J 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

EID Scopus

Klíčová slova anglicky

polygenic risk score; genetic variations; GWAS; genomic prediction; genotype; phenotype

Štítky

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.