Evidence map›Paper›PMID 24292990›Full record

ArticleGenes & nutrition2014

Responses to FTO genetic test feedback for obesity in a sample of overweight adults: a qualitative analysis.

S F Meisel, J Wardle

Open access · bronzeAbstract read
In one paragraph

Article in Genes & nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. 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

2 authors at 1 institution in 2 countries.

S F MeiselDepartment of Epidemiology and Public Health, Health Behavior Research Centre, University College London, Gower Street, London, WC1E 6BT, UK, susanne.meisel.09@ucl.ac.uk.
J Wardle
UCL Australia · AU

Funding

Cancer Research UK 14133
6 · The paper itself

Abstract

Current evidence indicates that genetic testing for obesity risk has limited affective or behavioral impact, but few studies have explored the effects among individuals who self-identify as having weight problems. Here, we report findings from in-depth telephone interviews with seven overweight or obese volunteers who were genotyped for one weight-related gene (FTO), which may offer interesting insights into motivations to seek out genetic testing and immediate reactions to it. All participants had a BMI > 25. The gene test identified one participant as homozygous for the 'higher-risk' variant (AA), three heterozygous (AT), and three homozygous for the 'lower-risk' variant (TT) of FTO. All participants said they took part to find an explanation for their personal struggle with weight control. Those with one or two higher-risk variants experienced relief and saw the result as confirming their private assumption that they were susceptible to weight gain for reasons perceived as 'external' to them. However, at the same time, they described themselves as more motivated to overcome their genetic predisposition. Those with lower-risk variants reported brief disappointment, but then focused on alternative explanations, reinforcing the multifactorial nature of obesity. Despite objectively low 'information value,' all individuals derived some 'personal' benefit from FTO genetic test feedback. However, improving education about the multifactorial nature of complex conditions is important to decrease polarized thinking and associated genetic determinism and stigma to derive the greatest benefits of novel genetic technologies for individuals and their health.

Identifiers

PMID24292990
PMCPMC3896618
OpenAlexW2024903784

What OpenQuestion holds

Textmetadata
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.