Pathway-based genetic association analysis for overdispersed count data
© 2025 Informa UK Limited, trading as Taylor & Francis Group.
| Publié dans: | Journal of applied statistics. - 1991. - 52(2025), 12 vom: 03., Seite 2306-2320 |
|---|---|
| Auteur principal: | |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2025
|
| Accès à la collection: | Journal of applied statistics |
| Sujets: | Journal Article Overdispersion association analysis mixed effects negative binomial regression somatic mutations |
| Résumé: | © 2025 Informa UK Limited, trading as Taylor & Francis Group. Overdispersion is a common phenomenon in genetic data, such as gene expression count data. In genetic association studies, it is important to investigate the association between a gene expression and a set of genetic variants from a pathway. However, existing approaches for pathway analysis are primarily designed for continuous and binary outcomes and are not applicable to overdispersed count data. In this paper, we propose a hierarchical approach to analyze the association between an overdispersed count response and a set of low-frequency genetic variants in negative binomial regression. We derive score-type test statistics for both fixed and random effects of genetic variants, and further introduce a novel procedure for efficiently combining these two statistics for global testing. Through simulation studies, we demonstrate that the proposed method tends to be more powerful than existing methods under a wide range of scenarios. Additionally, we apply the proposed method to a colorectal cancer study, demonstrating its power in identifying associations between gene expression and somatic mutations |
|---|---|
| Description: | Date Revised 10.09.2025 published: Electronic-eCollection Citation Status In-Process |
| ISSN: | 0266-4763 |
| DOI: | 10.1080/02664763.2025.2460073 |