Evidence map›Paper›PMID 42897328›Full record

ReviewNature reviews. Neurology2026

Multi-organ imaging genetics: towards an integrated view of brain, body and brain diseases.

Zirui Fan, Bingxin Zhao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Zirui FanDepartment of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA.
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

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population-based cohorts that combine genetic data with whole-body multimodal imaging are transforming how we map the genetic architecture of the brain in its broader bodily context. Historically, imaging genetics has focused largely on single organs, especially the brain, with separate efforts targeting the heart, skeleton and other organs for systemic diseases, and limited integration across organ systems. Yet, strong brain-body interactions and the high multimorbidity of brain and systemic diseases highlight the need for a brain-centred multi-organ perspective. Here we introduce the emerging field of brain-focused multi-organ imaging genetics, outlining key data resources and interdisciplinary analytical frameworks for large-scale multi-organ genetic discovery and reviewing the genetic associations between brain diseases and imaging phenotypes across organ systems. We discuss how these advances support a whole-body integrated view of brain health and disease and how they are beginning to reshape clinical translation for neurological conditions. We outline a roadmap for agentic artificial intelligence co-scientists that work alongside human researchers throughout the scientific discovery process, arguing that such systems will be essential for achieving an integrated understanding of brain health and disease, both as tools for individual researchers and as a collaborative infrastructure for the whole field.

Identifiers

What OpenQuestion 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 OpenQuestion graph.