Strategic vision for improving human health at The Forefront of Genomics.


Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
10 2020
Historique:
received: 30 06 2020
accepted: 04 09 2020
entrez: 29 10 2020
pubmed: 30 10 2020
medline: 15 1 2021
Statut: ppublish

Résumé

Starting with the launch of the Human Genome Project three decades ago, and continuing after its completion in 2003, genomics has progressively come to have a central and catalytic role in basic and translational research. In addition, studies increasingly demonstrate how genomic information can be effectively used in clinical care. In the future, the anticipated advances in technology development, biological insights, and clinical applications (among others) will lead to more widespread integration of genomics into almost all areas of biomedical research, the adoption of genomics into mainstream medical and public-health practices, and an increasing relevance of genomics for everyday life. On behalf of the research community, the National Human Genome Research Institute recently completed a multi-year process of strategic engagement to identify future research priorities and opportunities in human genomics, with an emphasis on health applications. Here we describe the highest-priority elements envisioned for the cutting-edge of human genomics going forward-that is, at 'The Forefront of Genomics'.

Identifiants

pubmed: 33116284
doi: 10.1038/s41586-020-2817-4
pii: 10.1038/s41586-020-2817-4
pmc: PMC7869889
mid: NIHMS1663240
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

683-692

Subventions

Organisme : Intramural NIH HHS
ID : Z99 HG999999
Pays : United States

Références

The Human Genome Project; https://www.genome.gov/human-genome-project (accessed 28 June 2020)
Lander, E. S. et al. Initial sequencing and analysis of the human genome. Nature 409, 860–921 (2001).
pubmed: 11237011
International Human Genome Sequencing Consortium. Finishing the euchromatic sequence of the human genome. Nature 431, 931–945 (2004).
NHGRI. The cost of sequencing a human genome; https://www.genome.gov/about-genomics/fact-sheets/Sequencing-Human-Genome-cost (accessed 12 June 2020)
Moore, J. E. et al. Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 583, 699–710 (2020).
pubmed: 32728249 pmcid: 7410828
Shema, E., Bernstein, B. E. & Buenrostro, J. D. Single-cell and single-molecule epigenomics to uncover genome regulation at unprecedented resolution. Nat. Genet. 51, 19–25 (2019).
pubmed: 30559489
The 1000 Genomes Project Consortium et al. A global reference for human genetic variation. Nature 526, 68–74 (2015).
pmcid: 4750478
Karczewski, K. J. et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581, 434–443 (2020). Analysis of a large dataset of exome sequences, yielding important descriptions of the extent and nature of human genomic variation and insights into protein evolution.
pubmed: 32461654 pmcid: 7334197
Posey, J. E. et al. Insights into genetics, human biology and disease gleaned from family based genomic studies. Genet. Med. 21, 798–812 (2019).
pubmed: 30655598 pmcid: 6691975
Claussnitzer, M. et al. A brief history of human disease genetics. Nature 577, 179–189 (2020).
pubmed: 31915397 pmcid: 7405896
Manolio, T. A. et al. Opportunities, resources, and techniques for implementing genomics in clinical care. Lancet 394, 511–520 (2019).
pubmed: 31395439 pmcid: 6699751
Mardis, E. R. The impact of next-generation sequencing on cancer genomics: from discovery to clinic. Cold Spring Harb. Perspect. Med. 9, a036269 (2019).
pubmed: 30397020
Bianchi, D. W. & Chiu, R. W. K. Sequencing of circulating cell-free DNA during pregnancy. N. Engl. J. Med. 379, 464–473 (2018).
pubmed: 30067923
Wright, C. F., FitzPatrick, D. R. & Firth, H. V. Paediatric genomics: diagnosing rare disease in children. Nat. Rev. Genet. 19, 253–268 (2018).
pubmed: 29398702
Collins, F. S., Green, E. D., Guttmacher, A. E. & Guyer, M. S. A vision for the future of genomics research. Nature 422, 835–847 (2003).
pubmed: 12695777
Green, E. D. & Guyer, M. S. Charting a course for genomic medicine from base pairs to bedside. Nature 470, 204–213 (2011).
pubmed: 21307933
