The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Using summary data from the Danish National Registers to estimate heritabilities for schizophrenia, bipolar disorder, and major depressive disorder
Open accessAbstract
Estimates of heritability of psychiatric disorders quantify the genetic contribution to their etiology. Estimation of these parameters requires affected status on probands and their family members. Traditionally, heritabilities have been estimated from families ascertained from specific hospital registers, but accumulating sufficient numbers of families can be difficult. Larger sample sizes are achievable from national registries, but calculation of heritability from individual level data from these data sets is accompanied by other problems. Here, we use published summary data from a national population-based cohort of >2.6 million persons in Denmark to estimate heritabilities of schizophrenia, bipolar disorder, and major depressive disorder (MDD). The summary data comprised cumulative incidences up to 52 years of age for schizophrenia and bipolar disorder and up to 51 years for MDD in offspring where either one or both parents were diagnosed with one of these disorders. Estimates of the heritabilities of the liability to developing schizophrenia, bipolar disorder, and MDD are 0.67 (95% confidence interval (CI) 0.64-0.71), 0.62 (95% CI 0.58-0.65), and 0.32 (95% CI 0.30-0.34) respectively. The estimates may be inflated by common environmental effects, but despite this, they are somewhat lower for schizophrenia and bipolar disorder than those estimated from contemporary twin samples. The lower estimates may reflect the diverse environments (including diagnostic interpretation) that contribute to national data, compared to twin/family studies. Our estimates are similar to those estimated previously from national data of Sweden, and they may be more representative of the international samples brought together for large-scale genome-wide association studies. We investigated the estimation of genetic correlations from these data. We used simulation to conclude that estimates may not be interpretable and so report them only in the Section "Appendix."
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Citations
Cites
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
Schizophrenia as a Complex Trait: Evidence From a Meta-analysis of Twin Studies
Sullivan, P. F., Kendler, K. S., & Neale, M. C. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.12.1187 · Cited by 2,356
Heritability in the genomics era — concepts and misconceptions
Visscher, P. M., Hill, W. G., & Wray, N. R. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2322 · Cited by 1,921 · cited 1×
“Estimates of heritabilities and genetic correlations of liability, although quite simple in theory (Visscher et al., 2008), depend on estimates of lifetime probabilities of disease in relatives of affected individuals and from the total population from which they are drawn.”
BackgroundSelf-citationPersonal genomes: The case of the missing heritability
Maher, B. (2008) · Nature · doi:10.1038/456018a · Cited by 1,737
The Heritability of Bipolar Affective Disorder and the Genetic Relationship to Unipolar Depression
McGuffin, P., Rijsdijk, F., Andrew, M., Sham, P., Katz, R., & Cardno, A. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.5.497 · Cited by 1,243
A mega-analysis of genome-wide association studies for major depressive disorder
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S., Wray, N. R., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Byrne, E. M., Blackwood, D. H. R., Boomsma, D. I., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.21 · Cited by 1,120
Self-citationEstimating Missing Heritability for Disease from Genome-wide Association Studies
Lee, S. H., Wray, N. R., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.02.002 · Cited by 1,064
Self-citationA polygenic theory of schizophrenia.
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Genes for Schizophrenia and Bipolar Disorder? Implications for Psychiatric Nosology
Craddock, N. (2005) · Schizophrenia Bulletin · doi:10.1093/schbul/sbj033 · Cited by 496
Cited by
Genome-wide association analysis identifies 13 new risk loci for schizophrenia
Multicenter Genetic Studies of Schizophrenia Consortium, Ripke, S., Psychosis Endophenotypes International Consortium, Wellcome Trust Case Control Consortium 2, O'Dushlaine, C., Chambert, K., Moran, J. L., Kähler, A. K., Akterin, S., Bergen, S. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2742 · Cited by 1,496
Self-citationPsychiatric Genomics: An Update and an Agenda
Sullivan, P. F., Agrawal, A., Bulik, C. M., Andreassen, O. A., Børglum, A. D., Breen, G., Cichon, S., Edenberg, H. J., Faraone, S. V., Gelernter, J., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17030283 · Cited by 676
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-citationAkbarian, S., Liu, C., Knowles, J. A., Vaccarino, F. M., Farnham, P. J., Crawford, G. E., Jaffe, A. E., Pinto, D., Dracheva, S., Geschwind, D. H., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4156 · Cited by 451
Large-scale genomics unveils the genetic architecture of psychiatric disorders
Gratten, J., Wray, N. R., Keller, M. C., & Visscher, P. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3708 · Cited by 363
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Metadata
- Authors
- Wray, N.
- Venue
- Frontiers in Genetics
- Publisher
- Frontiers Media SA
- Published
- 2012
- Volume
- 3
- Pages
- 118-118
- ISSN
- 1664-8021 (ISSN-L)
- OpenAlex
- W2057048062
- Cited by
- 204
- References
- 14
- FWCI
- 9.57
- Type
- journal article
- Language
- en
- Open access
- gold
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