Evidence map›Paper›PMID 25395981›Full record

ArticlePsychiatry investigation2014

Abelson helper integration site-1 gene variants on major depressive disorder and bipolar disorder.

Stefano Porcelli, Chi-Un Pae, Changsu Han, Soo-Jung Lee, Ashwin A Patkar, Prakash S Masand, Beatrice Balzarro, Siegfried Alberti, Diana De Ronchi, Alessandro Serretti

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

10 authors at 4 institutions in 3 countries.

Stefano PorcelliInstitute of Psychiatry, Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Chi-Un PaeDepartment of Psychiatry, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea. ; Department of Psychiatry and Behavioural Sciences, Duke University Medical Center, Durham, NC, USA.
Changsu HanDepartment of Psychiatry, Korea University, College of Medicine, Seoul, Republic of Korea.
Soo-Jung LeeDepartment of Psychiatry, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea.
Ashwin A PatkarDepartment of Psychiatry and Behavioural Sciences, Duke University Medical Center, Durham, NC, USA.
Prakash S MasandGlobal Medical Education, New York, NY, USA.
Beatrice BalzarroInstitute of Psychiatry, Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Siegfried AlbertiInstitute of Psychiatry, Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Diana De RonchiInstitute of Psychiatry, Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
Alessandro SerrettiInstitute of Psychiatry, Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
University of Bologna · ITDuke University · USCatholic University of Korea · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present study aimed to explore whether 4 single nucleotide polymorphisms (SNPs) within the AHI1 gene could be associated with major depressive disorder (MD) and bipolar disorder (BD), and whether they could predict clinical outcomes in mood disorders.

methodsOne hundred and eighty-four (184) patients with MD, 170 patients with BD and 170 healthy controls were genotyped for 4 AHI1 SNPs (rs11154801, rs7750586, rs9647635 and rs9321501). Baseline and final clinical measures for MD patients were assessed through the Hamilton Rating Scale for Depression (HAM-D). Allelic and genotypic frequencies in MD and BD subjects were compared with those of each disorder and healthy group using the χ(2) statistics. Repeated measures ANOVA was used to test possible influences of SNPs on treatment efficacy.

resultsThe rs9647635 A/A was more represented in subjects with BD as compared with MD and healthy subjects together. The rs9647635 A/A was also more presented in patients with MD than in healthy subjects. With regard to the allelic analysis, rs9647635 A allele was more represented in subjects with BD compared with healthy subjects, while it was not observed between patients with MD and healthy subjects.

conclusionOur findings provide potential evidence of an association between some variants of AHI1 and mood disorders susceptibility but not with clinical outcomes. However, we will need to do more adequately-powered and advanced association studies to draw any conclusion due to clear limitations.

Indexed as

AHI1Association studyBipolar disorderDepressionMood disorderSusceptibility

Identifiers

PMID25395981
PMCPMC4225214
OpenAlexW2159052117

What OpenQuestion holds

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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.