Understanding natural selection in Holocene Europe using multi-locus genotype identity scans.

Devansh Pandey, Mariana Harris, Nandita R Garud, Vagheesh M Narasimhan

Abstract 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.

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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

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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

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

4 authors.

Devansh PandeyDepartment of Integrative Biology, The University of Texas at Austin.

Mariana HarrisDepartment of Computational Medicine, University of California, Los Angeles.

Nandita R GarudDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles.

Vagheesh M NarasimhanDepartment of Integrative Biology, The University of Texas at Austin.

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026

$8.6M

Systems in Integrative BiologyT32GM008185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHOU, TOM · 1987 to 2022

$4.6M

NHGRI NIH HHS T32 HG002536NIGMS NIH HHS T32 GM008185

6 · The paper itself

Abstract

Ancient DNA (aDNA) has been a revolutionary technology in understanding human history but has not been used extensively to study natural selection as large sample sizes to study allele frequency changes over time have thus far not been available. Here, we examined a time transect of 708 published samples over the past 7,000 years of European history using multi-locus genotype-based selection scans. As aDNA data is affected by high missingness, ascertainment bias, DNA damage, random allele calling, and is unphased, we first validated our selection scan,

Identifiers

PMID37163039

DOI10.1101/2023.04.24.538113

PMCPMC10168228

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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.