Abstract
BACKGROUND: Biomarker variability, which includes within-individual variability (CV(I)), between-individual variability (CV(G)) and methodological variability (CV(P)(+)(A)) is an important determinant of our ability to detect biomarker-disease associations. Estimates of CV(I) and CV(G) may be population specific and little data exists on biomarker variability in diverse Hispanic populations. Hence, we evaluated all 3 components of biomarker variability in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) using repeat blood collections (n=58) and duplicate blood measurements (n=761-929 depending on the biomarker). METHODS: We estimated the index of individuality (II) ((CV(I)+CV(P)(+)(A))/CV(G)) for 41 analytes and evaluated differences in the II across sexes and age groups. RESULTS: Biomarkers such as fasting glucose, triglycerides and ferritin had substantially higher inter-individual variability and lower II in HCHS/SOL as compared to the published literature. We also found significant sex-specific differences in the II for neutrophil count, platelet count, hemoglobin, % eosinophils and fasting glucose. The II for fasting insulin, post oral glucose tolerance test glucose and cystatin C was significantly higher among the 18-44y age group as compared to the 45+y age group. CONCLUSIONS: The implications of these findings for determining biomarker-disease associations in Hispanic populations need to be evaluated in future studies.