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A large number of risk and protective factors have been identified during the SARS-CoV-2 pandemic which may influence the outcome of COVID-19. Among these, recent studies have explored the role of HLA-G molecules and their immunomodulatory effects in COVID-19, but there are very few reports exploring the genetic basis of these manifestations. The present study aims to investigate how host genetic factors, including gene polymorphisms and sHLA-G, can affect SARS-CoV-2 infection. We compared the immune-genetic and phenotypic characteristics between COVID-19 patients (n = 381) with varying degrees of severity of the disease and 420 healthy controls from Sardinia (Italy). HLA-G locus analysis showed that the extended haplotype was more prevalent in both COVID-19 patients and controls. In particular, this extended haplotype was more common among patients with mild symptoms than those with severe symptoms [22.7% 15.7%, OR = 0.634 (95% CI 0.440 - 0.913); P = 0.016]. Furthermore, the most significant polymorphism ( ) shows that the genotype frequency decreases gradually from 27.6% in paucisymptomatic patients to 15.9% in patients with severe symptoms (X = 7.095, P = 0.029), reaching the lowest frequency (7.0%) in ICU patients (X = 11.257, P = 0.004). However, no significant differences were observed for the soluble HLA-G levels in patients and controls. Finally, we showed that SARS-CoV-2 infection in the Sardinian population is also influenced by other genetic factors such as β-thalassemia trait ( C>T in the gene), -C C1+ group combination and the haplotype which exert a protective effect [P = 0.005, P = 0.001 and P = 0.026 respectively]. Conversely, the Neanderthal gene variant ( A>G) shows a detrimental consequence on the disease course [P = 0.001]. However, by using a logistic regression model, genotype was independent from the other significant variables [OR = 0.4 (95% CI 0.2 - 0.7), P = 6.5 x 10 ]. Our results reveal novel genetic variants which could potentially serve as biomarkers for disease prognosis and treatment, highlighting the importance of considering genetic factors in the management of COVID-19 patients.

Coronavirus disease 2019 (COVID-19) was considered a major public health burden worldwide. Multiple studies have shown that susceptibility to severe infections and the development of long-term symptoms is significantly influenced by viral and host factors. These findings have highlighted the potential of host genetic markers to identify high-risk individuals and develop target interventions to reduce morbimortality. Despite its importance, genetic host factors remain largely understudied in Latin-American populations. Using a case–control design and a custom next-generation sequencing (NGS) panel encompassing 81 genetic variants and 74 genes previously associated with COVID-19 severity and long-COVID, we analyzed 56 individuals with asymptomatic or mild COVID-19 and 56 severe and critical cases. In agreement with previous studies, our results support the association between several clinical variables, including male sex, obesity and common symptoms like cough and dyspnea, and severe COVID-19. Remarkably, thirteen genetic variants showed an association with COVID-19 severity. Among these variants, rs11385942 ( p  < 0.01; OR = 10.88; 95% CI = 1.36–86.51) located in the LZTFL1 gene, and rs35775079 ( p  = 0.02; OR = 8.53; 95% CI = 1.05–69.45) located in CCR3 showed the strongest associations. Various respiratory and systemic symptoms, along with the rs8178521 variant ( p  < 0.01; OR = 2.51; 95% CI = 1.27–4.94) in the IL10RB gene, were significantly associated with the presence of long-COVID. The results of the predictive model comparison showed that the mixed model, which incorporates genetic and non-genetic variables, outperforms clinical and genetic models. To our knowledge, this is the first study in Colombia and Latin-America proposing a predictive model for COVID-19 severity and long-COVID based on genomic analysis. Our study highlights the usefulness of genomic approaches to studying host genetic risk factors in specific populations. The methodology used allowed us to validate several genetic variants previously associated with COVID-19 severity and long-COVID. Finally, the integrated model illustrates the importance of considering genetic factors in precision medicine of infectious diseases.

Background/Objectives: COVID-19 severity is influenced by a complex interplay between host, viral, and environmental factors. Emerging evidence suggests that Neanderthal-derived genetic variants may influence the progression and severity of SARS-CoV-2 infection. This study aimed to evaluate the association between selected Neanderthal-derived variants and COVID-19 severity in the population of the Republic of Srpska, considering relevant clinical, sociodemographic, and lifestyle factors. Methods: This multicentric cross-sectional study included 402 participants, classified as healthy or SARS-CoV-2-positive individuals. A total of 378 COVID-19-positive participants were further stratified according to disease severity and hospitalization status. All individuals were genotyped for the Neanderthal-derived OAS3 rs1156361 (C/T) and LZTFL1 rs35044562 (A/G) variants. Detailed sociodemographic, clinical, and lifestyle data were also collected. Results: A higher frequency of the LZTFL1 rs35044562 AG genotype was observed among hospitalized patients compared with non-hospitalized individuals (36.8% vs. 20.9%; p = 0.005), while the AA genotype was more prevalent among non-hospitalized patients (77.3% vs. 63.2%, p = 0.015). Multivariable logistic analysis showed that carriers of the LZTFL1 AG genotype had a higher chance of hospitalization compared to AA carriers (adjusted OR = 1.372, 95% CI = 0.763–6.383, and p = 0.021). Hospitalized patients more frequently carried the combined CT (OAS3) and AG (LZTFL1) genotypes, supporting a potential synergistic effect. Several sociodemographic factors, including age, sex, education, employment, and urban residence, were also associated with COVID-19 severity, while no significant associations were observed in allele-based analyses. Conclusions: LZTFL1 gene polymorphisms may influence COVID-19 severity, with heterozygote-specific and combined risk effects observed. These preliminary findings are exploratory and require validation in larger cohorts, but may guide future studies and targeted interventions in high-risk groups.

