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Gene–Environment Interplay in Physical, Psychological, and Cognitive Domains in Mid to Late Adulthood: Is APOE a Variability Gene?

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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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References

  • Altmann A, Tian L, Henderson VW, Greicius MD, Alzheimer’s Disease Neuroimaging Initiative Investigators (2014) Sex modifies the APOE-related risk of developing Alzheimer disease. Ann Neurol 75(4):563–573

    Article  PubMed  PubMed Central  Google Scholar 

  • Andel R, Gatz M, Pedersen NL, Reynolds CA, Johansson B, Berg S (2001) Deficits in controlled processing may predict dementia: a twin study. J Gerontol B 56B(6):P347

    Article  Google Scholar 

  • Belsky J, Pluess M (2009) Beyond diathesis stress: differential susceptibility to environmental influences. Psychol Bull 135(6):885–908

    Article  PubMed  Google Scholar 

  • Belsky J, Jonassaint C, Pluess M, Stanton M, Brummett B, Williams R (2009) Vulnerability genes or plasticity genes? Mol Psychiatry 14(8):746–754

    Article  PubMed  PubMed Central  Google Scholar 

  • Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Royal Stat Soc B 57(1):289–300

    Google Scholar 

  • Bennet AM, Reynolds CA, Gatz M, Blennow K, Pedersen NL, Prince JA (2010) Pleiotropy in the presence of allelic heterogeneity: alternative genetic models for the influence of APOE on serum LDL, CSF amyloid-beta42, and dementia. J Alzheimer’s Dis 22(1):129–134

    Google Scholar 

  • Berg K, Kondo I, Drayna D, Lawn R (1989) “Variability gene” effect of cholesteryl ester transfer protein (CETP) genes. Clin Genet 35(6):437–445

    Article  PubMed  Google Scholar 

  • Besser LM, Gill DP, Monsell SE, Brenowitz W, Meranus DH, Kukull W, Gustafson DR (2014) Body mass index, weight change, and clinical progression in mild cognitive impairment and Alzheimer disease. Alzheimer Dis Assoc Disord 28(1):36–43

    Article  PubMed  PubMed Central  Google Scholar 

  • Bozoki A, Giordani B, Heidebrink JL, Berent S, Foster NL (2001) Mild cognitive impairments predict dementia in nondemented elderly patients with memory loss. Arch Neurol 58(3):411–416

    Article  PubMed  Google Scholar 

  • Brown BM, Peiffer JJ, Martins RN (2013a) Multiple effects of physical activity on molecular and cognitive signs of brain aging: can exercise slow neurodegeneration and delay Alzheimer’s disease? Mol Psychiatry 18(8):864–874

    Article  PubMed  Google Scholar 

  • Brown BM, Peiffer JJ, Taddei K, Lui JK, Laws SM, Gupta VB, Taddei T, Ward VK, Rodrigues MA, Burnham S, Rainey-Smith SR, Villemagne VL, Bush A, Ellis KA, Masters CL, Ames D, Macaulay SL, Szoeke C, Rowe CC, Martins RN (2013b) Physical activity and amyloid-beta plasma and brain levels: results from the Australian imaging, biomarkers and lifestyle study of ageing. Mol Psychiatry 18(8):875–881

    Article  PubMed  Google Scholar 

  • Carvalho-Wells AL, Jackson KG, Lockyer S, Lovegrove JA, Minihane AM (2012) APOE genotype influences triglyceride and C-reactive protein responses to altered dietary fat intake in UK adults. Am J Clin Nutr 96(6):1447–1453

    Article  PubMed  Google Scholar 

  • Caspi A, Sugden K, Moffitt TE, Taylor A, Craig IW, Harrington H, McClay J, Mill J, Martin J, Braithwaite A, Poulton R (2003) Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301(5631):386–389

    Article  PubMed  Google Scholar 

  • Cornes BK, Lind PA, Medland SE, Montgomery GW, Nyholt DR, Martin NG (2008) Replication of the association of common rs9939609 variant of FTO with increased BMI in an Australian adult twin population but no evidence for gene by environment (G [times] E) interaction. Int J Obes 33(1):75–79

    Article  Google Scholar 

  • Dahl AK, Hassing LB, Fransson EI, Pedersen NL (2010) Agreement between self-reported and measured height, weight and body mass index in old age—a longitudinal study with 20 years of follow-up. Age Ageing 39(4):445–451

    Article  PubMed  PubMed Central  Google Scholar 

  • Damoiseaux JS, Seeley WW, Zhou J, Shirer WR, Coppola G, Karydas A, Rosen HJ, Miller BL, Kramer JH, Greicius MD (2012) gender modulates the APOE ε4 effect in healthy older adults: convergent evidence from functional brain connectivity and spinal fluid tau levels. J Neurosci 32(24):8254–8262

