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Genetic and environmental influences on last-year major depression in adulthood: a highly heritable stable liability but strong environmental effects on 1-year prevalence

Published online by Cambridge University Press:  15 February 2017

K. S. Kendler  and
C. O. Gardner
K. S. Kendler*
Affiliation:
Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA Department of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
C. O. Gardner
Affiliation:
Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
*
*Address for correspondence: K. S. Kendler, M.D., Department of Psychiatry and Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics of VCU, Box 980126, Richmond, VA 23298-0126, USA. (Email: [email protected])
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Abstract

Background

This study seeks to clarify the contribution of temporally stable and occasion-specific genetic and environmental influences on risk for major depression (MD).

Method

Our sample was 2153 members of female–female twin pairs from the Virginia Twin Registry. We examined four personal interview waves conducted over an 8-year period with MD in the last year defined by DSM-IV criteria. We fitted a structural equation model to the data using classic Mx. The model included genetic and environmental risk factors for a latent, stable vulnerability to MD and for episodes in each of the four waves.

Results

The best-fit model was simple and included genetic and unique environmental influences on the latent liability to MD and unique wave-specific environmental effects. The path from latent liability to MD in the last year was constant over time, moderate in magnitude (+0.65) and weaker than the impact of occasion-specific environmental effects (+0.76). Heritability of the latent stable liability to MD was much higher (78%) than that estimated for last-year MD (32%). Of the total unique environmental influences on MD, 13% reflected enduring consequences of earlier environmental insults, 17% diagnostic error and 70% wave-specific short-lived environmental stressors.

Conclusions

Both genetic influences on MD and MD heritability are stable over middle adulthood. However, the largest influence on last-year MD is short-lived environmental effects. As predicted by genetic theory, the heritability of MD is increased substantially by measurement at multiple time points largely through the reduction of the effects of measurement error and short-term environmental risk factors.

Keywords

Environmentheritabilitylongitudinal studymajor depression
Type
Original Articles
Information
Psychological Medicine , Volume 47 , Issue 10 , July 2017 , pp. 1816 - 1824
Copyright
Copyright © Cambridge University Press 2017 

