Evidence map›Paper›PMID 36470817›Full record

ReviewTrends in molecular medicine2023

Imaging genomics: data fusion in uncovering disease heritability.

Katherine Hartmann, Christoph Y Sadée, Ishan Satwah, Francisco Carrillo-Perez, Olivier Gevaert

Open access · greenAbstract readReview
In one paragraph

Review in Trends in molecular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

20 citing papers in PubMed, 22 citations in OpenAlex.

  1. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
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  12. Imaging genomics of cancer: a bibliometric analysis and review.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 2 countries.

Katherine HartmannDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA. Electronic address: katherine.hartmann@pennmedicine.upenn.edu.
Christoph Y SadéeStanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA.
Ishan SatwahCollege of Medicine, Drexel University, Philadelphia, PA, USA.
Francisco Carrillo-PerezStanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA; Department of Computer Architecture and Technology, University of Granada. C.I.T.I.C., Granada, Spain.
Olivier GevaertStanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA. Electronic address: ogevaert@stanford.edu.
Drexel University · USHospital of the University of Pennsylvania · USStanford Medicine · USStanford University · USUniversidad de Granada · ES

Funding

Multi-scale modeling of glioma for the prediction of treatment response, treatment monitoring and treatment allocationR01CA260271 · NCI · STANFORD UNIVERSITY · PI GEVAERT, OLIVIER · 2021 to 2025
$3.1M
NCI NIH HHS R01 CA260271
6 · The paper itself

Abstract

Sequencing of the human genome in the early 2000s enabled probing of the genetic basis of disease on a scale previously unimaginable. Now, two decades later, after interrogating millions of markers in thousands of individuals, a significant portion of disease heritability still remains hidden. Recent efforts to unravel this 'missing heritability' have focused on garnering new insight from merging different data types, including medical imaging. Imaging offers promising intermediate phenotypes to bridge the gap between genetic variation and disease pathology. In this review we outline this fusion and provide examples of imaging genomics in a range of diseases, from oncology to cardiovascular and neurodegenerative disease. Finally, we discuss how ongoing revolutions in data science and sharing are primed to advance the field.

Indexed as

Genetic VariationNeurodegenerative DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansImaging GenomicsPhenotypeGWASimaging genomicsmissing heritabilityradiogenomics

Identifiers

PMID36470817
PMCPMC10507799
OpenAlexW4310786545

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.