    Article  PubMed  PubMed Central  Google Scholar 

  • 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 (2014) A genome-wide association study implicates the APOE locus in nonpathological cognitive ageing. Mol Psychiatry 19(1):76–87

    Article  PubMed  Google Scholar 

  • De Marco M, Clough PJ, Dyer CE, Vince RV, Waby JS, Midgley AW, Venneri A (2015) Apolipoprotein E epsilon4 allele modulates the immediate impact of acute exercise on prefrontal function. Behav Genet 45(1):106–116

    Article  PubMed  Google Scholar 

  • Duncan LE, Keller MC (2011) A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry. Am J Psychiatry 168(10):1041–1049

    Article  PubMed  PubMed Central  Google Scholar 

  • Elosua R, Demissie S, Cupples LA, Meigs JB, Wilson PW, Schaefer EJ, Corella D, Ordovas JM (2003) Obesity modulates the association among APOE genotype, insulin, and glucose in men. Obes Res 11(12):1502–1508

    Article  PubMed  Google Scholar 

  • Ewbank DC (2004) The APOE gene and differences in life expectancy in Europe. J Gerontol A 59(1):B16–B20

    Article  Google Scholar 

  • Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, Myers RH, Pericak-Vance MA, Risch N, van Duijn CM (1997) Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer disease meta analysis consortium. JAMA 278(16):1349–1356

    Article  PubMed  Google Scholar 

  • Finkel D, Whitfield K, McGue M (1995) Genetic and environmental influences on functional age: a twin study. J Gerontol B Psychol Sci Soc Sci 50(2):P104–P113

    Article  PubMed  Google Scholar 

  • Finkel D, Reynolds CA, Larsson M, Gatz M, Pedersen NL (2011) Both odor identification and ApoE-epsilon4 contribute to normative cognitive aging. Psychol Aging 26(4):872–883

    Article  PubMed  PubMed Central  Google Scholar 

  • Fisher RA (1925) The resemblance between twins, a statistical examination of Lauterbach’s measurements. Genetics 10:569–579

    PubMed  PubMed Central  Google Scholar 

  • Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12(3):189–198

    Article  PubMed  Google Scholar 

  • Gaetano J (2013) Holm-Bonferroni Sequential Correction: An EXCEL Calculator. In: 1.1.xlsx HsccB (ed). https://www.researchgate.net/publication/236969037_Holm-Bonferroni_Sequential_Correction_An_EXCEL_Calculator

  • Gatz M, Reynolds CA, Finkel D, Hahn CJ, Zhou Y, Zavala C, for the IGEMS Consortium (in press) Data harmonization in aging research: Not so fast. Experimental aging research

  • Gomez-Pinilla F, Hillman C (2013) The influence of exercise on cognitive abilities. Compr Physiol 3(1):403–428

    PubMed  PubMed Central  Google Scholar 

  • Grant MD, Kremen WS, Jacobson KC, Franz C, Xian H, Eisen SA, Toomey R, Murray RE, Lyons MJ (2010) Does parental education have a moderating effect on the genetic and environmental influences of general cognitive ability in early adulthood? Behav Genet 40(4):438–446

    Article  PubMed  Google Scholar 

  • Hamilton JM, Salmon DP, Galasko D, Raman R, Emond J, Hansen LA, Masliah E, Thal LJ (2008) Visuospatial deficits predict rate of cognitive decline in autopsy-verified dementia with Lewy bodies. Neuropsychology 22(6):729–737

    Article  PubMed  PubMed Central  Google Scholar 

  • Head D, Bugg JM, Goate AM, Fagan AM, Mintun MA, Benzinger T, Holtzman DM, Morris JC (2012) Exercise engagement as a moderator of the Effects of APOE genotype on amyloid deposition. Arch Neurol 69(5):636–643

    Article  PubMed  PubMed Central  Google Scholar 

  • Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6(2):65–70

    Google Scholar 

  • Hotting K, Roder B (2013) Beneficial effects of physical exercise on neuroplasticity and cognition. Neurosci Biobehav Rev 37(9 Pt B):2243–2257

    Article  PubMed  Google Scholar 

  • Johnson W, Dahl A, for the IGEMS consortium (2012) Education moderates genetic and environmental influences on body mass index: Findings from the consortium on Interplay of Genes and Environment across Multiple Studies (IGEMS). Gerontological Society of America, San Diego

  • Johnson W, Kyvik KO, Skytthe A, Deary IJ, Sorensen TI (2011) Education modifies genetic and environmental influences on BMI. PLoS One 6(1):e16290

