Evidence map›Paper›PMID 26146898›Full record

ArticleAlcoholism, clinical and experimental research2015

Combined Whole Methylome and Genomewide Association Study Implicates CNTN4 in Alcohol Use.

Shaunna L Clark, Karolina A Aberg, Srilaxmi Nerella, Gaurav Kumar, Joseph L McClay, Wenan Chen, Linying Y Xie, Aki Harada, Andrey A Shabalin, Guimin Gao and 5 more

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Epigenetic Biomarkers for Environmental Exposures and Personalized Breast Cancer Prevention.International journal of environmental research and public health · 2020
    Article
  7. Genetics of alcohol use disorder: a review.Current opinion in psychology · 2019
    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

15 authors at 3 institutions in 2 countries.

Shaunna L ClarkCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Karolina A AbergCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Srilaxmi NerellaCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Gaurav KumarCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Joseph L McClayCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Wenan ChenDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, Virginia.
Linying Y XieCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Aki HaradaCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Andrey A ShabalinCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Guimin GaoDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, Virginia.
Sarah E BergenPsychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts.
Christina M HultmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Patrik K E MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Patrick F SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Edwin J C G van den OordCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia.
Virginia Commonwealth University · USKarolinska Institutet · SEHarvard University · US

Funding

Whole genome profiling to detect schizophrenia methylation markersRC2MH089996 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2009 to 2010
$4.5M
1/2-Cis & Trans-Data Integration to Find Mechanisms Causing Psychiatric DisorderR01MH097283 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2012 to 2014
$996k
Investigating Methylation Patterns Associated with Alcohol Use and AddictionK01AA021266 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLARK, SHAUNNA L · 2012 to 2016
$580k
NIAAA NIH HHS K01 AA021266NIAAA NIH HHS K01AA021266NIMH NIH HHS 1R01MH097283NIMH NIH HHS R01 MH097283NIMH NIH HHS RC2 MH089996NIMH NIH HHS RC2MH089996
6 · The paper itself

Abstract

backgroundMethylome-wide association (MWAS) studies present a new way to advance the search for biological correlates for alcohol use. A challenge with methylation studies of alcohol involves the causal direction of significant methylation-alcohol associations. One way to address this issue is to combine MWAS data with genomewide association study (GWAS) data.

methodsHere, we combined MWAS and GWAS results for alcohol use from 619 individuals. Our MWAS data were generated by next-generation sequencing of the methylated genomic DNA fraction, producing over 60 million reads per subject to interrogate methylation levels at ~27 million autosomal CpG sites in the human genome. Our GWAS included 5,571,786 single nucleotide polymorphisms (SNPs) imputed with 1000 Genomes.

resultsWhen combining the MWAS and GWAS data, our top finding was a region in an intron of CNTN4 (p = 2.55 × 10(-8) ), located between chr3: 2,555,403 and 2,555,524, encompassing SNPs rs1382874 and rs1382875. This finding was then replicated in an independent sample of 730 individuals. We used bisulfite pyrosequencing to measure methylation and found significant association with regular alcohol use in the same direction as the MWAS (p = 0.021). Rs1382874 and rs1382875 were genotyped and found to be associated in the same direction as the GWAS (p = 0.008 and p = 0.009). After integrating the MWAS and GWAS findings from the replication sample, we replicated our combined analysis finding (p = 0.0017) in CNTN4.

conclusionsThrough combining methylation and SNP data, we have identified CNTN4 as a risk factor for regular alcohol use.

Indexed as

AdultAgedAlcohol DrinkingContactinsDNA MethylationFemaleGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPolymorphism, Single NucleotideCNTN4 protein, humanContactinsCNTN4Genomewide Association StudyMethylationNext-Generation Sequencing

Identifiers

PMID26146898
PMCPMC4515164
OpenAlexW1943565762

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.