Evidence map›Paper›PMID 38014252›Full record

ArticlebioRxiv : the preprint server for biology2023

The effects of mutation and recombination rate heterogeneity on the inference of demography and the distribution of fitness effects.

Vivak Soni, Susanne P Pfeifer, Jeffrey D Jensen

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Vivak SoniArizona State University, School of Life Sciences, Center for Evolution & Medicine.ORCID 0000-0002-9496-9562
Susanne P PfeiferArizona State University, School of Life Sciences, Center for Evolution & Medicine.
Jeffrey D JensenArizona State University, School of Life Sciences, Center for Evolution & Medicine.
Arizona State University · US

Funding

On differentiating selective and neutral evolutionary processesR35GM139383 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI JENSEN, JEFFREY D · 2021 to 2025
$3.0M
NIGMS NIH HHS R35 GM139383
6 · The paper itself

Abstract

Disentangling the effects of demography and selection has remained a focal point of population genetic analysis. Knowledge about mutation and recombination is essential in this endeavour; however, despite clear evidence that both mutation and recombination rates vary across genomes, it is common practice to model both rates as fixed. In this study, we quantify how this unaccounted for rate heterogeneity may impact inference using common approaches for inferring selection (DFE-alpha, Grapes, and polyDFE) and/or demography (fastsimcoal2 and

Indexed as

background selectiondemographydistribution of fitness effectsmutation raterecombination rate

Identifiers

PMID38014252
PMCPMC10680612
OpenAlexW4388659616

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.