Evidence map›Paper›PMID 33052909›Full record

ArticlePloS one2020

Effects of genetic information on memory for severity of depressive symptoms.

Woo-Kyoung Ahn, Alma Bitran, Matthew Lebowitz

Abstract read
In one paragraph

Article in PloS one, 2020. 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
  2. Article
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

3 authors.

Woo-Kyoung AhnDepartment of Psychology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-5203-2376
Alma BitranDepartment of Psychology, Yale University, New Haven, Connecticut, United States of America.
Matthew LebowitzDepartment of Psychiatry, Columbia University, New York, New York, United States of America.ORCID 0000-0002-5381-3000

Funding

Understanding Implications of Genetic Attributions for AddictionK99HG010084 · NHGRI · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI LEBOWITZ, MATTHEW · 2018 to 2019
$336k
NHGRI NIH HHS K99 HG010084
6 · The paper itself

Abstract

The general public is increasingly aware of the role of genes in causing depression. Recent studies have begun uncovering unintended negative consequences of learning about a person's genetic susceptibility to disorders. Because people tend to believe that genes determine one's identity, having genes related to a disorder can be misinterpreted as equivalent to having the disorder. Consequently, learning that a person is genetically predisposed to depression can make people misremember mild depression as more severe. Participants across three experiments read a target vignette about a character displaying mild depressive symptoms, while descriptions of the character's genetic susceptibility to depression were experimentally manipulated. Participants then read a foil vignette describing a character with more severe depressive symptoms. Afterwards, participants who had learned that the target character was genetically predisposed to depression were comparatively more likely to misremember the target symptoms as being severe, when in fact they were mild. This pattern of results was obtained among both laypeople (Experiments 1 and 2) and practicing master's-level, but not doctoral-level, mental health clinicians (Experiment 3). Given that depression is diagnosed primarily based on a person's memory of depressive symptoms, the current findings suggest that genetic information about depression may lead to over-diagnosis of depression.

Indexed as

AdultDepressionDepressive DisorderFemaleGenetic Predisposition to DiseaseGenetic TestingHumansLearningMaleMemoryPrejudice

Identifiers

PMID33052909
PMCPMC7556482

What OpenQuestion holds

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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.