Related Experiment Video
Updated: Jan 23, 2026

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
Published on: September 20, 2022
Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective
Su H Chu1, Mengna Huang2, Rachel S Kelly3
1Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. su.chu@channing.harvard.edu.
Abstract:
It is not controversial that study design considerations and challenges must be addressed when investigating the linkage between single omic measurements and human phenotypes. It follows that such considerations are just as critical, if not more so, in the context of multi-omic studies. In this review, we discuss (1) epidemiologic principles of study design, including selection of biospecimen source(s) and the implications of the timing of sample collection, in the context of a multi-omic investigation, and (2) the strengths and limitations of various techniques of data integration across multi-omic data types that may arise in population-based studies utilizing metabolomic data.
More Related Videos
Related Concept Videos
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Statistical Methods for Analyzing Epidemiological Data
Confounding in Epidemiological Studies
Bias in Epidemiological Studies
Design Example: Setting a Curve Using Design Data
Analysis of Population Pharmacokinetic Data

