Integrated Genomic Medical Research, University of Manchester, Stopford Building, Oxford Road, Manchester M13 9PT
| | - Michael Horan
- School of Community-Based Medicine, Neurodegeneration Research Group, University of Manchester, Clinical sciences Building, Salford Royal NHS Foundation Trust, Salford M6 8HD
| | - Allen D Roses
- Division of Neurology, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA,Joseph and Kathleen Bryan Alzheimer’s Disease Research Center, Duke University, Durham, NC 27705, USA,Zinfandel Pharmaceuticals, Chapel Hill, NC, USA
| | - Chris P Ponting
- CGAT, MRC Functional Genomics Unit, Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road Oxford OX1 3PT, UK
| | - David J Porteous
- Medical Genetics Section, The University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Albert Tenesa
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK,The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Roslin, UK
| | - Andrew Pickles
- Clinical Trials Unit, Institute of Psychiatry Room S 2.03, Kings College London
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK,Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, 7 George Square, Edinburgh, UK
| | - Lawrence J Whalley
- Institute of Applied Health Sciences, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden,Department of Psychology, University of Southern California, Los Angeles CA, USA
| | - Neil Pendleton
- School of Community-Based Medicine, Neurodegeneration Research Group, University of Manchester, Clinical sciences Building, Salford Royal NHS Foundation Trust, Salford M6 8HD
| | - Peter M Visscher
- Queensland Institute of Medical Research, Brisbane, Queensland, Australia.,University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia,The Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Ian J Deary
- Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
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9
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Sackmann-Sala L, Berryman DE, Lubbers ER, Zhang H, Vesel CB, Troike KM, Gosney ES, List EO, Kopchick JJ. Age-related and depot-specific changes in white adipose tissue of growth hormone receptor-null mice. J Gerontol A Biol Sci Med Sci 2013; 69:34-43. [PMID: 23873966 DOI: 10.1093/gerona/glt110] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Growth hormone receptor-null (GHR(-/-)) mice are dwarf, insulin sensitive, and long-lived in spite of increased adiposity. However, their adiposity is not uniform, with select white adipose tissue (WAT) depots enlarged. To study WAT depot-specific effects on insulin sensitivity and life span, we analyzed individual WAT depots of 12- and 24-month-old GHR(-) (/-) and wild-type (WT) mice, as well as their plasma levels of selected hormones. Adipocyte sizes and plasma insulin, leptin, and adiponectin levels decreased with age in both GHR(-) (/-) and WT mice. Two-dimensional gel electrophoresis proteomes of WAT depots were similar among groups, but several proteins involved in endocytosis and/or cytoskeletal organization (Ehd2, S100A10, actin), anticoagulation (S100A10, annexin A5), and age-related conditions (alpha2-macroglobulin, apolipoprotein A-I, transthyretin) showed significant differences between genotypes. Because Ehd2 may regulate endocytosis of Glut4, we measured Glut4 levels in the WAT depots of GHR(-) (/-) and WT mice. Inguinal WAT of 12-month-old GHR(-) (/-) mice displayed lower levels of Glut4 than WT. Overall, the protein changes detected in this study offer new insights into possible mechanisms contributing to enhanced insulin sensitivity and extended life span in GHR(-) (/-) mice.
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Affiliation(s)
- Lucila Sackmann-Sala
- Edison Biotechnology Institute, Ohio University, 1 Water Tower Dr., The Ridges, Athens, OH 45701.
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10
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Nyberg L, Lövdén M, Riklund K, Lindenberger U, Bäckman L. Memory aging and brain maintenance. Trends Cogn Sci 2012; 16:292-305. [PMID: 22542563 DOI: 10.1016/j.tics.2012.04.005] [Citation(s) in RCA: 682] [Impact Index Per Article: 56.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2012] [Revised: 04/05/2012] [Accepted: 04/06/2012] [Indexed: 10/28/2022]
Abstract
Episodic memory and working memory decline with advancing age. Nevertheless, large-scale population-based studies document well-preserved memory functioning in some older individuals. The influential ‘reserve’ notion holds that individual differences in brain characteristics or in the manner people process tasks allow some individuals to cope better than others with brain pathology and hence show preserved memory performance. Here, we discuss a complementary concept, that of brain maintenance (or relative lack of brain pathology), and argue that it constitutes the primary determinant of successful memory aging. We discuss evidence for brain maintenance at different levels: cellular, neurochemical, gray- and white-matter integrity, and systems-level activation patterns. Various genetic and lifestyle factors support brain maintenance in aging and interventions may be designed to promote maintenance of brain structure and function in late life.
