Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Video Abstracts
  • Reviews
    • View all reviews ...
    • Pancreatic Cancer (Jul 2025)
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • Sex Differences in Medicine (Sep 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Video Abstracts
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Factors affecting statistical power in the detection of genetic association
Derek Gordon, Stephen J. Finch
Derek Gordon, Stephen J. Finch
Published June 1, 2005
Citation Information: J Clin Invest. 2005;115(6):1408-1418. https://doi.org/10.1172/JCI24756.
View: Text | PDF
Review Series

Factors affecting statistical power in the detection of genetic association

  • Text
  • PDF
Abstract

The mapping of disease genes to specific loci has received a great deal of attention in the last decade, and many advances in therapeutics have resulted. Here we review family-based and population-based methods for association analysis. We define the factors that determine statistical power and show how study design and analysis should be designed to maximize the probability of localizing disease genes.

Authors

Derek Gordon, Stephen J. Finch

×

Figure 1

Options: View larger image (or click on image) Download as PowerPoint
Pictorial example of recombination. Left: The 2 pairs of chromosomes (so...
Pictorial example of recombination. Left: The 2 pairs of chromosomes (solid lines, dashed lines) represent the (duplicated) chromosomes in meiosis before recombination takes place. Right: The set of chromosomes after recombination has taken place. The first and last chromosomes are nonrecombinant, since they are identical to chromosomes on the left. The second and third chromosomes on the right are recombinant, since each contains a portion of the chromosomes on the left. Note that the recombination takes place between the first and second locus.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts