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中文摘要
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随着基因组研究的快速发展,我们正处于治愈性基因疗法(基因疗法和基因编辑)即将出现的时刻。第一个针对镰状细胞病和β地中海贫血的体细胞CRISPR基因编辑临床试验已经开始。 我们使用混合方法来研究SCD社区利益相关者(患有SCD的成年人,SCD患者的父母和SCD提供者)的观点和意见,并在此基础上对体细胞和生殖系基因编辑进行规范性研究。 我们在美国7个州进行了15个焦点小组(6组SCD成人; 6组SCD儿童的父母和3组照顾SCD患者的血液学家)。 所有三个利益相关者群体都希望基因编辑可能是SCD的过期,有效的治疗方法,通常指的是与其他疾病相比,SCD缺乏治疗方法。患者和家长讨论了支持未来基于CRISPR的临床试验的意愿,如果痛苦和社会孤立因此而减轻。这项工作提出了四个广泛的主题:(1)影响人们决定参与的因素(例如,改善个人或儿童的健康;促进科学;并帮助其他患有疾病的人),(2)决策的信息要求(例如临床数据,研究的跟踪记录)(3)患者和家长寻求指导的偏好(4)为研究界提供有意义的参与建议(例如以患者为中心的研究;优质教育资源和透明度)。 2018年,我们在《医学遗传学》杂志上发表了这项研究的第一批分析。 该项目还研究了基因组研究和数据库中的祖先多样性,以及基因组研究将如何影响祖先多样性患者群体公平获得基因组药物。 2018年,我们在《卫生事务》杂志上发表了一项研究,调查了全基因组关联研究(GWAS)目录和基因型和表型数据库(dbGaP)中疾病特异性研究的祖先多样性。 我们回顾了GWAS目录中的2,817项全基因组关联研究,其中413项是癌症相关研究。其余2,404项全基因组关联研究与癌症无关。在非癌症研究中,71%的研究对象是欧洲人后裔,20%是亚洲人,8%是代表性不足的少数民族。 该项目还对研究种族和族裔作为基因组学研究中人口描述符的效用感兴趣。 相应地,我们正在研究基因组学研究中种族和民族的历史和当前社会学背景。这包括对种族概念的历史进行审查,特别关注历史发展,这些发展可以为遗传学中人口描述符的当前做法提供信息。
英文摘要
With rapid advancements in genomic research, we are at a point where curative genetic therapies (gene therapy and gene editing) are on the horizon. The first somatic CRISPR gene editing clinical trials for sickle cell disease and beta-thalassemia have opened. We use mixed-methods to study the views and opinions of SCD community stakeholders (adults living with SCD, parents of individuals with SCD, and SCD providers) and conduct normative research on somatic and germline gene editing which builds on this foundational qualitative study. We conducted 15 focus groups (six groups of adults with SCD; six groups of parents with a child with SCD and three groups of hematologists caring for patients with SCD) in seven US states. All three stakeholder cohorts were hopeful that gene editing could be the overdue, impactful treatment for SCD, often referencing the lack of treatments available for SCD compared to other diseases. Patients and parents discussed willingness to support future CRISPR-based clinical trials if suffering and social isolation are attenuated as a result. Four broad themes emerged from this work: (1) factors influencing ones decision to participate (e.g. improve health of individual or child; contribute to science; and help other individuals with the disease), (2) information requirements for decision making (e.g. clinical data, track record of research) (3) patient and parent preferences for soliciting guidance (e.g. primary physician) and (4) recommendations for the research community on meaningful engagement (e.g. patient centric studies; quality education resources and transparency). In 2018 we published the first analyses from this study in Genetics in Medicine. This project also examines ancestral diversity in genomic studies and databases and how genomic research will impact equitable access to genomic medicine for ancestrally diverse patient populations. In 2018 we published in Health Affairs a study investigating the ancestral diversity in disease specific studies within the Genome Wide Association Studies (GWAS) Catalog and Genotypes and Phenotypes database (dbGaP). We reviewed 2,817 genome-wide association studies from the GWAS catalog, of which 413 were cancer-related studies. The remaining 2,404 genome-wide association studies were not related to cancer. Of the non-cancer studies, 71% were of populations of European descent, 20% were of Asian populations, and 8% were of underrepresented minority groups. The project is also interested in studying the utility of race and ethnicity as population descriptors in genomics research studies. Correspondingly, we are investigating the historical and current sociological context of race and ethnicity in genomics research. This includes an examination of the history of the concept of ethnicity, with a specific focus on historical developments that can inform current practices surrounding population descriptors in genetics.
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Understanding the Relationships between Race, Ethnicity, Ancestry and Genomics
Understanding the Relationships between Race, Ethnicity, Ancestry and Genomics
Examining the Equitable Integration of Genomics in Health Care and Society
Relationships- Race, Ethnicity, Ancestry, and Genomics
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