Relationship between rice farming and polygenic scores potentially linked to agriculture in China.

China agriculture genetic adaptation polygenic scores rice farming

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 10 03 2021
accepted: 26 07 2021
entrez: 30 8 2021
pubmed: 31 8 2021
medline: 31 8 2021
Statut: epublish

Résumé

Following domestication in the lower Yangtze River valley 9400 years ago, rice farming spread throughout China and changed lifestyle patterns among Neolithic populations. Here, we report evidence that the advent of rice domestication and cultivation may have shaped humans not only culturally but also genetically. Leveraging recent findings from molecular genetics, we construct a number of polygenic scores (PGSs) of behavioural traits and examine their associations with rice cultivation based on a sample of 4101 individuals recently collected from mainland China. A total of nine polygenic traits and genotypes are investigated in this study, including PGSs of height, body mass index, depression, time discounting, reproduction, educational attainment, risk preference,

Identifiants

pubmed: 34457340
doi: 10.1098/rsos.210382
pii: rsos210382
pmc: PMC8371358
doi:

Banques de données

Dryad
['10.5061/dryad.djh9w0w00']

Types de publication

Journal Article

Langues

eng

Pagination

210382

Informations de copyright

© 2021 The Authors.

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Auteurs

Chen Zhu (C)

College of Economics and Management, China Agricultural University, Beijing 100081, People's Republic of China.
Academy of Global Food Economics and Policy (AGFEP), China Agricultural University, Beijing 100081, People's Republic of China.
Beijing Food Safety Policy and Strategy Research Base, China Agricultural University, Beijing 100081, People's Republic of China.

Thomas Talhelm (T)

Booth School of Business, University of Chicago, Chicago, IL 60637, USA.

Yingxiang Li (Y)

WeGene, Shenzhen Zaozhidao Technology Co. Ltd, Shenzhen, People's Republic of China.

Gang Chen (G)

WeGene, Shenzhen Zaozhidao Technology Co. Ltd, Shenzhen, People's Republic of China.
Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, People's Republic of China.

Jiong Zhu (J)

Institute of Economics, School of Economics, Xiamen University, Xiamen, People's Republic of China.
Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, Xiamen, People's Republic of China.

Jun Wang (J)

School of Public Administration and Policy, Renmin University of China, Beijing, People's Republic of China.

Classifications MeSH