Cited by 637Genomics and Rare DiseasesPharmacogenetics and Drug MetabolismNutrition, Genetics, and Disease

Genomic and personalized medicine: foundations and applications

Ginsburg, Geoffrey S., Willard, Huntington F.·2009·Translational Research

Abstract

The last decade has witnessed a steady embrace of genomic and personalized medicine by senior government officials, industry leadership, health care providers, and the public. Genomic medicine, which is the use of information from genomes and their derivatives (RNA, proteins, and metabolites) to guide medical decision making-is a key component of personalized medicine, which is a rapidly advancing field of health care that is informed by each person's unique clinical, genetic, genomic, and environmental information. As medicine begins to embrace genomic tools that enable more precise prediction and treatment disease, which include "whole genome" interrogation of sequence variation, transcription, proteins, and metabolites, the fundamentals of genomic and personalized medicine will require the development, standardization, and integration of several important tools into health systems and clinical workflows. These tools include health risk assessment, family health history, and clinical decision support for complex risk and predictive information. Together with genomic information, these tools will enable a paradigm shift to a comprehensive approach that will identify individual risks and guide clinical management and decision making, all of which form the basis for a more informed and effective approach to patient care. DNA-based risk assessment for common complex disease, molecular signatures for cancer diagnosis and prognosis, and genome-guided therapy and dose selection are just among the few important examples for which genome information has already enabled personalized health care along the continuum from health to disease. In addition, information from individual genomes, which is a fast-moving area of technological development, is spawning a social and information revolution among consumers that will undoubtedly affect health care decision making. Although these and other scientific findings are making their way from the genome to the clinic, the full application of genomic and personalized medicine in health care will require dramatic changes in regulatory and reimbursement policies as well as legislative protections for privacy for system-wide adoption. Thus, there are challenges from both a scientific and a policy perspective to personalized health care; however, they will be confronted and solved with the certainty that the science behind genomic medicine is sound and the practice of medicine that it informs is evidence based.

Integrity signals

Registry

Crossref · 10.1016/j.trsl.2009.09.005

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

2 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ginsburg, G. S., & Willard, H. F.
Affiliations
Duke University (US)
Corresponding author
Ginsburg, Geoffrey S.
Venue
Translational Research
Publisher
Elsevier BV
Published
2009-12
Volume
154
Issue
6
Pages
277-287
ISSN
  • 1878-1810 (ISSN-L)
  • 1931-5244
OpenAlex
W2030966511
Cited by
637
References
62
Citations by year
2026: 26 · 2025: 47 · 2024: 44 · 2023: 43 · 2022: 23 · 2021: 25 · 2020: 27 · 2019: 28 · 2018: 40 · 2017: 41 · 2016: 28 · 2015: 42 · 2014: 31 · 2013: 57 · 2012: 49
FWCI
4.09
Type
journal article
Language
en
Open access
closed
Locations
  • Translational research (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
Keywords
genomic medicine, personalized medicine, clinical decision support, health risk assessment, family health history, pharmacogenomics, health information privacy
MeSH terms
Genetic Testing, Humans, Pharmacogenetics, Genome, Human, Risk Assessment, Decision Support Systems, Clinical, Precision Medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review