McEwen, J. E. et al. The Ethical, Legal, and Social Implications Program of the National Human Genome Research Institute: reflections on an ongoing experiment. Annu. Rev. Genomics Hum. Genet. 15, 481–505 (2014).
pubmed: 24773317
Burke, W. et al. The translational potential of research on the ethical, legal, and social implications of genomics. Genet. Med. 17, 1–9 (2014).
Popejoy, A. B. & Fullerton, S. M. Genomics is failing on diversity. Nature 538, 161–164 (2016). Comprehensive analysis of genome-wide association studies, demonstrating continued severe underrepresentation of individuals of African and Latin American ancestry and Indigenous peoples.
pubmed: 27734877 pmcid: 5089703
Wolf, S. M. et al. Integrating rules for genomic research, clinical care, public health screening and DTC testing: creating translational law for translational genomics. J. Law Med. Ethics 48, 69–86 (2020).
pubmed: 32342790
Adam, D. The promise and peril of the new science of social genomics. Nature 574, 618–620 (2019). Summary of recent studies examining the genetics of bio-behavioural traits, highlighting dangers to groups and society of over-interpreting results in this new field.
pubmed: 31664197
Dias, R. & Torkamani, A. Artificial intelligence in clinical and genomic diagnostics. Genome Med. 11, 70 (2019).
pubmed: 31744524 pmcid: 6865045
Schloss, J. A., Gibbs, R. A., Makhijani, V. B. & Marziali, A. Cultivating DNA sequencing technology after the human genome project. Annu. Rev. Genomics Hum. Genet. 21, 117–138 (2020). Retrospective overview of the NHGRI program for advancing DNA-sequencing technologies, the goal of which was to reduce the cost of sequencing a human genome to $1,000.
pubmed: 32283947
ENCODE: Encyclopedia of DNA Elements; https://www.encodeproject.org/ (accessed 24 June 2020).
Risca, V. I. & Greenleaf, W. J. Unraveling the 3D genome: genomics tools for multiscale exploration. Trends Genet. 31, 357–372 (2015).
pubmed: 25887733 pmcid: 4490074
Logsdon, G. A., Vollger, M. R. & Eichler, E. E. Long-read human genome sequencing and its applications. Nat. Rev. Genet. https://doi.org/10.1038/s41576-020-0236-x (2020).
Miga, K. H. et al. Telomere-to-telomere assembly of a complete human X chromosome. Nature 585, 79–84 (2020). Demonstration of the use of emerging DNA-sequencing technologies, analysis methods, and validation routines to produce the first gapless de novo assembly of a human chromosome sequence.
pubmed: 32663838
Human Pangenome Reference Consortium. Diverse human references drive genomic discoveries for everyone; https://humanpangenome.org/ (accessed 29 June 2020)
Zerbino, D. R., Frankish, A. & Flicek, P. Progress, challenges, and surprises in annotating the human genome. Annu. Rev. Genomics Hum. Genet. 21, 55–79 (2020).
pubmed: 32421357 pmcid: 7116059
Rood, J. E. et al. Toward a common coordinate framework for the human body. Cell 179, 1455–1467 (2019).
pubmed: 31835027 pmcid: 6934046
Stuart, T. & Satija, R. Integrative single-cell analysis. Nat. Rev. Genet. 20, 257–272 (2019).
pubmed: 30696980
Mimitou, E. P. et al. Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells. Nat. Methods 16, 409–412 (2019).
pubmed: 31011186 pmcid: 6557128
Schreiber, J., Durham, T., Bilmes, J. & Noble, W. S. Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome. Genome Biol. 21, 81 (2020).
pubmed: 32228704 pmcid: 7104480
Cunningham, F. et al. Ensembl 2019. Nucleic Acids Res. 47 (D1), D745–D751 (2019).
pubmed: 30407521
Lewin, H. A. et al. Earth BioGenome Project: Sequencing life for the future of life. Proc. Natl Acad. Sci. USA 115, 4325–4333 (2018).
pubmed: 29686065
Lindblad-Toh, K. What animals can teach us about evolution, the human genome, and human disease. Ups. J. Med. Sci. 125, 1–9 (2020).
pubmed: 32054372 pmcid: 7054949
Schatz, M. C. Biological data sciences in genome research. Genome Res. 25, 1417–1422 (2015).
pubmed: 26430150 pmcid: 4579325
Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016). Description of foundational principles to improve data sharing and stewardship by ensuring that biomedical research data (including genomic data) are findable, accessible, interoperable, and reusable.
pubmed: 26978244 pmcid: 4792175
Anderson, W. et al. Towards coordinated international support of core data resources for the life sciences. Preprint at https://www.bioRxiv.org/content/10.1101/110825v3 (2017).
