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A note on multiple testing procedures in linkage analysis.

N Risch1

  • 1Department of Epidemiology, Yale University School of Medicine, New Haven, CT.

American Journal of Human Genetics
|June 1, 1991
PubMed
Summary
This summary is machine-generated.

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Testing multiple genetic markers in linkage analysis reduces false positives. However, complex inheritance or misspecified models can decrease power and inflate false positives, especially in small samples.

Area of Science:

  • Genetics
  • Statistical genetics

Background:

  • Multiple testing procedures are debated in genetic linkage analysis.
  • Previous claims suggested increased false positives with multiple marker testing.

Purpose of the Study:

  • To re-examine the impact of multiple testing procedures on linkage analysis.
  • To clarify the effects on false-positive rates and statistical power.

Main Methods:

  • Analysis of posterior false-positive rates under various genetic models.
  • Evaluation of the influence of sample size and model misspecification.

Main Results:

  • Testing multiple markers decreases posterior false-positive rates for significant tests.
  • Complex inheritance or misspecified models can reduce power and inflate false positives, particularly in small sample sizes.

Related Experiment Videos

  • Testing multiple genetic models inflates the posterior false-positive rate.

    • Conclusions:

    • Multiple marker testing is generally beneficial for reducing false positives in linkage analysis.
    • Caution is advised when dealing with complex inheritance or misspecified models, especially with small sample sizes.
    • A correction method is proposed for situations involving multiple genetic model testing.