Evidence map›Paper›PMID 36375050›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Impact of cultural and genetic structure on food choices along the Silk Road.

Serena Aneli, Massimo Mezzavilla, Eugenio Bortolini, Nicola Pirastu, Giorgia Girotto, Beatrice Spedicati, Paola Berchialla, Paolo Gasparini, Luca Pagani

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Impact of cultural and genetic structure on food choices along the Silk Road.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

9 authors.

Serena AneliDepartment of Biology, University of Padova, 35121 Padua, Italy.ORCID 0000-0003-4303-2507
Massimo MezzavillaDepartment of Biology, University of Padova, 35121 Padua, Italy.ORCID 0000-0002-9000-4595
Eugenio BortoliniHuman Ecology and Archaeology (HUMANE), IMF, CSIC, 08001 Barcelona, Spain.ORCID 0000-0001-6751-5680
Nicola PirastuHuman Technopole, 20157 Milan, Italy.
Giorgia GirottoInstitute for Maternal and Child Health IRCCS Burlo Garofolo, 34137 Trieste, Italy.
Beatrice SpedicatiDepartment of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy.
Paola BerchiallaDepartment of Clinical and Biological Sciences, University of Torino, 10100 Torino, Italy.
Paolo GaspariniInstitute for Maternal and Child Health IRCCS Burlo Garofolo, 34137 Trieste, Italy.
Luca PaganiDepartment of Biology, University of Padova, 35121 Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complex interplay between genetics, culture, and environment forms an individual's biology, influencing their behavior, choices, and health. However, to what extent information derived from this intertwined network could be quantitatively summarized to provide a glance at an individual's lifestyle is difficult to say. Here, we focused on dietary preferences as cultural proxies and genome-wide data of 543 individuals from six historical Silk Road countries: Georgia, Armenia, Azerbaijan, Uzbekistan, Kazakhstan, and Tajikistan. These lands favored the dispersal of innovations, foods, and DNA halfway across Eurasia, thus representing an ideal subject to explore interactions of cultural factors and genetic ancestry. We used discriminant analysis of principal components to infer cultural clusters, where mixed memberships are allowed. Five different clusters emerged. Of these, clusters 1 and 3, driven by aversion to pork and alcoholic beverages, mirrored genetic admixture patterns with the exception of Azerbaijan, which shares preferences supported by Islamic culture with Eastern countries. Cluster 3 was driven by protein-rich foods, whose preference was significantly related to steppe pastoralist ancestry. Sex and age were secondary clustering factors, with clusters formed by male and young individuals being related to alcohol preference and a reduced liking for vegetables. The soft clustering approach enabled us to model and summarize the individual's dietary information in short and informative vectors, which show meaningful interaction with other nondietary attributes of the studied individuals. Encoding other cultural variables would help summarize an individual's culture quantitatively, thus ultimately supporting its inclusion as a covariate in future association studies.

Indexed as

Food PreferencesFemaleFoodGenetic StructuresGeorgia (Republic)HumansMalecultural clusteringfood culturegenetic structureSilk Road

Identifiers

PMID36375050
PMCPMC9704696

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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.