Using genetic variation to disentangle the complex relationship between food intake and health outcomes.
PLoS Genet
; 18(6): e1010162, 2022 06.
Article
de En
| MEDLINE
| ID: mdl-35653391
ABSTRACT
Diet is considered as one of the most important modifiable factors influencing human health, but efforts to identify foods or dietary patterns associated with health outcomes often suffer from biases, confounding, and reverse causation. Applying Mendelian randomization in this context may provide evidence to strengthen causality in nutrition research. To this end, we first identified 283 genetic markers associated with dietary intake in 445,779 UK Biobank participants. We then converted these associations into direct genetic effects on food exposures by adjusting them for effects mediated via other traits. The SNPs which did not show evidence of mediation were then used for MR, assessing the association between genetically predicted food choices and other risk factors, health outcomes. We show that using all associated SNPs without omitting those which show evidence of mediation, leads to biases in downstream analyses (genetic correlations, causal inference), similar to those present in observational studies. However, MR analyses using SNPs which have only a direct effect on the exposure on food exposures provided unequivocal evidence of causal associations between specific eating patterns and obesity, blood lipid status, and several other risk factors and health outcomes.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Variation génétique
/
Consommation alimentaire
Type d'étude:
Clinical_trials
/
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limites:
Humans
Langue:
En
Journal:
PLoS Genet
Sujet du journal:
GENETICA
Année:
2022
Type de document:
Article
Pays d'affiliation:
Royaume-Uni