Kaitlyn Mazzilli

M.P.H

National Cancer Institute

Research Analyst

PLCO (Learn more about this study)

PLCO-454

Feb 13, 2019

Self-reported dietary intake and serum metabolite correlations

Many epidemiological studies rely on self-reported diet measures to assess food and nutrient intake, resulting in attenuated associations between diet and disease, and some bias. Metabolomics is a developing field that has proven useful for detecting new biomarkers for diet, which may help to remedy some of these concerns. We propose to utilize the FFQ and serum metabolite data collected from PLCO to identify new candidate dietary biomarkers, an approach that has been successful in the past for uncovering new biomarkers that were ultimately validated in feeding studies. This proposal is distinct from prior projects, however, in that we are assessing a new panel of metabolites (N=350 metabolites from the Broad Institute) that we have not yet examined in relation to diet.

To identify serum metabolites that are statistically significantly correlated with self-reported dietary intake.

We will evaluate the Pearson correlations between known metabolites and individual foods, beverages, and vitamin supplements (N=55), adjusted for age, sex, smoking status, and total energy intake (kcal/d). The threshold for statistical significance will be Bonferroni-adjusted (a=0.05/(55*350)= 2.60 x10-6).