Related Experiment Video
Updated: Aug 25, 2025
07:48
Working with Human Tissues for Translational Cancer Research
Published on: November 26, 2015
10.0K
Population designations in biomedical research: Limitations and perspectives.
Caroline Gombault1, Guillaume Grenet1,2, Laure Segurel1
1Laboratoire de Biométrie et Biologie Evolutive, Université Lyon 1, UMR CNRS 5558, Lyon, France.
HLA
|October 19, 2022
Summary
Biomedical research struggles with inconsistent and imprecise subpopulation labeling, hindering the study of disease variations. Developing standardized, scientifically rigorous labeling practices is crucial for accurate research on human heterogeneity.
Area of Science:
- Biomedical research
- Population genetics
- Medical ethics
Background:
- Population differences in disease frequency, severity, and treatment response are critical in biomedical research.
- Current subpopulation labeling practices in clinical research lack rigor, exhibiting inconsistencies and methodological issues.
- Broad and heterogeneous group designations (e.g., "Black", "Asian") and obsolete terms (e.g., "Caucasian") are imprecise.
Purpose of the Study:
- To highlight the critical need for more rigorous and scientifically accurate subpopulation labeling in biomedical research.
- To address the inconsistencies and methodological flaws in reporting population differences.
- To advocate for improved policies and practices for labeling human heterogeneity in clinical studies.
Main Methods:
- Critical analysis of current practices in subpopulation labeling within biomedical and clinical research.
- Review of the heterogeneity and imprecision associated with common demographic labels like "race" and "ethnicity".
- Exploration of the potential for other factors to be overlooked when "race/ethnicity" is used as a proxy.
Main Results:
- Subpopulation labeling is characterized by significant disparities, methodological issues, and a lack of scientific rigor.
- Existing labels are often broad, heterogeneous, and imprecise, failing to reflect scientific hypotheses accurately.
- The use of "race/ethnicity" can distract from investigating other crucial factors like environmental exposures and cultural habits.
Conclusions:
- There is an urgent need to promote adequate and scientifically reflective labeling practices in biomedical research.
- Developing consensus and policies for subpopulation labeling requires interdisciplinary collaboration among geneticists, sociologists, anthropologists, and ethicists.
- Improved labeling is essential for accurately understanding and addressing human heterogeneity in health and disease.
More Related Videos
Related Concept Videos
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
159
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
159
01:12Analysis of Population Pharmacokinetic Data
350
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
350
02:20Longitudinal Research
12.1K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.1K
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
79
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
79
01:29Bias in Epidemiological Studies
518
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
518
01:25What is Population Genetics?
59.2K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
59.2K