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Affiliation(s)
- Lars Nyberg
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.
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11
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Reynolds CA, Gatz M, Berg S, Pedersen NL. Genotype–Environment Interactions: Cognitive Aging and Social Factors. Twin Res Hum Genet 2012; 10:241-54. [PMID: 17564514 DOI: 10.1375/twin.10.2.241] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
AbstractThe possibility of genotype–environment interaction for memory performance and change was examined in 150 monozygotic (MZ) twin pairs from the Swedish Adoption Twin Study of Aging (SATSA). We used an MZ twin pair difference approach to examine the possibility that genotype was associated with intrapair variability and thus suggestive of genotype–nonshared environment interactions. Multiple ‘variability genes’ were found for longitudinal change in a semantic memory task including candidates coding for apolipoprotein E (APOE) and estrogen receptor alpha (ESR1) as well as serotonin candidates (HTR2Aand5HTT). One candidate also related to variability in change in episodic memory (5HTT). Of the significant associations observed, generally results indicated that MZ pairs who carry putative risk alleles were less variable than noncarriers, suggesting that noncarriers may be more sensitive to environmental contexts. We sought to ‘contextualize’ the possible nonshared environmental influences for found gene–environment (G × E) effects by considering intrapair differences in measured social and stress factors, including social support, life events and depressive symptoms. Results suggested that nonshared environmental influences associated with depressive symptoms may moderate the G × E relationship observed forESR1andAPOEand longitudinal semantic memory change whereby noncarriers of putative risk alleles may be relatively more sensitive to depressionevoking environmental contexts than carriers of the risk allele. Thus, the contexts that facilitate or reduce depressive symptoms may affect semantic memory resiliency dependent on genotype. Further work ought to consider larger sample sizes as well as consider additional social and contextual factors.
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Affiliation(s)
- Chandra A Reynolds
- University of California Riverside, Department of Psychology, Riverside, CA 92521, USA.
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12
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Finkel D, Reynolds CA, Larsson M, Gatz M, Pedersen NL. Both odor identification and ApoE-ε4 contribute to normative cognitive aging. Psychol Aging 2011; 26:872-83. [PMID: 21517181 PMCID: PMC3753815 DOI: 10.1037/a0023371] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Research indicates that apoliprotein E (ApoE) plays a role in the development of Alzheimer's disease (AD) and possibly in the cognitive decline associated with normative aging. More recently, researchers have shown that ApoE is expressed in olfactory brain structures, and a relationship among ApoE, AD, and olfactory function has been proposed. In the current analyses, we investigated the contribution of ApoE and odor identification in decline trajectories associated with normative cognitive aging in various domains, using longitudinal data on cognitive performance available from the Swedish Adoption/Twin Study of Aging. Data on both ApoE status and olfactory functioning were available from 455 individuals ranging in age from 50 to 88 years at the first measurement occasion. Odor identification was measured via a mailed survey. Cognitive performance was assessed in up to 5 waves of in-person testing covering a period of 16 years. Latent growth curve analyses incorporating odor identification and ApoE status indicated a main effect of odor identification on the performance level in three cognitive domains: verbal, memory, and speed. A main effect of ApoE on rates of decline after age 65 was found for verbal, spatial, and speed factors. The consistency of results across cognitive domains provides support for theories that posit central nervous system-wide origins of the olfaction-cognition-ApoE relationship; however, olfactory errors and APOE ε4 show unique and differential effects on cognitive trajectory features.
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Affiliation(s)
- Deborah Finkel
- Department of Psychology, Indiana University Southeast, New Albany, IN 47150, USA.
