Mapping rare protein-coding variants on multi-organ imaging traits

Human organ structure and function are important endophenotypes for clinical outcomes. Genome-wide association studies (GWAS) have identified numerous common variants associated with phenotypes derived from magnetic resonance imaging (MRI) of the brain and body. However, the role of rare protein-coding variations affecting organ size and function is largely unknown. Here we present an exome-wide association study that evaluates 596 multi-organ MRI traits across over 50,000 individuals from the UK Biobank. We identified 107 variant-level associations and 224 gene-based burden associations (67 unique gene-trait pairs) across all MRI modalities, including PTEN with total brain volume, TTN with regional peak circumferential strain in the heart left ventricle, and TNFRSF13B with spleen volume. The singleton burden model and AlphaMissense annotations contributed 8 unique gene-trait pairs including the association between an approved drug target gene of KCNA5 and brain functional activity. The identified rare coding signals elucidate some shared genetic effects across organs, prioritize previously identified GWAS loci, and are enriched for drug targets. Overall, we demonstrate how rare variants enhance our understanding of genetic effects on human organ morphology and function and their connections to complex diseases.

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Publication Details

Journal
Nature Communications
Published
2025-12-23
DOI
https://doi.org/10.1038/s41467-025-67431-y
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping rare protein-coding variants on multi-organ imaging traits

Julio C Chirinos, X. Qian, Jason L. Stein, Rujin Wang et al.
Nature Communications
Genetic Associations and Epidemiology
article

Mapping rare protein-coding variants on multi-organ imaging traits

Julio C Chirinos, X. Qian, Jason L. Stein, Rujin Wang, Bingxin Zhao, Walter R T Witschey, Yijun Fan, Hongtu Zhu, Zirui Fan, Joan M. O’Brien, Shuai Huang, Zhiwen Jiang, Jie Chen, Patrick F. Sullivan, Ajay Nadig, Marylyn D. Ritchie, Zehui Sun, David Y. Zhang, Ting Li, Tengfei Li, Haoyue Li, Daniel J. Rader, Peter Yi Guan
article en

Abstract

Human organ structure and function are important endophenotypes for clinical outcomes. Genome-wide association studies (GWAS) have identified numerous common variants associated with phenotypes derived from magnetic resonance imaging (MRI) of the brain and body. However, the role of rare protein-coding variations affecting organ size and function is largely unknown. Here we present an exome-wide association study that evaluates 596 multi-organ MRI traits across over 50,000 individuals from the UK Biobank. We identified 107 variant-level associations and 224 gene-based burden associations (67 unique gene-trait pairs) across all MRI modalities, including PTEN with total brain volume, TTN with regional peak circumferential strain in the heart left ventricle, and TNFRSF13B with spleen volume. The singleton burden model and AlphaMissense annotations contributed 8 unique gene-trait pairs including the association between an approved drug target gene of KCNA5 and brain functional activity. The identified rare coding signals elucidate some shared genetic effects across organs, prioritize previously identified GWAS loci, and are enriched for drug targets. Overall, we demonstrate how rare variants enhance our understanding of genetic effects on human organ morphology and function and their connections to complex diseases.

Nature CommunicationsVol. 17(1)
Broad Institute (US), University of North Carolina at Chapel Hill (US), Harvard University (US), Penn Presbyterian Medical Center (US), Regeneron (United States) (US), Hospital of the University of Pennsylvania (US), University of Chicago (US), Massachusetts General Hospital (US), Translational Therapeutics (United States) (US), Penn Center for AIDS Research (US), Imaging Center (US), University of Pennsylvania (US), Philadelphia University (US)
National Institute of Mental Health
Good health and well-being
Openalex Percentile: Top 25%
Genetic Associations and Epidemiology
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