MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets

Lei Hou; Hao Chen; Xiao-Hua Zhou

doi:10.1038/s41467-025-62823-6

MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets

L Lei Hou (Key Laboratory of Functional Polymer Materials of Ministry of Education; Tianjin Key Laboratory of Functional Polymer Materials; Institute of Polymer Chemistry, College of Chemistry) H Hao Chen X Xiao-Hua Zhou

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Article Details

Journal Nature Communications

Volume / Issue Vol. 16, Issue 1

Published August 18, 2025

DOI 10.1038/s41467-025-62823-6

ISSN 2041-1723

Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (3)

L

Lei Hou

Key Laboratory of Functional Polymer Materials of Ministry of Education; Tianjin Key Laboratory of Functional Polymer Materials; Institute of Polymer Chemistry, College of Chemistry

H

Hao Chen

X

Xiao-Hua Zhou

MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets

Article Details

Journal Info

Authors (3)

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