Innovating for a Just and Equitable Future in Genomic and Precision Medicine Research.
Innovating for a Just and Equitable Future in Genomic and Precision Medicine Research.
复制标题
创新基因组和精确医学研究的公正和公平未来。
DOI:
10.1080/15265161.2023.2215201
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发表时间:
2023-07
影响因子:
13.4
通讯作者:
Lee, Sandra Soo-Jin
中科院分区:
文献类型:
--
作者:
Dolan, Deanne Dunbar;Cho, Mildred K.;Lee, Sandra Soo-Jin
From its inception, genomics has been a speculative endeavor, fixated on a far-off horizon that would deliver on the promise of targeted diagnostics and individualized therapeutics (Fortun 2008). More recently, the data-driven approach of precision medicine research furthers this trajectory by investigating individual differences in genes, environment, and lifestyle (Jooma et al. 2019). The substantial investment in genomic and precision medicine has begun to yield clinically useful interventions, yet questions about benefit and access create uncertainty about our ability to achieve equity goals. If the prediction by the National Human Genome Research Institute that “individuals from ancestrally diverse backgrounds will benefit equitably from advances in human genomics” by 2030 is to be taken seriously, ethical, legal, and social implications (ELSI) research must engage with the meaning of equity and questions about whether and how genomic and precision medicine can achieve these goals in a geopolitical landscape characterized by extreme economic inequality and structural racism (Chancel and Piketty 2021; Green et al. 2020, 690; Yearby, Clark, and Figueroa 2022). Transparency about scientific practice and the extensive data collection and triangulation necessary for genomic and precision medicine will be critical to the production of trustworthy science (Lee et al. 2019). Sampling bias resulting in research datasets comprised mostly of samples from individuals of European ancestry (Popejoy and Fullerton 2016; Tsosie et al. 2021) means that peoples underrepresented in genomic research studies are more likely to receive non-informative or inaccurate genetic test results in the clinic (Burke 2021; Chapman-Davis et al. 2021; Landry and Rehm 2018; Manrai et al. 2016). Unequal access to genetic testing and interventions due to affordability, genetic literacy, and trust in the healthcare system have already undermined implementation of genomic applications (Khoury et al. 2022). Disparities and delays in access to genetic services for low income and minority patients in the US are well documented (Chapman-Davis et al. 2021; Fraiman and Wojcik 2021; Gene Hallford et al. 2020; Hoskins et al. 2018; Omorodion et al. 2022; Shields, Burke, and Levy 2008; Wojcik et al. 2023). These barriers are likely to determine which Americans will be able to access and benefit from the substantial public investment in genomic and precision medicine and may undermine public trust in science (Lee 2021; Lee et al. 2019; Reardon et al. 2023). Fully realizing the promise of equity will require investment in the study of sociopolitical, economic, legal, regulatory, and environmental factors that parallels the public investment in genomics (Lee 2021). Leveraging multidisciplinary expertise and ELSI scholarship to address key questions should be paramount, including scholars and scholarship that can elucidate the roles of the built environment and health systems in facilitating or impeding equitable access, approaches for identifying and prioritizing the interests of communities, the creation of transparent public-private partnerships, and design of effective engagement to define the public good for genomic and precision medicine. This means centering the experiences of marginalized populations to create policies and practices that empower communities underrepresented in biomedical research to negotiate the terms of their research participation, ownership of their data, and the meaning of equitable benefit (Fox 2020; Tsosie et al. 2021). This special issue of the American Journal of Bioethics comprises ELSI research focused on equity and inclusion of diverse publics in …
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影响因子:
64.8
作者:
Green ED;Gunter C;Biesecker LG;Di Francesco V;Easter CL;Feingold EA;Felsenfeld AL;Kaufman DJ;Ostrander EA;Pavan WJ;Phillippy AM;Wise AL;Dayal JG;Kish BJ;Mandich A;Wellington CR;Wetterstrand KA;Bates SA;Leja D;Vasquez S;Gahl WA;Graham BJ;Kastner DL;Liu P;Rodriguez LL;Solomon BD;Bonham VL;Brody LC;Hutter CM;Manolio TA
通讯作者:
Manolio TA
影响因子:
3.6
作者:
Fraiman YS;Wojcik MH
通讯作者:
Wojcik MH
影响因子:
24
作者:
Landry, Latrice G.;Rehm, Heidi L.
通讯作者:
Rehm, Heidi L.
影响因子:
3.2
作者:
Jooma, Sonya;Hahn, Michael J.;Bonham, Vence L.
通讯作者:
Bonham, Vence L.
影响因子:
13.4
作者:
Conley, John M.;Cadigan, R. Jean;Henderson, Gail E.
通讯作者:
Henderson, Gail E.