Evidence map›Paper›PMID 21972136›Full record

ArticleAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2011

Similarities and differences in peripheral blood gene-expression signatures of individuals with schizophrenia and their first-degree biological relatives.

Stephen J Glatt, William S Stone, Nadine Nossova, Choong-Chin Liew, Larry J Seidman, Ming T Tsuang

Abstract read
In one paragraph

Article in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Detecting differential transcript usage in complex diseases with SPIT.bioRxiv : the preprint server for biology · 2023
    Article
  8. Article
  9. Review
  10. Neurobiological effects of aerobic exercise, with a focus on patients with schizophrenia.European archives of psychiatry and clinical neuroscience · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

6 authors at 4 institutions in 1 country.

Stephen J GlattPsychiatric Genetic Epidemiology & Neurobiology Laboratory, Medical Genetics Research Center, Department of Psychiatry and Behavioral Sciences & Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York 13210, USA. glatts@upstate.edu
William S Stone
Nadine Nossova
Choong-Chin Liew
Larry J Seidman
Ming T Tsuang
Beth Israel Deaconess Medical Center · USHarvard University · USSUNY Upstate Medical University · USUniversity of California, San Diego · US

Funding

TARGETING GENETIC PATHWAYS FOR BRAIN OVERGROWTH IN AUTISM SPECTRUM DISORDERSP50MH081755 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI COURCHESNE, ERIC · 2007 to 2013
$10.3M
The Genetics of Endophenotypes and SchizophreniaR01MH065562 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI SEIDMAN, LARRY J · 2003 to 2007
$2.6M
Schizophrenia Biomarkers: Blood vs Brain Gene ExpressionR21MH075027 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TSUANG, MING T. · 2005 to 2006
$336k
NIMH NIH HHS P50 MH081755NIMH NIH HHS P50MH081755-0003NIMH NIH HHS R01 MH065562NIMH NIH HHS R01MH065562NIMH NIH HHS R21 MH075027NIMH NIH HHS R21MH075027
6 · The paper itself

Abstract

Several studies have evaluated the potential utility of blood-based whole-transcriptome signatures as a source of biomarkers for schizophrenia. This endeavor has been complicated by the fact that individuals with schizophrenia typically differ from appropriate comparison subjects on more than just the presence of the disorder; for example, individuals with schizophrenia typically receive antipsychotic medications, and have been dealing with the sequelae of this chronic illness for years. The inability to control such factors introduces a considerable degree of uncertainty in the results to date. To overcome this, we performed a blood-based gene-expression profiling study of schizophrenia patients (n = 9) as well as their unmedicated, nonpsychotic, biological siblings (n = 9) and unaffected comparison subjects (n = 12). The unaffected biological siblings, who may harbor some of the genetic predisposition to schizophrenia, exhibited a host of gene-expression differences from unaffected comparison subjects, many of which were shared by their schizophrenic siblings, perhaps indicative of underlying risk factors for the disorder. Several genes that were dysregulated in both individuals with schizophrenia and their siblings related to nucleosome and histone structure and function, suggesting a potential epigenetic mechanism underlying the risk state for the disorder. Nonpsychotic siblings also displayed some differences from comparison subjects that were not found in their affected siblings, suggesting that the dysregulation of some genes in peripheral blood may be indicative of underlying protective factors. This study, while exploratory, illustrated the potential utility and increased informativeness of including unaffected first-degree relatives in research in pursuit of peripheral biomarkers for schizophrenia.

Indexed as

FamilyGene Expression ProfilingAdolescentAdultAgedBiomarkersFemaleGenetic Predisposition to DiseaseGenetic TestingHistonesHumansMaleMiddle AgedNucleosomesOligonucleotide Array Sequence AnalysisRNA, MessengerBiomarkersHistonesNucleosomesRNA, Messenger

Identifiers

PMID21972136
PMCPMC3213682
OpenAlexW2105057146

What OpenQuestion 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 OpenQuestion graph.