HisCoM-GxE: Hierarchical Structural Component Analysis of Gene-Based Gene-Environment Interactionsopen access
- Authors
- Choi, Sungkyoung; Lee, Sungyoung; Huh, Iksoo; Hwang, Heungsun; Park, Taesung
- Issue Date
- Sep-2020
- Publisher
- Multidisciplinary Digital Publishing Institute (MDPI)
- Keywords
- gene& #8211; environment interactions; generalized structured component analysis (GSCA); genome-wide association study (GWAS)
- Citation
- International Journal of Molecular Sciences, v.21, no.18, pp.1 - 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- International Journal of Molecular Sciences
- Volume
- 21
- Number
- 18
- Start Page
- 1
- End Page
- 12
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/926
- DOI
- 10.3390/ijms21186724
- ISSN
- 1661-6596
- Abstract
- Gene-environment interaction (GxE) studies are one of the most important solutions for understanding the "missing heritability" problem in genome-wide association studies (GWAS). Although many statistical methods have been proposed for detecting and identifying GxE, most employ single nucleotide polymorphism (SNP)-level analysis. In this study, we propose a new statistical method, Hierarchical structural CoMponent analysis of gene-based Gene-Environment interactions (HisCoM-GxE). HisCoM-GxE is based on the hierarchical structural relationship among all SNPs within a gene, and can accommodate all possible SNP-level effects into a single latent variable, by imposing a ridge penalty, and thus more efficiently takes into account the latent interaction term of GxE. The performance of the proposed method was evaluated in simulation studies, and we applied the proposed method to investigate gene-alcohol intake interactions affecting systolic blood pressure (SBP), using samples from the Korea Associated REsource (KARE) consortium data.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > ERICA 수리데이터사이언스학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/926)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.