Background: Human chromosome 3p21.31 variants introgressed from Neanderthals have been associated with a higher risk of developing a severe form of COVID-19. These Neanderthal DNA variants would regulate the expression of several genes, including LZTFL1 (implicated in the epithelial–mesenchymal transition) and proinflammatory chemokine receptors. Methods: We studied three introgressed haplotypes in patients who developed critical COVID-19 (N = 446; 82 deaths), less severe non-critical COVID-19 (N = 552), and population controls (N = 500) from the region of Asturias, Northern Spain. All the participants were genotyped for six single nucleotide polymorphisms that defined the three 3p21.31 haplotypes. Results: For the haplotype in the LZTFL1 gene, the total patients were significantly higher frequency carriers of the Neanderthal variant compared to controls (24% vs. 17%; p < 0.05, OR = 1.53, 95% CI = 1.16–2.01). Multiple logistic regression showed that critical COVID-19 was independently associated with male sex, hypertension, dyslipaemia, and the introgressed LZTFL1 haplotype (p = 0.006). The frequency of these introgressed genotypes did not differ between normotensives and normolipaemics in the two patient groups but was significantly increased among hypertensives (p = 0.003) and dyslipaemics (p = 0.001). Conclusions: In our population, the 3p21.31 haplotypes introgressed from Neanderthals were associated with increased risk of critical COVID-19, and the risk effect was higher among patients with hypertension and dyslipaemia.

COVID-19 disease has infected more than 772 million people, leading to 7 million deaths. Although the severe course of COVID-19 can be prevented using appropriate treatments, effective interventions require a thorough research of the genetic factors involved in its pathogenesis. We conducted a genome-wide association study (GWAS) on 7,124 individuals (comprising 6,400 controls who had mild to moderate COVID-19 and 724 cases with severe COVID-19). The inclusion criteria were acute respiratory distress syndrome (ARDS), acute respiratory failure (ARF) requiring respiratory support, or CT scans indicative of severe COVID-19 infection without any competing diseases. We also developed a polygenic risk score (PRS) model to identify individuals at high risk. We identified two genome-wide significant loci ( -value <5 × 10 ) and one locus with approximately genome-wide significance ( -value = 5.92 × 10 -6.15 × 10 ). The most genome-wide significant variants were located in the ( ) gene, which has been highlighted in several previous GWAS studies. Our PRS model results indicated that individuals in the top 10% group of the PRS had twice the risk of severe course of the disease compared to those at median risk [odds ratio = 2.18 (1.66, 2.86), -value = 8.9 × 10 ]. We conducted one of the largest studies to date on the genetics of severe COVID-19 in an Eastern European cohort. Our results are consistent with previous research and will guide further epidemiologic studies on host genetics, as well as for the development of targeted treatments.

SARS-CoV-2 infection, which causes the respiratory disease COVID-19, has spread rapidly from Wuhan, China, since 2019, causing nearly 7 million deaths worldwide in three years. In addition to clinical risk factors such as diabetes, hypertension, and obesity, genetic variability is an important predictor of disease severity and susceptibility. We analyzed common polymorphisms within the LZTFL1 (rs11385942) and ABCA3 (rs13332514) genes in 519 SARS-CoV-2-positive subjects (164 asymptomatic, 246 symptomatic, and 109 hospitalized COVID-19 survivors) and a population-based control group (N = 2,592; COVID-19 status unknown). Rare ABCA3 AA homozygotes (but not A allele carriers) may be at a significantly increased risk of SARS-CoV-2 infection [P = 0.003; OR (95 % CI); 3.66 (1.47 9.15)]. We also observed a borderline significant difference in the genotype distribution of the LZTFL1 rs11385942 polymorphism (P = 0.04) between the population sample and SARS-CoV-2-positive subjects. In agreement with previous studies, a nonsignificantly higher frequency of minor allele carriers was detected among hospitalized COVID-19 subjects. We conclude that a common polymorphism in the ABCA3 gene may be a significant predictor of susceptibility to SARS-CoV-2 infection.

