Evidence map›Paper›PMID 22863191›Full record

ArticleAmerican journal of human genetics2012

Exome sequencing followed by large-scale genotyping suggests a limited role for moderately rare risk factors of strong effect in schizophrenia.

Anna C Need, Joseph P McEvoy, Massimo Gennarelli, Erin L Heinzen, Dongliang Ge, Jessica M Maia, Kevin V Shianna, Min He, Elizabeth T Cirulli, Curtis E Gumbs and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. High-impact rare genetic variants in severe schizophrenia.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Recent Advances in the Genetics of Schizophrenia.Molecular neuropsychiatry · 2018
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Genetics of complex traits in psychiatry.Biological psychiatry · 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

21 authors at 9 institutions in 4 countries.

Anna C NeedCenter for Human Genome Variation, Duke University School of Medicine, Durham, NC 27708, USA. anna.need@duke.edu
Joseph P McEvoy
Massimo Gennarelli
Erin L Heinzen
Dongliang Ge
Jessica M Maia
Kevin V Shianna
Min He
Elizabeth T Cirulli
Curtis E Gumbs
Qian Zhao
C Ryan Campbell
Linda Hong
Peter Rosenquist
Anu Putkonen
Tero Hallikainen
Eila Repo-Tiihonen
Jari Tiihonen
Deborah L Levy
Herbert Y Meltzer
David B Goldstein
Duke University · USCenter for Human Genetics · USUniversity of Eastern Finland · FIAtrium Health Wake Forest Baptist · USCentro San Giovanni di Dio Fatebenefratelli · ITDuke University Hospital · USMcLean Hospital · USNiuvanniemi Hospital · FINorthwestern University · US

Funding

NEUROPATHOLOGY COREP30AG028377 · NIA · DUKE UNIVERSITY · PI WELSH-BOHMER, KATHLEEN ANNE · 2006 to 2011
$9.6M
Genetics Training Grant-Year 26T32GM007754 · NIGMS · DUKE UNIVERSITY · PI HAASE, STEVEN B · 1985 to 2019
$8.3M
Whole-genome sequencing for rare highly penetrant gene variants in schizophreniaRC2MH089915 · NIMH · DUKE UNIVERSITY · PI GOLDSTEIN, DAVID B. · 2009 to 2011
$4.6M
PLEIOTROPIC EFFECTS OF GENES LINKED TO SCHIZOPHRENIAR01MH071523 · NIMH · MCLEAN HOSPITAL · PI LEVY, DEBORAH L · 2006 to 2010
$2.9M
Whole-genome sequencing in multiplex epilepsy familiesRC2NS070344 · NINDS · DUKE UNIVERSITY · PI GOLDSTEIN, DAVID B., OTTMAN, RUTH · 2009 to 2010
$2.0M
NIA NIH HHS P30 AG028377NIGMS NIH HHS T32 GM007754NIMH NIH HHS 3RC2MH089915-01W1NIMH NIH HHS R01 MH071523NIMH NIH HHS RC2 MH089915NINDS NIH HHS RC2 NS070344NINDS NIH HHS RC2NS070344PHS HHS UO1AIO67854Wellcome Trust
6 · The paper itself

Abstract

Schizophrenia is a severe psychiatric disorder with strong heritability and marked heterogeneity in symptoms, course, and treatment response. There is strong interest in identifying genetic risk factors that can help to elucidate the pathophysiology and that might result in the development of improved treatments. Linkage and genome-wide association studies (GWASs) suggest that the genetic basis of schizophrenia is heterogeneous. However, it remains unclear whether the underlying genetic variants are mostly moderately rare and can be identified by the genotyping of variants observed in sequenced cases in large follow-up cohorts or whether they will typically be much rarer and therefore more effectively identified by gene-based methods that seek to combine candidate variants. Here, we consider 166 persons who have schizophrenia or schizoaffective disorder and who have had either their genomes or their exomes sequenced to high coverage. From these data, we selected 5,155 variants that were further evaluated in an independent cohort of 2,617 cases and 1,800 controls. No single variant showed a study-wide significant association in the initial or follow-up cohorts. However, we identified a number of case-specific variants, some of which might be real risk factors for schizophrenia, and these can be readily interrogated in other data sets. Our results indicate that schizophrenia risk is unlikely to be predominantly influenced by variants just outside the range detectable by GWASs. Rather, multiple rarer genetic variants must contribute substantially to the predisposition to schizophrenia, suggesting that both very large sample sizes and gene-based association tests will be required for securely identifying genetic risk factors.

Indexed as

Base SequenceExomeFinlandGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMolecular Sequence DataRisk FactorsSchizophreniaSequence AlignmentSequence Analysis, DNAUnited States

Identifiers

PMID22863191
PMCPMC3415532
OpenAlexW2079132282

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.