Evidence map›Paper›PMID 20948719›Full record

ArticleF1000 medicine reports2009

Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics?

David A Collier, Evangelos Vassos, Simon Holden, Christine Patch, Philip McGuire, Cathryn Lewis

Open access · bronzeAbstract read
In one paragraph

Article in F1000 medicine reports, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

David A Collier
Evangelos Vassos
Simon Holden
Christine Patch
Philip McGuire
Cathryn Lewis
King's College London · GBGuy's and St Thomas' NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a highly heritable, common mental illness, affecting 1% of the population worldwide. It is currently diagnosed using exclusive clinical criteria, and at present there are no genetic tests to facilitate this process. There are also no reliable means to predict who will develop the disease in later life. Genetic counselling uses crude estimates of risk based on family history, as the strongest predictive factor is having an affected first-degree relative. It has recently become apparent that large de novo deletions in the genome (copy number variants, or CNVs) can increase risk of the disease by tenfold or more. The purpose of this report is to assess whether these 'high risk' pathogenic CNVs might be useful in a clinical genetic or diagnostic setting. Routine use of laboratory techniques such as comparative genome hybridisation will reveal these de novo CNVs in standard investigative procedures for referrals to clinical genetics. The lack of disease specificity of CNVs presents problems for their use in diagnosis at present. Currently, there is also insufficient evidence in relation to schizophrenia to suggest that clear clinical benefit would be gained from learning one's genetic status pre-symptomatically. However, this is likely to change rapidly in the near future as knowledge of the genetic and environmental basis of schizophrenia accrues and increasingly effective measures for early intervention and risk reduction are developed.

Identifiers

PMID20948719
PMCPMC2948301
OpenAlexW2134945205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.