Evidence map›Paper›PMID 28474173›Full record

ReviewDer Nervenarzt2017

[Genetics of bipolar disorder].

M Budde, A J Forstner, K Adorjan, S K Schaupp, M M Nöthen, T G Schulze

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Nervenarzt, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Gene expression pattern ofJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Article
  6. 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

6 authors at 3 institutions in 2 countries.

M BuddeInstitut für Psychiatrische Phänomik und Genomik (IPPG), Klinikum der Universität München, Nußbaumstraße 7, 80336, München, Deutschland.
A J ForstnerInstitut für Humangenetik, Universitätsklinikum Bonn, Bonn, Deutschland.
K AdorjanInstitut für Psychiatrische Phänomik und Genomik (IPPG), Klinikum der Universität München, Nußbaumstraße 7, 80336, München, Deutschland.
S K SchauppInstitut für Psychiatrische Phänomik und Genomik (IPPG), Klinikum der Universität München, Nußbaumstraße 7, 80336, München, Deutschland.
M M NöthenInstitut für Humangenetik, Universitätsklinikum Bonn, Bonn, Deutschland.
T G SchulzeInstitut für Psychiatrische Phänomik und Genomik (IPPG), Klinikum der Universität München, Nußbaumstraße 7, 80336, München, Deutschland. thomas.schulze@med.uni-muenchen.de.
Bezirkskrankenhaus Augsburg · DEUniversity Hospital Bonn · DEUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bipolar disorder (BD) has a multifactorial etiology. Its development is influenced by genetic as well as environmental factors. Large genome-wide association studies (GWAS), in which genetic risk allelic variants for the disorder could be replicated for the first time, marked the breakthrough in the identification of the responsible risk genes. In addition to these common genetic variants with moderate effects identified by GWAS, rare variants with a higher penetrance are expected to play a role in disease development. The results of recent studies suggest that copy number variants might contribute to BD development, although to a lesser extent than in other psychiatric disorders, such as schizophrenia or autism. Results from the initial next generation sequencing studies indicate an enrichment of rare variants in pathways and genes that were previously found to be associated with BD. In the field of pharmacogenetics, a risk gene that influences the individual variance in the response to lithium treatment was identified for the first time in a recent large international GWAS. Currently the reported risk alleles do not sufficiently explain the phenotypic variance to be used for individual prediction of disease risk, disease course or response to medication. Future genetic research will provide important insights into the biological basis of BD by the identification of additional genes associated with BD. This knowledge of genetics will help identify potential etiological subgroups as well as cross-diagnostic disease mechanisms.

Indexed as

AllelesBipolar DisorderGene-Environment InteractionGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansLithium CompoundsPharmacogeneticsLithium CompoundsCommon genetic variantsGenetic predisposition to diseaseLithiumPharmacogeneticsRare genetic variants

Identifiers

PMID28474173
OpenAlexW2611253162

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.