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13
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Taylor JL, Kennedy Q, Adamson MM, Lazzeroni LC, Noda A, Murphy GM, Yesavage JA. Influences of APOE ε4 and expertise on performance of older pilots. Psychol Aging 2011; 26:480-7. [PMID: 21668123 DOI: 10.1037/a0021697] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Little is known about how APOE ε4-related differences in cognitive performance translate to real-life performance, where training and experience may help to sustain performance. We investigated the influences of APOE ε4 status, expertise (FAA pilot proficiency ratings), and their interaction on longitudinal flight simulator performance. Over a 2-year period, 139 pilots aged 42-69 years were tested annually. APOE ε4 carriers had lower memory performance than noncarriers (p = .019). APOE interacted with Expertise (p = .036), such that the beneficial influence of expertise (p = .013) on longitudinal flight simulator performance was more pronounced for ε4 carriers. Results suggest that relevant training and activity may help sustain middle-aged and older adults' real-world performance, especially among APOE ε4 carriers.
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Affiliation(s)
- Joy L Taylor
- Psychiatry Service, Department of Veterans Affairs, Palo Alto Health Care System. Palo Alto, CA 94304-1207, USA.
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14
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Schreurs BG. The effects of cholesterol on learning and memory. Neurosci Biobehav Rev 2010; 34:1366-79. [PMID: 20470821 PMCID: PMC2900496 DOI: 10.1016/j.neubiorev.2010.04.010] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2010] [Revised: 04/26/2010] [Accepted: 04/28/2010] [Indexed: 02/07/2023]
Abstract
Cholesterol is vital to normal brain function including learning and memory but that involvement is as complex as the synthesis, metabolism and excretion of cholesterol itself. Dietary cholesterol influences learning tasks from water maze to fear conditioning even though cholesterol does not cross the blood brain barrier. Excess cholesterol has many consequences including peripheral pathology that can signal brain via cholesterol metabolites, pro-inflammatory mediators and antioxidant processes. Manipulations of cholesterol within the central nervous system through genetic, pharmacological, or metabolic means circumvent the blood brain barrier and affect learning and memory but often in animals already otherwise compromised. The human literature is no less complex. Cholesterol reduction using statins improves memory in some cases but not others. There is also controversy over statin use to alleviate memory problems in Alzheimer's disease. Correlations of cholesterol and cognitive function are mixed and association studies find some genetic polymorphisms are related to cognitive function but others are not. In sum, the field is in flux with a number of seemingly contradictory results and many complexities. Nevertheless, understanding cholesterol effects on learning and memory is too important to ignore.
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Affiliation(s)
- Bernard G Schreurs
- Blanchette Rockefeller Neurosciences Institute and Department of Physiology and Pharmacology, West Virginia University School of Medicine, BRNI Building, Morgantown, WV 26505-3409-08, USA.
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15
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Epistasis between APOE and nicotinic receptor gene CHRNA4 in age related cognitive function and decline. J Int Neuropsychol Soc 2010; 16:424-32. [PMID: 20331911 DOI: 10.1017/s1355617710000263] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Healthy participants (n = 237) aged 45-79 were tested neuropsychologically with tests of memory, speed, and cognitive control and followed up for 3-5 years (mean, 3.4 years). The sample was genotyped for apolipoprotein E (APOE) and CHolinergic Receptor for Nicotine Alpha 4 (CHRNA4), and genetic effects on cognitive function at initial testing and on cognitive decline was studied. We predicted relatively stronger effects of APOE on memory, and of CHRNA4 on speeded tasks. The predictions were partially confirmed, but we found interactive effects of APOE and CHRNA4 in several cognitive domains. Being an APOE epsilon4/CHRNA4 TT carrier was associated with slower and less efficient performance, and with steeper decline in speed tasks and in delayed recall. Age dependent genetic effects were found for both APOE and CHRNA4, where old participants (60-79 years) showed a negative influence of TT carrier status on initial memory performance, but a tendency for steeper memory decline in epsilon4 carriers. Inconsistent and small effects of APOE reported in previous studies of healthy groups may be caused by failure to consider epistasis of APOE with nicotinic receptor and other genes.
