Editorial: The Importance of Diversity in Precision Medicine Research.
Ontology highlight
ABSTRACT:
SUBMITTER: Cooke Bailey JN
PROVIDER: S-EPMC7479241 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Editorial: The Importance of Diversity in Precision Medicine Research.
Cooke Bailey Jessica N JN Bush William S WS Crawford Dana C DC
Frontiers in genetics 20200826
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Project description:Kidney disease is a well-known health disparity in the United States where African Americans are affected at higher rates compared with other groups such as European Americans and Mexican Americans. Common genetic variants in the myosin, heavy chain 9, non-muscle (MYH9) gene were initially identified as associated with non-diabetic end-stage renal disease in African Americans, and it is now understood that these variants are in strong linkage disequilibrium with likely causal variants in neighboring APOL1. Subsequent genome-wide and candidate gene studies have suggested that MYH9 common variants among others are also associated with chronic kidney disease and quantitative measures of kidney function in various populations. In a precision medicine setting, it is important to consider genetic effects or genetic associations that differ across racial/ethnic groups in delivering data relevant to disease risk or individual-level patient assessment. Kidney disease and quantitative trait-associated genetic variants have yet to be systematically characterized in multiple racial/ethnic groups. Therefore, to further characterize the prevalence of these genetic variants and their association with kidney related traits, we have genotyped 10 kidney disease or quantitative trait-associated single nucleotide polymorphisms (SNPs) (rs2900976, rs10505955, rs10502868, rs1243400, rs9305354, rs12917707, rs17319721, rs2467853, rs2032487, and rs4821480) in 14,998 participants from the population-based cross-sectional National Health and Nutrition Examination Surveys (NHANES) III and 1999-2002 as part of the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study. In this general adult population ascertained regardless of health status (6,293 non-Hispanic whites, 3,013 non-Hispanic blacks, and 3,542 Mexican Americans), we observed higher rates of chronic kidney disease among non-Hispanic blacks compared with the other groups as expected. We performed single SNP tests of association using linear regressions assuming an additive genetic model adjusted for age, sex, diastolic blood pressure, systolic blood pressure, and type 2 diabetes status for several outcomes including creatinine (urinary), creatinine (serum), albumin (urinary), eGFR, and albumin-to-urinary creatinine ratio (ACR). We also tested for associations between each SNP and chronic kidney disease and albuminuria using logistic regression. Surprisingly, none of the MYH9 variants tested was associated with kidney diseases or traits in non-Hispanic blacks (p>0.05), perhaps attributable to the clinical heterogeneity of kidney disease in this population. Several associations were observed in each racial/ethnic group at p<0.05, but none were consistently associated in the same direction in all three groups. The lack of significant and consistent associations is most likely due to power highlighting the importance of the availability of large, diverse populations for genetic association studies of complex diseases and traits to inform precision medicine efforts in diverse patient populations.
| S-EPMC4720994 | biostudies-literature
Project description:* To evaluate genome-wide drug variants in the Somali population * To be able to detect pharmacogenetic variants of importance in the Somali populaion * To infer HLA alleles and blood group variants in Somalia
2020-03-19 | E-MTAB-8331 | biostudies-arrayexpress
Project description: Not available
| S-EPMC8720958 | biostudies-literature
Project description: Not available
| S-EPMC10354637 | biostudies-literature
Project description:ImportancePrecision medicine is an approach to detecting, treating, and managing disease that is based on individual variation in genetic, environmental, and lifestyle factors. Precision medicine is expected to reduce health disparities, but this will be possible only if studies have adequate representation of racial minorities.ObjectiveIt is critical to anticipate the rates at which individuals from diverse populations are likely to participate in precision medicine studies as research initiatives are being developed. We evaluated the likelihood of participating in a clinical study for precision medicine.Design, setting, participantsObservational study conducted between October 2010 and February 2011 in a national sample of African Americans.Main outcome measureIntentions to participate in a government sponsored study that involves providing a biospecimen and generates data that could be shared with other researchers to conduct future studies.ResultsOne third of respondents would participate in a clinical study for precision medicine. Only gender had a significant independent association with participation intentions. Men had a 1.86 (95% CI = 1.11, 3.12, p = 0.02) increased likelihood of participating in a precision medicine study compared to women in the model that included overall barriers and facilitators. In the model with specific participation barriers, distrust was associated with a reduced likelihood of participating in the research described in the vignette (OR = 0.57, 95% CI = 0.34, 0.96, p = 0.04).Conclusion and relevanceAfrican Americans may have low enrollment in PMI research. As PMI research is implemented, extensive efforts will be needed to ensure adequate representation. Additional research is needed to identify optimal ways of ethically describing precision medicine studies to ensure sufficient recruitment of racial minorities.
