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Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort.245 个多基因评分在英国生物样本库中得出并应用于来自同一队列的 9 个祖先群体时的可转移性。
Am J Hum Genet. 2022 Jan 6;109(1):12-23. doi: 10.1016/j.ajhg.2021.11.008.
2
Whole-Genome Sequencing Association Analyses of Stroke and Its Subtypes in Ancestrally Diverse Populations From Trans-Omics for Precision Medicine Project.基于精准医学项目的跨组学研究，对来自不同祖先人群的中风及其亚型进行全基因组测序关联分析。
Stroke. 2022 Mar;53(3):875-885. doi: 10.1161/STROKEAHA.120.031792. Epub 2021 Nov 3.
3
High-depth African genomes inform human migration and health.高深度的非洲基因组信息揭示了人类的迁徙和健康状况。
Nature. 2020 Oct;586(7831):741-748. doi: 10.1038/s41586-020-2859-7. Epub 2020 Oct 28.
4
Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.204 个国家和地区 1990-2019 年 369 种疾病和伤害导致的全球负担：2019 年全球疾病负担研究的系统分析。
Lancet. 2020 Oct 17;396(10258):1204-1222. doi: 10.1016/S0140-6736(20)30925-9.
5
The SickleGenAfrica Network.镰状细胞病基因非洲网络
Lancet Glob Health. 2020 Oct;8(10):e1255-e1256. doi: 10.1016/S2214-109X(20)30348-X.
6
Tutorial: a guide to performing polygenic risk score analyses.教程：多基因风险评分分析操作指南。
Nat Protoc. 2020 Sep;15(9):2759-2772. doi: 10.1038/s41596-020-0353-1. Epub 2020 Jul 24.
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Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups.多基因风险评分对三大主要种族和族裔群体冠心病的预测效用。
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8
Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals.祖源去卷积和部分多基因评分可提高近期混合人群的易感性预测。
Nat Commun. 2020 Apr 2;11(1):1628. doi: 10.1038/s41467-020-15464-w.
9
A catalog of genetic loci associated with kidney function from analyses of a million individuals.一项对 100 万人进行的分析显示，与肾功能相关的遗传基因座目录。
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Clinical use of current polygenic risk scores may exacerbate health disparities.现行多基因风险评分的临床应用可能会加剧健康差异。
Nat Genet. 2019 Apr;51(4):584-591. doi: 10.1038/s41588-019-0379-x. Epub 2019 Mar 29.

CARDINAL 研究的多基因风险评分。

Polygenic risk scores for CARDINAL study.

机构信息

Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.

University of Maryland Marlene and Stewart Greenbaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.

出版信息

Nat Genet. 2022 May;54(5):527-530. doi: 10.1038/s41588-022-01074-3.

DOI:10.1038/s41588-022-01074-3
PMID:35513726
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9907721/
Abstract

The Cardiometabolic Disorders in African-Ancestry Populations (CARDINAL) study site is a well-powered, first-of-its-kind resource for developing, refining and validating methods for research into polygenic risk scores that accounts for local ancestry, to improve risk prediction in diverse populations.

摘要

非裔人群中心血管代谢疾病研究（CARDINAL）站点是一个功能强大的、首例的资源，用于开发、改进和验证考虑局部遗传背景的多基因风险评分研究方法，以改善不同人群的风险预测。