Grossman, R. L. Data lakes, clouds, and commons: a review of platforms for analyzing and sharing genomic data. Trends Genet. 35, 223–234 (2019).
pubmed: 30691868 pmcid: 6474403
Haendel, M. A., Chute, C. G. & Robinson, P. N. Classification, ontology, and precision medicine. N. Engl. J. Med. 379, 1452–1462 (2018).
pubmed: 30304648 pmcid: 6503847
Martínez-Romero, M. et al. Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases. Database (Oxford) 2019, 59 (2019).
Levy, K. D. et al. Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network. Genet. Med. 21, 743–747 (2019).
pubmed: 29997387
Williams, M. S. et al. Genomic information for clinicians in the electronic health record: Lessons learned from the clinical genome resource project and the electronic medical records and genomics network. Front. Genet. 10, 1059 (2019).
pubmed: 31737042 pmcid: 6830110
Lemke, A. A. et al. Primary care physician experiences utilizing a family health history tool with electronic health record-integrated clinical decision support: an implementation process assessment. J. Community Genet. 11, 339–350 (2020).
pubmed: 32020508 pmcid: 7295926
Khera, A. V. et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat. Genet. 50, 1219–1224 (2018). Development and validation of genome-wide polygenic scores that identify population subsets with risk levels equivalent to monogenic genomic variants that are commonly reported and acted upon.
pubmed: 30104762 pmcid: 6128408
Zeggini, E., Gloyn, A. L., Barton, A. C. & Wain, L. V. Translational genomics and precision medicine: Moving from the lab to the clinic. Science 365, 1409–1413 (2019).
pubmed: 31604268
Koehly, L. M. et al. Social and behavioral science at the forefront of genomics: discovery, translation, and health equity. Soc. Sci. Med. 112450, 112450 (2019).
Khan, S. S., Cooper, R. & Greenland, P. Do polygenic risk scores improve patient selection for prevention of coronary artery disease? J. Am. Med. Assoc. 323, 614–615 (2020).
Mostafavi, H. et al. Variable prediction accuracy of polygenic scores within an ancestry group. eLife 9, 1–52 (2020).
Morris, T. T., Davies, N. M., Hemani, G. & Smith, G. D. Population phenomena inflate genetic associations of complex social traits. Sci. Adv. 6, eaay0328 (2020).
pubmed: 32426451 pmcid: 7159920
Bycroft, C. et al. The UK Biobank resource with deep phenotyping and genomic data. Nature 562, 203–209 (2018).
pubmed: 30305743 pmcid: 6786975
Denny, J. C. et al. The “All of Us” Research Program. N. Engl. J. Med. 381, 668–676 (2019).
pubmed: 31412182
Garrison, N. A. et al. Genomic research through an indigenous lens: understanding the expectations. Annu. Rev. Genomics Hum. Genet. 20, 495–517 (2019). Discussion of issues related to conducting genomics research with Indigenous peoples, coupled with suggestions for respecting tribal governance and protecting Indigenous people from group harms.
pubmed: 30892943
Sanderson, S. C. et al. Public attitudes toward consent and data sharing in biobank research: a large multi-site experimental survey in the US. Am. J. Hum. Genet. 100, 414–427 (2017). Survey results from 13,000 individuals regarding participation in research in which their data are shared with others, yielding insight into factors that predict a willingness of people to participate in research and concerns about data privacy.
Milne, R. et al. Trust in genomic data sharing among members of the general public in the UK, USA, Canada and Australia. Hum. Genet. 138, 1237–1246 (2019).
pubmed: 31531740 pmcid: 6874520
Grishin, D., Obbad, K. & Church, G. M. Data privacy in the age of personal genomics. Nat. Biotechnol. 37, 1115–1117 (2019).
pubmed: 31537915
Genomic Literacy, Education and Engagement Initiative; https://www.genome.gov/leadership-initiatives/Genomic-Literacy-Education-Engagement-Initiative (accessed 29 June 2020)
Manolio, T. A. & Murray, M. F. The growing role of professional societies in educating clinicians in genomics. Genet. Med. 16, 571–572 (2014).
pubmed: 24503779
Krakow, M., Ratcliff, C. L., Hesse, B. W. & Greenberg-Worisek, A. J. Assessing genetic literacy awareness and knowledge gaps in the US population: results from the health information national trends survey. Public Health Genomics 20, 343–348 (2017).
