Evidence map›Paper›PMID 30691483›Full record

ArticleMolecular brain2019

Genetic risk variants for brain disorders are enriched in cortical H3K27ac domains.

Eilis Hannon, Sarah J Marzi, Leonard S Schalkwyk, Jonathan Mill

Open access · goldAbstract read
In one paragraph

Article in Molecular brain, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  13. Genomic mechanisms in Alzheimer's disease.Brain pathology (Zurich, Switzerland) · 2020
    Review
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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

4 authors at 4 institutions in 1 country.

Eilis HannonUniversity of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, University of Exeter, Barrack Rd, Exeter, EX2 5DW, UK.
Sarah J MarziBlizard Institute, Queen Mary University of London, London, E1 2AD, UK.
Leonard S SchalkwykSchool of Biological Sciences, University of Essex, Colchester, CO4 3SQ, UK.
Jonathan MillUniversity of Exeter Medical School, RILD Building, Royal Devon & Exeter Hospital, University of Exeter, Barrack Rd, Exeter, EX2 5DW, UK. J.Mill@exeter.ac.uk.
Queen Mary University of London · GBRoyal Devon and Exeter Hospital · GBUniversity of Essex · GBUniversity of Exeter · GB

Funding

A multi-faceted approach to epigenomic profiling in Alzheimer's disorderR01AG036039 · NIA · KING'S COLLEGE LONDON · PI MILL, JONATHAN · 2009 to 2012
$1.7M
Medical Research Council MR/M008924/1Medical Research Council MR/R005176/1NIA NIH HHS R01 AG036039Wellcome TrustWellcome Trust WT101650MA
6 · The paper itself

Abstract

Most variants associated with complex phenotypes in genome-wide association studies (GWAS) do not directly index coding changes affecting protein structure. Instead they are hypothesized to influence gene regulation, with common variants associated with disease being enriched in regulatory domains including enhancers and regions of open chromatin. There is interest, therefore, in using epigenomic annotation data to identify the specific regulatory mechanisms involved and prioritize risk variants. We quantified lysine H3K27 acetylation (H3K27ac) - a robust mark of active enhancers and promoters that is strongly correlated with gene expression and transcription factor binding - across the genome in entorhinal cortex samples using chromatin immunoprecipitation followed by highly parallel sequencing (ChIP-seq). H3K27ac peaks were called using high quality reads combined across all samples and formed the basis of partitioned heritability analysis using LD score regression along with publicly-available GWAS results for seven psychiatric and neurodegenerative traits. Heritability for all seven brain traits was significantly enriched in these H3K27ac peaks (enrichment ranging from 1.09-2.13) compared to regions of the genome containing other active regulatory and functional elements across multiple cell types and tissues. The strongest enrichments were for amyotrophic lateral sclerosis (ALS) (enrichment = 2.19; 95% CI = 2.12-2.27), autism (enrichment = 2.11; 95% CI = 2.05-2.16) and major depressive disorder (enrichment = 2.04; 95% CI = 1.92-2.16). Much lower enrichments were observed for 14 non-brain disorders, although we identified enrichment in cortical H3K27ac domains for body mass index (enrichment = 1.16; 95% CI = 1.13-1.19), ever smoked (enrichment = 2.07; 95% CI = 2.04-2.10), HDL (enrichment = 1.53; 95% CI = 1.45-1.62) and trigylcerides (enrichment = 1.33; 95% CI = 1.24-1.42). These results indicate that risk alleles for brain disorders are preferentially located in regions of regulatory/enhancer function in the cortex, further supporting the hypothesis that genetic variants for these phenotypes influence gene regulation in the brain.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationAcetylationBrain DiseasesEntorhinal CortexHistonesHumansInheritance PatternsLysineRisk FactorsHistonesLysineActive enhancerBrain disorderEpigeneticsGWASH3K27acLD score regressionNeurodegenerative diseasePromoterPsychiatric illness

Identifiers

PMID30691483
PMCPMC6348673
OpenAlexW2914450936

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.