Evidence map›Paper›PMID 40950493›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Exposure accumulation drives age-dependent disease architectures and polygenic risk scores.

Xilin Jiang, Alkes L Price, John Danesh, Gil McVean, Michael Inouye, Sarah Urbut, Arun Durvasula

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

7 authors.

Xilin JiangBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge UK.ORCID 0000-0001-6773-9182
Alkes L PriceDepartment of Epidemiology, Harvard T.H. Chan School of Public Health Boston MA USA.ORCID 0000-0002-2971-7975
John DaneshBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge UK.ORCID 0000-0003-1158-6791
Gil McVeanEllison Institute of Technology, Oxford, UK.ORCID 0000-0002-5012-4162
Michael InouyeBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge UK.ORCID 0000-0001-9413-6520
Sarah UrbutBroad Institute, Cambridge, MA USA.ORCID 0000-0002-1135-9647
Arun DurvasulaDivision of Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.ORCID 0000-0003-0631-3238

Funding

Leveraging diverse ancestry and environmental variables to understand the evolution and architecture of complex traitsR35GM160467 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arun Durvasula · 2025 to 2026
$827k
NIGMS NIH HHS R35 GM160467Wellcome Trust
6 · The paper itself

Abstract

Our understanding of the dependence of the genetic and environmental architecture of common diseases on age is incomplete. Here, we use longitudinal data to separate age-dependent genetic and environmental variance across complex traits and diseases. When applying our approach to 16 UK Biobank quantitative traits (average

Identifiers

PMID40950493
PMCPMC12424925

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.