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Cited by 128Genetic Associations and EpidemiologyBipolar Disorder and TreatmentTreatment of Major Depression

The DOI matches its Crossref record; 139 of the 149 references it cites were found in a registry or an index.

Future of genetics of mood disorders research

Merikangas, Kathleen R, Chakravarti, Aravinda, Moldin, Steven O, Araj, Houmam, Blangero, John, Burmeister, Margit, Crabbe, John C, Depaulo, J.Raymond, Foulks, Edward, Freimer, Nelson B, Koretz, Doreen S, Lichtenstein, William, Mignot, Emmanuel, Reiss, Allan L, Risch, Neil J, S. Takahashi, Joseph·2002·Biological Psychiatry
DOI 10.1016/s0006-3223(02)01471-3
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Abstract

This report summarizes the deliberations of a panel with representation from diverse disciplines of relevance to the genetics of mood disorders. The major charge to the panel was to develop a strategic plan to employ the tools of genetics to advance the understanding, treatment, and outcomes for mood disorders. A comprehensive review of the evidence for the role of genetic factors in the etiology of mood disorders was conducted, and the chief impediments for progress in gene identification were identified. The National Institute of Mental Health (NIMH) portfolios in the Genetics Research Branch and the Division of Mental Disorders, Behavioral Sciences, AIDS, and all genetics training activities were reviewed. Despite some promising leads, there are still no confirmed linkage findings for mood disorders. Impediments to gene finding include the lack of phenotypic validity, variation in ascertainment sources and methodology across studies, and genetic complexity. With respect to linkage, the committee recommended that a large-scale, integrated effort be undertaken to examine existing data from linkage and association studies of bipolar disorders using identical phenotypes and statistical methods across studies to determine whether the suggestive linkage findings at some loci can be confirmed. Confirmation would justify more intensive approaches to gene finding. The committee recommended that the NIMH support continued efforts to identify the most heritable subtypes and endophenotypes of major depression using the tools of genetic epidemiology, neuroscience, and behavioral science. The field of genetic epidemiology was identified as an important future direction because population-based, epidemiologic studies of families and unrelated affected individuals assume increasing importance for common chronic diseases. To prepare for shifts to more complex genetic models, the committee recommended that the NIMH develop new interdisciplinary training strategies to prepare for the next generation of genetics research.

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Research works printed but not linked: 8

  1. Desan, 2000, Genetic polymorphism at the CLOCK gene locus and major depression, Am J Med Genet, 96, 418, 10.1002/1096-8628(20000612)96:3<418::AID-AJMG34>3.0.CO;2-S · DOI · Paper page
  2. Edenberg, 1997, Initial genomic scan of the NIMH Genetics Initiative Bipolar Pedigrees, Am J Med Genet, 74, 238, 10.1002/(SICI)1096-8628(19970531)74:3<238::AID-AJMG2>3.0.CO;2-M · DOI
  3. Gottesman II and Shields J (1972): Schizophrenia and genetics: A twin study vantage point. New York: Academic Press.
  4. Merikangas, 2001, Genetic epidemiology, Acta Psychiatrica Scand, 104, 1
  5. Moldin, 1997, Detection and replication of linkage to a complex human disease, Genet Epidemiol Suppl, 14, 1023, 10.1002/(SICI)1098-2272(1997)14:6<1023::AID-GEPI77>3.0.CO;2-K · DOI
  6. Morissette, 1999, Genome-wide search for linkage of bipolar affective disorders in a very large pedigree derived from a homogeneous population in Quebec points to a locus of major effect on chromosome 12q23-q24, Am J Med Genet, 88, 567, 10.1002/(SICI)1096-8628(19991015)88:5<567::AID-AJMG24>3.0.CO;2-8 · DOI
  7. Rice, 1997, Genetic analysis of bipolar disorder, Genet Epidemiol, 14, 549, 10.1002/(SICI)1098-2272(1997)14:6<549::AID-GEPI1>3.0.CO;2-V · DOI
  8. Stine, 1997, Initial genome scan for bipolar in the NIMH Genetics Initiative Pedigrees, Am J Med Genet, 74, 263, 10.1002/(SICI)1096-8628(19970531)74:3<263::AID-AJMG5>3.0.CO;2-R · DOI

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Metadata

Authors
Merikangas, K. R., Chakravarti, A., Moldin, S. O., Araj, H., Blangero, J., Burmeister, M., Crabbe, J. C., Depaulo, J. R., Foulks, E., Freimer, N. B., Koretz, D. S., Lichtenstein, W., Mignot, E., Reiss, A. L., Risch, N. J., & S. Takahashi, J.
Affiliations
  • National Institutes of Health (US)
  • Johns Hopkins University (US)
  • Texas Biomedical Research Institute (US)
  • University of Michigan (US)
  • Tulane University (US)
  • University of California, Los Angeles (US)
  • Stanford University (US)
  • Northwestern University (US)
ORCID
Venue
Biological Psychiatry
Publisher
Elsevier BV
Published
2002-09
Volume
52
Issue
6
Pages
457-477
ISSN
0006-3223 (ISSN-L)
DOI
10.1016/s0006-3223(02)01471-3
OpenAlex
W2057591165
Cited by
128
References
149
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2022: 1 · 2019: 1 · 2018: 1 · 2017: 3 · 2016: 5 · 2015: 1 · 2014: 5 · 2013: 6 · 2012: 7
FWCI
6.89
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Biological Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
  • Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
Keywords
mood disorders, bipolar disorder, major depressive disorder, genetic epidemiology, gene identification, genetic linkage, association studies, endophenotypes, heritability, genetic complexity, research strategies
MeSH terms
Humans, Genetic Linkage, Models, Genetic, National Institute of Mental Health (U.S.), Phenotype, Research, United States, Guidelines as Topic, Mood Disorders

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