The case-only design is a powerful approach to detect interactions but should be used with caution

We determined the upper bound of the disease prevalence in order not to violate the rare disease assumption for the case-only design. To verify that a case-only design study does not have increased type I error rate, the bias of the interaction term should be estimated. Although the case-only design is a powerful method to detect interactions, prevalences for some complex traits are too high to implement this method without increasing type I error rates.

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Publication Details

Journal
BMC Genomics
Published
2025-03-06
DOI
https://doi.org/10.1186/s12864-025-11318-1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

The case-only design is a powerful approach to detect interactions but should be used with caution

Gao T. Wang, Andrew Thomas DeWan, Suzanne M. Leal, Rui Dong
BMC Genomics
Genetic Associations and Epidemiology
article

The case-only design is a powerful approach to detect interactions but should be used with caution

Gao T. Wang, Andrew Thomas DeWan, Suzanne M. Leal, Rui Dong
article en

Abstract

We determined the upper bound of the disease prevalence in order not to violate the rare disease assumption for the case-only design. To verify that a case-only design study does not have increased type I error rate, the bias of the interaction term should be estimated. Although the case-only design is a powerful method to detect interactions, prevalences for some complex traits are too high to implement this method without increasing type I error rates.

BMC GenomicsVol. 26(1)
Columbia University Irving Medical Center (US)
Openalex Percentile: Top 95%
Genetic Associations and Epidemiology
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