Evidence map›Paper›PMID 19287136›Full record

ReviewCytogenetic and genome research2008

Copy variations in schizophrenia and bipolar disorder.

H M Lachman

Open access · bronzeAbstract readReview
In one paragraph

Review in Cytogenetic and genome research, 2008. 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
0.6field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Glycogen synthase kinase 3 beta gene structural variants as possible risk factors of bipolar depression.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2014
    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

1 author at 1 institution in 1 country.

H M LachmanDepartment of Psychiatry and Behavioral Sciences, Division of Basic Research Albert Einstein College of Medicine, Bronx, New York, USA. lachman@aecom.yu.edu
Albert Einstein College of Medicine · US

Funding

Molecular analysis of bipolar and schizophrenia candidate genesR01MH073164 · NIMH · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI LACHMAN, HERBERT M · 2006 to 2012
$1.6M
NIMH NIH HHS R01 MH073164NIMH NIH HHS R01MH073164
6 · The paper itself

Abstract

The analysis of copy number variations (CNVs) is an emerging tool for identifying genetic factors underlying complex traits. In this chapter I will review studies that have been carried out showing that CNVs play a role in the development of two such complex traits; schizophrenia (SZ) and bipolar disorder (BD). There are two aspects to consider regarding the role of copy variations in these conditions. One is gene discovery in which DNA from patients is analyzed for the purpose of identifying rare, patient-specific CNVs that may be informative to a larger population of affected individuals. The model for this concept is based on the emergence of DISC1 as a SZ candidate gene, which was discovered in a single informative family with a rare chromosomal translocation. Another aspect revolves around the idea that polymorphic CNVs found in the general population, many of which appear to disrupt previously identified SZ and BD candidate genes, contribute to disease pathogenesis. Here, gene-disrupting CNVs are viewed in the same manner as functional SNPs and analyzed for involvement in disease susceptibility using genetic association. Although the analysis of CNVs in patients with psychiatric disorders is in its infancy, informative new findings have already been made, suggesting that this is a very promising line of research.

Indexed as

AnimalsBipolar DisorderGene DosageGenetic Predisposition to DiseaseHumansPolymorphism, GeneticSchizophrenia

Identifiers

PMID19287136
PMCPMC2920181
OpenAlexW1999468540

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.