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16
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Reitz C, Mayeux R. Use of genetic variation as biomarkers for mild cognitive impairment and progression of mild cognitive impairment to dementia. J Alzheimers Dis 2010; 19:229-51. [PMID: 20061642 PMCID: PMC2908485 DOI: 10.3233/jad-2010-1255] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Cognitive impairment is prevalent in the elderly. The high estimates of conversion to dementia have spurred the interest in identification of genetic risk factors associated with development of cognitive impairment and or its progression. However, despite notable achievements in human genetics over the years, in particular technological advances in gene mapping and in statistical methods that relate genetic variants to disease, to date only a small proportion of the genetic contribution to late-life cognitive impairment can be explained. A likely explanation for the difficulty in gene identification is that it is a multifactorial disorder with both genetic and environmental components, in which several genes with small effects each are likely to contribute to the quantitative traits associated with the disease. The motivation for identifying the underlying genetic risk factors elderly is clear. Not only could it shed light on disease pathogenesis, but it may also provide potential targets for effective treatment, screening, and prevention. In this article we review the current knowledge on underlying genetic variants and the usefulness of genetic variation as diagnostic tools and biomarkers. In addition, we discuss the potentials and difficulties researchers face in designing appropriate studies for gene discovery.
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Affiliation(s)
- Christiane Reitz
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY
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17
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Reitz C, Mayeux R. Endophenotypes in normal brain morphology and Alzheimer's disease: a review. Neuroscience 2009; 164:174-90. [PMID: 19362127 PMCID: PMC2812814 DOI: 10.1016/j.neuroscience.2009.04.006] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2008] [Revised: 04/03/2009] [Accepted: 04/06/2009] [Indexed: 01/27/2023]
Abstract
Late-onset Alzheimer's disease is a common complex disorder of old age. Though these types of disorders can be highly heritable, they differ from single-gene (Mendelian) diseases in that their causes are often multifactorial with both genetic and environmental components. Genetic risk factors that have been firmly implicated in the cause are mutations in the amyloid precursor protein (APP), presenilin 1 (PSEN1) and presenilin 2 (PSEN2) genes, which are found in large multi-generational families with an autosomal dominant pattern of disease inheritance, the apolipoprotein E (APOE)epsilon4 allele and the sortilin-related receptor (SORL1) gene. Environmental factors that have been associated with late-onset Alzheimer's disease include depressive illness, various vascular risk factors, level of education, head trauma and estrogen replacement therapy. This complexity may help explain their high prevalence from an evolutionary perspective, but the etiologic complexity makes identification of disease-related genes much more difficult. The "endophenotype" approach is an alternative method for measuring phenotypic variation that may facilitate the identification of susceptibility genes for complexly inherited traits. The usefulness of endophenotypes in genetic analyses of normal brain morphology and, in particular for Alzheimer's disease will be reviewed as will the implications of these findings for models of disease causation. Given that the pathways from genotypes to end-stage phenotypes are circuitous at best, identifying endophenotypes more proximal to the effects of genetic variation may expedite the attempts to link genetic variants to disorders.
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Affiliation(s)
- C. Reitz
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, 630 West 168th Street, Columbia University, New York, NY 10032, USA
| | - R. Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, 630 West 168th Street, Columbia University, New York, NY 10032, USA
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
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18
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Abstract
Late-onset Alzheimer's disease (LOAD) is the most common cause of late-onset dementia in western societies. Despite remarkable achievements in human genetics throughout the years, in particular technological advances in gene mapping and in statistical methods that relate genetic variants to disease, to date only a small proportion of the genetic contribution to LOAD can be explained leaving several remaining genetic risk factors to be identified. A possible explanation for the difficulty in gene identification is that LOAD is a multifactorial complex disorder with both genetic and environmental components. Multiple genes with small effects each ("quantitative trait loci"[QTLs]) are likely to contribute to the quantitative traits associated with the disease, such as memory performance, amyloid/tau pathology, or hippocampal atrophy. The motivation for identifying the genetics of LOAD is clear. Not only could it shed light on disease pathogenesis, but it may also provide potential targets for effective treatment, screening, and prevention. Here, we review the usefulness of genetic variation as diagnostic tools and biomarkers in LOAD and discuss the potentials and difficulties researchers face in designing appropriate studies for gene discovery.