    Article  PubMed  PubMed Central  Google Scholar 

  • Kaprio J (2013) The finnish twin cohort study: an update. Twin Res Hum Genet 16(1):157–162

    Article  PubMed  PubMed Central  Google Scholar 

  • Kaprio J, Koskenvuo M (2002) Genetic and environmental factors in complex diseases: the older Finnish Twin Cohort. Twin Res 5(5):358–365

    Article  PubMed  Google Scholar 

  • Karg K, Burmeister M, Shedden K, Sen S (2011) The serotonin transporter promoter variant (5-httlpr), stress, and depression meta-analysis revisited: evidence of genetic moderation. Arch Gen Psychiatry 68(5):444–454

    Article  PubMed  PubMed Central  Google Scholar 

  • Karlsson IK, Bennet AM, Ploner A, Andersson TML, Reynolds CA, Gatz M, Pedersen NL (2015) Apolipoprotein E ε4 genotype and the temporal relationship between depression and dementia. Neurobiol Aging 36:1751–1756

    Article  PubMed  Google Scholar 

  • Keller L, Xu W, Wang HX, Winblad B, Fratiglioni L, Graff C (2011) The obesity related gene, FTO, interacts with APOE, and is associated with Alzheimer’s disease risk: a prospective cohort study. J Alzheimer’s Dis 23(3):461–469

    Google Scholar 

  • Kendler KS, Kessler RC, Walters EE, MacLean C, Neale MC, Heath AC, Eaves LJ (1995) Stressful life events, genetic liability, and onset of an episode of major depression in women. Am J Psychiatry 152(6):833–842

    Article  PubMed  Google Scholar 

  • Kendler KS, Thornton LM, Gilman SE, Kessler RC (2000) Sexual orientation in a U.S. national sample of twin and nontwin sibling pairs. Am J Psychiatry 157(11):1843–1846

    Article  PubMed  Google Scholar 

  • Kimbrel NA, Hauser MA, Garrett M, Ashley-Koch A, Liu Y, Dennis MF, Klein RC, Veterans Affairs Mid-Atlantic Mental Illness Research E, Clinical Center W, Beckham JC (2015) Effect of the APOE epsilon4 allele and combat exposure on PTSD among Iraq/Afghanistan-Era Veterans. Depression and anxiety

  • Kremen WS, Jacobson KC, Xian H, Eisen SA, Waterman B, Toomey R, Neale MC, Tsuang MT, Lyons MJ (2005) Heritability of word recognition in middle-aged men varies as a function of parental education. Behav Genet 35(4):417–433

    Article  PubMed  Google Scholar 

  • Kremen WS, Franz CE, Lyons MJ (2013) VETSA: the Vietnam era twin study of aging. Twin Res Hum Genet 16(1):399–402

    Article  PubMed  PubMed Central  Google Scholar 

  • Lajunen HR, Kaprio J, Rose RJ, Pulkkinen L, Silventoinen K (2012) Genetic and environmental influences on BMI from late childhood to adolescence are modified by parental education. Obesity (Silver Spring) 20(3):583–589

    Article  Google Scholar 

  • Lichtenstein P, Sullivan PF, Cnattingius S, Gatz M, Johansson S, Carlstrom E, Bjork C, Svartengren M, Wolk A, Klareskog L, de Faire U, Schalling M, Palmgren J, Pedersen NL (2006) The Swedish twin registry in the third millennium: an update. Twin Res Hum Genet 9(6):875–882

    Article  PubMed  Google Scholar 

  • Locke DE, Dueck AC, Stonnington CM, Knopman DS, Geda YE, Caselli RJ (2013) Depressive symptoms in healthy apolipoprotein E epsilon4 carriers and noncarriers: a longitudinal study. J Clin Psychiatry 74(12):1256–1261

    Article  PubMed  PubMed Central  Google Scholar 

  • Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T, Fall T, Ferreira T, Gustafsson S, Kutalik Z, Luan J, Magi R, Randall JC, Winkler TW, Wood AR, Workalemahu T, Faul JD, Smith JA, Hua Zhao J, Zhao W, Chen J, Fehrmann R, Hedman AK, Karjalainen J, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bolton JL, Bragg-Gresham JL, Buyske S, Demirkan A, Deng G, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Goel A, Gong J, Jackson AU, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina-Gomez C, Medland SE, Nalls MA, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Shungin D, Stancakova A, Strawbridge RJ, Ju Sung Y, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet-Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Isaacs A, Albrecht E, Arnlov J, Arscott GM, Attwood AP, Bandinelli S, Barrett A, Bas IN, Bellis C, Bennett AJ, Berne C, Blagieva R, Bluher M, Bohringer S, Bonnycastle LL, Bottcher Y, Boyd HA, Bruinenberg M, Caspersen IH, Ida Chen YD, Clarke R, Daw EW, de Craen AJ, Delgado G, Dimitriou M, Doney AS, Eklund N, Estrada K, Eury E, Folkersen L, Fraser RM, Garcia ME, Geller F, Giedraitis V, Gigante B, Go AS, Golay A, Goodall AH, Gordon SD, Gorski M, Grabe HJ, Grallert H, Grammer TB, Grassler J, Gronberg H, Groves CJ, Gusto G, Haessler J, Hall P, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heard-Costa NL, Helmer Q, Hengstenberg C, Holmen O, Hottenga JJ, James AL, Jeff JM, Johansson A, Jolley J, Juliusdottir T, Kinnunen L, Koenig W, Koskenvuo M, Kratzer W, Laitinen J, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindstrom J, Sin Lo K, Lobbens S, Lorbeer R, Lu Y, Mach F, Magnusson PK, Mahajan A, McArdle WL, McLachlan S, Menni C, Merger S, Mihailov E, Milani L, Moayyeri A, Monda KL, Morken MA, Mulas A, Muller G, Muller-Nurasyid M, Musk AW, Nagaraja R, Nothen MM, Nolte IM, Pilz S, Rayner NW, Renstrom F, Rettig R, Ried JS, Ripke S, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Scott WR, Seufferlein T, Shi J, Vernon Smith A, Smolonska J, Stanton AV, Steinthorsdottir V, Stirrups K, Stringham HM, Sundstrom J, Swertz MA, Swift AJ, Syvanen AC, Tan ST, Tayo BO, Thorand B, Thorleifsson G, Tyrer JP, Uh HW, Vandenput L, Verhulst FC, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Warren HR, Waterworth D, Weedon MN, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, LifeLines Cohort S, Brennan EP, Choi M, Dastani Z, Drong AW, Eriksson P, Franco-Cereceda A, Gadin JR, Gharavi AG, Goddard ME, Handsaker RE, Huang J, Karpe F, Kathiresan S, Keildson S, Kiryluk K, Kubo M, Lee JY, Liang L, Lifton RP, Ma B, McCarroll SA, McKnight AJ, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Okada Y, Perry JR, Dorajoo R, Reinmaa E, Salem RM, Sandholm N, Scott RA, Stolk L, Takahashi A, Tanaka T, Van’t Hooft FM, Vinkhuyzen AA, Westra HJ, Zheng W, Zondervan KT, Consortium AD, Group A-BW, Consortium CAD, Consortium CK, Glgc, Icbp, Investigators M, Mu TC, Consortium MI, Consortium P, ReproGen C, Consortium G, International Endogene C, Heath AC, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Blangero J, Bovet P, Campbell H, Caulfield MJ, Cesana G, Chakravarti A, Chasman DI, Chines PS, Collins FS, Crawford DC, Cupples LA, Cusi D, Danesh J, de Faire U, den Ruijter HM, Dominiczak AF, Erbel R, Erdmann J, Eriksson JG, Farrall M, Felix SB, Ferrannini E, Ferrieres J, Ford I, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gejman PV, Gieger C, Gottesman O, Gudnason V, Gyllensten U, Hall AS, Harris TB, Hattersley AT, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Homuth G, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Illig T, Jacobs KB, Jarvelin MR, Jockel KH, Johansen B, Jousilahti P, Jukema JW, Jula AM, Kaprio J, Kastelein JJ, Keinanen-Kiukaanniemi SM, Kiemeney LA, Knekt P, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimaki T, Lyssenko V, Mannisto S, Marette A, Matise TC, McKenzie CA, McKnight B, Moll FL, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Madden PA, Pasterkamp G, Peden JF, Peters A, Postma DS, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Rioux JD, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schunkert H, Schwarz PE, Sever P, Shuldiner AR, Sinisalo J, Stolk RP, Strauch K, Tonjes A, Tregouet DA, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Volker U, Waeber G, Willemsen G, Witteman JC, Zillikens MC, Adair LS, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bornstein SR, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hui J, Hunter DJ, Hveem K, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, Marz W, Melbye M, Metspalu A, Moebus S, Munroe PB, Njolstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Perusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sattar N, Schadt EE, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Thorsteinsdottir U, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Walker M, Wallaschofski H, Wareham NJ, Watkins H, Weir DR, Wichmann HE, Wilson JF, Zanen P, Borecki IB, Deloukas P, Fox CS, Heid IM, O’Connell JR, Strachan DP, Stefansson K, van Duijn CM, Abecasis GR, Franke L, Frayling TM, McCarthy MI, Visscher PM, Scherag A, Willer CJ, Boehnke M, Mohlke KL, Lindgren CM, Beckmann JS, Barroso I, North KE, Ingelsson E, Hirschhorn JN, Loos RJ, Speliotes EK (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature 518(7538):197–206

    Article  Google Scholar 

  • Lyons MJ, Genderson M, Grant MD, Logue M, Zink T, McKenzie R, Franz CE, Panizzon M, Lohr JB, Jerskey B, Kremen WS (2013) Gene–environment interaction of ApoE genotype and combat exposure on PTSD. Am J Med Gen B Neuropsych Gen 162B(7):762–769

    Article  Google Scholar 

  • Magnusson PK, Almqvist C, Rahman I, Ganna A, Viktorin A, Walum H, Halldner L, Lundstrom S, Ullen F, Langstrom N, Larsson H, Nyman A, Gumpert CH, Rastam M, Anckarsater H, Cnattingius S, Johannesson M, Ingelsson E, Klareskog L, de Faire U, Pedersen NL, Lichtenstein P (2013) The Swedish twin registry: establishment of a biobank and other recent developments. Twin Res Hum Genet 16(1):317–329

    Article  PubMed  Google Scholar 

  • Martin NG (2000) Gene–environment interaction and twin studies. In: Spector T, Snieder H, Mac-Gregor A (eds) Advances in twin and sib-pair analysis. Greenwich Medical Media Ltd, London, pp 143–150

    Google Scholar 

  • Martin NG, Rowell DM, Whitfield JB (1983) Do the MN and Jk systems influence environmental variability in serum lipid levels? Clin Genet 24(1):1–14

    Article  PubMed  Google Scholar 

  • McCaffery JM, Papandonatos GD, Bond DS, Lyons MJ, Wing RR (2009) Gene X environment interaction of vigorous exercise and body mass index among male Vietnam-era twins. Am J Clin Nutr 89(4):1011–1018

    Article  PubMed  PubMed Central  Google Scholar 

  • McClearn GE, Johansson B, Berg S, Pedersen NL, Ahern F, Petrill SA, Plomin R (1997) Substantial genetic influence on cognitive abilities in twins 80 or more years old. Science 276(5318):1560–1563

    Article  PubMed  Google Scholar 

  • McGue M, Christensen K (1997) Genetic and environmental contributions to depression symptomatology: evidence from Danish twins 75 years of age and older. J Abnorm Psychol 106(3):439–448

    Article  PubMed  Google Scholar 

  • McGue M, Christensen K (2013) Growing old but not growing apart: Twin similarity in the latter half of the lifespan. Behav Gen 43:1–12

    Article  Google Scholar 

  • Mustelin L, Silventoinen K, Pietilainen K, Rissanen A, Kaprio J (2009) Physical activity reduces the influence of genetic effects on BMI and waist circumference: a study in young adult twins. Int J Obes 33(1):29–36

    Article  Google Scholar 

  • Nebes RD, Vora IJ, Meltzer CC, Fukui MB, Williams RL, Kamboh MI, Saxton J, Houck PR, DeKosky ST, Reynolds CF (2001) Relationship of deep white matter hyperintensities and apolipoprotein E genotype to depressive symptoms in older adults without clinical depression. Am J Psychiatry 158(6):878–884

    Article  PubMed  Google Scholar 

  • Neiderhiser JA, Reiss D, Lichtenstein P, Spotts EL, Ganiban J (2007) Father-adolescent relationships and the role of genotype-environment correlation. J Fam Psychol 21(4):560–571

    Article  PubMed  Google Scholar 

  • Pahlen S, Hamdi NR, Dahl Aslan AK, Horwitz BN, Panizzon MS, Petersen I, Zavala C, Christensen K, Finkel D, Franz CE, Gatz M, Johnson W, Kremen WS, Krueger RF, Neiderhiser JM, Reynolds CA, Pedersen NL, McGue M (under review) Widespread evidence of age-moderation of genetic and environmental contributions to cognitive functioning in mid- and late-life. Psychol Sci

  • Pedersen NL, McClearn GE, Plomin R, Nesselroade JR, Berg S, DeFaire U (1991) The Swedish Adoption twin study of aging: an update. Acta Genet Med Gemellol 40(1):7–20

    Article  PubMed  Google Scholar 

  • Pedersen NL, Christensen K, Dahl AK, Finkel D, Franz CE, Gatz M, Horwitz BN, Johansson B, Johnson W, Kremen WS, Lyons MJ, Malmberg B, McGue M, Neiderhiser JM, Petersen I, Reynolds CA (2013) IGEMS: the consortium on interplay of genes and environment across multiple studies. Twin Res Hum Genet 16(1):481–489

    Article  PubMed  PubMed Central  Google Scholar 

  • Radler BT (2014) The midlife in the United States (MIDUS) series: A national longitudinal study of health and well-being. Open health data 2(1):e3

    Article  PubMed  PubMed Central  Google Scholar 

  • Radloff LS (1977) The CES-D scale a self-report depression scale for research in the general population. Appl Psychol Meas 1(3):385–401

    Article  Google Scholar 

  • Reynolds CA, Finkel D, McArdle JJ, Gatz M, Berg S, Pedersen NL (2005) Quantitative genetic analysis of latent growth curve models of cognitive abilities in adulthood. Dev Psychol 41(1):3–16

    Article  PubMed  Google Scholar 

  • Reynolds CA, Prince JA, Feuk L, Brookes AJ, Gatz M, Pedersen NL (2006) Longitudinal memory performance during normal aging: twin association models of APOE and other Alzheimer candidate genes. Behav Genet 36(2):185–194

    Article  PubMed  Google Scholar 

  • Reynolds CA, Gatz M, Berg S, Pedersen NL (2007) Genotype-environment interactions: cognitive aging and social factors. Twin Res Hum Genet 10(2):241–254

    Article  PubMed  Google Scholar 

  • Reynolds CA, Zavala C, Gatz M, Vie L, Johansson B, Malmberg B, Ingelsson E, Prince JA, Pedersen NL (2013) Sortilin receptor 1 predicts longitudinal cognitive change. Neurobiol Aging 34(6):1710.e1711–1710.e1718

    Article  Google Scholar 

  • Rokholm B, Silventoinen K, Tynelius P, Gamborg M, Sørensen TIA, Rasmussen F (2011) Increasing genetic variance of body mass index during the swedish obesity epidemic. PLoS One 6(11):e27135

    Article  PubMed  PubMed Central  Google Scholar 

  • Rosenthal R (1991) Meta-analytic procedures for social research. Sage, Newbury Park

    Book  Google Scholar 

  • Rutter M (2012) Achievements and challenges in the biology of environmental effects. Proc Natl Acad Sci USA 109(2):17149–17153

    Article  PubMed  PubMed Central  Google Scholar 

  • Rutter M, Silberg J (2002) Gene–environment interplay in relation to emotional and behavioral disturbance. Annu Rev Psychol 53:463–490

    Article  PubMed  Google Scholar 

  • Salmon DP, Ferris SH, Thomas RG, Sano M, Cummings JL, Sperling RA, Petersen RC, Aisen PS (2013) Age and APOE genotype influence rate of cognitive decline in non-demented elderly. Neuropsychology. doi:10.1037/a0032707

    Google Scholar 

  • Salthouse TA (2009) When does age-related cognitive decline begin? Neurobiol Aging 30(4):507–514

    Article  PubMed  PubMed Central  Google Scholar 

  • Schaie KW (1994) The course of adult intellectual development. Am Psychol 49(4):304–313

    Article  PubMed  Google Scholar 

  • Schellenberg GD, Montine TJ (2012) The genetics and neuropathology of Alzheimer’s disease. Acta Neuropathol 124:305–323

    Article  PubMed  PubMed Central  Google Scholar 

  • Schultz MR, Lyons MJ, Franz CE, Grant MD, Boake C, Jacobson KC, Xian H, Schellenberg GD, Eisen SA, Kremen WS (2008) Apolipoprotein E genotype and memory in the sixth decade of life. Neurology 70(19 Pt 2):1771–1777

    Article  PubMed  PubMed Central  Google Scholar 

  • Silventoinen K, Sarlio-Lahteenkorva S, Koskenvuo M, Lahelma E, Kaprio J (2004) Effect of environmental and genetic factors on education-associated disparities in weight and weight gain: a study of Finnish adult twins. Am J Clin Nutr 80(4):815–822

    PubMed  Google Scholar 

  • Silventoinen K, Hasselbalch AL, Lallukka T, Bogl L, Pietilainen KH, Heitmann BL, Schousboe K, Rissanen A, Kyvik KO, Sorensen TI, Kaprio J (2009) Modification effects of physical activity and protein intake on heritability of body size and composition. Am J Clin Nutr 90(4):1096–1103

    Article  PubMed  PubMed Central  Google Scholar 

  • Skoog I, Waern M, Duberstein P, Blennow K, Zetterberg H, Börjesson-Hanson A, Östling S, Guo X, Kern J, Gustafson D, Gudmundsson P, Marlow T, Kern S (2015) A 9-year prospective population-based study on the association between the APOE*E4 allele and late-life depression in Sweden. Biol Psychiatry. doi:10.1016/j.biopsych.2015.01.006

