Literature DB >> 12361664

Future of genetics of mood disorders research.

Kathleen R Merikangas1, Aravinda Chakravarti, Steven O Moldin, Houmam Araj, John C Blangero, Margit Burmeister, John Crabbe, J Raymond Depaulo, Edward Foulks, Nelson B Freimer, Doreen S Koretz, William Lichtenstein, Emmanuel Mignot, Allan L Reiss, Neil J Risch, Joseph S Takahashi.   

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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Year:  2002        PMID: 12361664     DOI: 10.1016/s0006-3223(02)01471-3

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  36 in total

1.  High Behavioral Approach System (BAS) sensitivity, reward responsiveness, and goal-striving predict first onset of bipolar spectrum disorders: a prospective behavioral high-risk design.

Authors:  Lauren B Alloy; Rachel E Bender; Wayne G Whitehouse; Clara A Wagner; Richard T Liu; David A Grant; Shari Jager-Hyman; Ashleigh Molz; James Y Choi; Eddie Harmon-Jones; Lyn Y Abramson
Journal:  J Abnorm Psychol       Date:  2011-10-17

Review 2.  Neurocognitive function as an endophenotype for genetic studies of bipolar affective disorder.

Authors:  Jonathan B Savitz; Mark Solms; Rajkumar S Ramesar
Journal:  Neuromolecular Med       Date:  2005       Impact factor: 3.843

Review 3.  Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

Authors:  David C Glahn; Paul M Thompson; John Blangero
Journal:  Hum Brain Mapp       Date:  2007-06       Impact factor: 5.038

4.  Risk for depression during interferon-alpha treatment is affected by the serotonin transporter polymorphism.

Authors:  Francis E Lotrich; Robert E Ferrell; Mordechai Rabinovitz; Bruce G Pollock
Journal:  Biol Psychiatry       Date:  2008-09-18       Impact factor: 13.382

5.  Preferences regarding targeted education and risk assessment in people with a family history of major depressive disorder.

Authors:  Veronica Quinn; Bettina Meiser; Alex Wilde; Zoe Cousins; Kristine Barlow-Stewart; Philip B Mitchell; Peter R Schofield
Journal:  J Genet Couns       Date:  2014-01-10       Impact factor: 2.537

6.  Psychoradiologic abnormalities of white matter in patients with bipolar disorder: diffusion tensor imaging studies using tract-based spatial statistics

Authors:  Cheng Yang; Lei Li; Xinyu Hu; Qiang Luo; Weihong Kuang; Su Lui; Xiaoqi Huang; Jing Dai; Manxi He; Graham J. Kemp; John A Sweeney; Qiyong Gong
Journal:  J Psychiatry Neurosci       Date:  2019-01-01       Impact factor: 6.186

7.  Progression along the bipolar spectrum: a longitudinal study of predictors of conversion from bipolar spectrum conditions to bipolar I and II disorders.

Authors:  Lauren B Alloy; Snežana Urošević; Lyn Y Abramson; Shari Jager-Hyman; Robin Nusslock; Wayne G Whitehouse; Michael Hogan
Journal:  J Abnorm Psychol       Date:  2011-06-13

Review 8.  Elevated immune-inflammatory signaling in mood disorders: a new therapeutic target?

Authors:  Robert K McNamara; Francis E Lotrich
Journal:  Expert Rev Neurother       Date:  2012-09       Impact factor: 4.618

9.  Animal models of virus-induced neurobehavioral sequelae: recent advances, methodological issues, and future prospects.

Authors:  Marco Bortolato; Sean C Godar
Journal:  Interdiscip Perspect Infect Dis       Date:  2010-05-18

10.  Membrane omega-3 Fatty Acid deficiency as a preventable risk factor for comorbid coronary heart disease in major depressive disorder.

Authors:  Robert K McNamara
Journal:  Cardiovasc Psychiatry Neurol       Date:  2009-09-16
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