Evidence map›Paper›PMID 38830989›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2024

Smoking-informed methylation and expression QTLs in human brain and colocalization with smoking-associated genetic loci.

Megan Ulmer Carnes, Bryan C Quach, Linran Zhou, Shizhong Han, Ran Tao, Meisha Mandal, Amy Deep-Soboslay, Jesse A Marks, Grier P Page, Brion S Maher and 7 more

Abstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Megan Ulmer Carnes *Genomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
Bryan C Quach *Genomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.ORCID http://orcid.org/0000-0002-1094-3104
Linran ZhouGenomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
Shizhong HanLieber Institute for Brain Development (LIBD), Baltimore, MD, USA.
Ran TaoLieber Institute for Brain Development (LIBD), Baltimore, MD, USA.
Meisha MandalGenomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
Amy Deep-SoboslayLieber Institute for Brain Development (LIBD), Baltimore, MD, USA.
Jesse A MarksGenomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.
Grier P PageGenomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.ORCID http://orcid.org/0000-0003-2582-3786
Brion S MaherDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA.
Andrew E JaffeLieber Institute for Brain Development (LIBD), Baltimore, MD, USA.
Hyejung WonDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0003-3651-0566
Laura J BierutDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-9952-4810
Thomas M HydeLieber Institute for Brain Development (LIBD), Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-8746-3037
Joel E KleinmanLieber Institute for Brain Development (LIBD), Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-4210-6052
Eric O JohnsonGenomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA.ORCID http://orcid.org/0000-0002-8870-1949
Dana B HancockGenomics and Translational Research Center, RTI International, Research Triangle Park, NC, USA. dhancock@rti.org.ORCID http://orcid.org/0000-0003-2240-3604

Funding

Integrating Epigenomics in Human Brain and Genomics of Nicotine DependenceR01DA042090 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI HANCOCK, DANA B · 2016 to 2020
$3.5M
Integrating Multiple Omics to Illuminate Gene Networks Underlying Cigarette Smoking and Opioids.R01DA051913 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI HANCOCK, DANA B, JACOBSON, DANIEL A · 2020 to 2024
$2.9M
Using H-MAGMA to decipher neurobiological bases of smoking and alcohol use traitsR21DA051921 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WON, HYEJUNG · 2020 to 2021
$453k
NIDA NIH HHS R01 DA042090NIDA NIH HHS R01 DA051913NIDA NIH HHS R21 DA051921
6 · The paper itself

Abstract

Smoking is a leading cause of preventable morbidity and mortality. Smoking is heritable, and genome-wide association studies (GWASs) of smoking behaviors have identified hundreds of significant loci. Most GWAS-identified variants are noncoding with unknown neurobiological effects. We used genome-wide genotype, DNA methylation, and RNA sequencing data in postmortem human nucleus accumbens (NAc) to identify cis-methylation/expression quantitative trait loci (meQTLs/eQTLs), investigate variant-by-cigarette smoking interactions across the genome, and overlay QTL evidence at smoking GWAS-identified loci to evaluate their regulatory potential. Active smokers (N = 52) and nonsmokers (N = 171) were defined based on cotinine biomarker levels and next-of-kin reporting. We simultaneously tested variant and variant-by-smoking interaction effects on methylation and expression, separately, adjusting for biological and technical covariates and correcting for multiple testing using a two-stage procedure. We found >2 million significant meQTL variants (p

Indexed as

DNA MethylationGenome-Wide Association StudyQuantitative Trait LociSmokingAdultAgedBrainFemaleHumansMaleMiddle AgedNucleus Accumbens

Identifiers

PMID38830989
PMCPMC11399277

What OpenQuestion holds

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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.