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sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies.sPLINK：一种混合联邦工具，是全基因组关联研究中替代荟萃分析的强大选择。
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2
We Have "Gifted" Enough: Indigenous Genomic Data Sovereignty in Precision Medicine.我们已经“被赋予”了足够多：精准医学中的本土基因组数据主权。
Am J Bioeth. 2021 Apr;21(4):72-75. doi: 10.1080/15265161.2021.1891347.
3
Genomics data: the broken promise is to Indigenous people.基因组学数据：对原住民来说，承诺已破灭。
Nature. 2021 Mar;591(7851):529. doi: 10.1038/d41586-021-00758-w.
4
Indigenous data sovereignties and data sharing in biological anthropology.生物人类学中的本土数据主权与数据共享。
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The Illusion of Inclusion - The "All of Us" Research Program and Indigenous Peoples' DNA.包容的幻象——“我们所有人”研究项目与原住民的DNA
N Engl J Med. 2020 Jul 30;383(5):411-413. doi: 10.1056/NEJMp1915987.
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Privacy challenges and research opportunities for genomic data sharing.基因组数据共享的隐私挑战和研究机会。
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A scientometric review of genome-wide association studies.全基因组关联研究的科学计量学综述。
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联邦学习与本土基因组数据主权。

Federated learning and Indigenous genomic data sovereignty.

作者信息

Boscarino Nima, Cartwright Reed A, Fox Keolu, Tsosie Krystal S

机构信息

Hugging Face, Brooklyn, New York, NY, USA.

The Biodesign Institute, Arizona State University, Tempe, AZ, USA.

出版信息

Nat Mach Intell. 2022 Nov;4(11):909-911. doi: 10.1038/s42256-022-00551-y. Epub 2022 Nov 15.

DOI:10.1038/s42256-022-00551-y
PMID:36504698
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9731328/
Abstract

Indigenous peoples are under-represented in genomic datasets, which can lead to limited accuracy and utility of machine learning models in precision health. While open data sharing undermines rights of Indigenous communities to govern data decisions, federated learning may facilitate secure and community-consented data sharing.

摘要

原住民在基因组数据集中的代表性不足，这可能导致机器学习模型在精准医疗中的准确性和实用性受限。虽然开放数据共享会损害原住民社区对数据决策的治理权，但联邦学习可能有助于实现安全且经社区同意的数据共享。