Evidence map›Paper›PMID 29587883›Full record

ArticleGenome medicine2018

Elevated polygenic burden for autism is associated with differential DNA methylation at birth.

Eilis Hannon, Diana Schendel, Christine Ladd-Acosta, Jakob Grove, iPSYCH-Broad ASD Group, Christine Søholm Hansen, Shan V Andrews, David Michael Hougaard, Michaeline Bresnahan, Ole Mors and 13 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 5 pooled it
8.9field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 5 syntheses or guidelines pooled it, 119 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

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

23 authors at 6 institutions in 3 countries.

Eilis HannonUniversity of Exeter Medical School, University of Exeter, RILD Building, Level 4, Barrack Rd, Exeter, EX2 5DW, UK.
Diana SchendelDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Christine Ladd-AcostaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jakob GroveDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
iPSYCH-Broad ASD Group
Christine Søholm HanseniPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Shan V AndrewsDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
David Michael HougaardiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Michaeline BresnahanCenter for Infection and Immunity, Columbia University Mailman School of Public Health, New York, USA.
Ole MorsiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Mads Vilhelm HollegaardiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Marie Bækvad-HanseniPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Mady HornigCenter for Infection and Immunity, Columbia University Mailman School of Public Health, New York, USA.
Preben Bo MortenseniPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Anders D BørglumDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Thomas WergeiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Marianne Giørtz PederseniPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Merete NordentoftiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Joseph BuxbaumDepartment of Psychiatry, Mount Sinai School of Medicine, New York City, USA.
M Daniele FallinWendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jonas Bybjerg-GrauholmiPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
Abraham ReichenbergDepartment of Psychiatry, Mount Sinai School of Medicine, New York City, USA.
Jonathan MillUniversity of Exeter Medical School, University of Exeter, RILD Building, Level 4, Barrack Rd, Exeter, EX2 5DW, UK. J.Mill@exeter.ac.uk.ORCID 0000-0003-1115-3224
Statens Serum Institut · DKAarhus University · DKJohns Hopkins University · USUniversity of Exeter · GBLundbeck Foundation · DKUniversity of Copenhagen · DK

Funding

Multigenerational FamIlial and Environmental Risk for Autism (MINERvA) NetworkU01HD073978 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI REICHENBERG, ABRAHAM · 2012 to 2016
$4.9M
Epigenetic Marks as Peripheral Biomarkers of AutismR01MH089606 · NIMH · EMORY UNIVERSITY · PI WARREN, STEPHEN T. · 2009 to 2010
$3.1M
Medical Research Council MR/K013807/1NICHD NIH HHS U01 HD073978NIH HHS HD073978NIMH NIH HHS R01 MH089606Wellcome Trust
6 · The paper itself

Abstract

backgroundAutism spectrum disorder (ASD) is a severe neurodevelopmental disorder characterized by deficits in social communication and restricted, repetitive behaviors, interests, or activities. The etiology of ASD involves both inherited and environmental risk factors, with epigenetic processes hypothesized as one mechanism by which both genetic and non-genetic variation influence gene regulation and pathogenesis. The aim of this study was to identify DNA methylation biomarkers of ASD detectable at birth.

methodsWe quantified neonatal methylomic variation in 1263 infants-of whom ~ 50% went on to subsequently develop ASD-using DNA isolated from archived blood spots taken shortly after birth. We used matched genotype data from the same individuals to examine the molecular consequences of ASD-associated genetic risk variants, identifying methylomic variation associated with elevated polygenic burden for ASD. In addition, we performed DNA methylation quantitative trait loci (mQTL) mapping to prioritize target genes from ASD GWAS findings.

resultsWe identified robust epigenetic signatures of gestational age and prenatal tobacco exposure, confirming the utility of DNA methylation data generated from neonatal blood spots. Although we did not identify specific loci showing robust differences in neonatal DNA methylation associated with later ASD, there was a significant association between increased polygenic burden for autism and methylomic variation at specific loci. Each unit of elevated ASD polygenic risk score was associated with a mean increase in DNA methylation of - 0.14% at two CpG sites located proximal to a robust GWAS signal for ASD on chromosome 8.

conclusionsThis study is the largest analysis of DNA methylation in ASD undertaken and the first to integrate genetic and epigenetic variation at birth. We demonstrate the utility of using a polygenic risk score to identify molecular variation associated with disease, and of using mQTL to refine the functional and regulatory variation associated with ASD risk variants.

Indexed as

ParturitionAutism Spectrum DisorderCohort StudiesDNA MethylationDried Blood Spot TestingEpigenesis, GeneticFemaleGestational AgeHumansInfant, NewbornMaleMultifactorial InheritanceNicotianaQuantitative Trait LociReproducibility of ResultsAutismBirthDNA methylationDNA methylation quantitative trait loci (mQTL)Epigenome-wide association study (EWAS)GeneticsGenome-wide association study (GWAS)NeonatalPolygenic risk scorePrenatal smoking

Identifiers

PMID29587883
PMCPMC5872584
OpenAlexW2771739240

What OpenQuestion holds

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LicenceCC BY
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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.