pubmed: 29852491
LaRue, K. M., McKernan, M. P., Bass, K. M. & Wray, C. G. Teaching the genome generation: bringing modern human genetics into the classroom through teacher professional development. J. STEM Outreach 1, 48–60 (2018).
pubmed: 31667467 pmcid: 6821449
Mboowa, G. & Sserwadda, I. Role of genomics literacy in reducing the burden of common genetic diseases in Africa. Mol. Genet. Genomic Med. 7, e00776 (2019).
pubmed: 31131548 pmcid: 6625136
Veilleux, S., Bouffard, M. & Bourque Bouliane, M. Patient and health care provider needs and preferences in understanding pharmacogenomic and genomic testing: a meta-data analysis. Qual. Health Res. 30, 43–59 (2020).
pubmed: 31322055
Kung, J. & Wu, C.-T. Leveling the playing field: closing the gap in public awareness of genetics between the well served and underserved. Hastings Cent. Rep. 46, 17–20 (2016).
pubmed: 27649825
Stephens, Z. D. et al. Big data: astronomical or genomical? PLoS Biol. 13, e1002195 (2015).
pubmed: 26151137 pmcid: 4494865
Attwood, T. K., Blackford, S., Brazas, M. D., Davies, A. & Schneider, M. V. A global perspective on evolving bioinformatics and data science training needs. Brief. Bioinform. 20, 398–404 (2019).
pubmed: 28968751
Genomics Education Partnership; http://gep.wustl.edu/ (accessed 16 June 2020).
Campion, M., Goldgar, C., Hopkin, R. J., Prows, C. A. & Dasgupta, S. Genomic education for the next generation of health-care providers. Genet. Med. 21, 2422–2430 (2019).
pubmed: 31110330
McClaren, B. J. et al. Development of an evidence-based, theory-informed national survey of physician preparedness for genomic medicine and preferences for genomics continuing education. Front. Genet. 11, 59 (2020).
pubmed: 32194615 pmcid: 7063665
Dougherty, M. J., Wicklund, C. & Johansen Taber, K. A. Challenges and opportunities for genomics education: Insights from an Institute of Medicine Roundtable Activity. J. Contin. Educ. Health Prof. 36, 82–85 (2016).
pubmed: 26954250
NHGRI. Inter-Society Coordinating Committee for Practitioner Education in Genomics; https://www.genome.gov/For-Health-Professionals/Inter-Society-Coordinating-Committee-for-Practitioner-Education-in-Genomics (accessed 16 June 2020).
Valantine, H. A., Collins, F. S. & Verma, I. M. National Institutes of Health addresses the science of diversity. Proc. Natl Acad. Sci. USA 112, 12240–12242 (2015).
pubmed: 26392553
Hofstra, B. et al. The diversity–innovation paradox in science. Proc. Natl Acad. Sci. USA 117, 9284–9291 (2020). Study of the US doctorate recipients from 1977 to 2015, identifying new contributions by gender and racial or ethnic minority scholars, evidence for lower rates of recognition by majority scholars, and the resulting diversity–innovation paradox in science.
pubmed: 32291335
Martinez, L. R., Boucaud, D. W., Casadevall, A. & August, A. Factors contributing to the success of NIH-designated underrepresented minorities in academic and nonacademic research positions. CBE Life Sci. Educ. 17, ar32 (2018).
pubmed: 29799320
Schindler, D., Dai, J. & Cai, Y. Synthetic genomics: a new venture to dissect genome fundamentals and engineer new functions. Curr. Opin. Chem. Biol. 46, 56–62 (2018).
pubmed: 29751161 pmcid: 6351456
Doudna, J. A. The promise and challenge of therapeutic genome editing. Nature 578, 229–236 (2020). Review of the scientific, technical, and ethical aspects of using CRISPR technology for therapeutic applications in humans.
pubmed: 32051598
UK Biobank; https://www.ukbiobank.ac.uk/ (accessed 14 June 2020).
NIH. All of Us; https://allofus.nih.gov/ (accessed 14 June 2020).
International HundredK+ Cohorts Consortium (IHCC). Linking cohorts, understanding biology, improving health; https://ihccglobal.org/ (accessed 14 June 2020).
Birney, E., Vamathevan, J. & Goodhand, P. Genomics in healthcare: GA4GH looks to 2022. Preprint at https://www.bioRxiv.org/content/10.1101/203554v1 (2017).
Stark, Z. et al. Integrating genomics into healthcare: a global responsibility. Am. J. Hum. Genet. 104, 13–20 (2019).
pubmed: 30609404 pmcid: 6323624
Manolio, T. A. et al. Bedside back to bench: building bridges between basic and clinical genomic research. Cell 169, 6–12 (2017).
pubmed: 28340351 pmcid: 5511379
