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GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data

Crossref DOI link: https://doi.org/10.1186/s13059-021-02403-1

Published Online: 2021-06-21

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shin, Jisu

Lee, Sang Hong https://orcid.org/0000-0001-9701-2718
Funding

Funding for this research was provided by:

Australian Research Council (DP 190100766, FT 160100229)
License Information

Text and Data Mining valid from 2021-06-21

Version of Record valid from 2021-06-21
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Article History

Received: 1 July 2020

Accepted: 4 June 2021

First Online: 21 June 2021

Declarations

:

: The current study was approved by the University of South Australia Human Research Ethics Committee. The ARIC study was approved by the institutional review boards of all participating institutions, including the University of Minnesota, Johns Hopkins University, University of North Carolina, University of Mississippi Medical Centre, and Wake Forest University. The UK Biobank was approved by the North West Multi-centre Research Ethics Committee (11/NW/0382). The reference number approved by the UK Biobank is 14575. All UK Biobank and ARIC study participants gave written informed consent.

: The authors declare that they have no competing interests.

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