Evidence map›Paper›PMID 22842674›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2013

Association and CpG SNP analysis of HTR4 polymorphisms with suicidal behavior in subjects with schizophrenia.

Gina Polsinelli, Clement C Zai, John Strauss, James L Kennedy, Vincenzo De Luca

Abstract read
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In one paragraph

Article in Journal of neural transmission (Vienna, Austria : 1996), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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 1 country.

Gina PolsinelliNeurogenetics Section, Centre for Addiction and Mental Health-CAMH, Toronto, Canada.
Clement C Zai
John Strauss
James L Kennedy
Vincenzo De Luca
Centre for Addiction and Mental Health · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide is a major contributor to the morbidity and mortality rates in schizophrenia. Genetic and epigenetic factors have been reported to modulate the risk for suicide although the precise mechanism and magnitude of these contributions is unknown. Previous research indicates that suicide attempters present abnormalities in the serotonergic system. The present study aimed to identify genetic and epigenetic risk variants of the serotonin 5-HT₄ receptor gene (HTR4) for suicidal behavior. We included 234 subjects diagnosed with schizophrenia. For this purpose, we analyzed 11 markers across HTR4 and performed genotype, haplotype and potential methylation analyses, correcting for clinical covariates and ethnic stratification. Three blocks were revealed from the LD analysis. Haplotypes in Block 3 were significantly associated with suicide attempt. The potential methylation analysis was not significant. Our results suggest that HTR4 polymorphisms may not play a major role in the susceptibility for suicidal behavior in subjects with schizophrenia. Moreover, although not significant, the CpG SNP potential methylation analysis would be informative for future methylation analysis on this gene.

Indexed as

Polymorphism, Single NucleotideAdultCpG IslandsFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHaplotypesHumansMaleMiddle AgedReceptors, Serotonin, 5-HT4SchizophreniaSchizophrenic PsychologySuicideSuicide, AttemptedReceptors, Serotonin, 5-HT4

Identifiers

PMID22842674
OpenAlexW1968766928

What OpenQuestion holds

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Read underepoch 390

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.