Cited by 132Genetic Associations and EpidemiologyTreatment of Major DepressionNeurotransmitter Receptor Influence on Behavior

The Genetic Epidemiology of Treated Major Depression in Sweden

Open access
Kendler, Kenneth S., Ohlsson, Henrik, Lichtenstein, Paul, Sundquist, Jan, Sundquist, Kristina·2018·American Journal of Psychiatry

Abstract

OBJECTIVE: The authors examined the heritability of treated major depression in a twin and full/half-sibling design, to describe key genetic epidemiological features of major depression and to determine which clinical indices of genetic liability optimally predict risk of depression in relatives. METHOD: The authors examined all treated cases of major depression in Sweden recorded in inpatient, specialist, and primary care registries and, using OpenMx, estimated the etiologic role of genetic and environmental factors from monozygotic and dizygotic twin pairs and full and half siblings reared together and apart (total N=1,718,863 pairs). Eight indices of genetic risk were examined in 875,010 proband-relative pairs. RESULTS: The heritability of major depression in men and women was estimated at 0.41 (95% CI=0.21, 0.49) and 0.49 (95% CI=0.31, 0.56), respectively, in the twin design and 0.36 (95% CI=0.31, 0.38) and 0.51 (95% CI=0.51, 0.53), respectively, in the independent full/half-sibling design. The best estimate of the correlation in genetic effects across sexes was 0.89 (95% CI=0.87, 0.91). The results also showed evidence of modest shared environmental effects (0.02-0.05). Seven of the eight indices predicted risk for major depression in relatives, with stronger effects in those more closely related. The strongest indices were early age at onset, recurrence, comorbid anxiety disorder, and measures of clinical severity. CONCLUSIONS: In a large national sample, the heritability of major depression was similar when estimated from twin and full/half-sibling designs. The heritability of major depression was greater in women than in men, with the two sexes sharing most but not all genetic risk factors. In affected individuals, genetic risk for major depression could be meaningfully assessed from commonly available clinical indices.

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

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

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

Integrity signals

Registry

Crossref · 10.1176/appi.ajp.2018.17111251

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

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

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

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

Claims other papers make about this one

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

  • The population prevalence of treated MD in Sweden (20.0% in females and 10.8% in males for those born 1970-1990) suggests that the study is not substantially under-ascertaining MD.

    “the population prevalence of treated MD nationally from those born from 1970 to 1990, equals 20.0 in females and 10.8% in males which suggests that we are not substantially under-ascertaining this disorder”

    From The development of an environmental risk score using Swedish National Registers and its impact on subsequent episodes of major depression (2025) · cites this paper as Kendler, Ohlsson, Lichtenstein, Sundquist, & Sundquist, 2018

    The Limitations section (page unavailable) reports treated-major-depression rates of 12.2% in women and 7.1% in men, not the quoted 20.0% and 10.8%. It also estimates that only about 50–60% of people with lifetime depression seek treatment, contrary to the suggestion that studying treated cases does not substantially under-ascertain major depression. (LLM, conf=0.82)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • Previous studies have indicated that men and women share most, but not all, genetic factors that influence the risk of depression.

    “Previous studies have indicated that men and women share most, but not all, genetic factors that influence the risk of depression (Kendler, Ohlsson, Lichtenstein, Sundquist, & Sundquist, 2018; Sullivan, Neale, & Kendler, 2000).”

    From Stressful life events increase the risk of major depressive episodes: A population-based twin study (2023) · cites this paper as Kendler, Ohlsson, Lichtenstein, Sundquist, & Sundquist, 2018