Rehm, H. L. et al. ClinGen — The clinical genome resource. N. Engl. J. Med. 372, 2235–2242 (2015).
pubmed: 26014595 pmcid: 4474187
Starita, L. M. et al. Variant interpretation: functional assays to the rescue. Am. J. Hum. Genet. 101, 315–325 (2017).
pubmed: 28886340 pmcid: 5590843
International Common Disease Alliance; https://www.icda.bio/ (accessed 24 June 2020).
Welcome to the Pan-Cancer Atlas; https://www.cell.com/pb-assets/consortium/PanCancerAtlas/PanCani3/index.html (accessed 19 June 2020).
Steensma, D. P. et al. Clonal hematopoiesis of indeterminate potential and its distinction from myelodysplastic syndromes. Blood 126, 9–16 (2015).
pubmed: 25931582 pmcid: 4624443
Baslan, T. & Hicks, J. Unravelling biology and shifting paradigms in cancer with single-cell sequencing. Nat. Rev. Cancer 17, 557–569 (2017).
pubmed: 28835719
D’Gama, A. M. & Walsh, C. A. Somatic mosaicism and neurodevelopmental disease. Nat. Neurosci. 21, 1504–1514 (2018).
pubmed: 30349109
Roden, D. M. et al. Pharmacogenomics. Lancet 394, 521–532 (2019).
pubmed: 31395440 pmcid: 6707519
Corbin, L. J. et al. Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference. Nat. Commun. 9, 711 (2018).
pubmed: 29459775 pmcid: 5818506
Savatt, J. M. et al. ClinGen’s GenomeConnect registry enables patient-centered data sharing. Hum. Mutat. 39, 1668–1676 (2018).
pubmed: 30311371 pmcid: 6188701
Eadon, M. T. et al. Implementation of a pharmacogenomics consult service to support the INGENIOUS trial. Clin. Pharmacol. Ther. 100, 63–66 (2016).
pubmed: 26850569 pmcid: 4899152
Darnell, A. J. et al. A clinical service to support the return of secondary genomic findings in human research. Am. J. Hum. Genet. 98, 435–441 (2016).
pubmed: 26942283 pmcid: 4800041
CDC. Public Health Genomics and Precision Health Knowledge Base (v6.4); https://phgkb.cdc.gov/PHGKB/tierStartPage.action (accessed 17 June 2020).
Dotson, W. D. et al. Prioritizing genomic applications for action by level of evidence: a horizon-scanning method. Clin. Pharmacol. Ther. 95, 394–402 (2014).
pubmed: 24398597 pmcid: 4689130
Hopkins, P. N. Genotype-guided diagnosis in familial hypercholesterolemia: population burden and cascade screening. Curr. Opin. Lipidol. 28, 136–143 (2017).
pubmed: 28030379
Bierne, H., Hamon, M. & Cossart, P. Epigenetics and bacterial infections. Cold Spring Harb. Perspect. Med. 2, a010272 (2012).
pubmed: 23209181 pmcid: 3543073
Bhat, A. A. et al. Role of non-coding RNA networks in leukemia progression, metastasis and drug resistance. Mol. Cancer 19, 57 (2020).
pubmed: 32164715 pmcid: 7069174
Sparks, T. M., Harabula, I. & Pombo, A. Evolving methodologies and concepts in 4D nucleome research. Curr. Opin. Cell Biol. 64, 105–111 (2020).
pubmed: 32473574
Young, A. I., Benonisdottir, S., Przeworski, M. & Kong, A. Deconstructing the sources of genotype-phenotype associations in humans. Science 365, 1396–1400 (2019).
pubmed: 31604265 pmcid: 6894903
Mitra, K., Carvunis, A.-R., Ramesh, S. K. & Ideker, T. Integrative approaches for finding modular structure in biological networks. Nat. Rev. Genet. 14, 719–732 (2013).
pubmed: 24045689 pmcid: 3940161
Bien, S. A. et al. The future of genomic studies must be globally representative: perspectives from PAGE. Annu. Rev. Genomics Hum. Genet. 20, 181–200 (2019).
pubmed: 30978304 pmcid: 7012212
Bentley, A. R., Callier, S. L. & Rotimi, C. N. Evaluating the promise of inclusion of African ancestry populations in genomics. Genomic Med. 5, 5 (2020).
Hindorff, L. A. et al. Prioritizing diversity in human genomics research. Nat. Rev. Genet. 19, 175–185 (2018).
pubmed: 29151588
Wojcik, G. L. et al. Genetic analyses of diverse populations improves discovery for complex traits. Nature 570, 514–518 (2019).
pubmed: 31217584 pmcid: 6785182
Landry, L. G., Ali, N., Williams, D. R., Rehm, H. L. & Bonham, V. L. Lack of diversity in genomic databases is a barrier to translating precision medicine research into practice. Health Aff. (Millwood) 37, 780–785 (2018).
Manrai, A. K. et al. Genetic misdiagnoses and the potential for health disparities. N. Engl. J. Med. 375, 655–665 (2016). Demonstration of frequent erroneous classification of genomic variants as pathogenic among patients of African or unspecified ancestry that were subsequently re-categorized as benign, with considerable health implications of those misclassifications.
