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[From genome-wide association studies (gwas) to genome-wide polygenic scores (GPS)].

Authors: Bertrand, Jordan;

[From genome-wide association studies (gwas) to genome-wide polygenic scores (GPS)].

Abstract

The accumulation of extensive repositories linking phenotypic and genetic information, together with new computation methods, makes it possible to derive polygenic scores for susceptibility to common diseases that turn out to have strong predictive power. These will be clinically useful to identify individuals at high risk who may be eligible for protective interventions.

Keywords

Multifactorial Inheritance, DNA Mutational Analysis, High-Throughput Nucleotide Sequencing, Coronary Disease, Polymorphism, Single Nucleotide, Crohn Disease, Research Design, Case-Control Studies, Databases, Genetic, Humans, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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