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References

Akaike, H (1987). Factor analysis and AIC. Psychometrika 52, 317–332.Google Scholar
Andrews, G, Anstey, K, Brodaty, H, Issakidis, C, Luscombe, G (1999). Recall of depressive episode 25 years previously. Psychological Medicine 29, 787–791.Google Scholar
APA (1987). Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition. American Psychiatric Association: Washington, DC.Google Scholar
APA (2013). Diagnostic and Statistical Manual of Mental Disorders: Fifth Edition, DSM-5. American Psychiatric Association: Washington, DC.Google Scholar
Bebbington, PE, Tennant, C, Hurry, J (1981). Adversity and the nature of psychiatric disorder in the community. Journal of Affective Disorders 3, 345–366.Google Scholar
Belli, RF (1998). The structure of autobiographical memory and the event history calendar: potential improvements in the quality of retrospective reports in surveys. Memory 6, 383–406.Google Scholar
Boardman, JD, Alexander, KB, Stallings, MC (2011). Stressful life events and depression among adolescent twin pairs. Biodemography and Social Biology 57, 53–66.Google Scholar
Bromet, EJ, Dunn, LO, Connell, MM, Dew, MA, Schulberg, HC (1986). Long-term reliability of diagnosing lifetime major depression in a community sample. Archives of General Psychiatry 43, 435–440.Google Scholar
Brown, GW, Harris, TO (1978). Social Origins of Depression: A Study of Psychiatric Disorder in Women London. The Free Press (a division of Macmillan Publishing Company): NY, USA.Google Scholar
Cohen, J (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement XX, 37–46.Google Scholar
CONVERGE Consortium (2015). Sparse whole-genome sequencing identifies two loci for major depressive disorder. Nature 523, 588–591.Google Scholar
Coughlin, SS (1990). Recall bias in epidemiologic studies. Journal of Clinical Epidemiology 43, 87–91.Google Scholar
Falconer, DS (1989). Introduction to Quantitative Genetics, 3 edn. Wiley: New York.Google Scholar
Fergusson, DM, Mullen, PE (1999). Childhood Sexual Abuse: An Evidence Based Perspective. Sage Publications, Inc.: Thousand Oaks, CA.Google Scholar
Foley, DL, Neale, MC, Kendler, KS (1998). Reliability of a lifetime history of major depression: implications for heritability and co-morbidity. Psychological Medicine 28, 857–870.Google Scholar
Guerrini, I, Cook, CC, Kest, W, Devitgh, A, McQuillin, A, Curtis, D, Gurling, HM (2005). Genetic linkage analysis supports the presence of two susceptibility loci for alcoholism and heavy drinking on chromosome 1p22.1-11.2 and 1q21.3-24.2. BMC Genetics 6, 11.Google Scholar
Hasin, DS, Goodwin, RD, Stinson, FS, Grant, BF (2005). Epidemiology of major depressive disorder – results from the National Epidemiologic Survey on Alcoholism and Related Conditions. Archives of General Psychiatry 62, 1097–1106.Google Scholar
Kendler, KS, Bulik, CM, Silberg, J, Hettema, JM, Myers, J, Prescott, CA (2000). Childhood sexual abuse and adult psychiatric and substance use disorders in women: an epidemiological and cotwin control analysis. Archives of General Psychiatry 57, 953–959.Google Scholar
Kendler, KS, Fiske, A, Gardner, CO, Gatz, M (2009). Delineation of two genetic pathways to major depression. Biological Psychiatry 65, 808–811.Google Scholar
Kendler, KS, Gardner, CO (2016). Depressive vulnerability, stressful life events and episode onset of major depression: a longitudinal model. Psychological Medicine 46, 1865–1874.Google Scholar
Kendler, KS, Gardner, CO, Lichtenstein, P (2008). A developmental twin study of symptoms of anxiety and depression: evidence for genetic innovation and attenuation. Psychological Medicine 38, 1567–1575.Google Scholar
Kendler, KS, Gardner, CO, Neale, MC, Prescott, CA (2001 a). Genetic risk factors for major depression in men and women: similar or different heritabilities and same or partly distinct genes? Psychological Medicine 31, 605–616.Google Scholar
Kendler, KS, Gardner, CO, Prescott, CA (2001 b). Are there sex differences in the reliability of a lifetime history of major depression and its predictors? Psychological Medicine 31, 617–625.Google Scholar
Kendler, KS, Gardner, CO, Prescott, CA (2002). Toward a comprehensive developmental model for major depression in women. American Journal of Psychiatry 159, 1133–1145.Google Scholar
Kendler, KS, Gatz, M, Gardner, C, Pedersen, N (2006). A Swedish National Twin Study of lifetime major depression. American Journal of Psychiatry 163, 109–114.Google Scholar
Kendler, KS, Halberstadt, LJ (2013). The road not taken: life experiences in monozygotic twin pairs discordant for major depression. Molecular Psychiatry 18, 975–984.Google Scholar
Kendler, KS, Karkowski, LM, Prescott, CA (1998). Stressful life events and major depression: risk period, long-term contextual threat, and diagnostic specificity. Journal of Nervous and Mental Disease 186, 661–669.Google Scholar
