Evidence map›Paper›PMID 41790057›Full record

ReviewPhysiology (Bethesda, Md.)2026

Ancient DNA and Human Physiology.

Misheelt Bayarsaikhan, Michael James Boyle, Phoebe V Demers, Edward W Habeck, Joanna H Romeyer-Dherbey, Shahar Silverman, Diyendo Massilani

Abstract readReview
In one paragraph

Review in Physiology (Bethesda, Md.), 2026. 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.

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

7 authors.

Misheelt BayarsaikhanYale School of Medicine, New Haven, Connecticut, United States.
Michael James BoyleYale School of Medicine, New Haven, Connecticut, United States.
Phoebe V DemersYale School of Medicine, New Haven, Connecticut, United States.
Edward W HabeckYale School of Medicine, New Haven, Connecticut, United States.
Joanna H Romeyer-DherbeyYale School of Medicine, New Haven, Connecticut, United States.
Shahar SilvermanYale School of Medicine, New Haven, Connecticut, United States.
Diyendo MassilaniYale School of Medicine, New Haven, Connecticut, United States.ORCID 0000-0003-2661-4468

Funding

Tracing the evolutionary history of human adaptive traits through ancient DNADP2GM159182 · NIGMS · YALE UNIVERSITY · PI MASSILANI, DIYENDO · 2024 to 2024
$1.5M
HHS | National Institutes of Health (NIH) 1DP2GM159182-01NIGMS NIH HHS DP2 GM159182
6 · The paper itself

Abstract

Ancient DNA (aDNA) enables the reconstruction of chronologically sampled genomes from ancient humans, animals, plants, pathogens, and microorganisms, as well as environmental DNA, providing a record of biological changes through time. Improvements in short and degraded DNA extraction methods and low-cost sequencing now enable the generation of broad, cross-regional datasets that expand evolutionary analyses from past population demography to biological mechanisms. By tracking temporal shifts of allele frequencies, integrating functional genomics resources (e.g., gene expression, chromatin structure variation), modeling population demography to separate selection from genetic drift, and aligning genetic changes with archaeological, cultural, and climatic data, aDNA has the potential to link sequence variation to physiological function within their temporal and environmental contexts. In this review, we summarize illustrative case studies from aDNA research spanning complex traits, dietary adaptations, and responses to pathogens and other environmental changes, showing how human biology has evolved under multiple selective pressures through time. These dated signals help triage experimental work and expose mechanisms that are rare or absent in living cohorts. Although some challenges remain, such as geographic and temporal sampling disparities, limitations in data resolution and variant detection, and genotype-phenotype uncertainties, rapid methodological progress and stronger ethical frameworks are expanding what can be inferred, making aDNA a promising tool for refining physiological pathways, their timing, and their drivers.

Indexed as

DNA, AncientAnimalsGenetic VariationHumansDNA, Ancient

Identifiers

PMID41790057
PMCPMC13052355

What OpenQuestion holds

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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.