Evidence map›Paper›PMID 42586760›Full record

ArticleGenome research2026

A SNP panel for coanalysis of capture and shotgun ancient DNA data.

Romain Fournier, Alice Pearson Fulton, Daniel Tabin, David Reich

Abstract read
PubMed Publisher
In one paragraph

Article in Genome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Romain FournierDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA; romainfournier@fas.harvard.edu reich@genetics.med.harvard.edu.ORCID http://orcid.org/0000-0003-2790-2445
Alice Pearson FultonDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Daniel TabinDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA.ORCID http://orcid.org/0009-0002-2997-1540
David ReichDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA; romainfournier@fas.harvard.edu reich@genetics.med.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in technology have decreased the cost of generating genetic data from ancient people, resulting in exponentially increasing numbers of individuals with whole-genome data. However, these technologies come with platform-specific biases, limiting coanalyzability of individuals sequenced with different technologies as well as joint analysis of modern and ancient individuals. Here, we present a method to identify single-nucleotide polymorphisms (SNPs) with minimal technology-specific bias. Leveraging data from more than 18,000 individuals, we apply this method to identify a set of around 1 million SNPs that we call the "compatibility" panel, 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 are restricted to positions that have been assayed in more than 10,000 modern people from more than 1000 diverse populations using the Affymetrix Human Origins (HO) genotyping array. The compatibility panel reduces spurious

Indexed as

DNA, AncientPolymorphism, Single NucleotideGenome, HumanHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAShotgun SequencingDNA, Ancient

Identifiers

PMID42586760

What OpenQuestion holds

Textmetadata
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.