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Affiliation(s)
- Christiane Reitz
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York
- Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, New York
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York
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19
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McArdle JJ, Plassman BL. A biometric latent curve analysis of memory decline in older men of the NAS-NRC twin registry. Behav Genet 2009; 39:472-95. [PMID: 19404731 DOI: 10.1007/s10519-009-9272-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2008] [Accepted: 04/06/2009] [Indexed: 10/20/2022]
Abstract
Previous research has shown cognitive abilities to have different biometric patterns of age-changes. We examined the variation in episodic memory (word recall task) for over 6,000 twin pairs who were initially aged 59-75, and were subsequently re-assessed up to three more times over 12 years. In cross-sectional analyses, variation in the number of words recalled independent of age was explained largely by non-shared influences (65-72%), with clear additive genetic influences (12-32%), and marginal shared family influences (1-18%). The longitudinal phenotypic analysis of the word recall task showed systematic linear declines over age, but several nonlinear models with more dramatic changes at later ages, improved the overall fit. A two-part spline model for the longitudinal twin data with an optimal turning point at age 74 led to: (a) a separation of non-shared environmental influences and transient measurement error (~50%); (b) strong additive genetic components of this latent curve (~44% at age 60) with increases (over 50%) up to age 74, but with no additional genetic variation after age 74; (c) the smaller influences of shared family environment (~15% at age 74) were constant over all ages; (d) non-shared effects play an important role over most of the life-span but diminish after age 74.
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20
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Williams PG, Suchy Y, Rau HK. Individual differences in executive functioning: implications for stress regulation. Ann Behav Med 2009; 37:126-40. [PMID: 19381748 DOI: 10.1007/s12160-009-9100-0] [Citation(s) in RCA: 111] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2009] [Indexed: 10/20/2022] Open
Abstract
BACKGROUND Executive functioning (EF) refers to the set of neurocognitive processes that facilitate novel problem solving, modification of behavior in response to environmental changes, planning and generating strategies for complex actions, and ability to override pre-potent behavioral and emotional responses to engage in goal-directed behavior. PURPOSE To provide an overview of research on individual differences in EF and examine the extent to which these individual differences confer risk and resilience for poor stress regulation. RESULTS Review of the literature suggests that individual differences in EF are evident at multiple levels of analysis including genotype, endophenotype (e.g., performance on cognitive tasks), and phenotype (e.g., temperament and personality). These individual differences are associated with differential stress exposure, reactivity, recovery, and restorative processes. CONCLUSIONS A theoretical framework that includes individual differences in EF will inform behavioral medicine research on stress risk and resilience.
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Affiliation(s)
- Paula G Williams
- Department of Psychology, University of Utah, 380 S. 1530 E., Room 502, Salt Lake City, UT 84112, USA.
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21
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Wisdom NM, Callahan JL, Hawkins KA. The effects of apolipoprotein E on non-impaired cognitive functioning: a meta-analysis. Neurobiol Aging 2009; 32:63-74. [PMID: 19285755 DOI: 10.1016/j.neurobiolaging.2009.02.003] [Citation(s) in RCA: 300] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2008] [Revised: 01/13/2009] [Accepted: 02/03/2009] [Indexed: 10/21/2022]
Abstract
Nearly twice as many participants are represented in the current literature than were available at the time of the last major meta-analytic neurocognitive examination of apolipoprotein E (ApoE) epsilon allele combinations [Small, B.J., Rosnick, C.B., Fratiglioni, L., Backman, L., 2004. Apolipoprotein E and cognitive performance: a meta-analysis. Psychol. Aging 19, 592-600]. The meta-analysis in the current study sought to specifically examine (1) small effects and (2) possible moderating variables associated with ApoE allele combinations that may have been undiscoverable in previous examinations of smaller data sets. A total of 77 studies, representing 40,942 cognitively healthy adults were identified for inclusion in the current meta-analysis (random effects design). Results were congruent with the previous meta-analytic findings indicating that carriers of ApoE allele 4 (ɛ4) perform significantly worse on measures of episodic memory, executive functioning, and overall global cognitive ability. In addition, the current analysis revealed a small effect suggesting that ApoE allele 4 adversely impacts perceptual speed. In contrast to earlier studies, the results also indicate that increases in age result in significantly larger differences between ApoE ɛ4 carriers and ApoE non-ɛ4 carriers on measures of episodic memory and global cognitive ability. ApoE ɛ4 exerts broad, but specific, adverse small effects on a range of neurocognitive functions in cognitively healthy adults.
