Evidence map›Paper›PMID 38699360›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Genomic and phenotypic correlates of mosaic loss of chromosome Y in blood.

Yasminka A Jakubek, Xiaolong Ma, Adrienne M Stilp, Fulong Yu, Jason Bacon, Justin W Wong, Francois Aguet, Kristin Ardlie, Donna Arnett, Kathleen Barnes and 56 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

5 · Who and what money

Authors and funding

66 authors.

Yasminka A Jakubek
Xiaolong Ma
Adrienne M Stilp
Fulong Yu
Jason Bacon
Justin W Wong
Francois Aguet
Kristin Ardlie
Donna Arnett
Kathleen Barnes
Joshua C Bis
Tom Blackwell
Lewis C Becker
Eric Boerwinkle
Russell P Bowler
Matthew J Budoff
April P Carson
Jiawen Chen
Michael H Cho
Josef Coresh
Nancy Cox
Paul S de Vries
Dawn L DeMeo
David W Fardo
Myriam Fornage
Xiuqing Guo
Michael E Hall
Nancy Heard-Costa
Bertha Hidalgo
Marguerite Ryan Irvin
Andrew D Johnson
Eimear E Kenny
Dan Levy
Yun Li
Joao Ac Lima
Yongmei Liu
Ruth J F Loos
Mitchell J Machiela
Rasika A Mathias
Braxton D Mitchell
Joanne Murabito
Josyf C Mychaleckyj
Kari North
Peter Orchard
Stephen Cj Parker
Yash Pershad
Patricia A Peyser
Katherine A Pratte
Bruce M Psaty
Laura M Raffield
Susan Redline
Stephen S Rich
Jerome I Rotter
Sanjiv J Shah
Jennifer A Smith
Aaron P Smith
Albert Smith
Margaret Taub
Hemant K Tiwari
Russell Tracy
Bjoernar Tuftin
Alexander G Bick
Vijay G Sankaran
Alexander P Reiner
Paul Scheet
Paul L Auer

Funding

University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
NIA NIH HHS P30 AG072946
6 · The paper itself

Abstract

Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer's disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole genome sequencing of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program. This approach enabled us to identify differences in mLOY frequencies across populations defined by genetic similarity, revealing a higher frequency of mLOY in the European American (EA) ancestry group compared to those of Hispanic American (HA), African American (AA), and East Asian (EAS) ancestry. Further, we identified two genes (

Identifiers

PMID38699360
PMCPMC11065036

What OpenQuestion holds

Textmetadata
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.