    PubMed  Google Scholar 

  • Skytthe A, Christiansen L, Kyvik KO, Bodker FL, Hvidberg L, Petersen I, Nielsen MM, Bingley P, Hjelmborg J, Tan Q, Holm NV, Vaupel JW, McGue M, Christensen K (2013) The Danish Twin Registry: linking surveys, national registers, and biological information. Twin Res Hum Genet 16(1):104–111

    Article  PubMed  PubMed Central  Google Scholar 

  • South SC, Krueger RF (2011) Genetic and environmental influences on internalizing psychopathology vary as a function of economic status. Psychol Med 41(1):107–117

    Article  PubMed  Google Scholar 

  • Sundstrom A, Marklund P, Nilsson LG, Cruts M, Adolfsson R, Van Broeckhoven C, Nyberg L (2004) APOE influences on neuropsychological function after mild head injury: within-person comparisons. Neurology 62(11):1963–1966

    Article  PubMed  Google Scholar 

  • Sundstrom A, Nilsson LG, Cruts M, Adolfsson R, Van Broeckhoven C, Nyberg L (2007) Increased risk of dementia following mild head injury for carriers but not for non-carriers of the APOE epsilon4 allele. Int Psychoger 19(1):159–165

    Article  Google Scholar 

  • Surakka I, Whitfield JB, Perola M, Visscher PM, Montgomery GW, Falchi M, Willemsen G, de Geus EJ, Magnusson PK, Christensen K, Sorensen TI, Pietilainen KH, Rantanen T, Silander K, Widen E, Muilu J, Rahman I, Liljedahl U, Syvanen AC, Palotie A, Kaprio J, Kyvik KO, Pedersen NL, Boomsma DI, Spector T, Martin NG, Ripatti S, Peltonen L, Genom EP (2012) A genome-wide association study of monozygotic twin-pairs suggests a locus related to variability of serum high-density lipoprotein cholesterol. Twin Res Hum Genet 15(6):691–699

    Article  PubMed  PubMed Central  Google Scholar 

  • Surtees PG, Wainwright NWJ, Bowman R, Luben RN, Wareham NJ, Khaw K-T, Bingham SA (2009) No association between APOE and major depressive disorder in a community sample of 17,507 adults. J Psychiatr Res 43(9):843–847

    Article  PubMed  Google Scholar 

  • Tabert MH, Manly JJ, Liu X, Pelton GH, Rosenblum S, Jacobs M, Zamora D, Goodkind M, Bell K, Stern Y, Devanand DP (2006) Neuropsychological prediction of conversion to Alzheimer disease in patients with mild cognitive impairment. Arch Gen Psychiatry 63(8):916–924

    Article  PubMed  Google Scholar 

  • Tang MX, Maestre G, Tsai WY, Liu XH, Feng L, Chung WY, Chun M, Schofield P, Stern Y, Tycko B, Mayeux R (1996) Effect of age, ethnicity, and head injury on the association between APOE genotypes and Alzheimer’s disease. Ann N Y Acad Sci 802:6–15

    Article  PubMed  Google Scholar 

  • Taylor WD, Aizenstein HJ, Alexopoulos GS (2013) The vascular depression hypothesis: mechanisms linking vascular disease with depression. Mol Psychiatry 18(9):963–974

    Article  PubMed  PubMed Central  Google Scholar 

  • Turkheimer E, Horn EE (2014) Interactions between socioeconomic status and components of variation in cognitive ability. In: Finkel D, Reynolds CA (eds) Behavior genetics of cognition across the lifespan. Springer, Riverside, pp 41–68

    Chapter  Google Scholar 

  • Vinkhuyzen AA, van der Sluis S, Posthuma D (2012) Interaction between experience seeking and genetic and environmental influences on general cognitive ability. Twin Res Hum Genet 15(1):87–96

    Article  PubMed  Google Scholar 

  • Visscher PM, Posthuma D (2010) Statistical power to detect genetic Loci affecting environmental sensitivity. Behav Genet 40(5):728–733

    Article  PubMed  Google Scholar 

  • Ward A, Crean S, Mercaldi CJ, Collins JM, Boyd D, Cook MN, Arrighi HM (2012) Prevalence of apolipoprotein E4 genotype and homozygotes (APOE e4/4) among patients diagnosed with Alzheimer’s disease: a systematic review and meta-analysis. Neuroepidemiology 38(1):1–17

