Evidence map›Paper›PMID 38123822›Full record

ArticleGenes and immunity2024

Deciphering the host genetic factors conferring susceptibility to severe COVID-19 using exome sequencing.

Kubra Uslu, Firat Ozcelik, Gokmen Zararsiz, Vahap Eldem, Ahu Cephe, Izem Olcay Sahin, Recep Civan Yuksel, Hilal Sipahioglu, Zuhal Ozer Simsek, Osman Baspinar and 8 more

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Article in Genes and immunity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Kubra Uslu *Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey.ORCID 0000-0002-9569-074X
Firat Ozcelik *Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Gokmen ZararsizDepartment of Biostatistics, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Vahap EldemDepartment of Biology, Faculty of Science, Istanbul University, Istanbul, Turkey.
Ahu CepheInstitutional Data Management and Analytics Units, Erciyes University Rectorate, Kayseri, Turkey.
Izem Olcay SahinDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey.ORCID 0000-0002-2105-4767
Recep Civan YukselDivision of Intensive Care Medicine, Department of Internal Medicine, Kayseri City Education and Research Hospital, Kayseri, Turkey.
Hilal SipahiogluDivision of Intensive Care Medicine, Department of Internal Medicine, Kayseri City Education and Research Hospital, Kayseri, Turkey.
Zuhal Ozer SimsekDivision of Intensive Care Medicine, Department of Internal Medicine, Kayseri City Education and Research Hospital, Kayseri, Turkey.
Osman BaspinarDepartment of Internal Medicine, Kayseri City Education and Research Hospital, Kayseri, Turkey.
Hilal AkalinDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Yasin SimsekDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kayseri City Education and Research Hospital, Kayseri, Turkey.
Kursat GundoganDivision of Intensive Care Medicine, Department of Internal Medicine, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Nuri TutarDepartment of Chest Diseases, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Aynur Karayol AkinDepartment of Anesthesiology and Reanimation, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Yusuf OzkulDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Orhan YildizDepartment of Infectious Diseases, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Munis DundarDepartment of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey. dundar@erciyes.edu.tr.ORCID 0000-0003-0969-4611
Erciyes University · TRKayseri Eğitim ve Araştırma Hastanesi · TRIstanbul University · TR

Funding

Erciyes Üniversitesi (Erciyes University) BAP TCD-2021-10936
6 · The paper itself

Abstract

The COVID-19 pandemic remains a significant public health concern despite the new vaccines and therapeutics. The clinical course of acute SARS-CoV-2 infection is highly variable and influenced by several factors related to the virus and the host. Numerous genetic studies, including candidate gene, exome, and genome sequencing studies, genome-wide association studies, and other omics efforts, have proposed various Mendelian and non-Mendelian associations with COVID-19 course. In this study, we conducted whole-exome sequencing on 90 unvaccinated patients from Turkey with no known comorbidities associated with severe COVID-19. Of these patients, 30 had severe, 30 had moderate, and 30 had mild/asymptomatic disease. We identified rare variants in genes associated with SARS-CoV-2 susceptibility and pathogenesis, with an emphasis on genes related to the regulation of inflammation, and discussed these in the context of the clinical course of the patients. In addition, we compared the frequencies of common variants between each group. Even though no variant remained statistically significant after correction for multiple testing, we observed that certain previously associated genes and variants showed significant associations before correction. Our study contributes to the existing literature regarding the genetic susceptibility to SARS-CoV-2. Future studies would be beneficial characterizing the host genetic properties in different populations.

Indexed as

COVID-19Disease ProgressionExome SequencingGenome-Wide Association StudyHumansPandemicsSARS-CoV-2

Identifiers

PMID38123822
OpenAlexW4390012873

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.