Evidence map›Paper›PMID 28081145›Full record

ArticlePloS one2017

Probing the Association between Early Evolutionary Markers and Schizophrenia.

Saurabh Srinivasan, Francesco Bettella, Sahar Hassani, Yunpeng Wang, Aree Witoelar, Andrew J Schork, Wesley K Thompson, David A Collier, Rahul S Desikan, Ingrid Melle and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
  7. Neanderthal-derived genetic variation in living humans relates to schizophrenia diagnosis, to psychotic symptom severity, and to dopamine synthesis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2021
    Article
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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

13 authors at 5 institutions in 4 countries.

Saurabh SrinivasanNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Francesco BettellaNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Sahar HassaniNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Yunpeng WangNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Aree WitoelarNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Andrew J SchorkMultimodal Imaging Laboratory, University of California at San Diego, La Jolla, CA, United States of America.
Wesley K ThompsonInstitute of Biological Psychiatry, Mental Health Center St. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.
David A CollierEli Lilly & Co, Erl Wood Manor, Windlesham, Surrey, United Kingdom.
Rahul S DesikanNeuroradiology Section, Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States of America.
Ingrid MelleNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Anders M DaleMultimodal Imaging Laboratory, University of California at San Diego, La Jolla, CA, United States of America.
Srdjan DjurovicDepartment of Medical Genetics, Oslo University Hospital, Oslo, Norway.
Ole A AndreassenNORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Oslo University Hospital · NOUniversity of California, San Francisco · USEli Lilly (United Kingdom) · GBMental Health Services · DKUniversity of California San Diego · US

Funding

Polygenicity, Pleiotrophy and Power: Novel Statistical Methods for Gene DiscoveryR01GM104400 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI THOMPSON, WESLEY KURT · 2014 to 2017
$1.6M
NIGMS NIH HHS R01 GM104400
6 · The paper itself

Abstract

Schizophrenia is suggested to be a by-product of the evolution in humans, a compromise for our language, creative thinking and cognitive abilities, and thus, essentially, a human disorder. The time of its origin during the course of human evolution remains unclear. Here we investigate several markers of early human evolution and their relationship to the genetic risk of schizophrenia. We tested the schizophrenia evolutionary hypothesis by analyzing genome-wide association studies of schizophrenia and other human phenotypes in a statistical framework suited for polygenic architectures. We analyzed evolutionary proxy measures: human accelerated regions, segmental duplications, and ohnologs, representing various time periods of human evolution for overlap with the human genomic loci associated with schizophrenia. Polygenic enrichment plots suggest a higher prevalence of schizophrenia associations in human accelerated regions, segmental duplications and ohnologs. However, the enrichment is mostly accounted for by linkage disequilibrium, especially with functional elements like introns and untranslated regions. Our results did not provide clear evidence that markers of early human evolution are more likely associated with schizophrenia. While SNPs associated with schizophrenia are enriched in HAR, Ohno and SD regions, the enrichment seems to be mediated by affiliation to known genomic enrichment categories. Taken together with previous results, these findings suggest that schizophrenia risk may have mainly developed more recently in human evolution.

Indexed as

Evolution, MolecularGenome-Wide Association StudyLinkage DisequilibriumMultifactorial InheritancePolymorphism, Single NucleotideFemaleGenetic MarkersHumansMaleRisk FactorsSchizophreniaGenetic Markers

Identifiers

PMID28081145
PMCPMC5231388
OpenAlexW2578512195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.