CoChat
Sign Up
Cited by 224Genetic Associations and EpidemiologyGenomic variations and chromosomal abnormalitiesSchizophrenia research and treatment

Rethinking Mental Illness

Insel, Thomas R.·2010·JAMA
DOI 10.1001/jama.2010.555
Open this paper in CoChat — free account

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-

Integrity signals

Registry

Crossref · 10.1001/jama.2010.555

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

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
DOI
10.1001/jama.2010.555
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

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