Evidence map›Paper›PMID 19733400›Full record

ArticleJournal of affective disorders2010

Is subclinical anxiety an endophenotype for bipolar I patients? A study from a Costa Rican sample.

Javier Contreras, Elizabeth Hare, Adriana Pacheco, Michael Escamilla, Henriette Raventos

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Shared genetic factors influence risk for bipolar disorder and alcohol use disorders.European psychiatry : the journal of the Association of European Psychiatrists · 2014
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Javier ContrerasDepartment of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA. contrerasroj@uthscsa.edu
Elizabeth Hare
Adriana Pacheco
Michael Escamilla
Henriette Raventos
The University of Texas Health Science Center at San Antonio · USUniversidad de Costa Rica · CR

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
Genetics of Bipolar Disorder in Latino PopulationsR01MH069856 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ESCAMILLA, MICHAEL A · 2005 to 2009
$6.5M
US/Costa Rica Psychiatric Genetic Research TrainingD43TW006152 · FIC · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ESCAMILLA, MICHAEL A · 2002 to 2006
$2.0M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
FIC NIH HHS D43 TW006152FIC NIH HHS TW006152NIMH NIH HHS 1 R01 MH069856-01A2NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH069856NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

backgroundAlthough genetic influences on bipolar I disorder are well established, localization of genes that predispose to the illness has been difficult. Some genes predisposing to bipolar I disorder may be transmitted without expression of the categorical clinical phenotype. One strategy to overcome this obstacle is the use of quantitative endophenotypes, as has been done for other medical disorders.

methodsWe analyzed 30 bipolar I extended families (300 subjects, average family size 10.34 members, range: 2-31) and 20 unrelated healthy controls from a Costa Rican sample. Heritability and genetic correlation of the state and trait scale from the Anxiety State and Trait Inventory was computed by using the general linear model (SOLAR package software). We also assessed variation of both scores among groups (patients, relatives and controls) and tested independence of affection status.

resultsHeritability for state is 0.45 (SE=0.11, p=0.0000001) and for trait is 0.89 (SE=0.06, p=6.22e-29). Genetic correlation for state and trait is 0.29, (SE=0.12, p=0.038-3.19e-8). Bipolar I patients showed the highest trait score (F=12.17 [5,24], p=0.002), (bipolar I patients>relatives with other pathologies, >healthy relatives>unrelated healthy controls) with normal distribution in healthy individuals and no difference regarding depression and mania current status, (F=0.230, df=1, p=0.632 and F=1.401, df=1, p=0.238, respectively), contrary to the state score. LIMITATIONS: Confounding factors such as comorbid disorders could affect the interaction of subclinical anxiety with mania. Due to our limited budget we were not able to re-evaluate the subjects and conduct a test retest to assess the STAI reliability and mood state independence of anxiety traits over different times. Further research is needed to evaluate if anxiety traits are specially related to bipolar I disorder in comparison with other traits such as anger, attention or response inhibition deficit, pathological impulsivity or low self-directedness.

conclusionsAnxiety state and trait are heritable and share some genetic factors but only trait showed normal distribution in healthy subjects, mood current status independence and significant liability for bipolar I disorder. A stair-step distribution of trait anxiety scores in the family members and controls based on their genetic proximity to affected individuals and diagnostic status suggests that trait anxiety could be an endophenotype in these bipolar I families.

Indexed as

AffectAdultAge FactorsAnxietyBipolar DisorderCosta RicaFamilyFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPatientsPedigreePersonality AssessmentPhenotype

Identifiers

PMID19733400
PMCPMC3762570
OpenAlexW2004155097

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.