Implementation and implications for polygenic risk scores in healthcare

Increasing amounts of genetic data have led to the development of polygenic risk scores (PRSs) for a variety of diseases. These scores, built from the summary statistics of genome-wide association studies (GWASs), are able to stratify individuals based on their genetic risk of developing various com...

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Vydané v:	Human genomics Ročník 15; číslo 1; s. 46 - 18
Hlavní autori:	Slunecka, John L., van der Zee, Matthijs D., Beck, Jeffrey J., Johnson, Brandon N., Finnicum, Casey T., Pool, René, Hottenga, Jouke-Jan, de Geus, Eco J. C., Ehli, Erik A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 20.07.2021 Springer Nature B.V BMC
Predmet:	Algorithms Bioinformatics Biomedical and Life Sciences Biomedicine Cardiovascular disease Clinical genetics Diabetes Ethnicity Genes Genetic Diseases, Inborn - genetics Genetic Predisposition to Disease - genetics Genetic risk Genome-wide association studies Genome-Wide Association Study - statistics & numerical data Genomes Health risk assessment Human Genetics Humans Multifactorial Inheritance - genetics Phenotype Polygenic risk score Proteomics PRS Public health Quantitative genetics Review Risk Factors Risk stratification Schizophrenia Polygenic risk score PRS Genetic risk Clinical genetics Public health Risk stratification
ISSN:	1479-7364, 1473-9542, 1479-7364
On-line prístup:	Získať plný text
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