Evidence map›Paper›PMID 28815635›Full record

ArticleAlcoholism, clinical and experimental research2017

Associations Between Genomic Variants in Alcohol Dehydrogenase Genes and Alcohol Symptomatology in American Indians and European Americans: Distinctions and Convergence.

Qian Peng, Ian R Gizer, Kirk C Wilhelmsen, Cindy L Ehlers

Open access · greenAbstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Human genetics and epigenetics of alcohol use disorder.The Journal of clinical investigation · 2024
    Review
  3. Article
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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 3 institutions in 1 country.

Qian PengDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.ORCID http://orcid.org/0000-0002-2662-3412
Ian R GizerDepartment of Psychological Sciences, University of Missouri-Columbia, Columbia, Missouri.
Kirk C WilhelmsenDepartment of Genetics and Neurology, University of North Carolina, Chapel Hill, North Carolina.
Cindy L EhlersDepartment of Neuroscience, The Scripps Research Institute, La Jolla, California.
Scripps Research Institute · USUniversity of Missouri · USUniversity of North Carolina at Chapel Hill · US

Funding

Deep sequencing studies for cannabis and stimulant dependenceR01DA030976 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EHLERS, CINDY L, GELERNTER, JOEL · 2010 to 2014
$16.5M
RISK FACTORS FOR ALCOHOLISM IN NATIVE AMERICANSR37AA010201 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI EHLERS, CINDY L · 2007 to 2015
$7.0M
Big data analytics for the evaluation of whole genome sequence and transcriptome data in alcohol researchK25AA025095 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI PENG, QIAN · 2016 to 2020
$807k
NIAAA NIH HHS K25 AA025095NIAAA NIH HHS R37 AA010201NIDA NIH HHS R01 DA030976
6 · The paper itself

Abstract

backgroundHigher rates of alcohol use disorders (AUD) have been observed in some Native American populations than other ethnic groups such as European Americans (EAs) in the United States. Previous studies have shown that variation in the alcohol dehydrogenase (ADH) genes may affect the risk for development of AUD and that the prevalence of these variants differs depending on the ancestral origins of a population.

methodsIn this study, we assessed sequencing variants in the ADH genomic region (ADH1-7) and tested for their associations with AUD phenotypes in 2 independent populations: an American Indian (AI) community sample and an EA cohort from the San Francisco Family Alcohol Study. Association tests were conducted for both common and rare variants using sequencing data for 2 phenotypes: the number of alcohol-related life events and the count of alcohol dependence drinking symptoms. A regularized regression method was used to select the best set of ADH variants associated with phenotypes. Variance component model was incorporated in all analyses to leverage the admixture and relatedness.

resultsTwo variants near ADH4 and 2 near ADH1C exhibited significant associations with AUD in AIs; no variant was significant in EAs. Common risk variants in AIs were either absent from or much less frequent in EAs. The feature selection method selected mostly distinct yet often colocated subsets of ADH variants to be associated with AUD phenotypes between the 2 cohorts. In the rare-variant analyses, the only association was observed between the whole region and the alcohol-related life events in AIs.

conclusionsOur results suggest that ADH variants, both common and rare, are more likely to impact risk for alcohol-related symptomatology in this AI population than in this EA sample, and ADH variants that might affect AUD are likely different but convergent on similar regions between the 2 populations.

Indexed as

AdolescentAdultAgedAged, 80 and overAlcohol DehydrogenaseAlcoholismCohort StudiesFemaleGenetic Association StudiesGenetic VariationHumansIndians, North AmericanMaleMiddle AgedUnited StatesWhite PeopleAlcohol DehydrogenaseADH Sequencing VariantsAlcohol Use DisorderEthnicityGenomic Variant Selections

Identifiers

PMID28815635
PMCPMC5626638
OpenAlexW2745923459

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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.