Evidence map›Paper›PMID 39314480›Full record

ArticlebioRxiv : the preprint server for biology2024

Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation.

Ali Akbari, Alison R Barton, Steven Gazal, Zheng Li, Mohammadreza Kariminejad, Annabel Perry, Yating Zeng, Alissa Mittnik, Nick Patterson, Matthew Mah and 7 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

17 authors.

Ali AkbariDepartment of Genetics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5000-5876
Alison R BartonDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-0882-0196
Steven GazalDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-4510-5730
Zheng LiDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Mohammadreza KariminejadShamsipour Technical and Vocational College, Tehran, Iran.ORCID 0009-0007-0064-1405
Annabel PerryDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-9904-0824
Yating ZengDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Alissa MittnikDepartment of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.ORCID 0000-0002-6963-4824
Nick PattersonDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Matthew MahDepartment of Genetics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8987-6436
Xiang ZhouDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-4331-7599
Alkes L PriceBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Eric S LanderBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Ron PinhasiDepartment of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.ORCID 0000-0003-1629-8131
Nadin RohlandDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Swapan MallickDepartment of Genetics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-4531-4439
David ReichDepartment of Genetics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-7037-5292

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

We present a method for detecting evidence of natural selection in ancient DNA time-series data that leverages an opportunity not utilized in previous scans: testing for a consistent trend in allele frequency change over time. By applying this to 8433 West Eurasians who lived over the past 14000 years and 6510 contemporary people, we find an order of magnitude more genome-wide significant signals than previous studies: 347 independent loci with >99% probability of selection. Previous work showed that classic hard sweeps driving advantageous mutations to fixation have been rare over the broad span of human evolution, but in the last ten millennia, many hundreds of alleles have been affected by strong directional selection. Discoveries include an increase from ~0% to ~20% in 4000 years for the major risk factor for celiac disease at

Identifiers

PMID39314480
PMCPMC11419161

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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.