Evidence map›Paper›PMID 27922606›Full record

ArticleMolecular psychiatry2018

OTTO: a new strategy to extract mental disease-relevant combinations of GWAS hits from individuals.

H Ehrenreich, M Mitjans, S Van der Auwera, T P Centeno, M Begemann, H J Grabe, S Bonn, K-A Nave

Abstract read
In one paragraph

Article in Molecular psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Oligodendrocyte progenitors as environmental biosensors.Seminars in cell & developmental biology · 2021
    Review
  5. Article
  6. Hyperfunctioning of the right posterior superior temporal sulcus in response to neutral facial expressions presents an endophenotype of schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  7. Article
  8. Article
  9. A comprehensive review of the genetic and biological evidence supports a role for MicroRNA-137 in the etiology of schizophrenia.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Review
  10. Review
  11. Article
  12. 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

8 authors.

H EhrenreichClinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany.
M MitjansClinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany.
S Van der AuweraDepartment of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany.
T P CentenoComputational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
M BegemannClinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany.
H J GrabeDepartment of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany.
S BonnDFG Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany.
K-A NaveDFG Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite high heritability of schizophrenia, genome-wide association studies (GWAS) have not yet revealed distinct combinations of single-nucleotide polymorphisms (SNPs), relevant for mental disease-related, quantifiable behavioral phenotypes. Here we propose an individual-based model to use genome-wide significant markers for extracting first genetic signatures of such behavioral continua. 'OTTO' (old Germanic=heritage) marks an individual characterized by a prominent phenotype and a particular load of phenotype-associated risk SNPs derived from GWAS that likely contributed to the development of his personal mental illness. This load of risk SNPs is shared by a small squad of 'similars' scattered under the genetically and phenotypically extremely heterogeneous umbrella of a schizophrenia end point diagnosis and to a variable degree also by healthy subjects. In a discovery sample of >1000 deeply phenotyped schizophrenia patients and several independent replication samples, including the general population, a gradual increase in the severity of 'OTTO's phenotype' expression is observed with an increasing share of 'OTTO's risk SNPs', as exemplified here by autistic and affective phenotypes. These data suggest a model in which the genetic contribution to dimensional behavioral traits can be extracted from combinations of GWAS SNPs derived from individuals with prominent phenotypes. Even though still in the 'model phase' owing to a world-wide lack of sufficiently powered, deeply phenotyped replication samples, the OTTO approach constitutes a conceptually novel strategy to delineate biological subcategories of mental diseases starting from GWAS findings and individual subjects.

Indexed as

AdultAgedFemaleGenetic HeterogeneityGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotidePsychotic DisordersRisk FactorsSchizophrenia

Identifiers

PMID27922606
PMCPMC5794905

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.