Evidence map›Paper›PMID 24889829›Full record

ArticleHuman genetics2014

Identification of methylation quantitative trait loci (mQTLs) influencing promoter DNA methylation of alcohol dependence risk genes.

Huiping Zhang, Fan Wang, Henry R Kranzler, Can Yang, Hongqin Xu, Zuoheng Wang, Hongyu Zhao, Joel Gelernter

Abstract read
In one paragraph

Article in Human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Promoter Specific Methylation ofFrontiers in genetics · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. ADH1B: From alcoholism, natural selection, and cancer to the human phenome.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Review
  13. Article
  14. Review
  15. Review
  16. DNA modifications in models of alcohol use disorders.Alcohol (Fayetteville, N.Y.) · 2017
    Review
  17. Article
  18. Article
  19. Article
  20. Applying the new genomics to alcohol dependence.Alcohol (Fayetteville, N.Y.) · 2015
    Review
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

8 authors at 3 institutions in 1 country.

Huiping ZhangDivision of Human Genetics in Psychiatry, Department of Psychiatry, Yale University School of Medicine, VA Connecticut Healthcare System 116A2, 950 Campbell Avenue, West Haven, CT, 06516, USA, huiping.zhang@yale.edu.
Fan Wang
Henry R Kranzler
Can Yang
Hongqin Xu
Zuoheng Wang
Hongyu Zhao
Joel Gelernter
Yale University · USVA Connecticut Healthcare System · USUniversity of Pennsylvania · US

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Genomewide Association Study of Cocaine Dependence in two PopulationsRC2DA028909 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2010
$4.2M
Genetics of Cocaine DependenceR01DA018432 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KRANZLER, HENRY RICHARD · 2006 to 2010
$3.5M
Genetics of Alcohol Dependence in African-AmericansR01AA017535 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2013
$3.0M
Association and Function of Opioid Receptor Gene Variants to Substance DependenceR00DA022891 · NIDA · YALE UNIVERSITY · PI ZHANG, HUIPING · 2009 to 2011
$792k
Association and Function of Opioid Receptor Gene Variants to Substance DependenceK99DA022891 · NIDA · YALE UNIVERSITY · PI ZHANG, HUIPING · 2007 to 2008
$176k
NCATS NIH HHS UL1 TR000142NIAAA NIH HHS P50 AA012870NIAAA NIH HHS P50 AA12870NIAAA NIH HHS R01 AA011330NIAAA NIH HHS R01 AA017535NIAAA NIH HHS R01 AA11330NIDA NIH HHS K99 DA022891NIDA NIH HHS K99/R00 DA022891NIDA NIH HHS R00 DA022891NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS R01 DA018432NIDA NIH HHS R01 DA12690NIDA NIH HHS R01 DA12849NIDA NIH HHS R01 DA18432NIDA NIH HHS RC2 DA028909
6 · The paper itself

Abstract

Interaction of DNA methylation and sequence variants that are methylation quantitative trait loci (mQTLs) may influence susceptibility to diseases such as alcohol dependence (AD). We used genome-wide genotype data from 268 African Americans (AAs: 129 AD cases and 139 controls) and 143 European Americans (EAs: 129 AD cases and 14 controls) to identify mQTLs that were associated with promoter CpGs in 82 AD risk genes. 282 significant mQTL-CpG pairs (9.9 × 10(-100) ≤ P(nominal) ≤ 7.7 × 10(-8)) in AAs and 313 significant mQTL-CpG pairs (2.7 × 10(-53) ≤ P(nominal) ≤ 9.9 × 10(-8)) in EAs were identified [i.e., mQTL-CpG associations survived multiple-testing correction, q values (false discovery rate) ≤ 0.05]. The most significant mQTL was rs1800759, which was strongly associated with CpG cg12011299 in both AAs (P(nominal) = 9.9 × 10(-100); q = 6.7 × 10(-91)) and EAs (P(nominal) = 2.7 × 10(-53); q = 1.4 × 10(-44)). Rs1800759 (previously known to be associated to AD) and CpG cg12011299 (distance: 37 bp) are both located in alcohol dehydrogenase (ADH) 4 gene (ADH4) promoter region. In general, the strength of association between mQTLs and CpGs was inversely correlated with the distance between them. Association was also influenced by race and AD. Additionally, 48.3 % of the mQTLs identified in AAs and 65.6 % of the mQTLs identified in EAs were predicted to be expression QTLs. Three mQTLs (rs2173201, rs4147542, and rs4147541 in ADH1B-AHD1C gene cluster region) found in AAs were previously identified by our genome-wide association studies as being significantly associated with AD in AAs. Thus, DNA methylation, which can be influenced by sequence variants and is implicated in gene expression regulation, appears to at least partially underlie the association of genetic variation with AD.

Indexed as

DNA MethylationAlcoholismBlack or African AmericanCase-Control StudiesComputational BiologyCpG IslandsFemaleGenetic Association StudiesGenotypeHumansMalePolymorphism, Single NucleotidePromoter Regions, GeneticQuantitative Trait LociRisk FactorsWhite People

Identifiers

PMID24889829
PMCPMC4127343
OpenAlexW2135166274

What OpenQuestion holds

Textmetadata
LicenceTDM
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.