2024
A perspective on genetic and polygenic risk scores - advances and limitations and overview of associated tools
SCHWARZEROVÁ, Jana; Martin HURTA; Vojtěch BARTOŇ; Matej LEXA; Dirk WALTHER et al.Základní údaje
Originální název
A perspective on genetic and polygenic risk scores - advances and limitations and overview of associated tools
Autoři
SCHWARZEROVÁ, Jana; Martin HURTA; Vojtěch BARTOŇ ORCID; Matej LEXA; Dirk WALTHER; Valentine PROVAZNÍK ORCID a Wolfram WECKWERTH
Vydání
Briefings in Bioinformatics, OXFORD, Oxford University Press, 2024, 1467-5463
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 7.700
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14110/24:00136034
Organizační jednotka
Lékařská fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
polygenic risk score; genetic variations; GWAS; genomic prediction; genotype; phenotype
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 12. 9. 2024 09:47, Mgr. Tereza Miškechová
Anotace
V originále
Polygenetic Risk Scores are used to evaluate an individual's vulnerability to developing specific diseases or conditions based on their genetic composition, by taking into account numerous genetic variations. This article provides an overview of the concept of Polygenic Risk Scores (PRS). We elucidate the historical advancements of PRS, their advantages and shortcomings in comparison with other predictive methods, and discuss their conceptual limitations in light of the complexity of biological systems. Furthermore, we provide a survey of published tools for computing PRS and associated resources. The various tools and software packages are categorized based on their technical utility for users or prospective developers. Understanding the array of available tools and their limitations is crucial for accurately assessing and predicting disease risks, facilitating early interventions, and guiding personalized healthcare decisions. Additionally, we also identify potential new avenues for future bioinformatic analyzes and advancements related to PRS.