Evidence map›Paper›PMID 23435969›Full record

ReviewCurrent psychiatry reports2013

Evaluating rare variants in complex disorders using next-generation sequencing.

Matthew Ezewudo, Michael E Zwick

Abstract readReview
In one paragraph

Review in Current psychiatry reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

2 authors.

Matthew EzewudoDepartment of Human Genetics, Emory University, Whitehead Biomedical Research Building, Suite 301, Atlanta, GA 30322, USA. mezewud@emory.edu
Michael E Zwick

Funding

Copy Number Variation as a Cause of Congenital Heart Defects in Down SyndromeR01HL092981 · NHLBI · EMORY UNIVERSITY · PI ZWICK, MICHAEL E. · 2009 to 2013
$3.5M
Identifying Autism Susceptibility Genes By High-Throughput Chip ResequencingR01MH076439 · NIMH · EMORY UNIVERSITY · PI ZWICK, MICHAEL E. · 2005 to 2009
$2.6M
NHLBI NIH HHS R01 HL092981NIMH NIH HHS R01 MH076439
6 · The paper itself

Abstract

Determining the genetic architecture of liability for complex neuropsychiatric disorders like autism spectrum disorders and schizophrenia poses a tremendous challenge for contemporary biomedical research. Here we discuss how genetic studies first tested, and rejected, the hypothesis that common variants with large effects account for the prevalence of these disorders. We then explore how the discovery of structural variation has contributed to our understanding of the etiology of these disorders. The rise of fast and inexpensive oligonucleotide sequencing and methods of targeted enrichment and their influence on the search for rare genetic variation contributing to complex neuropsychiatric disorders is the next focus of our article. Finally, we consider the technical challenges and future prospects for the use of next-generation sequencing to reveal the complex genetic architecture of complex neuropsychiatric disorders in both research and the clinical settings.

Indexed as

Genetic VariationAutistic DisorderGenome-Wide Association StudyHumansNeuropsychologySchizophreniaSequence Analysis, DNA

Identifiers

PMID23435969
PMCPMC3594998

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.