pubmed: 27532831 pmcid: 5292722
Martin, A. R. et al. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat. Genet. 51, 584–591 (2019).
pubmed: 30926966 pmcid: 6563838
Horowitz, C. R. et al. Successful recruitment and retention of diverse participants in a genomics clinical trial: a good invitation to a great party. Genet. Med. 21, 2364–2370 (2019).
pubmed: 30948857
Botkin, J. R., Mancher, M., Busta, E. R. & Downey, A. S. Returning Individual Research Results to Participants (National Academies Press, 2018).
Lázaro-Muñoz, G. et al. Issues facing us. Am. J. Med. Genet. B. Neuropsychiatr. Genet. 180, 543–554 (2019).
pubmed: 31124312 pmcid: 6861601
Lloyd-Price, J. et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature 569, 655–662 (2019).
pubmed: 31142855 pmcid: 6650278
Hasin, Y., Seldin, M. & Lusis, A. Multi-omics approaches to disease. Genome Biol. 18, 83 (2017).
pubmed: 28476144 pmcid: 5418815
Chambers, D. A., Feero, W. G. & Khoury, M. J. Convergence of implementation science, precision medicine, and the learning health care system: a new model for biomedical research. J. Am. Med. Assoc. 315, 1941–1942 (2016).
Sugano, S. International code of conduct for genomic and health-related data sharing. HUGO J. 8, 1 (2014).
pubmed: 27090249 pmcid: 4685157
Clayton, E. W., Halverson, C. M., Sathe, N. A. & Malin, B. A. A systematic literature review of individuals’ perspectives on privacy and genetic information in the United States. PLoS One 13, e0204417 (2018).
pubmed: 30379944 pmcid: 6209148
Cavallari, L. H. et al. Multi-site investigation of strategies for the clinical implementation of CYP2D6 genotyping to guide drug prescribing. Genet. Med. 21, 2255–2263 (2019).
pubmed: 30894703 pmcid: 6754805
Ginsburg, G. S. A global collaborative to advance genomic medicine. Am. J. Hum. Genet. 104, 407–409 (2019).
pubmed: 30849327 pmcid: 6407494

Auteurs

Eric D Green (ED)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. egreen@nhgri.nih.gov.

Chris Gunter (C)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Leslie G Biesecker (LG)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Valentina Di Francesco (V)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Carla L Easter (CL)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Elise A Feingold (EA)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Adam L Felsenfeld (AL)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

David J Kaufman (DJ)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Elaine A Ostrander (EA)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

William J Pavan (WJ)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Adam M Phillippy (AM)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Anastasia L Wise (AL)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Jyoti Gupta Dayal (JG)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Britny J Kish (BJ)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Allison Mandich (A)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Christopher R Wellington (CR)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Kris A Wetterstrand (KA)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Sarah A Bates (SA)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Darryl Leja (D)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Susan Vasquez (S)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

William A Gahl (WA)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Bettie J Graham (BJ)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Daniel L Kastner (DL)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Paul Liu (P)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Laura Lyman Rodriguez (LL)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Benjamin D Solomon (BD)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Vence L Bonham (VL)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Lawrence C Brody (LC)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Carolyn M Hutter (CM)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Teri A Manolio (TA)

National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

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