Evidence map›Paper›PMID 25031104›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2015

Genetic variation in the G72 gene is associated with increased frontotemporal fiber tract integrity.

Thomas Nickl-Jockschat, Tony Stöcker, Axel Krug, Valentin Markov, Ivan I Maximov, Ruiwang Huang, Frank Schneider, Ute Habel, Simon B Eickhoff, Klaus Zerres and 5 more

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Article in European archives of psychiatry and clinical neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Classification and neurobiological concepts of mania, bipolar disorder and major depression.European archives of psychiatry and clinical neuroscience · 2015
    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

15 authors.

Thomas Nickl-JockschatDepartment of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Pauwelsstrasse-30, 52074, Aachen, Germany, tnickl-jockschat@ukaachen.de.
Tony Stöcker
Axel Krug
Valentin Markov
Ivan I Maximov
Ruiwang Huang
Frank Schneider
Ute Habel
Simon B Eickhoff
Klaus Zerres
Markus M Nöthen
Marcella Rietschel
N Jon Shah
Jens Treutlein
Tilo Kircher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G72 (syn. DAOA, D-amino acid oxidase activator) is a susceptibility gene for both schizophrenia and bipolar disorder. Diffusion tensor imaging studies hint at changes in fiber tract integrity in both disorders. We aimed to investigate whether a G72 susceptibility haplotype causes changes in fiber tract integrity in young healthy subjects. We compared fractional anisotropy in 47 subjects that were either homozygous for the M23/M24 risk haplotype (n = 20) or homozygous for M23(rs3918342)/M24(rs1421292) wild type (n = 27) using diffusion tensor imaging with 3 T. Tract-based spatial statistics, a method especially developed for diffusion data analysis, was used to delineate the major fiber tracts. We found clusters of increased FA values in homozygous risk haplotype carriers in the right periinsular region and in the right inferior parietal lobe (IPL). We did not find clusters indicating decreased FA values. The insula and the IPL have been implicated in both schizophrenia and bipolar pathophysiology. Increased FA values might reflect changes in dendritic morphology as previously described by in vitro studies. These findings further corroborate the hypothesis that a shared gene pool between schizophrenia and bipolar disorder might lead to neuroanatomic changes that confer an unspecific vulnerability for both disorders.

Indexed as

AdolescentAdultCarrier ProteinsDiffusion Tensor ImagingFemaleFrontal LobeGenotypeHumansImage Processing, Computer-AssistedIntracellular Signaling Peptides and ProteinsMaleMiddle AgedNerve FibersStatistics, NonparametricTemporal LobeWhite PeopleCarrier ProteinsDAOA protein, humanIntracellular Signaling Peptides and Proteins

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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.