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Predictive Genomics is a powerful capability that can help predict disease risk and understand drug response in order to focus health care resources on improving outcomes and managing costs.
Today, clinical care accounts for about 15% of overall health outcomes*. Genomic data can add power to prediction of health outcomes in the following ways:
Stratify populations to identify high-risk individuals
Tailor prescription drugs based on a person’s biology
Featured scientist spotlights
Hear from scientists in the field of predictive genomics as they discuss their respective clinical research focus with the aim of population-scale health management.
Dr. Pui-Yan Kwok
Bringing predictive genomics into a nationwide model: A spotlight on the Taiwan Precision Medicine Initiative
Dr. Timmothy Rebbeck
MADCaP: The First Large Pan-African GWAS Tackling Cancer Health Disparities in African Populations
Predictive Genomics educational series
Polygenic risk scores for coronary disease
Score one for predictive genomics as polygenic risk scoring advances
Read blog ›
Combining genomics and health record data for better health outcomes (FinnGen)
Read customer interview ›
Bringing predictive genomics into a nationwide model (Taiwan PMI)
What is the performance of polygenic risk scores in non-European groups?
Cancer Genomics: What We Can Learn from Africa
Accurate PGx testing: A market overview
Integrating preemptive pharmacogenomics into health care (UPitt)
The vision for preemptive pharmacogenomic screening for broad-based research
Preemptive pharmacogenomics: Covering markers relevant today and those that might be useful in the future
The influence of human genetics on SARS-CoV-2 infection risk: insights from the UK Biobank
Host Genetics with the new Axiom Human Genotyping SARS-CoV-2 Research Array
Biobanks, Phenotypes, and Population Variation: Revolution or Evolution in Complex Trait Genetics?
Improving Transplantation Success with Genotyping
Polygenic risk scores for coronary disease
Score one for predictive genomics as polygenic risk scoring advances
Read blog ›
Combining genomics and health record data for better health outcomes (FinnGen)
Read customer interview ›
Bringing predictive genomics into a nationwide model (Taiwan PMI)
What is the performance of polygenic risk scores in non-European groups?
Cancer Genomics: What We Can Learn from Africa
Accurate PGx testing: A market overview
Integrating preemptive pharmacogenomics into health care (UPitt)
The vision for preemptive pharmacogenomic screening for broad-based research
Preemptive pharmacogenomics: Covering markers relevant today and those that might be useful in the future
The influence of human genetics on SARS-CoV-2 infection risk: insights from the UK Biobank
Host Genetics with the new Axiom Human Genotyping SARS-CoV-2 Research Array
Biobanks, Phenotypes, and Population Variation: Revolution or Evolution in Complex Trait Genetics?
Improving Transplantation Success with Genotyping
Predictive Genomics publications/posters
The selection of publications and posters below focuses on large-scale predictive genomic studies citing the use of the Applied Biosystems Axiom whole-genome microarray platform.
Resources
Predictive Genomics blog series
Gain perspectives on the use and impact of predictive genomics in clinical research.
Axiom microarray solutions ›
As the platform choice for large-scale predictive genomics studies, explore the Axiom microarray portfolio to find your array of choice.
* Data from McKinsey & Company analysis of data from a range of organizations. Article: “The era of exponential improvement in healthcare?” McKinsey & Company, May 2019, p.6.
For Research Use Only. Not for use in diagnostic procedures.
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