The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Neuroticism, major depression and gender: a population-based twin study
Abstract
Background. A portion of the genetic risk factors for the personality trait neuroticism (N) may also increase risk for major depression (MD). Females have both higher levels of N and higher rates of MD than males, suggesting that these traits may be more genetically correlated in females. Methods. Structured interviews, including a lifetime assessment for MD by DSM-III-R criteria, were administered to 863 male–male MZ (monozygotic), 649 male–male DZ (dizygotic), 506 female–female MZ, 345 female–female DZ, and 1408 opposite-sex twin pairs. N was assessed using the short-form of the Eysenck Personality Questionnaire. A sex-limited Cholesky model was fitted which allowed us to decompose into additive genetic, common environmental, and individual-specific environmental components two main classes of correlations: within-sex between-variable and between-sex within-variable. Results. Our best-fitting model contained only additive genetic and individual-specific environmental factors for both N and MD. The within-sex genetic correlations between N and MD were estimated at +0·68 in men and +0·49 in women. This model fitted only slightly better than one in which the N–MD within-sex genetic correlation was constrained to be equal across the sexes, and estimated at +0·55. There may be sex-specific genes influencing both N and MD. Conclusion. Our best-fitting model failed to establish a significant sex difference in the genetic correlation between N and MD. These results, as well as evidence for sex-specific genetic factors for both traits, have implications for the diagnosis, classification, and treatment of the affective disorders, and molecular genetic approaches to the study of these traits.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kessler, R. C. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950010008002 · Cited by 12,370
Akaike, H. (1987) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_29 · Cited by 4,027
Methodology for Genetic Studies of Twins and Families
Neale, M. C., & Cardon, L. R. (1992) · doi:10.1007/978-94-015-8018-2 · Cited by 4,005
Cross-national epidemiology of major depression and bipolar disorder
Weissman, M. M. (1996) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1996.03540040037030 · Cited by 2,302
A Population-Based Twin Study of Lifetime Major Depression in Men and Women
Kendler, K. S., & Prescott, C. A. (1999) · Archives of General Psychiatry · doi:10.1001/archpsyc.56.1.39 · Cited by 512
Self-citation
Cited by
Public health significance of neuroticism
Lahey, B. B. (2009) · American Psychologist · doi:10.1037/a0015309 · Cited by 1,901
“Moreoever, there is replicated evidence from longitudinal studies that persons with high neuroticism scores are more likely than other persons to develop anxiety and depression following negative life events (Fanous et al., 2002; Hutchinson & Williams, 2007; Jacobs et al., 2006; Kendler et al., 2004; Ormel & Wohlfarth…”
BackgroundDiscovering Endophenotypes for Major Depression
Hasler, G., Drevets, W. C., Manji, H. K., & Charney, D. S. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300506 · Cited by 1,123
Risk for recurrence in depression
Burcusa, S. L., & Iacono, W. G. (2007) · Clinical Psychology Review · doi:10.1016/j.cpr.2007.02.005 · Cited by 1,023
Kendler, K. S., Kuhn, J., & Prescott, C. A. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.4.631 · Cited by 799
Self-citationA Swedish National Twin Study of Lifetime Major Depression
Kendler, K. S., Gatz, M., Gardner, C. O., & Pedersen, N. L. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.1.109 · Cited by 794
Self-citation
Metadata
- Authors
- FANOUS, A., GARDNER, C. O., PRESCOTT, C. A., CANCRO, R., & KENDLER, K. S.
- Venue
- Psychological Medicine
- Publisher
- Cambridge University Press (CUP)
- Published
- 2002-05
- Volume
- 32
- Issue
- 4
- Pages
- 719-728
- ISSN
- 0033-2917 (ISSN-L)
- 1469-8978
- OpenAlex
- W2168431596
- Cited by
- 308
- References
- 5
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Neuroticism, major depression and gender: a population-based twin study. https://app.cochat.ai/papers/10.1017/s003329170200541x
- The paper
- FANOUS, A., GARDNER, C. O., PRESCOTT, C. A., CANCRO, R., & KENDLER, K. S. (2002). Neuroticism, major depression and gender: a population-based twin study. Psychological Medicine. https://doi.org/10.1017/s003329170200541x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.