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基于州的罕见病和人群筛查基因组学方法。

A state-based approach to genomics for rare disease and population screening.

机构信息

HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.

School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.

出版信息

Genet Med. 2021 Apr;23(4):777-781. doi: 10.1038/s41436-020-01034-4. Epub 2020 Nov 27.

DOI:10.1038/s41436-020-01034-4
PMID:33244164
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8311654/
Abstract

PURPOSE

The Alabama Genomic Health Initiative (AGHI) is a state-funded effort to provide genomic testing. AGHI engages two distinct cohorts across the state of Alabama. One cohort includes children and adults with undiagnosed rare disease; a second includes an unselected adult population. Here we describe findings from the first 176 rare disease and 5369 population cohort AGHI participants.

METHODS

AGHI participants enroll in one of two arms of a research protocol that provides access to genomic testing results and biobank participation. Rare disease cohort participants receive genome sequencing to identify primary and secondary findings. Population cohort participants receive genotyping to identify pathogenic and likely pathogenic variants for actionable conditions.

RESULTS

Within the rare disease cohort, genome sequencing identified likely pathogenic or pathogenic variation in 20% of affected individuals. Within the population cohort, 1.5% of individuals received a positive genotyping result. The rate of genotyping results corroborated by reported personal or family history varied by gene.

CONCLUSIONS

AGHI demonstrates the ability to provide useful health information in two contexts: rare undiagnosed disease and population screening. This utility should motivate continued exploration of ways in which emerging genomic technologies might benefit broad populations.

摘要

目的

阿拉巴马州基因组健康倡议(AGHI)是一项由州政府资助的提供基因组测试的计划。AGHI 在阿拉巴马州内有两个不同的队列。一个队列包括患有未确诊的罕见病的儿童和成年人;另一个队列包括未选择的成年人。这里我们描述了来自前 176 名罕见病和 5369 名人群队列 AGHI 参与者的发现。

方法

AGHI 参与者参加研究方案的两个分支之一,该方案提供基因组测试结果和生物库参与的机会。罕见病队列参与者接受基因组测序以确定主要和次要发现。人群队列参与者接受基因分型以识别可采取行动的条件的致病性和可能致病性变体。

结果

在罕见病队列中,20%的受影响个体的基因组测序确定了可能致病性或致病性变异。在人群队列中,1.5%的个体获得了阳性基因分型结果。基因分型结果与个人或家族史报告的一致性因基因而异。

结论

AGHI 展示了在两种情况下提供有用健康信息的能力:罕见的未确诊疾病和人群筛查。这种实用性应该促使人们继续探索新兴基因组技术如何使广大人群受益的方法。

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本文引用的文献

1
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J Pers Med. 2020 Apr 27;10(2):30. doi: 10.3390/jpm10020030.
2
NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 1.2020.NCCN 指南解读:遗传/家族性高风险评估:乳腺、卵巢和胰腺,第 1.2020 版。
J Natl Compr Canc Netw. 2020 Apr;18(4):380-391. doi: 10.6004/jnccn.2020.0017.
3
Recruiting diversity where it exists: The Alabama Genomic Health Initiative.在多样性存在的地方招募人才:阿拉巴马基因组健康倡议。
J Genet Couns. 2020 Jun;29(3):471-478. doi: 10.1002/jgc4.1258. Epub 2020 Mar 27.
4
DNA-Based Population Screening: Potential Suitability and Important Knowledge Gaps.基于DNA的群体筛查:潜在适用性与重要知识空白
JAMA. 2020 Jan 28;323(4):307-308. doi: 10.1001/jama.2019.18640.
5
Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer: US Preventive Services Task Force Recommendation Statement.BRCA 相关癌症的风险评估、遗传咨询和基因检测:美国预防服务工作组推荐声明。
JAMA. 2019 Aug 20;322(7):652-665. doi: 10.1001/jama.2019.10987.
6
The "All of Us" Research Program.“All of Us”研究计划。
N Engl J Med. 2019 Aug 15;381(7):668-676. doi: 10.1056/NEJMsr1809937.
7
The use of ACMG secondary findings recommendations for general population screening: a policy statement of the American College of Medical Genetics and Genomics (ACMG).美国医学遗传学与基因组学学会(ACMG)关于将ACMG次要发现建议用于普通人群筛查的政策声明。
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8
Predispositional genome sequencing in healthy adults: design, participant characteristics, and early outcomes of the PeopleSeq Consortium.健康成年人的倾向性全基因组测序:PeopleSeq 联盟的设计、参与者特征和早期结果。
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9
Exome Sequencing-Based Screening for BRCA1/2 Expected Pathogenic Variants Among Adult Biobank Participants.基于外显子组测序的成人生物库参与者中 BRCA1/2 预期致病性变异的筛查。
JAMA Netw Open. 2018 Sep 7;1(5):e182140. doi: 10.1001/jamanetworkopen.2018.2140.
10
The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease.未确诊疾病网络:加速健康与疾病的发现。
Am J Hum Genet. 2017 Feb 2;100(2):185-192. doi: 10.1016/j.ajhg.2017.01.006.