Evidence map›Paper›PMID 36297114›Full record

ArticleNutrients2022

Genome-Wide Association Analysis of Over 170,000 Individuals from the UK Biobank Identifies Seven Loci Associated with Dietary Approaches to Stop Hypertension (DASH) Diet.

Olatz Mompeo, Maxim B Freidin, Rachel Gibson, Pirro G Hysi, Paraskevi Christofidou, Eran Segal, Ana M Valdes, Tim D Spector, Cristina Menni, Massimo Mangino

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. 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
2.1field-weighted citation impact, top 12% 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, 13 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

10 authors at 3 institutions in 2 countries.

Olatz MompeoDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.
Maxim B FreidinDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.
Rachel GibsonDepartment of Nutritional Sciences, King's College London, London SE1 9NH, UK.ORCID 0000-0002-5823-6468
Pirro G HysiDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.
Paraskevi ChristofidouDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.
Eran SegalDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Ana M ValdesDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.ORCID 0000-0003-1141-4471
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.
Cristina MenniDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.ORCID 0000-0001-9790-0571
Massimo ManginoDepartment of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK.ORCID 0000-0002-2167-7470
King's College London · GBUniversity of Nottingham · GBWeizmann Institute of Science · IL

Funding

British Heart Foundation MR/M016560/1Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/M016560/1Wellcome Trust
6 · The paper itself

Abstract

Diet is a modifiable risk factor for common chronic diseases and mental health disorders, and its effects are under partial genetic control. To estimate the impact of diet on individual health, most epidemiological and genetic studies have focused on individual aspects of dietary intake. However, analysing individual food groups in isolation does not capture the complexity of the whole diet pattern. Dietary indices enable a holistic estimation of diet and account for the intercorrelations between food and nutrients. In this study we performed the first ever genome-wide association study (GWA) including 173,701 individuals from the UK Biobank to identify genetic variants associated with the Dietary Approaches to Stop Hypertension (DASH) diet. DASH was calculated using the 24 h-recall questionnaire collected by UK Biobank. The GWA was performed using a linear mixed model implemented in BOLT-LMM. We identified seven independent single-nucleotide polymorphisms (SNPs) associated with DASH. Significant genetic correlations were observed between DASH and several educational traits with a significant enrichment for genes involved in the AMP-dependent protein kinase (AMPK) activation that controls the appetite by regulating the signalling in the hypothalamus. The colocalization analysis implicates genes involved in body mass index (BMI)/obesity and neuroticism (

Indexed as

Dietary Approaches To Stop HypertensionHypertensionInsulinsAdenosine MonophosphateAMP-Activated Protein KinasesBiological Specimen BanksCell Cycle ProteinsDietDNA-Binding ProteinsGenome-Wide Association StudyGlucoseHumansOncogene ProteinsUnited KingdomAdenosine MonophosphateAMP-Activated Protein KinasesCell Cycle ProteinsDNA-Binding ProteinsGlucoseInsulinsMFHAS1 protein, humanOncogene ProteinsDASHgeneticGWA

Identifiers

PMID36297114
PMCPMC9611599
OpenAlexW4307261834

What OpenQuestion holds

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LicenceCC BY
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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.