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Leveraging Multiple Populations across Time Helps Define Accurate Models of Human Evolution

A Reanalysis of the Lactase Persistence Adaptation

Bibliographic Data

ID6067326
AuthorsChenling Xu Antelope, Chenling Xu (0000-0001-9610-7627, University of California, Berkeley), Chenling Xu Antelope Chenling Xu Antelope, Davide Marnetto (0000-0001-9573-0601, University of Turin), Davide Marnetto Davide Marnetto, Fergal Casey (0000-0002-6781-8670, University of California, Merced), Fergal Casey Fergal Casey, Emilia Huerta-Sanchez, Emilia Huerta‐sánchez (0000-0002-1506-5494, University of California, Merced, corresponding author), Emilia Huerta-Sanchez Emilia Huerta-Sanchez
Year2017
Volume89
Issue1
Pages81-81
Publication date2017-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHuman Biology (JOURNAL)
Journal identifiersISSN: 0018-7143 • E-ISSN: 1534-6617
PublisherProject MUSE (PUBLISHER • US)
DOI10.13110/humanbiology.89.1.05
PMID29285971
OpenAlexW2768653348
LanguageEN
Citations received5
References cited22

Access to a geographically diverse set of modern human samples from the present time and from ancient remains, combined with archaic hominin samples, provides an unprecedented level of resolution to study both human history and adaptation. The amount and quality of ancient human data continue to improve and enable tracking the trajectory of genetic variation over time. These data have the potential to help us redefine or generate new hypotheses of how human evolution occurred and to revise previous conjectures. In this article, we argue that leveraging all these data will help us better detail adaptive histories in humans. As a case in point, we focus on one of the most celebrated examples of human adaptation: the evolution of lactase persistence. We briefly review this dietary adaptation and argue that, effectively, the evolutionary history of lactase persistence is still not fully resolved. We propose that, by leveraging data from multiple populations across time and space, we will fijind evidence of a more nuanced history than just a simple selective sweep. We support our hypotheses with simulation results and make some cautionary notes regarding the use of haplotype-based summary statistics to estimate evolutionary parameters

Adaptation (eye · Biology · Data science · Epistemology · Evolutionary biology · Haplotype · Human evolution · Machine learning · Persistence (discontinuity · Quality (philosophy · Selective sweep · Archaeology and ancient environmental studies · Artificial Intelligence · Computer Science · Digestive system and related health · Forensic Anthropology and Bioarchaeology Studies · Genetics

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Unique citing works5
Citations per year0,63
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 5

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