Evidence map›Paper›PMID 38313273›Full record

ArticlebioRxiv : the preprint server for biology2024

Accurate inference of population history in the presence of background selection.

Trevor Cousins, Daniel Tabin, Nick Patterson, David Reich, Arun Durvasula

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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, 17 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Trevor CousinsDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-0428-9345
Daniel TabinDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Nick PattersonDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
David ReichDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Arun DurvasulaDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Broad Institute · USHarvard University · US

Funding

Solving ascertainment bias in ancient DNA using Ultima Genomics sequencingR01HG012287 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2021 to 2025
$2.7M
NHGRI NIH HHS R01 HG012287
6 · The paper itself

Abstract

All published methods for learning about demographic history make the simplifying assumption that the genome evolves neutrally, and do not seek to account for the effects of natural selection on patterns of variation. This is a major concern, as ample work has demonstrated the pervasive effects of natural selection and in particular background selection (BGS) on patterns of genetic variation in diverse species. Simulations and theoretical work have shown that methods to infer changes in effective population size over time (

Identifiers

PMID38313273
PMCPMC10838404
OpenAlexW4391045756

What Socratic 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 Socratic graph.