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Rethinking Mental Illness
Abstract
IN THE FIRST 2010 ISSUE OF NATURE, THE EDITOR, PHILIP Campbell, suggested that the next 10-year period is likely to be the “decade for psychiatric disorders.” This was not a prediction of an epidemic, although mental illnesses are highly prevalent, nor a suggestion that new illnesses would emerge. The key point was that research on mental illness was, at long last, reaching an inflection point at which insights gained from genetics and neuroscience would transform the understanding of psychiatric illnesses. The insights are indeed coming fast and furious. In this Commentary, we suggest ways in which genomics and neuroscience can help reconceptualize disorders of the mind as disorders of the brain and thereby transform the practice of psychiatry. Compelling reasons to look for genes that confer risk for mental illness come from twin studies demonstrating high heritability for autism, schizophrenia, and bipolar disorder. Although there have been notable findings from linkage and genome-wide association studies, with candidate genes and specific alleles identified for each of the major mental disorders, those that have been replicated explain only a fraction of the heritability. Where is the missing genetic signal for mental illness? The discovery that large ( 1 megabase) structural or copy number variants, such as deletions and duplications, are 10fold more common in autism and schizophrenia is an important clue. Copy number variants are individually rare, sometimes restricted to a single family or developing de novo in an individual. Although “private mutations” are rare (reminiscent of Tolstoy’s dictum that “each unhappy family is unhappy in its own way”), they are in aggregate remarkably common, spread across vast expanses of the genome, and ultimately could explain more genetic risk than common variants. Although many of the genes implicated are involved in brain development, copy number variants do not appear to be specific for illnesses in the current diagnostic scheme. Within families, the same copy number variant may be associated with schizophrenia in one person, bipolar disorder in another, and attention-deficit/hyperactivity disorder in yet another. The genetics of mental illness may really be the genetics of brain development, with different outcomes possible, depending on the biological and environmental context. The same twin studies that point to high heritability also demonstrate the limits of genetics: environmental factors must be important for mental disorders. The advent of epigenomics, which can detect the molecular effects of experience, may provide a powerful approach for understanding the critical effects of early-life events and environment on adult patterns of behavior. Epigenomics can now map changes across the entire genome with unbiased, highthroughput technologies and point to the mechanisms by which experience confers enduring changes in gene expression and, ultimately, changes in brain activity and function. Epigenomic modifications that alter transcription may also be a mechanism for mental illness, even in the absence of common or rare structural variants. For instance, a rare copy number variant detected in autism deletes the oxytocin receptor gene. In many individuals with autism who do not have this deletion, epigenomic modifications appear to silence this gene. Genomics and epigenomics already point to diverse molecular pathways that confer risk of mental illness. What binds these diverse molecular mechanisms together to yield clusters of symptoms recognized as the syndromes of psychiatric disorders? Increasingly, clinical neuroscientists are identifying specific circuits for major aspects of illness. But just as the genetic variants do not map selectively onto current diagnostic categories, so, also, circuits seem to be associated with cognitive and behavioral functions, without a oneto-one correspondence to diagnosis. For instance, the neural basis of extinction learning, which was first mapped in the rat brain, appears to be conserved in the human brain, with key nodes including ventromedial prefrontal cortex, amygdala, and hippocampus. Rather than defining the biology of a single illness, extinction is an important feature of posttraumatic stress disorder, obsessive-compulsive disorder, and various phobias. Two noteworthy points are emerging from systems neuroscience. First, there seem to be emerging relationships between genetic variation and development of neural circuits that mediate complex cognition and behavior, from reward to emotion regulation. Second, the current diagnos-
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“Similarly, scientists in other parts of the world are calling for research into “novel interventions that may be based on altering plasticity or returning circuitry rather than neurotransmitter pharmacology” [313].”
