Evidence map›Paper›PMID 41436735›Full record

ArticleNature communications2025

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

Yijun Fan, Jie Chen, Zirui Fan, Julio Chirinos, Jason L Stein, Patrick F Sullivan, Rujin Wang, Ajay Nadig, David Y Zhang, Shuai Huang and 13 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Yijun FanDepartment of Statistics, University of Chicago, Chicago, IL, USA.
Jie ChenDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zirui FanDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA.
Julio ChirinosDivision of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Jason L SteinDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0003-4829-0513
Patrick F SullivanDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0002-6619-873X
Rujin WangRegeneron Genetics Center, Tarrytown, NY, USA.ORCID http://orcid.org/0000-0002-1632-446X
Ajay NadigDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9634-2141
David Y ZhangDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-1377-9829
Shuai HuangDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zhiwen JiangDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-8841-618X
Peter Yi GuanDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Xinjie QianDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ting LiDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Haoyue LiDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Zehui SunDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0009-0008-3442-0237
Marylyn D RitchieDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-1208-1720
Joan M O'BrienScheie Eye Institute, University of Pennsylvania, Philadelphia, PA, USA.
Walter WitscheyDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-1669-2120
Daniel J RaderDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-9245-9876
Tengfei LiDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-6142-3865
Hongtu ZhuDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. htzhu@email.unc.edu.ORCID http://orcid.org/0000-0002-6781-2690
Bingxin ZhaoDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA. bxzhao@upenn.edu.ORCID http://orcid.org/0000-0002-0979-7891

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mark D Shen · 2020 to 2026
$9.7M
Unified and fair multimodal representation learning for autoimmune diseasesOT2OD038045 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Saira Z Sheikh · 2024 to 2026
$6.0M
Construction and Application of Comprehensive Knowledge Graphs for Alzheimer's DiseaseR01AG085581 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, Hongtu Zhu · 2024 to 2026
$3.7M
Mapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6M
A comprehensive imaging genetics framework for osteoarthritis researchR01AR082684 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NIETHAMMER, MARC, ZHU, HONGTU · 2024 to 2025
$1.4M
Shared neural basis and genetic architecture of psychiatric disordersR01MH136055 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Bingxin Zhao · 2025 to 2026
$1.3M
SCH: Novel Multi-View Statistical Machine Learning for Alzheimer's DiseaseRF1AG098697 · NIA · NEW YORK UNIVERSITY · PI SHU, HAI · 2025 to 2025
$1.0M
Infant Cognitive Growth Prediction via Centile-based Brain Development and Meta MatchingR21HD120911 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, TENGFEI · 2025 to 2025
$414k
Tracking brain structural trajectories for early detection and prognosis of Alzheimer's DiseaseK01AG095286 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Tengfei Li · 2025 to 2026
$282k
NIAMS NIH HHS R01 AR082684NIA NIH HHS K01 AG095286NIA NIH HHS R01 AG085581NIA NIH HHS RF1 AG082938NIA NIH HHS RF1 AG098697NICHD NIH HHS P50 HD103573NICHD NIH HHS R21 HD120911NIGMS NIH HHS T32 GM144273NIH HHS OT2 OD038045NIMH NIH HHS R01 MH136055U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH136055U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) RF1AG082938
6 · The paper itself

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.

Indexed as

BrainGenome-Wide Association StudyQuantitative Trait LociExomeHumansMagnetic Resonance ImagingOrgan SizePhenotypePolymorphism, Single NucleotidePTEN PhosphohydrolaseSpleenPTEN PhosphohydrolasePTEN protein, human

Identifiers

PMID41436735
PMCPMC12820384

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.