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A two-stage testing strategy for detecting genes×environment interactions in association studies
Identifying gene×environment (G×E) interactions, especially when rare variants are included in genome-wide association studies, is a major challenge in statistical genetics. However, the detection of G×E interactions is very important for understanding the etiology of complex diseases. Although curr...
Autores principales: | Zhou, Jiabin, Li, Shitao, Zhou, Ying, Sheng, Xiaona |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496220/ https://www.ncbi.nlm.nih.gov/pubmed/34568910 http://dx.doi.org/10.1093/g3journal/jkab220 |
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