Reference genomic database of the Czech population

Přehled o publikaci

a 2025

Reference genomic database of the Czech population

SVOZILOVÁ, Hana; Karla PLEVOVÁ; Simone Andrea BIAGINI; Jakub Paweł PORC; Jakub HYNŠT et al.

Basic information

Original name

Reference genomic database of the Czech population

Authors

SVOZILOVÁ, Hana; Karla PLEVOVÁ; Simone Andrea BIAGINI; Jakub Paweł PORC; Jakub HYNŠT; Jan SVATOŇ; Boris TICHÝ; Vojtěch BYSTRÝ; Viktor STRANECKY; Katerina JIRSOVA; Hana HARTMANNOVA; Michaela BENDOVA; Josef SROVNAL; Jiri DRABEK; Zuzana ROZANKOVA; Marta KALOUSOVA; Tomas ZIMA; Jana VACULÍKOVÁ; Terézia KURUCOVÁ; Jarmila SIMOVA; Lukáš HEJTMÁNEK; Michael DOUBEK; Vera FRANKOVA; Lucie BENESOVA; Magdalena UVIROVA; Stanislav KMOCH; Milan MACEK; Marian HAJDUCH and Šárka POSPÍŠILOVÁ

Edition

European Human Genetics Conference, Milan, 2025

Other information

Language

English

Type of outcome

Konferenční abstrakta

Country of publisher

Italy

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Marked to be transferred to RIV

Organization

Lékařská fakulta – Repository – Repository

Keywords in English

Czech; WGS; reference

Links

EH22_008/0004593, research and development project.

Changed: 15/2/2026 00:51, RNDr. Daniel Jakubík

Abstract

In the original language

gt;0.0884) were removed, retaining onlythird-degree or more distant relatives. Population genetic analyses, including principal component analysis (PCA), were conducted to exploredemographic patterns. Data were compared with global datasets, such as the 1000 Genomes Project (1KGP). Results: The A-C-G-T database(database.acgt.cz) contains WGS data from 1,257 healthy individuals (611 females, 646 males) after removing 10 technical outliers and 23samples with cryptic relatedness from the initial dataset (N=1,290). In the PCA, the samples cluster with other European groups from the1KGP, forming a distinct group that is well-separated from other clusters of European populations. An internal analysis revealed a possiblegenetic cline across the country. Conclusion: This Czech-specific reference improves local variant interpretation and supports precisionmedicine in Central Europe. A follow-up project (A-C-G-T 2) will expand on these data by further exploring genome variation in A-C-G-Tparticipants and analyzing patient cohorts.

Files attached

https://is.muni.cz/publication/2554540/Plevova.pdf

https://is.muni.cz/publication/2554540/Plevova_icthfhbm.pdf

Cite

@proceedings{100307,
   author = {Svozilová, Hana and Plevová, Karla and Biagini, Simone Andrea and Porc, Jakub Paweł and Hynšt, Jakub and Svatoň, Jan and Tichý, Boris and Bystrý, Vojtěch and Stranecky, Viktor and Jirsova, Katerina and Hartmannova, Hana and Bendova, Michaela and Srovnal, Josef and Drabek, Jiri and Rozankova, Zuzana and Kalousova, Marta and Zima, Tomas and Vaculíková, Jana and Kurucová, Terézia and Simova, Jarmila and Hejtmánek, Lukáš and Doubek, Michael and Frankova, Vera and Benesova, Lucie and Uvirova, Magdalena and Kmoch, Stanislav and Macek, Milan and Hajduch, Marian and Pospíšilová, Šárka},
   booktitle = {European Human Genetics Conference, Milan},
   keywords = {Czech; WGS; reference},
   language = {eng},
   title = {Reference genomic database of the Czech population},
   url = {https://2025.eshg.org/},
   year = {2025}
}

TY  - CONF
ID  - 100307
AU  - Svozilová, Hana - Plevová, Karla - Biagini, Simone Andrea - Porc, Jakub Paweł - Hynšt, Jakub - Svatoň, Jan - Tichý, Boris - Bystrý, Vojtěch - Stranecky, Viktor - Jirsova, Katerina - Hartmannova, Hana - Bendova, Michaela - Srovnal, Josef - Drabek, Jiri - Rozankova, Zuzana - Kalousova, Marta - Zima, Tomas - Vaculíková, Jana - Kurucová, Terézia - Simova, Jarmila - Hejtmánek, Lukáš - Doubek, Michael - Frankova, Vera - Benesova, Lucie - Uvirova, Magdalena - Kmoch, Stanislav - Macek, Milan - Hajduch, Marian - Pospíšilová, Šárka
PY  - 2025
TI  - Reference genomic database of the Czech population
KW  - Czech
KW  - WGS
KW  - reference
UR  - https://2025.eshg.org/
N2  - gt;0.0884) were removed, retaining onlythird-degree or more distant relatives. Population genetic analyses, including principal component analysis (PCA), were conducted to exploredemographic patterns. Data were compared with global datasets, such as the 1000 Genomes Project (1KGP). Results: The A-C-G-T database(database.acgt.cz) contains WGS data from 1,257 healthy individuals (611 females, 646 males) after removing 10 technical outliers and 23samples with cryptic relatedness from the initial dataset (N=1,290). In the PCA, the samples cluster with other European groups from the1KGP, forming a distinct group that is well-separated from other clusters of European populations. An internal analysis revealed a possiblegenetic cline across the country. Conclusion: This Czech-specific reference improves local variant interpretation and supports precisionmedicine in Central Europe. A follow-up project (A-C-G-T 2) will expand on these data by further exploring genome variation in A-C-G-Tparticipants and analyzing patient cohorts.
ER  -

Přehled o publikaci