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D004198: Disease Susceptibility

Developed by Shray Alag, The Harker School
Sections: Correlations, Clinical Trials, and HPO

Correlations computed by analyzing all clinical trials.

Navigate: Clinical Trials and HPO

Correlated Drug Terms (10)

Name (Synonyms) Correlation
drug3777 care as usual Wiki 0.45
drug1355 GENETIC Wiki 0.45
drug3937 mobile internet survey on self-test Wiki 0.45
Name (Synonyms) Correlation
drug3280 Susceptibility to infection Wiki 0.45
drug3793 community health worker support Wiki 0.45
drug3766 blood sampling for biobank Wiki 0.45
drug3776 cardiovascular and respiratory systems monitoring Wiki 0.45
drug3779 carotid-femoral pulse-wave velocity Wiki 0.45
drug884 Convalescent Plasma Wiki 0.08
drug3191 Standard of Care Wiki 0.07

Correlated MeSH Terms (4)

Name (Synonyms) Correlation
D020022 Genetic Predisposition to Disease NIH 0.63
D009164 Mycobacterium Infections NIH 0.22
D003141 Communicable Diseases NIH 0.03
Name (Synonyms) Correlation
D007239 Infection NIH 0.02

Correlated HPO Terms (0)

Name (Synonyms) Correlation

Clinical Trials

Navigate: Correlations   HPO

There are 5 clinical trials

1 Registry Study on the Efficacy of a Self-test and Self-alert Applet in Detecting Susceptible Infection of COVID-19 --a Population Based Mobile Internet Survey

The "COVID-19 infection self-test and alert system" (hereinafter referred to as "COVID-19 self-test applet") jointly developed by Beijing Tsinghua Changgung Hospital, Institute for precision medicine, artificial intelligence of Tsinghua University was launched on February 1,2020. Residents , according to their actual healthy situation, after answering questions online, the system will conduct intelligent analysis, make disease risk assessment and give healthcare and medical guidance. Based on the Internet population survey, and referring to the diagnosis and screening standards of the National Health Commission of the People's Republic of China, investigators carried out the mobile applet of Internet survey and registry study for the Internet accessible identifiable population, so as to screen the suspected population and guide the medical treatment.

  1. Susceptibility to Viral and Mycobacterial Infection
  1. Other: mobile internet survey on self-test
MeSH:Infection Communicable Diseases Mycobacterium Infections Disease Susceptibility

Primary Outcomes

Description: after the end of this study, investigators calculate and sum up the total evaluated population and positively diagnosed population, then check the ROC of this system, finally to calculate the sensitivity and accuracy of this self-test and self-alert system

Measure: positive number diagnosed by national guideline in the evaluated population

Time: 5 months

Secondary Outcomes

Description: after the end of this study, investigators calculate the proportion and distribution of evaluated people with normal and abnormal scores

Measure: distribution map of evaluated people

Time: 5 month

Description: after the end of this study, investigators sent the feedback inform to every evaluated people and collect and analysis the response to find out whether this applet can help them in the following surveillance or medical treatment. And how it works.

Measure: Effect of medical guidance by designated feedback questionnaire

Time: 5 month

Description: after the end of this study, investigators sent the designated mental scale including anxiety, and collect the response and draw the conclusion.

Measure: mental scale of relief the mental anxiety and avoid unnecessary outpatient

Time: 5 month
2 Various Molecular Markers With Predictive and Prognostic Significance in COVID-19 Outcome

Background: There is a current worldwide outbreak of the novel coronavirus Covid-19 which originated from Wuhan in China and has now spread to 6 continents including 210 countries. There is still a lack of any report about severe acute respiratory syndromes (SARS-CoV-2) genetic polymorphisms which are associated with the susceptibility to infection. In addition, gene polymorphisms of MBL (mannose-binding lectin) associated with antigen presentation are related to the risk of SARS-CoV infection. Aim: To investigate the association of different genetic markers of different mechanisms of viral pathogenesis with the outcome of COVID-19. Methods: The study will include one hundred patients diagnosed as COVID-19. Biological blood samples will be taken for routine diagnostic analysis, routine molecular testing using Real-time polymerase chain reaction (PCR), Allelic discrimination and genotyping analysis. Outcome: Different genetic markers could play a role in the outcome and prognosis of COVID-19 viral infection.

  1. Genetic Predisposition to Disease
MeSH:Disease Susceptibility Genetic Predisposition to Disease

Primary Outcomes

Description: To assess genetic mutation via detection of genetic polymorphisms of ACE2 in patients and control to detect what alleles will be associated with the susceptibility to COVID-19 and what alleles will be associated with clearance or protection from infections. using allelic discrimination SSCP (i.e Real-time PCR and genetic sequencer).

Measure: for the patients

Time: 2 years
3 Differences in Susceptibility to SARS CoV-2 Infection According to ACE2 and CD26 Receptors, Specific CD4/CD8 T Cell Response to Viral Peptides, and KIR Receptors Among Health Care Workers Highly Exposed to Patients With COVID-19 Diagnosis.

