Evidence map›Paper›PMID 41648402›Full record

ArticlebioRxiv : the preprint server for biology2026

Characterizing the rates and patterns of

Cyril J Versoza, Karen L Bales, Jeffrey D Jensen, Susanne P Pfeifer

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

4 authors.

Cyril J Versoza
Karen L Bales
Jeffrey D Jensen
Susanne P PfeiferORCID 0000-0003-1378-2913

Funding

National Institute on Aging (NIA) ColonyP51OD011107 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Simon J. Atkinson · 2012 to 2026
$191.5M
Characterizing the full spectrum of genomic variation in biomedically-relevant primatesR35GM151008 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Susanne P Pfeifer · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM151008NIH HHS P51 OD011107
6 · The paper itself

Abstract

Although recent advances in genomics have enabled the high-resolution study of whole genomes, our understanding of one of the key evolutionary processes, mutation, still remains limited. In primates specifically, studies have largely focused on humans and their closest evolutionary relatives, the great apes, as well as a handful of species of biomedical or conservation interest. Yet, as biological variation in mutation rates has been shown to vary across genomic regions, individuals, and species, a greater understanding of the underlying evolutionary dynamics at play will ultimately be illuminated by not only additional sampling across the Order, but also by a greater depth of sampling within-species. To address these needs, we here present the first population-scale genomic resources for a platyrrhine of considerable biomedical interest for both social behavior and neurobiology, the coppery titi monkey (

Identifiers

PMID41648402
PMCPMC12871287

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.