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Affiliation(s)
- Nick M Wisdom
- Oklahoma State University, Department of Psychology, 116 N Murray, Stillwater, OK 74074, USA.
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22
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Lindenberger U, Nagel IE, Chicherio C, Li SC, Heekeren HR, Bäckman L. Age-related decline in brain resources modulates genetic effects on cognitive functioning. Front Neurosci 2008; 2:234-44. [PMID: 19225597 PMCID: PMC2622748 DOI: 10.3389/neuro.01.039.2008] [Citation(s) in RCA: 167] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2008] [Accepted: 11/11/2008] [Indexed: 01/17/2023] Open
Abstract
Individual differences in cognitive performance increase from early to late adulthood, likely reflecting influences of a multitude of factors. We hypothesize that losses in neurochemical and anatomical brain resources in normal aging modulate the effects of common genetic variations on cognitive functioning. Our hypothesis is based on the assumption that the function relating brain resources to cognition is nonlinear, so that genetic differences exert increasingly large effects on cognition as resources recede from high to medium levels in the course of aging. Direct empirical support for this hypothesis comes from a study by Nagel et al. (2008), who reported that the effects of the Catechol-O-Methyltransferase (COMT) gene on cognitive performance are magnified in old age and interacted with the Brain-Derived Neurotrophic Factor (BDNF) gene. We conclude that common genetic polymorphisms contribute to the increasing heterogeneity of cognitive functioning in old age. Extensions of the hypothesis to other polymorphisms are discussed. (150 of 150 words)
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Adamson MM, Landy KM, Duong S, Fox-Bosetti S, Ashford JW, Murphy GM, Weiner M, Taylor JL. Apolipoprotein E epsilon4 influences on episodic recall and brain structures in aging pilots. Neurobiol Aging 2008; 31:1059-63. [PMID: 18760504 DOI: 10.1016/j.neurobiolaging.2008.07.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2008] [Revised: 06/28/2008] [Accepted: 07/23/2008] [Indexed: 10/21/2022]
Abstract
The apolipoprotein (APOE) epsilon4 allele is associated with cognitive deficits and hippocampal atrophy in nondemented middle-aged and older adults. It is not known to what extent this genetic risk factor for Alzheimer's disease (AD) impacts performance in late middle-aged and older workers in cognitively demanding occupations. This cross-sectional analysis examines brain-cognitive-genetic relationships in actively flying general aviation pilots, half of whom are APOE epsilon4 carriers. Fifty pilots were studied with structural MRI and memory tasks. Average visual paired associate memory recall performance was lower in APOE epsilon4 carriers than non-carriers. Memory performance correlated positively with hippocampal volume, but no structural differences were found in hippocampal or frontal volumes with respect to APOE epsilon4 allele. These results were evident in healthy professionals without any presenting memory problems and without selection for a family history of AD. These findings point to basic memory testing as a sensitive tool for detecting APOE epsilon4-related influences on memory in aging workers.
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Biological systems and the development of self-regulation: integrating behavior, genetics, and psychophysiology. J Dev Behav Pediatr 2007; 28:409-20. [PMID: 18049327 DOI: 10.1097/dbp.0b013e3181131fc7] [Citation(s) in RCA: 86] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Self-regulation is the ability to control inner states or responses with respect to thoughts, emotions, attention, and performance. As such, it is a critical aspect of development and fundamental to personality and behavioral adjustment. In this review, we focus on attentional, cognitive, and emotional control as we discuss the genetic mechanisms and brain mechanisms that contribute to individual differences in self-regulation. We conclude with a discussion of the implications for deviations in the development of this complex construct and suggestions for future research.
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