The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
An agenda for personalized medicine
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“Fourth, just as in psychometric measurement, genetic risk profiling can be error-prone [232].”
From Personality and Longevity: Knowns, Unknowns, and Implications for Public Health and Personalized Medicine (2011) · cites this paper as [232]
Citations
Cites
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The NCBI dbGaP database of genotypes and phenotypes
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Self-citationClinical risk factors, DNA variants, and the development of type 2 diabetes
Lyssenko, V., Jonsson, A., Almgren, P., Pulizzi, N., Isomaa, B., Tuomi, T., Berglund, G., Altshuler, D., Nilsson, P., & Groop, L. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801869 · Cited by 938
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Genotype score in addition to common risk factors for prediction of type 2 diabetes
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Newly identified genetic risk variants for celiac disease related to the immune response
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Research works printed but not linked: 1
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Cited by
Sorted by citations
Robson, M. E., Bradbury, A. R., Arun, B., Domchek, S. M., Ford, J. M., Hampel, H. L., Lipkin, S. M., Syngal, S., Wollins, D. S., & Lindor, N. M. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.63.0996 · Cited by 949
The impact of next-generation sequencing on genomics
Zhang, J., Chiodini, R., Badr, A., & Zhang, G. (2011) · Journal of Genetics and Genomics · doi:10.1016/j.jgg.2011.02.003 · Cited by 577
“NGS technologies have increased the speed and throughput capacities of DNA sequencing and, as a result, dramatically reduced overall sequencing costs (Mardis, 2006, 2009; Schuster, 2008; Shendure and Ji, 2008; Ng et al., 2009a; Tucker et al., 2009; Metzker, 2010).”
BackgroundEffect of Direct-to-Consumer Genomewide Profiling to Assess Disease Risk
Bloss, C. S., Schork, N. J., & Topol, E. J. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011893 · Cited by 565
Intellectual Property Rights and Innovation: Evidence from the Human Genome
Williams, H. (2013) · Journal of Political Economy · doi:10.1086/669706 · Cited by 498
Berg, J. S., Khoury, M. J., & Evans, J. P. (2011) · Genetics in Medicine · doi:10.1097/gim.0b013e318220aaba · Cited by 489
Metadata
- Authors
- Ng, P. C., Murray, S. S., Levy, S., & Venter, J. C.
- Affiliations
- J. Craig Venter Institute (US)
- Venue
- Nature
- Published
- 2009-10
- Volume
- 461
- Issue
- 7265
- Pages
- 724-726
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2006204029
- Cited by
- 330
- References
- 20
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 6 · 2021: 5 · 2020: 12 · 2019: 13 · 2018: 23 · 2017: 7 · 2016: 11 · 2015: 23 · 2014: 29 · 2013: 32 · 2012: 48
- FWCI
- 34.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Health Sciences › Nursing › Issues, ethics and legal aspects › Biomedical Ethics and Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Keywords
- personalized medicine, direct-to-consumer genetic testing, prediction accuracy, consumer genomics
- MeSH terms
- Ethnicity, False Negative Reactions, Female, Gene Frequency, Genetic Counseling, Genetic Markers, Genetic Testing, Genetics, Medical, Genotype, Humans, Male, Pharmacogenetics, Prospective Studies, Reproducibility of Results, Health Behavior, Genome, Human, Odds Ratio, Practice Guidelines as Topic, Sequence Analysis, DNA, Genetic Predisposition to Disease, Genome-Wide Association Study
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