Evidence map›Paper›PMID 26230968›Full record

ReviewInternational journal of methods in psychiatric research2015

A guide on gene prioritization in studies of psychiatric disorders.

Sven Stringer, Kim C Cerrone, Wim van den Brink, Julia F van den Berg, Damiaan Denys, Rene S Kahn, Eske M Derks

Abstract readReview
In one paragraph

Review in International journal of methods in psychiatric research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Observational
  2. Observational
  3. Article
  4. Article
  5. A guide on gene prioritization in studies of psychiatric disorders.International journal of methods in psychiatric research · 2015
    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

7 authors.

Sven StringerDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Kim C CerroneDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Wim van den BrinkDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Julia F van den BergParnassia Psychiatric Institute, The Hague, The Netherlands.
Damiaan DenysDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Rene S KahnBrain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
Eske M DerksDepartment of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been an increasing interest in the identification of genetic variants causing individual differences in human behavior. Psychiatrists have contributed to the genetics field by defining the most important behavioral characteristics and by studying the association between genetic variants and behavioral differences within phenotypically well-characterized samples in which detailed assessments have been collected (e.g. neuroimaging). These samples are typically limited in size and are therefore not suitable for a genome-wide association analysis. Instead, gene association studies conducted in such samples typically focus on a few genes of interest, allowing smaller sample sizes. However, the selection of high-priority genes is not always straightforward and psychiatrists will usually have a limited background in genetics. We aim to fill this gap by (i) providing a basic introduction to genetics; (ii) showing how the selection of genes of interest can be optimized by the use of two web tools: Polysearch and Gene Prospector; (iii) illustrating how statistical power analyses can be performed and discussing the importance of sufficiently powered studies. This guide can help psychiatrists with limited experience in genetics in designing genetic studies that allow identification of specific behavioral, cognitive, or neural correlates of genetic risk variants, while avoiding common pitfalls. Copyright © 2015 John Wiley & Sons, Ltd.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansMental DisordersNeuroimagingPolymorphism, Single Nucleotidegene prioritizationgeneticsguidepsychiatry

Identifiers

PMID26230968
PMCPMC6878611

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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.