    Article  PubMed  Google Scholar 

  • Weinkauf M (2012) False discovery rate Excel spreadsheet (41,86 KB)—Marum. In: BenjaminiHochberg.xlsx (ed), https://www.marum.de/Binaries/Binary745/BenjaminiHochberg.xlsx

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Acknowledgments

IGEMS is supported by the National Institutes of Health Grant no. R01 AG037985. SATSA was supported by Grants R01 AG04563, R01 AG10175, the MacArthur Foundation Research Network on Successful Aging, the Swedish Council For Working Life and Social Research (FAS) (97:0147:1B, 2009-0795) and Swedish Research Council (825-2007-7460, 825-2009-6141). OCTO-Twin was supported by Grant R01 AG08861. Gender was supported by the MacArthur Foundation Research Network on Successful Aging, The Axel and Margaret Ax:son Johnson’s Foundation, The Swedish Council for Social Research, and the Swedish Foundation for Health Care Sciences and Allergy Research. TOSS was supported by Grant R01 MH54610 from the National Institute of Health. The Danish Twin Registry is supported by Grants from The National Program for Research Infrastructure 2007 from the Danish Agency for Science and Innovation, the Velux Foundation and the US National Institute of Health (P01 AG08761). The Minnesota Twin Study of Adult Development and Aging was supported by NIA Grant R01 AG 06886. VETSA was supported by National Institute of Health Grants NIA R01 AG018384, R01 AG018386, R01 AG022381, and R01 AG022982, and, in part, with resources of the VA San Diego Center of Excellence for Stress and Mental Health. The Cooperative Studies Program of the Office of Research & Development of the United States Department of Veterans Affairs has provided financial support for the development and maintenance of the Vietnam Era Twin (VET) Registry. This MIDUS study was supported by the John D. and Catherine T. MacArthur Foundation Research Network on Successful Midlife Development and by National Institute on Aging Grant AG20166. The Finnish Twin Cohort study has been supported by Academy of Finland Center of Excellence in Complex Disease Genetics (Grant numbers: 213506, 129680), the Academy of Finland (Grants 265240, 263278 & 264146 to JK) and ENGAGE – European Network for Genetic and Genomic Epidemiology, FP7-HEALTH-F4-2007, Grant agreement number 201413. The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the NIA/NIH, or the VA.

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Dr. Korhonen has served as a consultant on nicotine dependence for Pfizer (Finland) in 2011-2015.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the respective institutional and/or national research committees for each participating study providing archival data, and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Members of the consortium on Interplay of Genes and Environment across Multiple Studies (IGEMS) are listed in Appendix.

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Members of the consortium on Interplay of Genes and Environment across Multiple Studies (IGEMS) include: Nancy L. Pedersen (Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, and Department of Psychology, University of Southern California, Los Angeles, CA), Kaare Christensen (Department of Epidemiology, University of Southern Denmark, Odense, Denmark), Anna K. Dahl Aslan (Institute of Gerontology, School of Health Sciences, Jönköping University, Jönköping, Sweden), Deborah Finkel (Department of Psychology, Indiana University Southeast, New Albany, IN), Carol E. Franz (Department of Psychiatry, University of California, San Diego, La Jolla, CA), Margaret Gatz (Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, and Department of Psychology, University of Southern California, Los Angeles, CA), Briana N. Horwitz (Department of Psychology, California State University, Fullerton, CA), Boo Johansson (Department of Psychology, University of Gothenburg, Gothenburg, Sweden), Wendy Johnson (Department of Psychology and Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK), Jaakko Kaprio, Department of Public Health, University of Helsinki, Helsinki, Finland), William S. Kremen (Department of Psychiatry, University of California, San Diego, and VA Center of Excellence for Stress and Mental Health, La Jolla, CA), Robert Krueger (Department of Psychology, University of Minnesota, Minneapolis, MN), Michael J. Lyons (Department of Psychological and Brain Sciences, Boston University, Boston, MA), Matt McGue (Department of Psychology, University of Minnesota, Minneapolis, MN), Jenae M. Neiderhiser (Department of Psychology, The Pennsylvania State University, University Park, PA), Matthew S. Panizzon (Department of Psychiatry, University of California, San Diego, La Jolla, CA), Inge Petersen (Department of Epidemiology, University of Southern Denmark, Odense, Denmark), and Chandra A. Reynolds (Department of Psychology, University of California-Riverside, Riverside, CA).

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Reynolds, C.A., Gatz, M., Christensen, K. et al. Gene–Environment Interplay in Physical, Psychological, and Cognitive Domains in Mid to Late Adulthood: Is APOE a Variability Gene?. Behav Genet 46, 4–19 (2016). https://doi.org/10.1007/s10519-015-9761-3

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