Evidence map›Paper›PMID 39310794›Full record

ArticleEvolutionary applications2024

Impact of putatively beneficial genomic loci on gene expression in little brown bats (

Robert Kwait, Malin L Pinsky, Sarah Gignoux-Wolfsohn, Evan A Eskew, Kathleen Kerwin, Brooke Maslo

Abstract read
In one paragraph

Article in Evolutionary applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Relationship of temperature with declines and persistence of Myotis lucifugus after white-nose syndrome.Conservation biology : the journal of the Society for Conservation Biology · 2026
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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

6 authors.

Robert KwaitDepartment of Ecology, Evolution and Natural Resources Rutgers, The State University of New Jersey New Brunswick New Jersey USA.ORCID https://orcid.org/0000-0002-3237-2277
Malin L PinskyDepartment of Ecology, Evolution and Natural Resources Rutgers, The State University of New Jersey New Brunswick New Jersey USA.
Sarah Gignoux-WolfsohnDepartment of Biological Sciences University of Massachusetts Lowell Massachusetts USA.
Evan A EskewInstitute for Interdisciplinary Data Sciences University of Idaho Moscow Idaho USA.
Kathleen KerwinDepartment of Ecology, Evolution and Natural Resources Rutgers, The State University of New Jersey New Brunswick New Jersey USA.
Brooke MasloDepartment of Ecology, Evolution and Natural Resources Rutgers, The State University of New Jersey New Brunswick New Jersey USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide scans for selection have become a popular tool for investigating evolutionary responses in wildlife to emerging diseases. However, genome scans are susceptible to false positives and do little to demonstrate specific mechanisms by which loci impact survival. Linking putatively resistant genotypes to observable phenotypes increases confidence in genome scan results and provides evidence of survival mechanisms that can guide conservation and management efforts. Here we used an expression quantitative trait loci (eQTL) analysis to uncover relationships between gene expression and alleles associated with the survival of little brown bats (

Indexed as

diseaseeQTLevolutionexpressionMyotis lucifugusWhite‐nose syndrome

Identifiers

PMID39310794
PMCPMC11413065

What OpenQuestion 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 OpenQuestion graph.