Genetics of T2DM and its chronic complications : are we any closer to the individual prediction of genetic risk?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F22%3A00083998" target="_blank" >RIV/00023001:_____/22:00083998 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/22:10466237 RIV/00216208:11110/22:10466237 RIV/00216224:14110/22:00134644 RIV/00064165:_____/22:10466237
Result on the web
<a href="https://fb.cuni.cz/file/6227/fb2022a0019.pdf" target="_blank" >https://fb.cuni.cz/file/6227/fb2022a0019.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Genetics of T2DM and its chronic complications : are we any closer to the individual prediction of genetic risk?
Original language description
Type 2 diabetes mellitus (T2DM) is a com-plex disease that has risen in global prevalence over recent decades, resulting in concomitant and enor-mous socio-economic impacts. In addition to the well-documented risk factors of obesity, poor dietary habits and sedentary lifestyles, genetic background plays a key role in the aetiopathogenesis of diabetes and the development of associated micro-and macro -vascular complications. Recent advances in genomic research, notably next-generation sequencing and ge-nome-wide association studies, have greatly improved the efficiency with which genetic backgrounds to com-plex diseases are analysed. To date, several hundred single-nucleotide polymorphisms have been associ-ated with T2DM or its complications. Given the poly -genic background to T2DM (and numerous other complex diseases), the degree of genetic predisposi-tion can be treated as a "continuous trait" quantified by a genetic risk score. Focusing mainly on the Central European population, this review summa-rizes recent state-of-the-art methods that have en-abled us to better determine the genetic architecture of T2DM and the utility of genetic risk scores in dis-ease prediction.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30202 - Endocrinology and metabolism (including diabetes, hormones)

Project
<a href="/en/project/NV18-01-00046" target="_blank" >NV18-01-00046: Genetic score in prediction of diabetes and its complications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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