Lin Chen

Associate Professor

University of Chicago

United States

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Lin Chen is an Associate Professor at the University of Chicago, USA. His research interests include integrative Mendelian randomization, DNA methylation in prostate cancer, and the effects of genetic variation on complex traits. Recent publications reflect his focus on the interactions between genetic factors and health outcomes, particularly in diverse populations.

Articles (11)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2021

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2020

Collaborators (5)

Muhammad Kibriya

Research Associate Professor

University of Chicago

UNITED STATES

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Donald J Vander Griend

UNITED STATES

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Russell Z. Szmulewitz

University of Chicago

UNITED STATES

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Heather Nelson

University of Minnesota

UNITED STATES

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Jiebiao Wang

University of Pittsburgh

UNITED STATES

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Lin Chen

Research Interests

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About

Articles (11)

Integrative Mendelian randomization for detecting exposure-by-group interactions using group-specific and combined summary statistics

Differential DNA Methylation in the Benign and Cancerous Prostate Tissue of African American and European American Men

The Impact of Inherited Genetic Variation on DNA Methylation in Prostate Cancer and Benign Tissues of African American and European American Men

An integrative multi-context Mendelian randomization method for identifying risk genes across human tissues

Integrative cross-omics and cross-context analysis elucidates molecular links underlying genetic effects on complex traits

Alternative splicing induces sample-level variation in gene–gene correlations

Sequencing-based fine-mapping and in silico functional characterization of the 10q24.32 arsenic metabolism efficiency locus across multiple arsenic-exposed populations

DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits

Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology

CCmed: cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression

Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits

Collaborators (5)

Muhammad Kibriya

Donald J Vander Griend

Russell Z. Szmulewitz

Heather Nelson

Jiebiao Wang

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