Genotyping of the samples was supported by COVID-19 Host Genetics Initiative. It was performed by the Human Genomics Facility of the Genetic Laboratory of the Department of Internal Medicine at Erasmus MC. Computational resources were provided by The Cancer Genomics Cloud, powered by Seven Bridges, a component of the NCI Cancer Research Data Commons (datacommons.cancer.gov), funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN261201400008C and ID/IQ Agreement No. 17X146 under Contract No. HHSN261201500003I.

Link to this page

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Genotyping of the samples was supported by COVID-19 Host Genetics Initiative. It was performed by the Human Genomics Facility of the Genetic Laboratory of the Department of Internal Medicine at Erasmus MC. Computational resources were provided by The Cancer Genomics Cloud, powered by Seven Bridges, a component of the NCI Cancer Research Data Commons (datacommons.cancer.gov), funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN261201400008C and ID/IQ Agreement No. 17X146 under Contract No. HHSN261201500003I.

Authors

Publications

Genome-wide association analysis for severe COVID-19 in Serbian population

Zečević, Marko; Kotur, Nikola; Ristivojević, Bojan; Gašić, Vladimir; Zukić, Branka; Pavlović, Sonja; Stanković, Biljana

(Belgrade : Institute of molecular genetics and genetic engineering, 2023) 

TY  - CONF
AU  - Zečević, Marko
AU  - Kotur, Nikola
AU  - Ristivojević, Bojan
AU  - Gašić, Vladimir
AU  - Zukić, Branka
AU  - Pavlović, Sonja
AU  - Stanković, Biljana
PY  - 2023
UR  - https://belbi.bg.ac.rs/
UR  - https://imagine.imgge.bg.ac.rs/handle/123456789/2029
AB  - Host genetics, an important contributor to the COVID-19 clinical susceptibility and severity,
currently is the focus of multiple genome-wide association studies (GWAS) in populations
affected by the pandemic. This is the first study from Serbia that performed a GWAS of
COVID-19 outcomes to identify genetic risk markers of disease severity. A group of 128
hospitalized COVID-19 patients from the Serbian population was enrolled in the study.
We conducted a GWAS comparing (1) patients with pneumonia (n = 80) against patients
without pneumonia (n = 48), and (2) severe (n = 34) against mild disease (n = 48) patients,
using a genotyping array followed by imputation of missing genotypes. We have detected
a significant signal associated with COVID-19 related pneumonia at locus 13q21.33, with
a peak residing upstream of the gene KLHL1 (p = 1.91 × 10−8). Our study also replicated
a previously reported COVID-19 risk locus at 3p21.31, identifying lead variants in SACM1L
and LZTFL1 genes suggestively associated with pneumonia (p = 7.54 × 10−6) and
severe COVID-19 (p = 6.88 × 10−7), respectively. Suggestive association with COVID-19
pneumonia has also been observed at chromosomes 5p15.33 (IRX, NDUFS6,MRPL36, p
= 2.81 × 10−6), 5q11.2 (ESM1, p = 6.59 × 10−6), and 9p23 (TYRP1,LURAP1L, p = 8.69 ×
10−6). The genes located in or near the risk loci are expressed in neural or lung tissues, and
have been previously associated with respiratory diseases such as asthma and COVID-19
or reported as differentially expressed in COVID-19 gene expression profiling studies.
Our results revealed novel risk loci for pneumonia and severe COVID-19 disease which
could contribute to a better understanding of the COVID-19 host genetics in different
populations.
PB  - Belgrade : Institute of molecular genetics and genetic engineering
C3  - 4th Belgrade Bioinformatics Conference
T1  - Genome-wide association analysis for severe COVID-19 in Serbian population
EP  - 84
SP  - 84
VL  - 4
UR  - https://hdl.handle.net/21.15107/rcub_imagine_2029
ER  - 
@conference{
author = "Zečević, Marko and Kotur, Nikola and Ristivojević, Bojan and Gašić, Vladimir and Zukić, Branka and Pavlović, Sonja and Stanković, Biljana",
year = "2023",
abstract = "Host genetics, an important contributor to the COVID-19 clinical susceptibility and severity,
currently is the focus of multiple genome-wide association studies (GWAS) in populations
affected by the pandemic. This is the first study from Serbia that performed a GWAS of
COVID-19 outcomes to identify genetic risk markers of disease severity. A group of 128
hospitalized COVID-19 patients from the Serbian population was enrolled in the study.
We conducted a GWAS comparing (1) patients with pneumonia (n = 80) against patients
without pneumonia (n = 48), and (2) severe (n = 34) against mild disease (n = 48) patients,
using a genotyping array followed by imputation of missing genotypes. We have detected
a significant signal associated with COVID-19 related pneumonia at locus 13q21.33, with
a peak residing upstream of the gene KLHL1 (p = 1.91 × 10−8). Our study also replicated
a previously reported COVID-19 risk locus at 3p21.31, identifying lead variants in SACM1L
and LZTFL1 genes suggestively associated with pneumonia (p = 7.54 × 10−6) and
severe COVID-19 (p = 6.88 × 10−7), respectively. Suggestive association with COVID-19
pneumonia has also been observed at chromosomes 5p15.33 (IRX, NDUFS6,MRPL36, p
= 2.81 × 10−6), 5q11.2 (ESM1, p = 6.59 × 10−6), and 9p23 (TYRP1,LURAP1L, p = 8.69 ×
10−6). The genes located in or near the risk loci are expressed in neural or lung tissues, and
have been previously associated with respiratory diseases such as asthma and COVID-19
or reported as differentially expressed in COVID-19 gene expression profiling studies.
Our results revealed novel risk loci for pneumonia and severe COVID-19 disease which
could contribute to a better understanding of the COVID-19 host genetics in different
populations.",
publisher = "Belgrade : Institute of molecular genetics and genetic engineering",
journal = "4th Belgrade Bioinformatics Conference",
title = "Genome-wide association analysis for severe COVID-19 in Serbian population",
pages = "84-84",
volume = "4",
url = "https://hdl.handle.net/21.15107/rcub_imagine_2029"
}
Zečević, M., Kotur, N., Ristivojević, B., Gašić, V., Zukić, B., Pavlović, S.,& Stanković, B.. (2023). Genome-wide association analysis for severe COVID-19 in Serbian population. in 4th Belgrade Bioinformatics Conference
Belgrade : Institute of molecular genetics and genetic engineering., 4, 84-84.
https://hdl.handle.net/21.15107/rcub_imagine_2029
Zečević M, Kotur N, Ristivojević B, Gašić V, Zukić B, Pavlović S, Stanković B. Genome-wide association analysis for severe COVID-19 in Serbian population. in 4th Belgrade Bioinformatics Conference. 2023;4:84-84.
https://hdl.handle.net/21.15107/rcub_imagine_2029 .
Zečević, Marko, Kotur, Nikola, Ristivojević, Bojan, Gašić, Vladimir, Zukić, Branka, Pavlović, Sonja, Stanković, Biljana, "Genome-wide association analysis for severe COVID-19 in Serbian population" in 4th Belgrade Bioinformatics Conference, 4 (2023):84-84,
https://hdl.handle.net/21.15107/rcub_imagine_2029 .