The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Genetic risk profiles for depression and anxiety in adult and elderly cohorts
Open accessAbstract
The first generation of genome-wide association studies (GWA studies) for psychiatric disorders has led to new insights regarding the genetic architecture of these disorders. We now start to realize that a larger number of genes, each with a small contribution, are likely to explain the heritability of psychiatric diseases. The contribution of a large number of genes to complex traits can be analyzed with genome-wide profiling. In a discovery sample, a genetic risk profile for depression was defined based on a GWA study of 1738 adult cases and 1802 controls. The genetic risk scores were tested in two population-based samples of elderly participants. The genetic risk profiles were evaluated for depression and anxiety in the Rotterdam Study cohort and the Erasmus Rucphen Family (ERF) study. The genetic risk scores were significantly associated with different measures of depression and explained up to ∼0.7% of the variance in depression in Rotterdam Study and up to ∼1% in ERF study. The genetic score for depression was also significantly associated with anxiety explaining up to 2.1% in Rotterdam study. These findings suggest the presence of many genetic loci of small effect that influence both depression and anxiety. Remarkably, the predictive value of these profiles was as large in the sample of elderly participants as in the middle-aged samples.
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Cites
The validity of the Hospital Anxiety and Depression Scale
Bjelland, I., Dahl, A. A., Haug, T. T., & Neckelmann, D. (2002) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(01)00296-3 · Cited by 9,779
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821
Genetic Epidemiology of Major Depression: Review and Meta-Analysis
Sullivan, P. F., Neale, M. C., & Kendler, K. S. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.10.1552 · Cited by 3,431
Self-citationTargeted capture and massively parallel sequencing of 12 human exomes
Ng, S. B., Turner, E. H., Robertson, P. D., Flygare, S. D., Bigham, A. W., Lee, C., Shaffer, T., Wong, M., Bhattacharjee, A., Eichler, E. E., et al. (2009) · Nature · doi:10.1038/nature08250 · Cited by 2,030
Kendler, K. S., Prescott, C. A., Myers, J., & Neale, M. C. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.9.929 · Cited by 1,868
GenABEL: an R library for genome-wide association analysis
Aulchenko, Y. S., Ripke, S., Isaacs, A., & van Duijn, C. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm108 · Cited by 1,836 · cited 1×
“As the ERF study included related individuals, GWA analyses were performed using a mixed model by ‘mmscore’ option in GenABEL software”
MethodSelf-citationThe genetics of depression: A review
Levinson, D. F. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.08.024 · Cited by 855
A 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
MIDDELDORP, C. M., CATH, D. C., VAN DYCK, R., & BOOMSMA, D. I. (2005) · Psychological Medicine · doi:10.1017/s003329170400412x · Cited by 316
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Cited by
The Genetics of Major Depression
Flint, J., & Kendler, K. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.027 · Cited by 724
Research Review: Polygenic methods and their application to psychiatric traits
Wray, N. R., Lee, S. H., Mehta, D., Vinkhuyzen, A. A. E., Dudbridge, F., & Middeldorp, C. M. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12295 · Cited by 666
Self-citationCommon polygenic variation enhances risk prediction for Alzheimer’s disease
Escott-Price, V., Sims, R., Bannister, C., Harold, D., Vronskaya, M., Majounie, E., Badarinarayan, N., GERAD/PERADES, consortia, I., Morgan, K., et al. (2015) · Brain · doi:10.1093/brain/awv268 · Cited by 414
A Better Coefficient of Determination for Genetic Profile Analysis
Lee, S. H., Goddard, M. E., Wray, N. R., & Visscher, P. M. (2012) · Genetic Epidemiology · doi:10.1002/gepi.21614 · Cited by 349
Self-citationEffect of polygenic risk scores on depression in childhood trauma
Peyrot, W. J., Milaneschi, Y., Abdellaoui, A., Sullivan, P. F., Hottenga, J. J., Boomsma, D. I., & Penninx, B. W. J. H. (2014) · British Journal of Psychiatry · doi:10.1192/bjp.bp.113.143081 · Cited by 209
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Metadata
- Authors
- Demirkan, A., Penninx, B. W. J. H., Hek, K., Wray, N. R., Amin, N., Aulchenko, Y. S., van Dyck, R., de Geus, E. J. C., Hofman, A., Uitterlinden, A. G., Hottenga, J.-J., Nolen, W. A., Oostra, B. A., Sullivan, P. F., Willemsen, G., Zitman, F. G., Tiemeier, H., Janssens, A. C. J. W., Boomsma, D. I., van Duijn, C. M., & Middeldorp, C. M.
- Venue
- Molecular Psychiatry
- Published
- 2010-06-22
- Volume
- 16
- Issue
- 7
- Pages
- 773-783
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W2170197613
- Cited by
- 165
- References
- 14
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Demirkan, A., Penninx, B. W. J. H., Hek, K., Wray, N. R., Amin, N., Aulchenko, Y. S., van Dyck, R., de Geus, E. J. C., Hofman, A., Uitterlinden, A. G., Hottenga, J.-J., Nolen, W. A., Oostra, B. A., Sullivan, P. F., Willemsen, G., Zitman, F. G., Tiemeier, H., Janssens, A. C. J. W., Boomsma, D. I., . . . Middeldorp, C. M. (2011). Genetic risk profiles for depression and anxiety in adult and elderly cohorts. Molecular Psychiatry. https://doi.org/10.1038/mp.2010.65
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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.
