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Related Concept Videos

Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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:
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
Longitudinal Research02:20

Longitudinal Research

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...

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Related Experiment Video

Updated: May 21, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Asia Cohort Consortium: challenges for collaborative research.

Minkyo Song1, Betsy Rolland, John D Potter

  • 1Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.

Journal of Epidemiology
|June 8, 2012
PubMed
Summary
This summary is machine-generated.

The Asia Cohort Consortium (ACC) unites over 1 million individuals across Asia to study chronic diseases, focusing on gene-environment interactions. This large-scale research aims to generalize findings beyond Western populations.

Related Experiment Videos

Last Updated: May 21, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Area of Science:

  • Epidemiology
  • Genetics
  • Public Health

Background:

  • Chronic diseases necessitate large-scale studies for investigating complex causes.
  • Research in diverse, non-Western populations is crucial for generalizable findings.
  • The Asia Cohort Consortium (ACC) was established to address these needs.

Purpose of the Study:

  • To describe the Asia Cohort Consortium (ACC) and its collaborative research efforts.
  • To investigate gene-environment interactions in disease etiology.
  • To expand epidemiological research beyond Western countries.

Main Methods:

  • The ACC is a collaborative cancer cohort research project initiated in 2004.
  • It involves over 1 million healthy individuals from various Asian countries and the US.
  • Data harmonization and standardized protocols are key methodological aspects.

Main Results:

  • The ACC has published 3 articles in 2011.
  • These articles focus on body mass index, smoking, and alcohol's impact on mortality, diabetes, and small intestine cancer.
  • Initial findings highlight the roles of lifestyle factors in major health outcomes.

Conclusions:

  • The ACC represents a significant resource for studying chronic diseases in diverse Asian populations.
  • Challenges include data harmonization, ethical considerations, and funding.
  • Continued collaboration is essential for advancing research on gene-environment interactions and disease prevention.