Evidence map›Paper›PMID 41292788›Full record

ArticlebioRxiv : the preprint server for biology2025

Influence of

Colin J Shew, Gulhan Kaya, Sean P McGinty, Megan Y Dennis

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

4 authors.

Colin J ShewGenome Center, University of California, Davis, CA, USA.
Gulhan KayaGenome Center, University of California, Davis, CA, USA.
Sean P McGintyGenome Center, University of California, Davis, CA, USA.
Megan Y DennisGenome Center, University of California, Davis, CA, USA.ORCID 0000-0002-8502-5420

Funding

Genetic and functional assessment of human-specific duplicated genesF31HG011205 · NHGRI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SHEW, COLIN JAMES · 2021 to 2022
$77k
NHGRI NIH HHS F31 HG011205
6 · The paper itself

Abstract

Human-specific segmental duplications (HSDs) contain millions of base pairs of sequence unique to the human genome, including genes that shape neurodevelopment. Despite their young age (<6 million years), HSD genes exhibit widespread regulatory divergence, with paralog-specific expression patterns documented across a variety of tissues and cell types. Using long-read expression and epigenomic data, we show that human-specific paralogs tend to have lower activity than the shared, ancestral ones. To systematically characterize the

Identifiers

PMID41292788
PMCPMC12642434

What OpenQuestion 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 OpenQuestion graph.