Evidence map›Paper›PMID 29747567›Full record

ArticleBMC evolutionary biology2018

Recently evolved human-specific methylated regions are enriched in schizophrenia signals.

Niladri Banerjee, Tatiana Polushina, Francesco Bettella, Sudheer Giddaluru, Vidar M Steen, Ole A Andreassen, Stephanie Le Hellard

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Predicting Archaic Hominin Phenotypes from Genomic Data.Annual review of genomics and human genetics · 2022
    Review
  7. Language evolution: examining the link between cross-modality and aggression through the lens of disorders.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  8. Article
  9. 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

7 authors at 2 institutions in 1 country.

Niladri BanerjeeNORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Tatiana PolushinaNORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Francesco BettellaNORMENT - K.G. Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Sudheer GiddaluruNORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Vidar M SteenNORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.
Ole A AndreassenNORMENT - K.G. Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Stephanie Le HellardNORMENT - K.G. Jebsen Center for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway. stephanie.hellard@uib.no.ORCID 0000-0002-8085-051X
Haukeland University Hospital · NOOslo University Hospital · NO

Funding

KG Jebsen Foundation SKGJ-MED-008Norges Forskningsråd #2 T23273
6 · The paper itself

Abstract

backgroundOne explanation for the persistence of schizophrenia despite the reduced fertility of patients is that it is a by-product of recent human evolution. This hypothesis is supported by evidence suggesting that recently-evolved genomic regions in humans are involved in the genetic risk for schizophrenia. Using summary statistics from genome-wide association studies (GWAS) of schizophrenia and 11 other phenotypes, we tested for enrichment of association with GWAS traits in regions that have undergone methylation changes in the human lineage compared to Neanderthals and Denisovans, i.e. human-specific differentially methylated regions (DMRs). We used analytical tools that evaluate polygenic enrichment of a subset of genomic variants against all variants.

resultsSchizophrenia was the only trait in which DMR SNPs showed clear enrichment of association that passed the genome-wide significance threshold. The enrichment was not observed for Neanderthal or Denisovan DMRs. The enrichment seen in human DMRs is comparable to that for genomic regions tagged by Neanderthal Selective Sweep markers, and stronger than that for Human Accelerated Regions. The enrichment survives multiple testing performed through permutation (n = 10,000) and bootstrapping (n = 5000) in INRICH (p < 0.01). Some enrichment of association with height was observed at the gene level.

conclusionsRegions where DNA methylation modifications have changed during recent human evolution show enrichment of association with schizophrenia and possibly with height. Our study further supports the hypothesis that genetic variants conferring risk of schizophrenia co-occur in genomic regions that have changed as the human species evolved. Since methylation is an epigenetic mark, potentially mediated by environmental changes, our results also suggest that interaction with the environment might have contributed to that association.

Indexed as

Evolution, MolecularAdultBipolar DisorderBody HeightBody Mass IndexDNA MethylationFemaleGenetic MarkersGenome-Wide Association StudyGenotypeHumansMajor Histocompatibility ComplexMaleMolecular Sequence AnnotationMultifactorial InheritancePhenotypeGenetic MarkersDifferentially methylated regionsEpigeneticsEvolutionHeight, Neanderthal selective sweep scoreHuman accelerated regionsSchizophrenia

Identifiers

PMID29747567
PMCPMC5946405
OpenAlexW2801793774

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Registered trials

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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.