| Title: | 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 |
| Journal: | Nutrients |
| Published: | 21 Oct 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36297114/ |
| DOI: | https://doi.org/10.3390/nu14204431 |
| URL: | https://www.mdpi.com/2072-6643/14/20/4431/pdf?version=1666354514 |
Publication 10613
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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 (ARPP21, RP11-62H7.2, MFHAS1, RHEBL1). The Mendelian randomisation analysis suggested that increased DASH score, which reflect a healthy diet style, is causal of lower glucose, and insulin levels. These findings further our knowledge of the pathways underlying the relationship between diet and health outcomes. They may have significant implications for global public health and provide future dietary recommendations for the prevention of common chronic diseases.</p>
10 Authors
- Olatz Mompeo
- Maxim B. Freidin
- Rachel Gibson
- Pirro G. Hysi
- Paraskevi Christofidou
- Eran Segal
- Ana M. Valdes
- Tim D. Spector
- Cristina Menni
- Massimo Mangino
1 Application
| Application ID | Title |
|---|---|
| 28784 | A statistical framework for personalized nutrition recommendations based on genetic and anthropometric data. |
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