Related Experiment Video
Updated: Jul 14, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
The emergence of biobanks: practical design considerations for large population-based studies of gene-environment
Robert L Davis1, Muin J Khoury
1Office of Genomics and Disease Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. rad2@cdc.gov
Abstract:
The completion of the human genome project has spurred new thinking about launching large-scale cohort studies; as proposed, these studies will differ from past large-scale cohort studies and will focus primarily on how genetic variation interacts with environmental exposures to affect the risk for common human diseases. There is no single 'best design' for large-scale studies of gene-environment interactions. Some studies are best performed in cohort studies where unbiased information can be collected on individuals years before disease onset. Other studies may be most efficiently done with a case-control design using currently available automated data. Population-based biobanks with nested case-control or case-cohort studies offer distinct advantages to some of the resource-intensive large-scale cohort studies under consideration, and may be more acceptable to many of the countries around the world currently considering such projects.
Related Concept Videos
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Biostatistics: Overview
Discrete variables are...
Gene-Environment Interactions
Genomics
Analysis of Population Pharmacokinetic Data

