{"title":"Governance of cross-border genomic data sharing through a human rights approach","authors":"Liang Yu, Ruohan Feng, Youhai Sun, Yaojin Peng","doi":"10.1038/s41588-025-02252-9","DOIUrl":null,"url":null,"abstract":"Cross-border genomic data sharing is crucial for advancing research progress, understanding of genetic diversity and international public health. However, this practice also leads to concerns regarding biosecurity, individual privacy and regulatory conflicts. Scientific communities often advocate data sovereignty approaches to address these challenges, yet related frameworks are often inadequate in their ability to address such challenges and have an overemphasis on national control and protectionism. They also may not fully consider the inherently transnational nature of genomic data and the need for a governance system that reflects the shared human heritage of the data and global interconnectivity. Instead, we propose here a human rights-based approach that surpasses territorial boundaries to promote shared responsibility and equitable research practices. A balanced governance framework that incorporates extraterritorial obligations and aligns data policy with human rights principles can safeguard individual privacy and biosecurity, encourage international collaboration and support ethically responsible genomic research. This Perspective proposes a human rights-based governance framework for cross-border genomic data sharing, addressing limitations of data sovereignty approaches while balancing privacy, security and global research collaboration.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"57 9","pages":"2090-2098"},"PeriodicalIF":29.0000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41588-025-02252-9","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Cross-border genomic data sharing is crucial for advancing research progress, understanding of genetic diversity and international public health. However, this practice also leads to concerns regarding biosecurity, individual privacy and regulatory conflicts. Scientific communities often advocate data sovereignty approaches to address these challenges, yet related frameworks are often inadequate in their ability to address such challenges and have an overemphasis on national control and protectionism. They also may not fully consider the inherently transnational nature of genomic data and the need for a governance system that reflects the shared human heritage of the data and global interconnectivity. Instead, we propose here a human rights-based approach that surpasses territorial boundaries to promote shared responsibility and equitable research practices. A balanced governance framework that incorporates extraterritorial obligations and aligns data policy with human rights principles can safeguard individual privacy and biosecurity, encourage international collaboration and support ethically responsible genomic research. This Perspective proposes a human rights-based governance framework for cross-border genomic data sharing, addressing limitations of data sovereignty approaches while balancing privacy, security and global research collaboration.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution