Evidence map›Paper›PMID 37695771›Full record

ArticlePLoS biology2023

Applying an evolutionary mismatch framework to understand disease susceptibility.

Amanda J Lea, Andrew G Clark, Andrew W Dahl, Orrin Devinsky, Angela R Garcia, Christopher D Golden, Joseph Kamau, Thomas S Kraft, Yvonne A L Lim, Dino J Martins and 11 more

Erratum issuedAbstract read
In one paragraph

Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. A Decolonial Lexicon for Immunology.Acta biotheoretica · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Polygenic prediction of human complex traits using ancient DNA.Current opinion in genetics & development · 2025
    Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Amanda J LeaDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0002-8827-2750
Andrew G ClarkDepartment of Molecular Biology & Genetics, Cornell University, Ithaca, New York, United States of America.
Andrew W DahlDepartment of Medicine, University of Chicago, Chicago, Illinois, United States of America.
Orrin DevinskyDepartment of Neurology, NYU Langone Comprehensive Epilepsy Center, NYU Grossman School of Medicine, New York, New York, United States of America.
Angela R GarciaDepartment of Anthropology, Stanford University, Stanford, California, United States of America.
Christopher D GoldenDepartment of Nutrition, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America.
Joseph KamauOne Health Centre, Institute of Primate Research, Karen, Nairobi, Kenya.
Thomas S KraftDepartment of Anthropology, University of Utah, Salt Lake City, Utah, United States of America.
Yvonne A L LimDepartment of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Dino J MartinsTurkana Basin Institute, Stony Brook University, Stony Brook, New York, United States of America.
Donald MogoiDepartment of Medical Services and Public Health, Ministry of Health Laikipia County, Nanyuki, Kenya.
Päivi PajukantaDepartment of Human Genetics, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America.
George H PerryDepartments of Anthropology and Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Herman PontzerDepartment of Evolutionary Anthropology, Duke University, Durham, North Carolina, United States of America.
Benjamin C TrumbleSchool of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America.
Samuel S UrlacherDepartment of Anthropology, Baylor University, Waco, Texas, United States of America.
Vivek V VenkataramanDepartment of Anthropology and Archaeology, University of Calgary, Calgary, Alberta, Canada.
Ian J WallaceDepartment of Anthropology, University of New Mexico, Albuquerque, New Mexico, United States of America.
Michael GurvenDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, California, United States of America.
Daniel E LiebermanDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Julien F AyrolesLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0001-8729-0511

Funding

A path to personalized phenotypic prediction: unlocking the context-dependency of allelic effectsR35GM124881 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Julien Ayroles · 2017 to 2026
$3.7M
Improved methods for inference of genotype-specific response to environmental toxinsR01ES029929 · NIEHS · PRINCETON UNIVERSITY · PI AYROLES, JULIEN, CLARK, ANDREW G · 2019 to 2023
$3.6M
Early life environmental effects: molecular mechanisms and inter-individual variationR35GM147267 · NIGMS · VANDERBILT UNIVERSITY · PI Amanda Lea · 2022 to 2026
$2.0M
NIEHS NIH HHS R01 ES029929NIGMS NIH HHS R35 GM124881NIGMS NIH HHS R35 GM147267
6 · The paper itself

Abstract

Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of "lifestyle" diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be "mismatched" and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit "genotype by environment" (GxE) interactions, with different health effects in "ancestral" versus "modern" environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the "matched" to "mismatched" spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Biological EvolutionDisease SusceptibilityGenomicsHumans

Identifiers

PMID37695771
PMCPMC10513379

What OpenQuestion holds

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LicenceCC BY
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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.