Coronavirus disease 2019 (COVID-19) is a fatal pandemic disease that is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of 13 December, 2020, over 70,000,000 cases and 1,500,000 deaths have been reported over a period of several months; however, the mechanism underlying the pathogenesis of COVID-19 has not been elucidated. To identify the novel risk genetic biomarker for COVID-19, we evaluated the correlation between the case fatality rate of COVID-19 and the genetic polymorphisms of several potential COVID-19-related genes, including interferon-induced transmembrane protein 3 (IFITM3), the angiotensin I converting enzyme 2 (ACE2) gene, transmembrane protease, serine 2 (TMPRSS2), interleukin 6 (IL6), leucine zipper transcription factor-like protein 1 (LZTFL1), and the ABO genes, in various ethnic groups. We obtained the number of COVID-19 cases and deaths from the World Health Organization (WHO) COVID-19 dashboard and calculated the case fatality rate of each ethnic group. In addition, we obtained the allele distribution of the polymorphisms of the IFITM3, ACE2, TMPRSS2, IL6, LZTFL1, and ABO genes from the 1000 Genomes Project and performed Log-linear regression analysis using SAS version 9.4. We found different COVID-19 case fatality rates in each ethnic group. Notably, we identified a strong correlation between the case fatality rate of COVID-19 and the allele frequency of the rs6598045 single nucleotide polymorphism (SNP) of the IFITM3 gene. To the best of our knowledge, this report is the first to describe a strong correlation between the COVID-19 case fatality rate and the rs6598045 SNP of the IFITM3 gene at the population-level.

Bardet–Biedl syndrome (BBS) is a rare clinically and genetically heterogeneous autosomal recessive multi-systemic disorder with 22 known genes. The primary clinical and diagnostic features include six different hallmarks, such as rod–cone dystrophy, learning difficulties, renal abnormalities, male hypogonadism, post-axial polydactyly, and obesity. Here, we report nine consanguineous families and a non-consanguineous family with several affected individuals presenting typical clinical features of BBS. In the present study, 10 BBS Pakistani families were subjected to whole exome sequencing (WES), which revealed novel/recurrent gene variants, including a homozygous nonsense mutation (c.94C>T; p.Gln32Ter) in the IFT27 (NM_006860.5) gene in family A, a homozygous nonsense mutation (c.160A>T; p.Lys54Ter) in the BBIP1 (NM_001195306.1) gene in family B, a homozygous nonsense variant (c.720C>A; p.Cys240Ter) in the WDPCP (NM_015910.7) in family C, a homozygous nonsense variant (c.505A>T; p.Lys169Ter) in the LZTFL1 (NM_020347.4) in family D, pathogenic homozygous 1 bp deletion (c.775delA; p.Thr259Leufs*21) in the MKKS/BBS5 (NM_170784.3) gene in family E, a pathogenic homozygous missense variant (c.1339G>A; p.Ala447Thr) in BBS1 (NM_024649.4) in families F and G, a pathogenic homozygous donor splice site variant (c.951+1G>A; p?) in BBS1 (NM_024649.4) in family H, a pathogenic bi-allelic nonsense variant in MKKS (NM_170784.3) (c.119C>G; p.Ser40*) in family I, and homozygous pathogenic frameshift variants (c.196delA; p.Arg66Glufs*12) in BBS5 (NM_152384.3) in family J. Our findings extend the mutation and phenotypic spectrum of four different types of ciliopathies causing BBS and also support the importance of these genes in the development of multi-systemic human genetic disorders.

Purpose Our previous work identified leucine zipper transcription factor-like 1 (LZTFL1) as a novel tumor suppressor gene, with its expression correlated with survival outcome in gastric cancer (GC) patients. This study focuses on the role of LZTFL1 in GC aggression and metastasis as well as its underlying molecular mechanisms. Method LZTFL1 immunohistochemical (IHC) staining on 311 paired normal/cancer tissue arrays were used to reconfirm the clinical significance of LZTFL1 expression. Transwell chamber assays were used to determine migration and invasive ability of GC cells. Gelatin zymography was employed to investigate the matrix metalloproteinases (MMPs) activity in tumor cells. Co-immunoprecipitation and Duolink in situ proximity ligation assay were used to analyze the interaction between LZTFL1 and β-catenin and the cellular localization of the interaction. Result IHC results indicated that patients with high LZTFL1 expression had a longer overall survival time (58 months, 95 % CI 28–128 months) than patients with low LZTFL1 expression (27 months, 95 % CI 23–35 months; p  < 0.01). The expression level of LZTFL1 is associated with the degree of cell differentiation. LZTFL1 is necessary and sufficient to inhibit the expression of molecular markers associated with epithelial–mesenchymal transition (EMT) and cellular phenotypes associated with tumor cell EMT including the migration, invasion, and the expression and activities of MMPs of tumor cells. LZTFL1 binds β-catenin in the cytoplasm of the cell and inhibited its nuclear translocation. Conclusion LZTFL1 suppresses GC cell EMT by inhibiting β-catenin nuclear translocation. Re-expression of LZTFL1 in GC cells may be a potential therapeutic means to prevent GC metastasis.