| S-EPMC4956119 | biostudies-literature
Project description:Deliberative democratic engagement is used around the globe to gather informed public input on contentious collective questions. Yet, rarely has it been used to convene individuals exclusively from Indigenous communities. The relative novelty of using this approach to engage tribal communities and concerns about diversity and inequities raise important methodological questions. We describe the design and quality outcomes for a 2.5-day deliberation that elicited views of American Indian and Alaska Native (AIAN) leaders about the potential value and ethical conduct of precision medicine research (PMR), an emerging approach to research that investigates the health effects of individual genetic variation in tandem with variation in health-relevant practices, social determinants, and environmental exposures. The event met key goals, such as relationship and rapport formation, cross-site learning, equality of opportunity to participate, and respect among participants in the context of disagreement.
| S-EPMC9173705 | biostudies-literature
Project description:Glioblastoma multiforme (GBM) is an aggressive form of brain cancer that has no effective treatments and a prognosis of only 12-15 months. Microfluidic technologies deliver microscale control of fluids and cells, and have aided cancer therapy as point-of-care devices for the diagnosis of breast and prostate cancers. However, a few microfluidic devices are developed to study malignant glioma. The ability of these platforms to accurately replicate the complex microenvironmental and extracellular conditions prevailing in the brain and facilitate the measurement of biological phenomena with high resolution and in a high-throughput manner could prove useful for studying glioma progression. These attributes, coupled with their relatively simple fabrication process, make them attractive for use as point-of-care diagnostic devices for detection and treatment of GBM. Here, the current issues that plague GBM research and treatment, as well as the current state of the art in glioma detection and therapy, are reviewed. Finally, opportunities are identified for implementing microfluidic technologies into research and diagnostics to facilitate the rapid detection and better therapeutic targeting of GBM.
| S-EPMC5959050 | biostudies-literature
Project description:Genome-wide association studies (GWAS) revolutionized our understanding of common genetic variation and its impact on common human disease and traits. Developed and adopted in the mid-2000s, GWAS led to searchable genotype-phenotype catalogs and genome-wide datasets available for further data mining and analysis for the eventual development of translational applications. The GWAS revolution was swift and specific, including almost exclusively populations of European descent, to the neglect of the majority of the world's genetic diversity. In this narrative review, we recount the GWAS landscape of the early years that established a genotype-phenotype catalog that is now universally understood to be inadequate for a complete understanding of complex human genetics. We then describe approaches taken to augment the genotype-phenotype catalog, including the study populations, collaborative consortia, and study design approaches aimed to generalize and then ultimately discover genome-wide associations in non-European descent populations. The collaborations and data resources established in the efforts to diversify genomic findings undoubtedly provide the foundations of the next chapters of genetic association studies with the advent of budget-friendly whole-genome sequencing.
| S-EPMC10720270 | biostudies-literature
Project description:IntroductionThe adoption of precision medicine (PM) has been limited in practice to date, and yet its promise has attracted research investments. Developing foundational economic approaches for directing proper use of PM and stimulating growth in this area from multiple perspectives is thus quite timely.MethodsBuilding on our previously developed expected value of individualized care (EVIC) framework, we conceptualize new decision-relevant metrics to better understand and forecast the expected value of PM. Several aspects of behavior at the patient, physician, and payer levels are considered that can inform the rate and manner in which PM innovations diffuse throughout the relevant population. We illustrate this framework and the methods using a retrospective evaluation of the use of OncotypeDx genomic test among breast cancer patients.ResultsThe enriched metrics can help inform many facets of PM decision making, such as evaluating alternative reimbursement levels for PM tests, implementation and education programs for physicians and patients, and decisions around research investments by manufacturers and public entities. We replicated prior published results on evaluation of OncotypeDx among breast cancer patients but also illustrated that those results are based on assumptions that are often not met in practice. Instead, we show how incorporating more practical aspects of behavior around PM could lead to drastically different estimates of value.ConclusionWe believe that the framework and the methods presented can provide decision makers with more decision-relevant tools to explore the value of PM. There is a growing recognition that data on adoption is important to decision makers. More research is needed to develop prediction models for potential diffusion of PM technologies.
| S-EPMC5845804 | biostudies-literature
Project description:Biomedical research is increasingly capitalizing on an array of data to illuminate the interplay between "omics," lifestyle, and health. Leveraging this information presents opportunities to advance knowledge but also poses risks to research participants. In interviews with thought leaders, we asked which data type associated with a hypothetical precision medicine research endeavor was riskiest: 42% chose ongoing access to electronic health records, 17% chose genomic analyses of biospecimens, and 15% chose streaming data from mobile devices. Other responses included "It depends" (15%), the three types are equally risky (8%), and the combination of data types together is riskiest (3%). When asked to consider the hypothetical study overall, 60% rated the likelihood of the risks materializing as low, but 20% rated the potential consequences as severe. These results have implications for study design and informed consent, including placing appropriate emphasis on the risks and protections for the full range of data.
| S-EPMC7702072 | biostudies-literature