Evidence map›Paper›PMID 31592155›Full record

ArticleEndocrinology, diabetes & metabolism2019

Gene-diet quality interactions on haemoglobin A1c and type 2 diabetes risk: The Airwave Health Monitoring Study.

Rebeca Eriksen, Rachel Gibson, Maria Aresu, Andy Heard, Queenie Chan, Evangelos Evangelou, He Gao, Paul Elliott, Gary Frost

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Rebeca EriksenNutrition and Dietetic Research Group, Faculty of Medicine Imperial College London UK.ORCID https://orcid.org/0000-0001-7051-6270
Rachel GibsonNutrition and Dietetic Research Group, Faculty of Medicine Imperial College London UK.
Maria AresuDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health Imperial College London UK.
Andy HeardDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health Imperial College London UK.
Queenie ChanDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health Imperial College London UK.
Evangelos EvangelouDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health Imperial College London UK.
He GaoDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health Imperial College London UK.
Paul ElliottDepartment of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health Imperial College London UK.
Gary FrostNutrition and Dietetic Research Group, Faculty of Medicine Imperial College London UK.
MRC Centre for Environment and HealthBritish Dietetic Association · GB

Funding

Medical Research Council MR/L01341X/1Medical Research Council MR/L01632X/1Medical Research Council MR/R023484/1
6 · The paper itself

Abstract

introductionType 2 diabetes (T2D) is multifactorial involving lifestyle, environmental and genetic risk factors. This study aims to investigate the impact of genetic interactions with alcohol and diet quality on glycated haemoglobin A1c (HbA1c) independent of obesity, in a British population.

methodsCross-sectional study of 14 089 white British participants from Airwave Health Monitoring Study and a subsample of 3733 participants with dietary data. A T2D genetic risk score (GRS) was constructed, and its interactions with diet on HbA1c were assessed.

resultsGRS was associated with a higher HbA1c% (

conclusionThe genetic effect on HbA1c was almost doubled in obese individuals, compared with those with a healthy weight, and independent of weight, there was a modest offset on HbA1c in high-genetic-risk individuals consuming a diet high in wholegrain. This supports the importance of a healthy diet high in wholegrains and along with maintaining a healthy weight in controlling HbA1c among high-genetic-risk groups.

Indexed as

dietgenetic risktype 2 diabetes

Identifiers

PMID31592155
PMCPMC6775444
OpenAlexW2961431111

What OpenQuestion holds

Textmetadata
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.