Evidence map›Paper›PMID 41802851›Full record

ArticleAlcohol, clinical & experimental research2026

Participant ascertainment is differentially related to phenotypic characteristics and alcohol-related genetic liability in a sample with severe alcohol use disorder.

Alexis C Edwards, Kristin Passero, Michelle Eglovitch, Kathryn Polak, Anna Beth Parlier-Ahmad, Enkelejda Ngjelina, Mallory Stephenson, Severine Lannoy, Dace Svikis, Kenneth Kendler

Abstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. 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

10 authors.

Alexis C EdwardsDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA.
Kristin PasseroDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA.
Michelle EglovitchDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0009-0006-0887-9461
Kathryn PolakDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA.
Anna Beth Parlier-AhmadDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0002-6862-9548
Enkelejda NgjelinaDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA.
Mallory StephensonDepartment of Cellular, Molecular, and Genetic Medicine, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0002-1498-4333
Severine LannoyDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA.
Dace SvikisDepartment of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA.
Kenneth KendlerDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0001-8689-6570

Funding

A Genome Wide Association Study of Severe Alcohol Use DisorderR01AA026750 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN, SVIKIS, DACE S · 2018 to 2022
$3.4M
NIAAA NIH HHS R01 AA026750NIH HHS AA026750NIH HHS AA027522NIH HHS AA030611
6 · The paper itself

Abstract

backgroundAlcohol use disorder (AUD) is a common substance use disorder associated with a range of sociodemographic, behavioral, and genetic factors. The current study characterizes variation in such factors as a function of ascertainment strategy in a sample of individuals with a lifetime history of severe AUD.

methodsParticipants (N = 10,804) were recruited through substance use treatment facilities or through online outreach/advertisement in the United States and completed a survey that assessed a range of alcohol-related variables, sociodemographics, psychopathology, and personality. Participants were asked to provide a saliva sample for DNA extraction and genotyping. Participants' survey responses and their polygenic risk for multiple alcohol outcomes were compared as a function of ascertainment strategy ("clinic" vs. "online") using t and chi-square tests.

resultsAscertainment strategy was significantly associated with many phenotypic variables, although effect sizes were generally small. In general, clinic participants reported more adverse outcomes, such as higher AUDIT-C scores, longer duration of alcohol problems, antisocial behavior symptom counts, and four of five impulsivity facets. However, online participants reported more problems with depression. Polygenic risk scores differed by ascertainment strategy only for participants of European descent. Clinic participants' scores were higher for AUD, AUDIT-C, drinks per week, and problematic alcohol use. The groups' scores did not significantly differ for typical maximum drinks in 24 h.

conclusionsIndividuals with severe AUD exhibit heterogeneity across many risk domains, particularly for alcohol-related measures. This heterogeneity can be captured through the ascertainment of study participants via diverse modalities, improving representativeness and potentially facilitating gene identification efforts.

Indexed as

AlcoholismGenetic Predisposition to DiseasePhenotypeAdultFemaleGenetic Risk ScoreHumansMaleMiddle AgedSeverity of Illness Indexalcohol use disorderascertainmentcomorbiditypolygenic score

Identifiers

PMID41802851
PMCPMC12971253

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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.