SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data

SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data

The explosion of biobank data offers unprecedented opportunities for gene-environment interaction (GxE) studies of complex diseases because of the large sample sizes and the rich collection in genetic and non-genetic information. However, the extremely large sample size also introduces new computati...

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Bibliographic Details
Main Authors: Jocelyn T. Chi, Ilse C. F. Ipsen, Tzu-Hung Hsiao, Ching-Heng Lin, Li-San Wang, Wan-Ping Lee, Tzu-Pin Lu, Jung-Ying Tzeng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Genetics
Subjects:
gene-based GxE test for biobank data
GxE collapsing test for biobank data
GxE test for large-scale sequencing data
scalable GEI test
gene-environment variance component test
gene-environment kernel test
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.710055/full

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https://www.frontiersin.org/articles/10.3389/fgene.2021.710055/full

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