Citations
Cites
Strong association of de novo copy number mutations with autism
Sebat, J., Lakshmi, B., Malhotra, D., Troge, J., Lese-Martin, C., Walsh, T., Yamrom, B., Yoon, S., Krasnitz, A., Kendall, J., et al. (2007) · Science · doi:10.1126/science.1138659 · Cited by 2,795
Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia
Walsh, T., McClellan, J. M., McCarthy, S. E., Addington, A. M., Pierce, S. B., Cooper, G. M., Nord, A. S., Kusenda, M., Malhotra, D., Bhandari, A., et al. (2008) · Science · doi:10.1126/science.1155174 · Cited by 1,800
Preventing the return of fear in humans using reconsolidation update mechanisms
Schiller, D., Monfils, M.-H., Raio, C. M., Johnson, D. C., LeDoux, J. E., & Phelps, E. A. (2010) · Nature · doi:10.1038/nature08637 · Cited by 1,248
Correction of Fragile X Syndrome in Mice
Dölen, G., Osterweil, E., Rao, B. S. S., Smith, G. B., Auerbach, B. D., Chattarji, S., & Bear, M. F. (2007) · Neuron · doi:10.1016/j.neuron.2007.12.001 · Cited by 979
Neural circuitry underlying the regulation of conditioned fear and its relation to extinction
Delgado, M. R., Nearing, K. I., LeDoux, J. E., & Phelps, E. A. (2008) · Neuron · doi:10.1016/j.neuron.2008.06.029 · Cited by 716
A Genetic Variant BDNF Polymorphism Alters Extinction Learning in Both Mouse and Human
Soliman, F., Glatt, C. E., Bath, K. G., Levita, L., Jones, R. M., Pattwell, S. S., Jing, D., Tottenham, N., Amso, D., Somerville, L. H., et al. (2010) · Science · doi:10.1126/science.1181886 · Cited by 585
Genomic and epigenetic evidence for oxytocin receptor deficiency in autism
Gregory, S. G., Connelly, J. J., Towers, A. J., Johnson, J., Biscocho, D., Markunas, C. A., Lintas, C., Abramson, R. K., Wright, H. H., Ellis, P., et al. (2009) · BMC Medicine · doi:10.1186/1741-7015-7-62 · Cited by 576
Endophenotypes: Bridging Genomic Complexity and Disorder Heterogeneity
Insel, T. R., & Cuthbert, B. N. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.10.008 · Cited by 273
Self-citationDisruptive insights in psychiatry: transforming a clinical discipline
Insel, T. R. (2009) · Journal of Clinical Investigation · doi:10.1172/jci38832 · Cited by 172
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Analysis of shared heritability in common disorders of the brain
The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science · doi:10.1126/science.aap8757 · Cited by 1,924
Montague, P. R., Dolan, R. J., Friston, K. J., & Dayan, P. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.018 · Cited by 809
Fetal Origins of Mental Health: The Developmental Origins of Health and Disease Hypothesis
O’Donnell, K. J., & Meaney, M. J. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16020138 · Cited by 608
Mellins, C. A., & Malee, K. (2013) · Journal of the International AIDS Society · doi:10.7448/ias.16.1.18593 · Cited by 369
Mental Health and Well-Being of University Students: A Bibliometric Mapping of the Literature
Hernández, D., Ibrayeva, L., Sparks, J., Lim, N., Clementi, A., Almukhambetova, A., Nurtayev, Y., & Muratkyzy, A. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01226 · Cited by 361
Metadata
- Authors
- Insel, T. R.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Insel, Thomas R.
- ORCID
- Insel, Thomas R.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2010-05-19
- Volume
- 303
- Issue
- 19
- Pages
- 1970
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2063437472
- Cited by
- 224
- References
- 9
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 17 · 2023: 9 · 2022: 5 · 2021: 11 · 2020: 10 · 2019: 11 · 2018: 25 · 2017: 14 · 2016: 14 · 2015: 19 · 2014: 20 · 2013: 20 · 2012: 20
- FWCI
- 9.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Keywords
- mental illness, psychiatric genetics, copy number variation, brain development, epigenomics, autism spectrum disorder, schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, heritability, de novo mutations, gene-environment interaction, psychiatric diagnosis, neuroimaging, early life experience
- MeSH terms
- Mental Disorders, Brain, Humans, Neurosciences, Twin Studies as Topic, Genetic Predisposition to Disease, Epigenesis, Genetic
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