Evidence map›Paper›PMID 41497666›Full record

ArticlebioRxiv : the preprint server for biology2025

A SNP panel for co-analysis of capture and shotgun ancient DNA data.

Romain Fournier, Alice Pearson Fulton, David Reich

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

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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

5 · Who and what money

Authors and funding

3 authors.

Romain FournierDepartment of Human Evolutionary Biology, Harvard University, 02138, Cambridge, MA, USA.ORCID 0000-0003-2790-2445
Alice Pearson FultonDepartment of Human Evolutionary Biology, Harvard University, 02138, Cambridge, MA, USA.
David ReichDepartment of Human Evolutionary Biology, Harvard University, 02138, Cambridge, MA, USA.

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

Advances in technology have decreased the cost of generating genetic variation data from ancient people, resulting in exponentially increasing numbers of individuals with whole genome data. However, each technology comes with platform-specific biases, limiting co-analyzability of individuals sequenced with different technologies as well as joint analysis of modern and ancient individuals. We present a method to identify single nucleotide polymorphisms (SNPs) with minimal technology-specific bias. Leveraging data from over 16,300 ancient individuals, we apply this method to identify a set of a million SNPs that we call the "Compatibility" panel, and which has been effectively assayed in a large fraction of ancient human DNA experiments published to date. We also identify a subset of these SNPs, the "Compatibility-HO" panel, which further restricts to positions that have been assayed in more than ten thousand modern individuals from more than a thousand diverse populations using the Affymetrix Human Origins (HO) genotyping array. The Compatibility panel reduces spurious

Identifiers

PMID41497666
PMCPMC12767307

What OpenQuestion holds

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Registered trials

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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.