Evidence map›Paper›PMID 40093208›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Genetic drivers and clinical consequences of mosaic chromosomal alterations in 1 million individuals.

Kun Zhao, Yash Pershad, Hannah M Poisner, Xiaolong Ma, Kali Quade, Caitlyn Vlasschaert, Taralynn Mack, Nikhil K Khankari, Kelly von Beck, James Brogan and 8 more

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

18 authors.

Kun ZhaoDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-2811-4419
Yash PershadDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-2282-1403
Hannah M PoisnerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-1652-3642
Xiaolong MaDivision of Biostatistics, Data Science Institute and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Kali QuadeDivision of Biostatistics, Data Science Institute and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Caitlyn VlasschaertDepartment of Medicine, Queen's University, Kingston, Ontario, Canada.ORCID 0009-0003-8466-7602
Taralynn MackDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-1043-2950
Nikhil K KhankariDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-8802-4431
Kelly von BeckDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0001-8880-5652
James BroganDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Ashwin KishtagariDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0003-1149-4571
Robert W CortyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-6787-9051
Yajing LiDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Yaomin XuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-3752-4006
Alexander P ReinerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center. Seattle, WA, USA.
Paul ScheetDepartment of Epidemiology, University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-5173-7497
Paul L AuerDivision of Biostatistics, Data Science Institute and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Alexander G BickDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0001-5824-9595

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Establishing the dynamics of lymphoid clonal hematopoiesis and its aging-related disease consequencesR01AG083736 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul L. Auer, Alexander Bick · 2023 to 2026
$2.8M
Targeting Clonal Hematopoiesis of Indeterminate Potential Using Human GeneticsDP5OD029586 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BICK, ALEXANDER · 2020 to 2024
$2.3M
NHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL120393NIA NIH HHS R01 AG083736NIGMS NIH HHS T32 GM007347NIH HHS DP5 OD029586
6 · The paper itself

Abstract

Mosaic chromosomal alterations of the autosomes (aut-mCAs) are large structural somatic mutations which cause clonal hematopoiesis and increase cancer risk. Here, we detected aut-mCAs in 1,011,269 participants across four biobanks. Through integrative analysis of the minimum critical region and inherited genetic variation, we found that proto-oncogenes exclusively drive chromosomal gains, tumor suppressors drive losses, and copy-neutral events can be driven by either. We identified three novel inherited risk loci in

Identifiers

PMID40093208
PMCPMC11908284

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.