Self-check

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

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

Cites

Flagged first, then by citations

Research works printed but not linked: 32

  1. Gershon ES, Weissman MM, Guroff JJ, et al: Validation of criteria for major depression through controlled family study. J Affect Dis- ord 1986; 11:125-131
  2. Weissman MM, Wickramaratne P, Merikangas KR, et al: Onset of major depression in early adulthood: increased familial loading and specificity. Arch Gen Psychiatry 1984; 41:1136-1143
  3. McGuffin P, Katz R, Watkins S, et al: A hospital-based twin register of the heritability of DSM-IV unipolar depression. Arch Gen Psychi- atry 1996; 53:129-136
  4. Kendler KS, Neale MC, Kessler RC, et al: A population-based twin study of major depression in women: the impact of varying defini- tions of illness. Arch Gen Psychiatry 1992; 49:257-266
  5. Bierut LJ, Heath AC, Bucholz KK, et al: Major depressive disorder in a community-based twin sample: are there different genetic and environmental contributions for men and women? Arch Gen Psy- chiatry 1999; 56:557-563
  6. Sullivan PF, Neale MC, Kendler KS: Genetic epidemiology of major depression: review and meta-analysis. Am J Psychiatry 2000; 157: 1552-1562
  7. Yang J, Zeng J, Goddard ME, et al: Concepts, estimation, and in- terpretation of SNP-based heritability. Nat Genet 2017; 49:1304-1310
  8. Lee SH, Ripke S, Neale BM, et al: Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet 2013; 45:984-994
  9. Wray NR, Lee SH, Mehta D, et al: Research review: polygenic methods and their application to psychiatric traits. J Child Psychol Psychiatry 2014; 55:1068-1087
  10. CONVERGE consortium: Sparse whole-genome sequencing iden- tifies two loci for major depressive disorder. Nature 2015; 523:588-591
  11. Wray NR, Ripke S, Mattheisen M, et al: Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat Genet 2018; 50:668-681
  12. Chen X, Kuja-Halkola R, Rahman I, et al: Dominant genetic varia- tion and missing heritability for human complex traits: insights from twin versus genome-wide common SNP models. Am J Hum Genet 2015; 97:708-714
  13. Joseph J: Twin studies in psychiatry and psychology: science or pseudoscience? Psychiatr Q 2002; 73:71-82
  14. Pam A, Kemker SS, Ross CA, et al: The "equal environments as- sumption" in MZ-DZ twin comparisons: an untenable premise of psychiatric genetics? Acta Genet Med Gemellol (Roma) 1996; 45: 349-360
  15. Kendler KS, Ohlsson H, Edwards AC, et al: A novel sibling-based design to quantify genetic and shared environmental effects: ap- plication to drug abuse, alcohol use disorder, and criminal behavior. Psychol Med 2016; 46:1639-1650
  16. Pettersson E, Larsson H, Lichtenstein P: Common psychiatric disorders share the same genetic origin: a multivariate sibling study of the Swedish population. Mol Psychiatry 2016; 21: 717-721
  17. Kendler KS, Gatz M, Gardner CO, et al: A Swedish national twin study of lifetime major depression. Am J Psychiatry 2006; 163: 109-114
  18. Kendler KS, Gardner CO, Neale MC, et al: Genetic risk factors for major depression in men and women: similar or different herita- bilities and same or partly distinct genes? Psychol Med 2001; 31: 605-616
  19. Kendler KS, Pedersen N, Johnson L, et al: A pilot Swedish twin study of affective illness, including hospital-and population-ascertained subsamples. Arch Gen Psychiatry 1993; 50:699-700
  20. Kendler KS, Gatz M, Gardner CO, et al: Clinical indices of famil- ial depression in the Swedish Twin Registry. Acta Psychiatr Scand 2007; 115:214-220
  21. Sundquist J, Ohlsson H, Sundquist K, et al: Common adult psy- chiatric disorders in Swedish primary care where most mental health patients are treated. BMC Psychiatry 2017; 17:235
  22. Falconer DS: The inheritance of liability to certain diseases, esti- mated from the incidence among relatives. Ann Hum Genet 1965; 29: 51-76
  23. Neale MC, Hunter MD, Pritikin JN, et al: OpenMx 2.0: extended structural equation and statistical modeling. Psychometrika 2016; 81:535-549
  24. Conley D, Rauscher E, Dawes C, et al: Heritability and the equal environments assumption: evidence from multiple samples of mis- classified twins. Behav Genet 2013; 43:415-426
  25. Barnes JC, Wright JP, Boutwell BB, et al: Demonstrating the validity of twin research in criminology. Criminology 2014; 52:588-626
  26. Kendler KS, Neale MC, Kessler RC, et al: Parental treatment and the equal environment assumption in twin studies of psychiatric illness. Psychol Med 1994; 24:579-590
  27. Neale MC, Eaves LJ, Kendler KS: The power of the classical twin study to resolve variation in threshold traits. Behav Genet 1994; 24: 239-258 Am J Psychiatry 175:11, November 2018 ajp.psychiatryonline.org 1143
  28. Kendler KS, Ohlsson H, Sundquist K, et al: Sources of parent- offspring resemblance for major depression in a national Swedish extended adoption study. JAMA Psychiatry 2018; 75: 194-200
  29. Kringlen E, Torgersen S, Cramer V: A Norwegian psychiatric epi- demiological study. Am J Psychiatry 2001; 158:1091-1098
  30. Olfson M, Marcus SC, Druss B, et al: National trends in the outpatient treatment of depression. JAMA 2002; 287:203-209
  31. Bromet EJ, Andrade LH, Bruffaerts R, et al: Major Depressive Disorder, in Mental Disorders Around the World: Facts and Figures From the World Mental Health Surveys. Edited by Scott KM, de Jonge P, Stein D, et al. New York, Cambridge University Press, 2018, pp 41-56
  32. Kendler KS, PirouziFard M, Lönn S, et al: A national Swedish twin- sibling study of alcohol use disorders. Twin Res Hum Genet 2016; 19: 430-437 1144 ajp.psychiatryonline.org Am J Psychiatry 175:11, November 2018

Cited by

Sorted by citations

Authors
Kendler, K. S., Ohlsson, H., Lichtenstein, P., Sundquist, J., & Sundquist, K.
Affiliations
Virginia Commonwealth University (US)
Venue
American Journal of Psychiatry
Published
2018-11-01
Volume
175
Issue
11
Pages
1137-1144
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
OpenAlex
W2883451111
Cited by
132
References
4
Citations by year
2026: 15 · 2025: 22 · 2024: 25 · 2023: 24 · 2022: 16 · 2021: 16 · 2020: 10 · 2019: 1 · 2018: 3
FWCI
4.53
Type
journal article
Language
en
Open access
Locations
  • American Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Keywords
major depressive disorder, heritability, genetic susceptibility, twin studies, sex differences, shared environmental effects, age of onset, recurrence, anxiety comorbidity, clinical severity
MeSH terms
Adult, Major Depressive Disorder, Diseases in Twins, Family Health, Female, Humans, Male, Sweden, Genetic Predisposition to Disease

About these checks

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

Statistics and arithmetic are recomputed, not judged.

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

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

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