Kendler, KS, Kuhn, JW, Vittum, J, Prescott, CA, Riley, B (2005). The interaction of stressful life events and a serotonin transporter polymorphism in the prediction of episodes of major depression: a replication. Archives of General Psychiatry 62, 529–535.Google Scholar
Kendler, KS, Neale, M, Kessler, R, Heath, A, Eaves, L (1993 a). A twin study of recent life events and difficulties. Archives of General Psychiatry 50, 789–796.Google Scholar
Kendler, KS, Neale, MC, Kessler, RC, Heath, AC, Eaves, LJ (1993 b). A longitudinal twin study of 1-year prevalence of major depression in women. Archives of General Psychiatry 50, 843–852.Google Scholar
Kendler, KS, Pedersen, NL, Farahmand, BY, Persson, PG (1996). The treated incidence of psychotic and affective illness in twins compared with population expectation: a study in the Swedish Twin and Psychiatric Registries. Psychological Medicine 26, 1135–1144.Google Scholar
Kendler, KS, Prescott, CA (1999). A population-based twin study of lifetime major depression in men and women. Archives of General Psychiatry 56, 39–44.Google Scholar
Kendler, KS, Prescott, CA (2006). Genes, Environment, and Psychopathology: Understanding the Causes of Psychiatric and Substance Use Disorders, 1st edn. Guilford Press: New York.Google Scholar
Kessler, RC, McGonagle, KA, Zhao, S, Nelson, CB, Hughes, M, Eshleman, S, Wittchen, HU, Kendler, KS (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Archives of General Psychiatry 51, 8–19.CrossRefGoogle ScholarPubMed
Kruijshaar, ME, Barendregt, J, Vos, T, de, GR, Spijker, J, Andrews, G (2005). Lifetime prevalence estimates of major depression: an indirect estimation method and a quantification of recall bias. European Journal of Epidemiology 20, 103–111.Google Scholar
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium (2012). A mega-analysis of genome-wide association studies for major depressive disorder. Molecular Psychiatry 18, 497–511.Google Scholar
Middeldorp, CM, Cath, DC, Vink, JM, Boomsma, DI (2005). Twin and genetic effects on life events. Twin Research and Human Genetics 8, 224–231.CrossRefGoogle ScholarPubMed
Moffitt, TE, Caspi, A, Taylor, A, Kokaua, J, Milne, BJ, Polanczyk, G, Poulton, R (2010). How common are common mental disorders? Evidence that lifetime prevalence rates are doubled by prospective versus retrospective ascertainment. Psychological Medicine 40, 899–909.Google Scholar
Neale, MC, Boker, SM, Xie, G, Maes, HH (2003). Mx: Statistical Modeling, 6th edn. Box 980126. Dept. of Psychiatry, Virginia Commonwealth University Medical School: Richmond, VA.Google Scholar
Neale, MC, Eaves, LJ, Kendler, KS (1994). The power of the classical twin study to resolve variation in threshold traits. Behavior Genetics 24, 239–258.Google Scholar
Nelson, EC, Heath, AC, Madden, PA, Cooper, ML, Dinwiddie, SH, Bucholz, KK, Glowinski, A, McLaughlin, T, Dunne, MP, Statham, DJ, Martin, NG (2002). Association between self-reported childhood sexual abuse and adverse psychosocial outcomes: results from a twin study. Archives of General Psychiatry 59, 139–145.Google Scholar
Nivard, MG, Dolan, CV, Kendler, KS, Kan, KJ, Willemsen, G, van Beijsterveldt, CE, Lindauer, RJ, van Beek, JH, Geels, LM, Bartels, M, Middeldorp, CM, Boomsma, DI (2014). Stability in symptoms of anxiety and depression as a function of genotype and environment: a longitudinal twin study from ages 3 to 63 years. Psychological Medicine, 1–11.Google Scholar
Patten, SB (2003). Recall bias and major depression lifetime prevalence. Social Psychiatry and Psychiatric Epidemiology 38, 290–296.Google Scholar
Silberg, JL, Rutter, M, Eaves, L (2001). Genetic and environmental influences on the temporal association between earlier anxiety and later depression in girls. Biological Psychiatry 49, 1040–1049.Google Scholar
Spitzer, RL, Williams, JBW (1985). Structured Clinical Interview for DSM-III-R (SCID) . Biometrics Research Department, New York State Psychiatric Institute: New York.Google Scholar
Sullivan, PF, Neale, MC, Kendler, KS (2000). Genetic epidemiology of major depression: review and meta-analysis. American Journal of Psychiatry 157, 1552–1562.Google Scholar
Surtees, PG, Miller, PM, Ingham, JG, Kreitman, NB, Rennie, D, Sashidharan, SP (1986). Life events and the onset of affective disorder. A longitudinal general population study. Journal of Affective Disorders 10, 37–50.Google Scholar
Waszczuk, MA, Zavos, HM, Gregory, AM, Eley, TC (2016). The stability and change of etiological influences on depression, anxiety symptoms and their co-occurrence across adolescence and young adulthood. Psychological Medicine 46, 161–175.Google Scholar
Wells, JE, Horwood, LJ (2004). How accurate is recall of key symptoms of depression? A comparison of recall and longitudinal reports. Psychological Medicine 34, 1001–1011.Google Scholar