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 .