The primary objective of this study is to establish differences in susceptibility to SARS CoV-2 infection among health care workers (HCW) highly exposed to patients with COVID-19 diagnosis. To ascertain this issue, we evaluated: - Changes in receptor polymorphism (ACE2 and CD26 receptor study. - SARS-CoV-2 CD4/CD8 T cell response (CTL) - Different KIR phenotypes

  1. Health Care Worker Patient Transmission
  2. Receptor Site Alteration
  3. Susceptibility, Disease
  4. Immune Response
  1. Diagnostic Test: Susceptibility to infection
MeSH:Disease Susceptibility

Primary Outcomes

Description: ACE2 analysis

Measure: Susceptibility to SARS CoV-2 infection according to ACE2 receptor

Time: 1 month

Description: Activation of CD4-CD8 by viral peptides

Measure: Cellular immune response to SARS CoV-2 infection

Time: 1 month

Description: Analysis of KIR in NK cells

Measure: Susceptibility to infections according to KIR phenoytpes

Time: 2 months

Secondary Outcomes

Description: Survey

Measure: Characteristics of exposure in time and intensity of HCW with SARS CoV-2 infection

Time: 1 month

Description: Activation of CD4-CD8 by viral peptides

Measure: Cellular immune response in HCW with positive IgG against SARS CoV-2

Time: 1 month
4 Association Between IL-12RB and TNF-alpha Gene Polymorphism With Susceptibility and Progress of Covid-19 SARS-CoV-2: A Case Control Study

A novel coronavirus was identified in late 2019 in Wuhan, China On 11 February, The International Committee on Taxonomy of Viruses (ICTV) announced that the official classification of the new coronavirus (2019-nCoV) is called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The World Health Organization (WHO) announced on the same day that the official name of the disease caused by the virus is Corona Virus Disease-19 (COVID-19). WHO has declared the infection a Pandemic on March 11, 2020. Based on previous studies on SARS in 2003 and SARS-MERS 2013 there was a genetic polymorphism associated with the susceptibility and severity of the disease. Interleukin-12 (IL-12) is a cytokine secreted by activated phagocytes and dendritic cells. It plays a pivotal role in promoting Th1-type immune responses and cell-mediated immunity. IL-12 triggers many biological functions: it stimulates the proliferation of activated T- and NK-cells, enhances T- and NK-cell-mediated cytolytic activity, and induces the production of IFN-γ by both T-and NK-cells. The interferon-γ production induced by IL-12 forms a major link between innate and adaptive immunity. A recent study revealed that interferon-mediated immunopathological events are associated with atypical innate and adaptive immune responses in SARS patients. Also, TNF-α is a key mediator of the inflammatory response and is critical for host defense against a wide variety of pathogenic microbes. However, the over-expression of this cytokine may lead to badness in disease recovery. The dual role of TNF, acting as an agent of both innate immunity and inflammatory pathology, poses a considerable challenge for gene regulation.

  1. Covid-19
MeSH:Disease Susceptibility

Primary Outcomes

Description: genetic polymorphism

Measure: Measure level of polymorphisms of interleukin (IL)-12 receptor B1 (IL-12RB1) and TNF- α alpha on COVID-19 related severe acute respiratory syndrome (SARS-CoV-2).

Time: day 1
5 Genetic Predisposition to Severe Forms of COVID-19 (SARS-CoV2 Infection) in Patients Without Comorbidities

The main objective of this part of the project is to identify the germline genetic factors which discriminate the benign and severe forms of SARS-CoV2 (CoVID-19) infection in the context of the ongoing SARS-CoV2 (HCOVID-19) epidemic. The scientific arguments of the project are described in APPENDIX. We hypothesize that pathogenic variants in genes coding for crucial factors involved in the HOST PATHOGEN interaction could explain the susceptibility of some patients to severe disease, even in the absence of comorbidities. The challenge is to identify those of the genetic factors who may be related respiratory distress and potentially further death. Based on our previous experience in sarcoidosis, a multifactorial disease predisposing to opportunistic infections, we will focus particularly the regulation of apoptosis and autophagy, immune response to viral infection, and endoplasmic reticulum stress response (ER STRESS) which is closely linked to apoptosis. Genetic defects in such pathways may decrease the clearance of viral particles and induces the progressive invasion by SARS-CoV2 and destruction of lung parenchyma. Our strategy will be similar to that described in our previous studies on sarcoidosis, recently published. We will combine a comparative genotype analysis by WHOLE EXOME SEQUENCING (WES) of benign and severe forms of SARS-CoV2 infection through clinical subgroups defined by the infectious diseases experts and a bioinformatics analysis of the functional networks identified by the panel of genes sharing pathogenic variants and discriminating the severe forms of the diseases. WES data will be carefully analyzed and related to all the intracellular physiological process and also the functional pathways involved in host-pathogen interaction: viral targets on the cell surface and downstream signaling, viral genomic RNA replication and translation, production and release of new viral particles. Finally, our main objectives are the definition of a gene panel more specifically related to severe forms of infection and the characterization of defective pathways involved in pejorative forms of SARS-COv2 disease in order to identify putative therapeutic targets.

  1. Covid19
  1. Genetic: GENETIC
MeSH:Disease Susceptibility Genetic Predisposition to Disease

Primary Outcomes

Description: Number of genes affected by pathogenic variants in the SEVERE GROUP and for which no mutations have been observed in the CONTROL group For each gene sharing variants in the SEVERE GROUP and not in CONTROLS, the protein encoded by this gene will be identified and his function analyzed in the frame of various protein network software. The frequency of each mutation, so called the minor allele frequency will be evaluated in order to highlight only those which are rare (MAF < 0,01) in the normal population and thus suggesting a putative pathogenic role in the response to SARS-CoV2 infection.

Measure: Primary criteria of data evaluation

Time: through study completion, average 6 months

HPO Nodes


Alphabetical listing of all HPO terms. Navigate: Correlations   Clinical Trials

HPO Nodes


Data processed on January 01, 2021.

An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.

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