RMR-ICP: robust Mendelian randomization method accounting for idiosyncratic and correlated pleiotropy with applications to stroke outcomes

Authors

Qing Cheng (ORCID: https://orcid.org/0000-0001-5144-4515)
Jin Liu (ORCID: https://orcid.org/0000-0002-5707-2078)
Yanyan Zhao (ORCID: https://orcid.org/0000-0002-3235-3076)
Wenxin Xu (ORCID: https://orcid.org/0009-0008-0813-5969)
Chan Wang (ORCID: https://orcid.org/0000-0002-1718-5414)

Institutions

Shandong University (CN)
Southwestern University of Finance and Economics (CN)
Chinese University of Hong Kong, Shenzhen (CN)
New York University (US)

Publication Details

Journal: Briefings in Bioinformatics
Published: 2025-08-31
DOI: https://doi.org/10.1093/bib/bbaf508
Primary Topic: Cerebrovascular and Carotid Artery Diseases
Type: article
Field-Weighted Citation Impact: 0.00

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article

RMR-ICP: robust Mendelian randomization method accounting for idiosyncratic and correlated pleiotropy with applications to stroke outcomes

Qing Cheng, Jin Liu, Yanyan Zhao, Wenxin Xu et al.

Aug 31, 2025

Briefings in Bioinformatics

Cerebrovascular and Carotid Artery Diseases

article

RMR-ICP: robust Mendelian randomization method accounting for idiosyncratic and correlated pleiotropy with applications to stroke outcomes

Qing Cheng, Jin Liu, Yanyan Zhao, Wenxin Xu, Chan Wang

August 31, 2025article en

Abstract

No abstract available for this paper.

Briefings in BioinformaticsVol. 26(5)

Shandong University (CN), Southwestern University of Finance and Economics (CN), Chinese University of Hong Kong, Shenzhen (CN), New York University (US)

Openalex Percentile: Top 61%

Cerebrovascular and Carotid Artery Diseases

DOI Open Access PDF OpenAlex

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RMR-ICP: robust Mendelian randomization method accounting for idiosyncratic and correlated pleiotropy with applications to stroke outcomes — Qing Cheng, Jin Liu, et al. · Briefings in Bioinformatics (2025) | TGRS Research Map | TGRS