Evidence map›Paper›PMID 41545083›Full record

ReviewGenome research2026

Recent advances in methods to characterize archaic introgression in modern humans.

David Peede, Mayra M Bañuelos, Jazeps Medina Tretmanis, Miriam Miyagi, Emilia Huerta-Sánchez

Abstract readReview
In one paragraph

Review in Genome research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

David PeedeDepartment of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island 02912, USA.ORCID 0000-0002-4826-0464
Mayra M BañuelosDepartment of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island 02912, USA.ORCID 0000-0002-6292-6269
Jazeps Medina TretmanisCenter for Computational Molecular Biology, Brown University, Providence, Rhode Island 02912, USA.ORCID 0000-0002-4589-025X
Miriam MiyagiCenter for Computational Molecular Biology, Brown University, Providence, Rhode Island 02912, USA.ORCID 0000-0002-4358-6019
Emilia Huerta-SánchezDepartment of Ecology, Evolution, and Organismal Biology, Brown University, Providence, Rhode Island 02912, USA; emilia_huerta-sanchez@brown.edu.ORCID 0000-0002-1506-5494

Funding

Characterizing modes of natural selection via diverse ancient and modern samplesR35GM128946 · NIGMS · BROWN UNIVERSITY · PI Emilia Huerta-Sanchez · 2018 to 2026
$3.1M
Predoctoral Training Program in Biological Data Science at Brown UniversityT32GM128596 · NIGMS · BROWN UNIVERSITY · PI RAMACHANDRAN, SOHINI, SANDSTEDE, BJORN · 2018 to 2022
$1.5M
National Science Foundation PRFB-2305910NIGMS NIH HHS R35 GM128946NIGMS NIH HHS T32 GM128596
6 · The paper itself

Abstract

The exchange and subsequent incorporation of genetic material between distinct lineages, known as introgression, has emerged as a crucial concept in understanding human evolutionary history. With the advent of high-throughput sequencing technologies and the publication of the draft Neanderthal genome in 2010, Green and colleagues were able to demonstrate the presence of Neanderthal DNA in present-day Eurasians, a signature of past interbreeding events with archaic humans. This integration of genetic material from extinct human relatives, such as Neanderthals and Denisovans, into the genomes of modern humans due to historical gene flow events is known as archaic introgression. As new methods and data sets uncover a more complex intermingling between our ancestors and archaic humans than previously thought, the relevance of archaic introgression has only increased, opening exciting new avenues for studying human evolution. Here, we review recent methodological advances in the study of archaic introgression. We begin by providing an overview of the genealogical and genomic signatures left behind by introgression events before reviewing recent methods for studying archaic introgression by outlining their conceptual approaches, data requirements, and types of inferences they support. Finally, we provide recommendations for which methods are most appropriate given a research question and data set, discuss outstanding challenges, and suggest future lines of research to advance the study of archaic introgression.

Indexed as

Genetic IntrogressionGenome, HumanNeanderthalsAnimalsDNA, AncientEvolution, MolecularGene FlowGenomicsHumansDNA, Ancient

Identifiers

PMID41545083
PMCPMC12863057

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.